Posts

What Is an Influencer? A Guide to Influencer Marketing

/0 Comments/in /by

People trust the creators they follow every day. That’s why influencer marketing has become such a big part of how brands grow. 

The numbers back it up.

A staggering 92 percent of consumers trust recommendations from influencers more than traditional ads or celebrity endorsements. 

That credibility is a big reason why influencer marketing keeps growing each year.

Brands also turn to influencers because people want authenticity. They want real voices and real experiences. They want content that feels personal. 

What happens when you combine that with the massive reach creators have on platforms like Instagram, TikTok, and YouTube? You get a marketing channel that can drive awareness, traffic, and sales faster than most alternatives. That includes standard social media marketing.

In this guide, you’ll learn what influencers do, how influencer marketing works, and how to find the right partners for your brand.

Key Takeaways

  • Influencer marketing is about tapping into creators who already have trust and attention with your ideal customers. You’re not just renting their reach for a single post.
  • Every tier has a role: Mega- and macro-influencers drive reach, while mid-tier, micro-, and nano-creators tend to deliver stronger engagement and conversions.
  • Almost any business can use influencer marketing, including B2B. The key is audience fit, not brand size or industry.
  • Costs range widely by platform and tier, so treat rate charts as benchmarks. Pay for impact you can measure, not just vanity metrics.
  • Strong programs follow a process: clear goals, the right creators, tight contracts, transparent FTC-compliant disclosure, and performance tracking with links, codes, and real business metrics.

What Is Influencer Marketing

An influencer is someone who can shape opinions or buying decisions because people trust their voice. 

Social platforms made that influence accessible to almost anyone. Creators like Charli D’Amelio and Khaby Lame (pictured below) built massive audiences from scratch, while celebrities like Kylie Jenner amplify the reach they already have.

Khaby Lame posing in a Hugo Boss campaign photo, wearing a patterned sweater, blazer, and light trousers, featured in an Instagram post by BOSS with the hashtag #BeYourOwnBOSS.

Influencer marketing uses that trust to promote products or services. 

Brands work with influencers to create content that feels native to the platform:

  • Short-form videos
  • Product reviews
  • Tutorials
  • Unboxings
  • Livestreams

Some brands even build full campaign partnerships with influencers, bringing them into everything from creative planning to multi-post launches that run across several platforms.

These formats work because they blend into the creator’s everyday content instead of feeling like traditional ads.

The influencer industry keeps expanding. The global influencer marketing market topped $30 billion in 2025 and is on pace to surpass $120 billion by 2030. And brands are investing heavily, with 80 percent of them maintaining or increasing their influencer marketing budgets in 2025.

Who Can Use Influencer Marketing?

You’ll see these collaborations across every sector. Fashion, beauty, e-commerce, entertainment, you name it. Heck, even the World Health Organization used a virtual influencer to lead a COVID-19 prevention campaign. 

Close to 90 percent of companies with more than 100 employees planned to use influencers in 2025, showing just how mainstream influencer marketing has become.

On the B2C side, creators drive real traction for e-commerce, food and beverage, fitness, home décor, travel, and entertainment. These industries benefit from how visual and fast-moving platforms like TikTok, Instagram, and YouTube are.

But the biggest shift is in B2B. 

Experts, analysts, and technical creators now build large followings on LinkedIn, X, and YouTube by teaching complex topics in simple ways. Brands tap these voices to explain products, review tools, share workflows, or demonstrate use cases. And it works because the creator already has trust and credibility with the exact audience you want.

If your customers spend time online (and they do), there’s an influencer with reach in your category.

Why Is Influencer Marketing Important?

Influencer marketing matters because people trust other people more than they trust brands. Your brand becomes more enticing and trustworthy just by association.

It makes sense if you think about it, particularly in a world where AI-generated content floods every corner of the internet. 

When consumers aren’t sure what’s real, they lean on creators they already follow—people who show their faces and share their processes. 

Think of it this way: You probably wouldn’t trust a person at a cocktail party who brags about themselves, trying to convince you to become their friend. But chances are you’ll believe the mutual friend who vouches for that person.

An influencer is that mutual friend.

Their credibility transfers to you. If a creator your audience respects talks about your product, it lands differently than a traditional ad or a brand-written post. It feels like a recommendation from someone they know. 

A quick walkthrough, a tutorial, or a “day in the life” clip can show how your product works far better than a polished studio ad. It helps buyers understand what you do before they ever hit your site.

Influencers also give you reach you can’t get on your own. Their communities already exist. You tap into that attention instantly, instead of building it from scratch. 

Why Is Influencer Marketing Effective?

There must be a reason so many brands are investing hundreds of thousands of dollars into influencer marketing, right? Consider this staggering statistic: 94 percent of marketers say influencer marketing drives more return on investment (ROI) than traditional digital advertising. 

Bar chart titled ‘ROI of Influencer Marketing’ comparing negative ROI for celebrity and macro influencers with positive ROI for mid-size and micro influencers.

But what makes it so effective?

The unstoppable rise of social media obviously plays a part. There are now well over 5 billion social media users around the world, equating to more than two-thirds of people on Earth. On average, users spend more than two hours per day on average on social media.

Infographic titled ‘Overview of Social Media Use – October 2025,’ showing 5.66 billion social media user identities, quarterly and yearly user growth, an average of 18 hours and 36 minutes spent on social platforms per week, and 6.75 platforms used per month. Additional stats include global usage percentages and gender breakdowns.

Then there’s the person-to-person connection. 

It seems that a lot of consumers trust the opinions of influencers. In fact, research shows that a whopping 77 percent of consumers trust content from influencers over traditional ads.

There’s also a generational element to it. Younger buyers—Gen Z and millennials—tend to rely heavily on influencer guidance when making purchase decisions. In fact, Gen Z is twice as likely to trust influencers as baby boomers.

Influencers also explain products in ways people understand. A quick tutorial, demo, or “I use this every day” clip can communicate value faster than any static ad. It reduces uncertainty and helps potential customers visualize your product in their world.

What Are the Different Types of Influencers?

Influencers are typically grouped by audience size, not just by what they’re known for. Most brands work within five tiers: 

  • Mega-influencers
  • Macro-influencers
  • Mid-tier influencers
  • Micro-influencers
  • Nano-influencers

Each group brings different reach and engagement levels (price points, too, but more on that later). And each plays a unique role in a campaign.

Mega-Influencers

  • Follower count: Typically more than 1 million

Mega-influencers are some of the biggest and most popular influencers. 

Many are celebrities who became famous away from social media. Think movie stars, pop stars, sports stars, and TV personalities, like Ryan Reynolds or Kim Kardashian. 

Kim Kardashian posing in a Nike x SKIMS outfit in an Instagram post announcing the Drop 2 release.

Others are creators who built massive audiences entirely online. Think people like Khaby Lame, Addison Rae, or MrBeast, whose platforms turned them into global names.

Screenshot of MrBeast’s YouTube channel showing 453 million subscribers, a banner video titled ‘World’s Fastest Man vs Robot,’ and a row of recent uploads.

This tier works best when the goal is broad awareness. You’re paying for cultural reach, not deep engagement. That’s why they’re often used for major launches, national campaigns, product drops, or high-impact moments.

Brands need bigger budgets to work with mega-influencers, but the payoff is unmatched scale.

Macro-Influencers

  • Follower count: Typically between 100,000 and 1 million

Macro-influencers tend to be well-known creators, podcasters, YouTubers, or niche personalities. They’ve often built their fame online and not through traditional celebrity channels.

They hit a sweet spot for many brands: They offer high reach, but with more consistent engagement than mega-influencers. Their audiences tend to be more aligned with their niches, like travel, fitness, tech, gaming, beauty, and more. This gives brands stronger relevance and better targeting.

Think of creators like Taryn Truly, a body-positive fashion creator whose Instagram profile is pictured below, or Mina Le, a fashion and culture commentator. 

Taryn Truly’s Instagram profile showing her midsize fashion content.

Macro-influencers may not be household names to everyone, but they wield major influence in specific categories. Their endorsement carries real weight with fans.

This influencer tier works well for brands that want meaningful visibility without the mega-influencer price tag. They’re extra valuable for things like product launches, category education, or content series that need a consistent creator presence.

Mid-Tier Influencers

  • Follower count: Typically between 50,000 and 100,000

Mid-tier influencers are established creators who have proven they can grow and sustain an audience, but they aren’t yet operating at celebrity scale.

What makes mid-tier influencers valuable is the balance of reach and strong engagement. Their communities are still highly invested in their content, and their rates are more accessible than macro-level talent. That combination makes them ideal for performance-driven campaigns where you want conversions, affiliate sales, tutorials, or product demos that feel personal and trusted.

Maya Abdallah (wellness) is a great example of a mid-tier voice who consistently moves her audiences to action.

Maya Abdallah’s TikTok profile showing 82K followers, 1.3M likes, and a grid of recent videos.

This tier is often the “workhorse” of influencer marketing, as they’re scalable and cost-efficient.

Micro-Influencers

  • Follower count: Typically between 10,000 and 50,000 

Micro-influencers are known for having some of the most engaged communities online. Their audiences follow them for specific expertise, like fitness, wellness, tech tips, budgeting, parenting, home decor, you name it.

Because their followers trust them deeply, micro-influencers often outperform larger influencers on engagement rate and conversion rate. They’re perfect for brands that need authenticity or niche targeting.

Chart titled ‘ROI of Micro-Influencers Over Time’ showing ROI peaking around month 2 and then steadily declining over 12 months.

A strong example is creators like Jen Lauren, who built a tight-knit community around self-care and women’s fitness. Partners in wellness, boutique fitness, and online coaching spaces often see better ROI with creators like this than with larger names.

Jen Lauren’s TikTok profile showing 37.8K followers, 2.9M likes, and a grid of wellness and running videos.

Micro-influencers are especially helpful for small and mid-sized brands. They’re also a great place to start if you’re testing influencer marketing.

Nano-Influencers

  • Follower count: Typically between 1,000 and 10,000 

Nano-influencers have extremely tight, loyal communities. Their audiences know them personally or feel like they do, which can drive high engagement rates.

This group is powerful for brands that want authentic word-of-mouth or hyper-local impact. They’re great for early-stage launches or local business marketing. With nano-influencers, it’s all about campaigns where credibility matters more than massive reach.

You’ll see nano-influencers thriving in categories like beauty, food, wellness, fashion basics, small business recommendations, and travel. An example is Marc Wanderlust, a nano travel creator whose tight-knit audience trusts his quick, practical destination tips.

Marc Wanderlust’s Instagram profile showing 6,918 followers and a grid of travel photos.

Nano-influencers help brands show up in real conversations with audiences that actually care, making them one of the more cost-effective influencer tiers.

How Much Do Influencers Cost?

The short answer: It varies. Rates depend on audience size, engagement, niche, platform, and the type of content you need. 

According to Influencer Marketing Hub’s latest Influencer Rates report, typical costs break down like this:

Instagram

  • Nano: $10–$100 per post
  • Micro: $100–$500 per post
  • Mid-tier: $500–$5,000 per post
  • Macro: $5,000–$10,000 per post
  • Mega: $10,000 or more per post; could be $1 million or more for some celebrities

TikTok

  • Nano: $5–$25 per post
  • Micro: $25–$125 per post
  • Mid-tier: $125–$1,250 per post
  • Macro: $1,250–$2,500 per post (or more)
  • Mega: $2,500–$20,000 per post (or more)

Most creators work on flat-fee pricing, but affiliate commissions, usage rights, content licensing, and whitelisting can add to the cost. Product-only compensation is usually limited to nano creators and early-stage campaigns.

Influencer campaigns can reach five or six figures depending on talent and scope, so the key is paying at a level where you can realistically drive ROI.

How to Get Started With Influencer Marketing

Ready to run your first influencer campaign? Here’s a clear, practical process you can follow from start to finish.

1. Set clear goals.

Decide what you want to achieve before you reach out to anyone. Maybe that’s brand awareness, traffic, lead generation, content creation, or sales. Whatever the case, your goal determines the type of creator you work with and how you measure success.

2. Understand your audience.

Look at what your customers actually watch and follow online. Pay attention to the platforms they prefer and the types of creators they already trust. If I wanted to promote Ubersuggest, for example, I might look for SEO educators and marketing YouTubers.

3. Build a shortlist of relevant influencers.

We’ll cover this in depth below, but use influencer-discovery tools, social search, hashtags, competitor research, or even your own follower lists to find creators who already reach your target audience. Relevance beats reach every time.

4. Make your pitch.

Keep outreach simple and personal. Explain why you chose them, what you’re proposing, and what they’d get in return. Bigger creators may prefer email or agency contact; smaller creators often respond quickly to DMs.

5. Negotiate the scope and contract.

Outline deliverables, deadlines, usage rights, exclusivity, compensation, and Federal Trade Commission (FTC) disclosure requirements (more on this later). A straightforward contract protects both sides and keeps the project on track.

6. Launch and measure performance.

Use trackable links, codes, or UTM parameters to see what each creator drives. Review engagement, traffic, reach, saves, comments, and sales—whatever aligns with your original goals.

Influencer marketing works best when you treat it like a repeatable process and not a one-off post. Each campaign gives you data you can use to refine the next.

How to Find Your Ideal Influencers

Once you know your goals and your audience, you can start identifying influencers who actually make sense for your brand. I like to use three simple criteria to find influencers:

  • Context: Does the creator naturally talk about topics related to your product or category?
  • Reach: Do they have enough visibility for the results you want? Bigger isn’t always better, but your goals should match their audience size.
  • Actionability: Can they inspire their followers to take action? Creators with the right niche and trust tend to perform best.

Use multiple discovery methods (not just one), and build a shortlist of creators who consistently show up in conversations your audience already cares about.

Social Media Monitoring

Brand advocates are the loudest influencers your brand can have. They’re already talking about you, and they’re reaching people who trust their recommendations.

You can find them by tuning in to your social media mentions and blog posts about your brand. Track who tags you, reviews your product, or mentions your name in posts or videos. Tools like Brandwatch, Sprout Social, Hootsuite Streams, and Mention make this easier by pulling all relevant mentions into one dashboard.

Social listening with tools like AnswerThePublic can also help you spot creators who consistently talk about your niche, even if they haven’t discovered your brand yet. For example, a skincare brand might find rising creators who frequently review moisturizers or post “routine” content that aligns with their audience.

AnswerThePublic keyword research results showing TikTok search volume for moisturizer-related terms.

Start by adding promising creators to a shortlist and tracking their engagement and niche fit.

Research Hashtags

Identify the hashtags that your target market is using. Tuning in to the conversations surrounding these hashtags won’t just show potential influencers, you can also use it to identify blog topics, too.

AnswerThePublic keyword research results showing TikTok search volume for moisturizer-related terms.

Hashtags are one of the fastest ways to find creators your audience already follows. Search for hashtags related to your niche or customer interests and not just your brand name. This is especially effective on Instagram and TikTok, where creators tag content by topic, format, or trend.

For example, if you sell running shoes, hashtags like #runnersofinstagram or #runtok will surface creators who post content your customers care about. You’ll quickly spot who gets real engagement versus who’s posting generic or low-quality content.

Scroll the TikTok grid for #runtok, and you’ll see it’s packed with running creators your audience already follows.

The TikTok hashtag page for #runtok showing a grid of running-related videos.

Once you identify potential influencers, follow them for a while. Note their engagement rate, tone and the types of products they naturally feature. 

Save strong candidates to a spreadsheet so you can compare them later.

Dedicated Influencer Platforms

Influencer platforms make discovery much easier by giving you searchable databases of creators, complete with audience insights, engagement metrics, and pricing estimates. Many also include campaign management tools.

Some of the most widely used platforms include:

  • Aspire
  • Upfluence
  • GRIN
  • Tagger
  • CreatorIQ
  • Impact.com

These tools let you filter by niche, location, platform, follower count, demographics, and brand affinity. That way, you can build a targeted shortlist in minutes instead of hours.

They’re especially useful if you want to scale your influencer program or track ROI more accurately. 

Even if you’re running a small pilot, using a platform can help you confirm whether an influencer’s audience is real and aligned with your ideal customer.

Influencers and Disclosure

Influencer marketing only works when it’s transparent. The FTC has made that crystal clear. If a creator is paid, receives free products, earns affiliate commissions, or has any kind of material connection to your brand, they must disclose it clearly and up front.

That means no buried hashtags, no vague captions, and no “implied” relationships. The FTC expects disclosures like “#ad,” “#paidpartner,” or “Sponsored by…” to appear where viewers will actually see them. They can’t be hidden at the end of a long caption or inside a collapsed list of hashtags. 

Illustration of a social media post thanking Acme for free products with hashtags #AcmePartner and #ad from the FTC document “Disclosures 101 for Social Media Influencers.”

On video platforms, disclosures need to be spoken and written on screen, not just added in the description.

As a brand, you’re on the hook, too. Put disclosure requirements in your contracts, then actually enforce them by reviewing posts before they go live and saving copies of what was approved. That paper trail and clear labeling aren’t just to keep regulators off your back. They also signal to your audience that you’re being straight with them.

If your creator partnerships are transparent, everybody wins. That includes your customers.

FAQs

What is influencer marketing?

Influencer marketing is a strategy where brands partner with creators who have built trust and attention with a specific audience, then collaborate on content that features the brand or product. Instead of running a traditional ad, you tap into the influencer’s relationship with their followers through things like reviews, tutorials, “day in the life” videos, or sponsored posts.

Do influencers get paid?

Yes! In fact, many influencers make a full-time living out of their social media presence. Brands pay them to promote their products or services to their followers. 

Does influencer marketing work?

Influencers have a loyal following of people who trust their opinions and recommendations. By partnering with an influencer, brands can tap into this trust and reach a wider audience than ever before. Plus, influencers often create visually appealing and engaging content that can help capture viewers’ attention.

How do you create an influencer marketing strategy?

Start with a clear goal (awareness, leads, or sales), then pick the platforms your audience actually uses. Set a budget, choose the right influencer tier, and shortlist creators who fit your niche. Agree on deliverables, timelines, and success metrics before you sign anything.

How do you track influencer marketing?

Give each creator unique links or codes, then watch what they drive—traffic, sign-ups, and sales, not just likes. Use your analytics tools to compare creators and content types. Double down on the partnerships that move real numbers and drop the ones that don’t.

Conclusion

The internet has changed, but the idea behind influencer marketing hasn’t. 

Brands still want their products in the hands of people who can shape opinions. Today, influencer marketing is simply a faster, more targeted way to do it.

You might partner with a celebrity who can put your brand in front of millions, or build a roster of micro-influencers with smaller but highly engaged communities. 

Both approaches can work when they match your goals and budget.
If you’re serious about doing this at scale, check out our guide on using ChatGPT to automate parts of the influencer marketing process.

Read more at Read More

How to Build a Brand Subreddit: Full Setup Guide (+ Examples)

/0 Comments/in /by

Creating an official brand subreddit is one of the hardest marketing spaces to get right.

Why?

Because it’s hostile ground for traditional brand messaging, with some of the internet’s snarkiest users watching every move.

But if you strike the right balance, the payoff is huge.

Just look at r/fidelityinvestments.

This brand subreddit has grown into a self-sustaining community.

Members trade tips, ask questions, and help resolve issues before the company’s reps even show up.

Brand Subreddit – Self-sustaining Community

Fidelity’s still there, keeping things on track.

But because the users trust the brand and the space, conversations flow without much hand-holding.

So how do you get there?

This guide breaks it down.

With details on when to create a brand subreddit, when to skip it, and what separates vibrant communities from ghost towns.

(Plus, tons of examples from standout company-owned subreddits.)

Shoutout to Olena Bomko, go-to-market strategist, for sharing her insights from building a brand subreddit in 2025.

Free Resource: Get the Brand Subreddit Launch Kit. It’s everything you need to confidently plan, launch, and manage your community.

Do You Need a Brand Subreddit?

For most brands, the answer is no.

But for a select few, it can become a long-term asset.

You know you’re one of them if:

  • Your customers already talk about you in at least three subreddits
  • You can engage daily without pitching
  • You’ve got a Reddit native to run your subreddit
  • You see complaints as free market research, not an insult

Brand Subreddit

Miss one, and you’ll struggle to keep your subreddit alive.

So, let’s look at each in detail.

Is Your Audience Already on Reddit?

Start by confirming whether your audience already talks about you on Reddit.

Run a quick check and look for:

  • Multiple subreddits covering your category
  • Regular mentions of your brand or competitors
  • Questions or troubleshooting threads about your product space

Use Reddit’s search bar as your starting point.

Type in your brand name, your competitors, or keywords related to your industry. Then, see what comes up.

For example, when I search “Semrush enterprise,” I find frequent mentions of Semrush in SEO subreddits.

Users debate its pros and cons, compare it with competitors, and discuss its product features.

That’s organic energy already in motion. So, a brand subreddit just gives it a home.

Related reading: Audience Research: Stop Guessing What Your Buyers Care About

Another thing:

Some product types just naturally fit Reddit’s community culture, including:

  • Technical or complex tools: SaaS, software, or tools where users want support and feature breakdowns
  • Niche ecommerce brands: Mattresses, supplements, and other high-consideration DTC products people love to compare and review
  • Finance and service tools: Banks, brokers, and budgeting apps where transparency matters
  • Gaming and entertainment: Games or media with built-in fandoms
  • Consumer tech: Gadgets and devices that need troubleshooting and setup discussions
  • News and media brands: Outlets and publishers where audiences already debate coverage and breaking stories

Product Types Perfect for a Brand Subreddit

Are You Committed to Building a Community?

If your only goal is to “control the narrative,” stop right here.

(I can already hear the Reddit mob sharpening their pitchforks.)

Yes, a brand subreddit can absolutely strengthen your reputation. But only as a byproduct of serving your community first.

Your reason for being should be to create a space where users can connect and feel heard.

For example, r/fidelityinvestments is a customer care channel with official Fidelity associates.

Reddit – r/fidelityinvestments – Customer care channel

But it’s also a community.

Where members troubleshoot for each other, share feedback, and even defend the brand when criticisms pop up.

Reddit – r/fidelityinvestments – Flairs and replies

Do You Have an Assigned Moderator?

Someone has to own your brand subreddit.

And they need to be there every day:

Sparking conversations and posting prompts. Plus, modelling the tone you want until the community naturally mirrors it.

That takes a rare mix of skills:

  • Technical familiarity with your product
  • Context across marketing, support, and PR
  • Sharp community instinct and tone awareness

Without that person, keeping your subreddit healthy will always feel like a grind.

Are You Cool with Public Scrutiny?

Even the best teams take hits on Reddit.

The question is: Can you handle it?

Because you will get complaints, and you will get called out.

Sometimes, it’s a full-blown PR storm. Like when REI’s CEO hosted an AMA and got flooded with employee complaints about wages, hours, and sales quotas.

Reddit – PR storm

Other times, it’s smaller.

Like when a Sonos marketing email revealed someone’s password.

Reddit – SONOS Revealing Password

Big or small, the spotlight’s the same.

And the internet expects one thing:

That you stand there, take it, and handle it in stride.

(To their credit, both the REI CEO and u/keithfromSonos did just that.)

Reddit – Handle the expectations

So, ask yourself:

“Do we have a team that can handle that pressure and keep the tone steady?”

If not, skip the brand subreddit rather than lose your cool in public for everyone to screenshot.

Alternatives to a Brand Subreddit

If you don’t meet the above conditions, it doesn’t mean you can’t be on Reddit.

You can still build visibility without launching an official community.

Start by getting active in existing unofficial brand-related subreddits.

GoPro, for example, doesn’t run r/gopro.

Yet, it’s one of the most vibrant product spaces on the platform.

Reddit – r/gopro product space

Another option is to create a non-branded subreddit around your niche.

For example, if you sell hiking gear, launch r/TrailTips or r/UltralightKit.

You still get visibility without the pressure of running an official branded space.

Another alternative is using your user account as your brand’s central presence.

Many media companies do this well. Like The Washington Post at u/washingtonpost/ and Drop.com at u/drop_official/.

Reddit – u/drop_official – Social links

How to Create a Company Subreddit (5 Steps)

Think a company subreddit fits your brand?

Perfect! When done right, it can deliver real results, including:

  • Deeper customer insights
  • A self-sustaining community
  • More visibility in SEO and large language models (LLMs)

“Our share of voice has definitely improved. Two months ago, Reddit Answers didn’t even mention Favikon when I searched for the best influencer marketing platforms. Now, it’s up there in Reddit’s search results.”

– Olena Bomko

Reddit Answers – Favikon mention

Ready to build yours? Let’s get into it.

Step 0: Meet the Minimum Requirements

Before creating a subreddit, become a Redditor first.

Spend time on the platform and learn the culture.

Observe how conversations flow, how moderators maintain order, and what earns trust.

Further reading: Reddit Marketing in 3 Hours/Week: From 0 Karma to Real Cred

Reddit also has minimum requirements before you can create a community:

  • Your account must be at least 30 days old
  • You need positive karma (the exact threshold isn’t public)

Translation:

You have to earn your place before you can build one.

Can You Create a Company Subreddit

Step 1. Get Clear on Your Goals

Before you create a brand subreddit, pick one primary goal for your community.

This dictates how you run the subreddit:

(We’ll talk about cadence, staffing, and moderation in later steps.)

Plus, when everyone knows the “why,” every post naturally lines up with it.

Side note: Your community can support other goals. But your primary goal should define how you measure success. That’s what makes it easier to see whether it’s actually working.

For example, a support-first subreddit focuses on speed, accuracy, and trust.

It needs moderators who know the product and can solve problems publicly.

r/fidelityinvestments is an example of this.

Verified associates answer customer questions, while pinned announcements guide users through service updates.

And, if they were tracking key performance indicators (KPIs), they’d likely focus on response time and resolution rate.

Reddit – r/fidelityinvestments

Now, compare that to a community-first subreddit.

It usually thrives on curation, conversation, and peer support.

Moderators act more like hosts, encouraging user-generated content (UGC) and keeping discussions flowing.

r/LifeOnPurple runs this way.

Reddit – r/LifeOnPurple

The mattress brand posts lightly, shares occasional updates, and lets UGC drive momentum.

Their key metrics probably include:

  • Percentage of UGC
  • Active users
  • Returning posters

Common Brand Subreddit Goals

Here are the top three core goals most brand subreddits serve.

Choose one, commit to it, and let the rest orbit naturally to keep your subreddit focused.

Goal Type Main Tasks Typical Post Types Brand Presence & Awareness
Customer Care Reduce support load and create a searchable archive FAQs, tutorials, outage updates, support megathreads Shape conversation, build credibility, maintain visibility
Community & Advocacy Build loyalty, spark UGC, encourage co-creation “Show & Tell” threads, contests, polls, feedback loops Announcements, AMAs, explainers, curated news
Brand Presence & Awareness Shape conversation, build credibility, maintain visibility UGC ratio, non-brand posts/week, returning posters Engagement rate, sentiment, referral traffic

Step 2: Put People (and Rules) in Place

Once you’ve set your goals, decide who’ll run the subreddit. And how.

The right person (or team) makes sure that:

  • Questions get answered quickly
  • Moderation feels fair
  • Brand messaging stays consistent

Start by assigning one primary moderator.

They’ll be accountable for growth, moderation quality, and reporting insights.

In most teams, that’s your community manager, social media lead, or support head.

Preferably, someone who knows the product and understands community dynamics.

Building a Brand Subreddit Moderation Team

But a great subreddit is rarely a one-person show.

So, make sure your moderator has access to others in the company.

Here’s how that can look depending on your subreddit type:

  • Support-heavy subreddits: Include a product specialist or customer service rep who can jump in fast
  • Community-first spaces: Bring in someone from marketing or content to spark conversations or highlight great posts
  • Developer or technical subs: Involve a product manager or engineer who can step in when discussions get technical

For example, r/SEMrush is run by Semrush employees who actively join conversations and clarify product questions when needed.

Reddit – r/semrush – Important

In contrast, r/hubspot’s moderators are a combination of members from the HubSpot support team and a power user.

Reddit – HubSpot moderators

Bring Key People to Your Subreddit

You should also have a few “guest stars” lined up.

These are your execs, product managers (PMs), or team leads.

They don’t need to be available all the time.

But, having them join conversations signals two things: access and accountability.

For example, as Favikon builds its company subreddit in its early stages, the team regularly runs AMAs with leaders and associates.

Reddit – Bring Key People to Your Subreddit

Define Your Ground Rules

Everyone who represents your brand on Reddit should know exactly how to show up.

So, create an internal guide — like a company subreddit playbook — outlining how your brand speaks and behaves on Reddit.

At a minimum, cover these areas:

  • Brand tone: How your company sounds when it speaks
  • Disclosure: Make it clear you’re speaking for the brand. Use verified handles or flairs like “Official Response” or “From the CEO.”
  • Confidentiality: Define what can be shared publicly vs. what stays internal
  • Escalation: Outline how moderators flag issues to support, PR, or product teams
  • Response guidelines: When to jump in, when to step back, and when to let the community self-resolve
  • Moderation scenarios: How to handle misinformation, conflict, or spam consistently and fairly
  • Crisis protocols: Who leads if a post goes viral, a complaint snowballs, or a product issue surfaces

Brand Subreddit Playbook

Reality check: You don’t need an extensive playbook on day one. Start with the essentials that help moderators act confidently. Then, evolve it as your subreddit — and your instincts — mature.

Step 3: Set Up Your Subreddit

With your moderators and rules ready, it’s time to build the actual space.

To set it up, use a desktop. It’s much smoother than mobile.

Start by clicking “Start a ccommunity” in the left-hand sidebar.

Reddit – Start a community

You’ll see a pop-up window that walks you through setup.

Here’s what matters most in each step.

Pick the Right 3 Topics

First, you’ll be asked to choose three topics your community belongs to.

These help Reddit’s discovery algorithm surface your subreddit to the right users.

So, your topic choice could affect who finds you.

In other words:

Treat topic selection like SEO for community discovery.

Reddit – Start a community – Add topics

Choose Your Community Type

Next, decide how open your subreddit will be:

  • Public: Best for most brand launches
  • Restricted: Useful for soft launches
  • Private: Good for internal pilots or early betas
  • Mature (18+): Only if your content genuinely requires age restriction.

Reddit – What kind of community is this?

Most brands should go “Public” for organic reach.

But there are also situations where “Private” or “Restricted” makes sense.

For example, if you want to keep everything hidden while you build, set it to “Private.”

And, if you’re not launching yet — but you want to own the URL before someone else grabs it — go “Restricted.”

Just remember, switching later requires Reddit’s approval.

Name Your Subreddit

Next comes naming your community.

Reddit – Tell us about your community

This one’s permanent. So, check spelling and capitalization.

Stick with r/YourBrand or r/yourbrand when possible.

If it’s taken, use a clear variant such as r/YourBrandOfficial, r/YourProduct, or r/YourBrandSupport.

Here are a few examples:

  • r/0xPolygon (Polygon Labs)
  • r/SEMrush (Semrush)
  • r/LifeOnPurple (Purple Mattress)

Next, add a short description in the field below the subreddit name.

You can update this anytime.

So, keep it simple for now. (Unless you’ve already got a strong one.)

An effective subreddit description should:

  • Say who it’s for
  • Say what members can do
  • Set expectations

For example, Favikon’s description clearly states what the community is for and what the brand will provide.

Reddit – r/favikon – Description

It’s obvious that the space serves both the community (creators) and the brand’s updates.

Fidelity’s description, on the other hand, is clear that it’s a customer care channel. With Fidelity associates answering product-related questions.

It also clarifies that they don’t handle account-specific issues:

A small but crucial detail that manages expectations early.

Reddit – r/fidelityinvestments – Description

Add Visuals to Make It Look Official

After writing your description, it’s time to add visuals:

Specifically, your icon and banner.

Reddit – Style your community

For your icon, upload a recognizable asset, such as your logo.

This helps users instantly see that the subreddit is official.

Next, add your banner.

A 1920 x 384 pixel image works best, though Reddit also allows slimmer options like 1920 x 256 or 1920 x 128.

Your banner should reflect your brand identity without feeling like an ad.

The r/LifeOnPurple subreddit, for example, uses the Purple Mattress logo and a clean purple banner consistent with its brand design.

Reddit – r/LifeOnPurple – Brand identity

But r/MobileLegendsGame uses detailed artwork that fits its gaming audience.

Reddit – r/MobileLegendsGame – Brand identity

Once you’ve uploaded your logo and banner, click “Create Community.”

And voila! That’s your subreddit live.

Step 4: Personalize and Prepare for Launch

Once your subreddit exists, the next step is to make it feel alive.

Do these four things to make it feel welcoming:

  1. Add clear community rules
  2. Write and pin a welcome post
  3. Add a few starter threads
  4. Set up sticky highlights

Prepare for LauNCH

Let’s walk through each.

Define Community Rules

Every subreddit needs community rules.

They define the kind of space you’re building.

You don’t need a long list, especially at the start. Four to six guidelines are enough to set expectations and boundaries.

Cover the basics first:

  • No spam
  • Be respectful
  • Don’t share personal information

Then, add one or two brand-specific rules.

For example, r/mintmobile, a community with heavy customer engagement, adds a rule against spreading false information.

Plus, a reminder not to post personal details.

Reddit – r/mintmobile rules

While r/hubspot, a fairly new subreddit, has only three rules.

Reddit – r/hubspot rules

To add rules, click “Mod Tools” at the top right sidebar of your subreddit page.

Reddit – r/BacklinkoCommunity – Mod Tools

Then, scroll down to the “MODERATION” section in the left sidebar.

Click “Rules” > “Create Rule.”

Reddit – Moderation – Rules

Pro tip: Spend time exploring Mod Tools. That’s where you customize your subreddit’s look, rules, and automation. The more familiar you are with that panel, the smoother your moderation as the community grows.

Write the Welcome Post

A welcome post helps new visitors understand what the subreddit’s for and how to participate.

There’s no single right format.

Just make it clear and approachable.

r/reolinkcam, for example, uses a pinned “Please Read This Before Posting” thread.

It starts with short, practical guidance, followed by a quick intro, links to product setup guides, and an FAQ section.

Reddit – Welcome post

r/Comcast_Xfinity takes a different approach.

Its welcome post lays out the community code of conduct, explains how to use flairs, and summarizes key rules.

Reddit – r/Comcast_Xfinity – Welcome post

To create your first post, click “Create Post.”

It’s at the top right corner of your subreddit page.

Reddit-r/BacklinkoCommunity – Create Post

Post Conversation Starters

Once your welcome post is live, add a few early posts to make your community feel active.

Some threads you can write include:

  • FAQ: Answer common support or sales questions your team already gets
  • Product updates or announcements: Share new releases to keep people in the loop
  • Community guidelines: Restate the rules and add context, like where to report bugs or how to tag posts
  • How to/tutorial: Solve a top recurring problem. It reduces tickets and becomes a reusable resource.

Pin Community Highlights

Sticky posts are the first thing visitors see when they land on your subreddit.

They’re pinned to the top of your feed.

Reddit – r/mintmobile – Community highlights

When used well, they double as trust signals. A kind of proof that your brand is active and organized.

Start by pinning your “Welcome Post,” then layer in others as your community grows.

For example, r/SEMrush keeps its biggest updates (like the AI Visibility Toolkit launch) and company news pinned.

This way, new visitors instantly see what’s new.

Reddit – r/SEMrush – Community highlights

Meanwhile, r/fidelityinvestments often features

  • Engagement prompts
  • Weekly Q&As
  • Official announcements

Reddit – r/fidelityinvestments – Community highlights

To make any post sticky, open the post, scroll down, and click the shield icon.

Then, select “Add to highlights.”

That post will now appear at the top of your subreddit.

Reddit – Create new post – Add to highlights

Step 5: Launch Your Subreddit

Now that everything’s in place, it’s time to spark the first lights of community.

Invite Founding Members

Founding members help set the tone and the tempo of your brand subreddit.

Ideally, they’re your superfans. People who already share your enthusiasm.

They’re usually:

  • Power users who love your product
  • Loyal customers who actively engage
  • Industry peers who enjoy sharing what they know

Founding Members

These voices bring authenticity and fill your first threads with real conversation.

They’ll also help define your culture.

So, treat them like subreddit co-founders, not just early users.

How do you get them?

Start with a simple, genuine invitation.

A one-on-one message always beats a mass announcement.

Announce It Publicly (But Frame It Right)

Once you’ve got a few active members and threads, announce your subreddit in your owned channels, including:

But don’t pitch it as “a place to follow us.”

Frame it as a shared space where your team and users exchange insights, solve problems, and showcase projects.

You can also invite followers from other platforms when there’s something happening — like an AMA or live discussion.

The way Olena does it on X, for example.

X – Olena Bomko – Status

This approach builds awareness and attracts people who genuinely want to be part of your community.

Cross-Promote in Related Subreddits (Carefully)

If you or your team already participates in related subreddits, mention your new community when it genuinely adds value to a discussion.

Side note: Always check each subreddit’s rules first. Many ban self-promotion.

This tactic works best when your user account already has credibility in that subreddit.

If people recognize your username from your past helpful comments, the subreddit mention feels natural, not sneaky.

Pro tip: NEVER ask employees to pose as independent users to promote your brand. That’s called astroturfing — and it’s one of the fastest ways to destroy credibility on Reddit.

How to Keep Your Brand Subreddit Alive

Once your founding members are active, the real work begins:

Keeping your subreddit alive and thriving.

You don’t need dozens of posts a day, but you do need steady participation.

Moderate and Engage Consistently

How often you show up depends on your subreddit’s purpose, but the principle stays the same:

Be present.

  • Respond quickly: Aim to reply within 24 hours
  • Enforce rules fairly: Remove spam and toxic behavior, but don’t over-police
  • Check in daily (or at least on weekdays): Even 15–20 minutes a day keeps threads from going unanswered

For example, moderators in r/Comcast_Xfinity regularly pin troubleshooting threads and reply to outage questions.

From their flairs alone, you can tell they’re listening and available.

Side note: A flair is a small label that appears next to a username or post title. It adds instant context to every interaction. You can customize flairs in Mod Tools.

Reddit – r/Comcast_Xfinity – Official Reply

Start Meaningful Rituals and Events

Rituals keep communities alive and give people a reason to come back.

Some easy ones to start include:

  • Weekly or monthly megathreads for support or feedback
  • Recurring posts like “Feedback Friday” or “Tutorial Tuesday”
  • Regular AMAs with your CEO or product team
  • Community contests or creative prompts

Brand Subreddit Events and Rituals

Keep these rituals going long enough, and people start showing up out of habit.

It becomes a place where regulars connect through shared threads and interests.

And that’s how your subreddit turns from just another space into a familiar home.

Not sure where to start?

Look at non-brand subreddits for inspiration.

For example, r/bullcity — Durham, North Carolina’s official subreddit — has a biweekly anything goes thread.

This is where people can add any posts that “would otherwise be considered spam” into the thread.

It’s pinned in the community highlights and keeps local conversations active and open.

Reddit – r/bullcity – Anything Goes

Encourage User Contributions

Invite members to share their own tips, advice, and projects.

Then, amplify their participation:

  • Make a special flair for “Top Contributor”
  • Highlight the most useful tips
  • Feature a “Member of the Month”

These small bits of recognition let people know their voice matters. And can turn a casual user into a loyal regular.

Reddit – Small bits of recognition

Pro tip: Reddit’s spam filter can be overzealous. Keep an eye on auto-removed posts so real users don’t lose motivation.

Handle Criticism Transparently (and With Grace)

Negative posts are inevitable, and deleting them is the worst move you can make.

Instead, respond honestly. Acknowledge the issue, and explain what’s being done about it.

Even if your answer isn’t perfect, that transparency helps build credibility.

To see how it’s done well, look at how other brands handle criticism or answer tough questions.

For example, Beardbrand owner, u/bandholz, once replied to the question:

“Is Beardbrand just not great anymore?” in a calm and factual way.

This turned a critical post into a constructive discussion.

Reddit – Handle criticism transparently

Track Your Subreddit Engagement and Growth

To grow your subreddit, think less about control and more about connection.

And always watch the engagement:

Are members helping each other? Are discussions happening without you prompting them?

When activity dips, nudge it with a new prompt or AMA.

When it grows, resist the urge to overmanage.

Then, use Reddit Analytics to see whether the community is growing or slowing.

Reddit – Insights

This helps you quickly gauge what’s working.

“I spend time in Reddit’s native analytics tools. They’re not super detailed, but I can track member growth and weekly contributions. I can also see daily numbers for posts, comments, and unique users. For what I do — and what I need to track right now — that’s more than enough.”

Make Your Brand Subreddit the Hub

Your brand subreddit works best as part of a complete Reddit presence, not in isolation.

Once it’s well-established, blend it with smart Reddit marketing, including ads, partnerships, and organic participation.

That’s when Reddit stops being just another forum and becomes an ecosystem that grows your visibility and your credibility at the same time.

The post How to Build a Brand Subreddit: Full Setup Guide (+ Examples) appeared first on Backlinko.

Read more at Read More

B2C Marketing Strategies: A Complete Guide

/0 Comments/in /by

Good business to consumer marketing (B2C marketing) is the lifeblood of any consumer-facing business. Even Apple, the best-known and most valuable consumer electronics company in the world still invests heavily in B2C digital marketing and advertising.

Here’s a brief look at some of the trends driving the shifting B2C market:

  • Recent data shows email marketing, paid social, and content were the top three channels for B2C brands.
  • 63% of customers prefer to do their brand research on mobile devices.
  • Google accounts for 94.4% of global mobile searches.

In this guide, I’ll dive into the strategies driving these trends. We’ll also discuss what B2C marketing means, which channels should you use, and how can you improve your odds of your success. I’ll explain everything in this article. If you’re ready to start implementing B2C marketing ideas, then let’s begin.

Key Takeaways

  • B2C marketing is about connecting directly with consumers using strategies like SEO, social media, content, email, and paid ads to drive sales and loyalty.
  • Consumer expectations have shifted. Mobile-first design, personalization, and fast-loading websites, and are now essential for success.
  • Strong foundations matter: Define your brand strategy, craft a clear value proposition, build detailed buyer personas, and set SMART goals to guide your campaigns.
  • Top-performing channels include social media (especially TikTok and Instagram), SEO, content marketing, influencer partnerships, and email. Use a mix based on where your audience spends time.
  • Measurement is key: Track relevant KPIs like conversion rates, retention, engagement, and emerging metrics like AI visibility to evaluate campaign performance.

What Is B2C Marketing?

B2C marketing—also known as business-to-consumer marketing or just consumer marketing—is the process of selling to individual consumers (rather than other businesses). The process can involve multiple marketing channels, including targeted digital campaigns, social media engagement, and personalized communication like emails and newsletters.

A lot of people will tell you that the B2C marketing funnel is short. Customers are looking to fill an immediate need. They want a product and they do a Google search (or head to Amazon) to buy it. But I don’t think that’s always true.

In many cases—and especially for expensive products—customers do a significant amount of research and comparison shopping. In other words, the customer journey can be very direct, but it can also be fairly convoluted and have a lot of different touch points.

Because of the proliferation of e-commerce, social media, and the internet in general, B2C marketing happens mostly online. But there are plenty of traditional, offline B2C marketing strategies you can use, too.

B2C vs. B2B Marketing

Unlike B2C marketing, brands use B2B marketing to target other companies rather than individual consumers. But it’s not just the target audience that is different between these two marketing strategies.

Here are some more ways B2C marketing is different from B2B marketing:

  • B2C sales cycles tend to be shorter
  • B2B products tend to cost more
  • B2C marketers usually target a more general audience
  • B2C buyers aren’t doing as much research as B2B (but it’s getting closer now)
  • B2B buyers typically have a strict approval process, while B2C buyers are making decisions often on an individual basis

Because of the longer and more complex buying process I’ve described above, many marketers will tell you B2C marketing is easier than its B2B sibling. But I think that’s unfair. B2C marketing is often much more competitive—and that can make it just as tough a nut to crack.

B2C Marketing Facts and Stats

Want to get the top line on the size and importance of the B2C space? Check out these facts:

How B2C Marketing Strategies Have Evolved

B2C marketing used to be about interruption. Flashy TV ads. Cold emails. Pop-ups. Now, it’s about value.

Consumers expect more, and they want it right away. Personalized product recommendations, mobile-first experiences, and lightning-quick responses are the new normal. If your marketing doesn’t deliver that, people will bounce.

Speed, social proof, and user experience now drive buying decisions. That’s why influencer marketing and user-generated content (UGC) have exploded. People trust TikTok creators and Instagram reviews more than traditional ads. If you’re not building social credibility, you’re losing trust and sales.

AI and machine learning are powering this shift. Real-time email triggers, personalized content, predictive product suggestions—all of it runs on data. AI isn’t a future tool. It’s already shaping how we create better e-commerce marketing funnels that convert.

Take mobile commerce. It’s dominating the space. Fifty-seven percent of global e-commerce sales now happen on smartphones, and that number’s still growing. If your site isn’t fast, clean, and easy to use on mobile, you’re leaving money on the table.

Even customer support is getting a tech makeover. AI-powered chat and automation now handle real-time engagement without compromising the user experience. If you’re curious how this plays out, check out how brands are using AI in e-commerce to deliver smarter, faster service.

Today, B2C marketing is about relevance, not reach. Serve value. Stay fast. Stay human.

Build a Strong Foundation for B2C Marketing Campaigns

Here’s my four-step plan to get you started on the path of a killer marketing B2C campaign.

1. Define Your Brand Identity

A brand strategy is the blueprint for how your business presents itself and connects with customers. It includes your brand purpose, voice, positioning, values, visual identity, and messaging. Together, these elements guide how you show up consistently across marketing, products, and customer experiences to build recognition and trust.

The B2C space is incredibly competitive. You need to have a strong brand identity to stand out from the crowd and get the attention of competitors.

Think about Oatly. There are dozens of milk alternatives, as well as specific oat-based drink brands, but Oatly has done a fantastic job of creating a bold brand identity. Although we saw a slight downtrend (3%) in sales of refrigerated oat milk recently, Oatly is steadily increasing its market share, rising 5% from 2023 to 2024. One of their keys to success is sticking to strong brand principles like their sustainability ethos:

An Oatly Brand sustainability plan.

Source: https://www.oatly.com/en-us/oatly-who/sustainability-plan

So, what does your brand stand for? How do you want to be seen?

Once you’ve answered these questions, you can craft a consistent image and tone of voice and apply them to all of your B2C marketing efforts.

2. Develop Compelling Value Propositions

A value proposition is a statement that communicates the benefits you offer to customers and the things that make your brand stand apart.

Think of it like a 30-second elevator pitch. What’s going to make customers choose your brand over your competitors?

A strong value proposition is clear, specific, and customer-focused. It should answer three key questions fast:

  1. What are you offering?
  2. Who is it for?
  3. Why is it better or different?

If you need inspiration, look at what your top competitors are claiming and then find the gap they’re not addressing.

Avoid vague promises. “High quality” or “great service” doesn’t mean much unless you back it up. Focus on tangible outcomes—”save time, save money, feel better, look better, get results.”

You also want to speak your customer’s language. Use words they actually use when they talk about their problems or goals. That’s how you build relevance and trust.

3. Create Buyer Personas

Who are you targeting? Without a clearly defined target audience, it can be difficult to find the right B2C marketing channels and your campaigns can quickly lose money. That’s where a buyer persona comes in.

A buyer persona is a detailed description of an imaginary member of your target audience. It includes demographic information, as well as their preferences, behaviors, desires, and pain points. The more detailed your buyer personas are, the easier it will be to build B2C marketing strategies that target them effectively.

Here’s a simple example of a buyer persona to give you a starting point:
Sarah, 34, is a busy working mom living in the suburbs. She shops primarily on mobile, values fast delivery, and trusts online reviews. Her biggest pain point is finding affordable, healthy meals her kids will actually eat. She follows parenting influencers on Instagram and prefers brands that save her time without sacrificing quality.

4. Set Clear Goals

What do you want to achieve from your B2C marketing ideas?

Think about your overall business objectives, and then highlight one or more specific improvements that will help you get there. The more specific and measurable your goal, the more likely you’ll be to achieve it.

One proven framework is SMART goals. These help you stay focused and track real progress:

  • Specific – Clear and well-defined
  • Measurable – Can be tracked with data
  • Achievable – Realistic based on your resources
  • Relevant – Tied to business objectives
  • Time-bound – Has a clear deadline

Here are some example goals to inspire you:

  • Increase SEO traffic by 30% in six months
  • Acquire 2,000 email signups through PPC Ads within 2 months
  • Decrease shopping cart abandonment rates by 5 percent in 12 months

B2C Marketing Channels

There are countless B2C marketing channels you can use to promote your product. Let’s quickly run through some of the most popular below.

Your Website

This one is easy. Your website is arguably your most important B2C marketing channel—especially if you are an e-commerce store. It’s a great way to collect leads (via email signups), nurture customers (via blog posts and other forms of content marketing) and sell directly to users.

If you’re looking for an example of how to use your website as a B2C marketing channel, look no further than a well-established e-commerce website like Amazon. It’s tough to leave the site without making a sale. Even then, there’s plenty of additional content to keep you sticking around.

Amazon home page.

But it’s not just about content or offers. Your site’s technical performance matters. Slow-loading pages or images are some of the top reasons customers will leave your site.

This plays into your overall user experience (UX). Your UX needs to be fast, intuitive, and mobile-friendly. Accessibility matters, too. If users can’t navigate or trust your site, they won’t convert. B2C websites need to feel smooth and make buying (or signing up) effortless. That’s what keeps people coming back.

SEO

SEO stands for search engine optimization. It’s the process of optimizing your website to increase the chances it appears on the first page of Google (and other search engines) for relevant terms. This is a powerful strategy since ninety-three percent of online experiences begin with a search engine.

The right SEO strategy can have an incredibly high ROI. In the e-commerce sector, that number is 317 percent. B2C brands like Gymshark prove how powerful it can be. They rank for over 356,000 keywords and generate about 1.5 million organic monthly visitors.

Site audit for Gym shark ubersuggest.

To be effective, you’ll need a mix of on-page and off-page SEO strategies. Start by optimizing all e-commerce product and category pages with relevant keywords in headers, body copy, and URLs. 

Then build authority with high-quality backlinks through digital public relations (DPR) or linkable content like data roundup pieces.

Don’t skip technical SEO either. Behind-the-scenes metrics like site speed, mobile usability, internal linking, and clean navigation all influence rankings. Tools like Google Search Console and Ubersuggest can help you monitor performance and spot issues.

SEO takes time, but once it kicks in, it drives traffic without having to continue spending on ads.

Email

Email is a huge marketing channel in the B2C space. Think about how many emails you get every week from brands. It’s probably a lot, given there are 376.4 billion emails sent every day. There’s a reason that number is so high; it’s because they are easy and cheap to send, and they can generate a huge ROI.

Here’s a great example of a B2C abandoned cart email from McDonald’s encouraging users to go back and make a purchase:

A B2C abandoned cart email from McDonald's.

Social Media

Social media is a more popular marketing channel for B2C brands than B2B companies. Research from HubSpot shows that social media produces the highest ROI for marketers, and marketing teams are doubling down. Don’t believe me? Just look at the breakdown of the roles that marketing managers consider a top priority:

Social media platforms b2b vs. b2c.

Source: HubSpot’s 2025 State of Marketing and Digital Marketing Trends Report

Whether it’s Facebook and Instagram or Twitter and TikTok, almost every B2C brand will find its audience somewhere on these platforms.

Consumers spend an average of 141 minutes per day on social media. That’s time you could be connecting with them. That doesn’t mean you have to constantly promote your products, however. You can use social media to showcase your brand’s personality (like Wendy’s does below) or use it as a customer support channel. Some brands, like Crypto.com, even have dedicated customer support accounts.

Crypto.com customer support.

But you don’t even have to sell or offer customer support to make a splash on social media. Fast food chain Wendy’s uses social media to build huge brand awareness and increase customer loyalty.

Wendy's twitter.

The key is not to treat every platform the same. Here’s how to win on the big ones:

  • Instagram: Prioritize eye-catching visuals and short-form video (Reels). Partner with influencers for reach and credibility.
  • TikTok: Focus on trends, sound-driven content, and authentic, behind-the-scenes videos. It’s great for discovery.
  • Facebook: Best for community building, retargeting, and paid ads. Use Groups and Lives to engage.
  • Pinterest: Strong for e-commerce, especially fashion, beauty, and home. Optimize pins with keywords.
  • X (Twitter): Lean into real-time conversation, updates, and brand voice.
  • YouTube: Great for tutorials, product demos, and long-form storytelling. It also helps with SEO.

Stay consistent, track what works, and lean into the platforms where your audience actually hangs out.

Content Marketing

Content marketing is one of the most powerful strategies for B2B businesses. But I find B2C brands regularly overlook it. That’s a shame, because B2C content marketing can be incredibly effective.

The more content you create, the more chances you have to engage your audience. And it’s not just about blog posts. Men’s grooming brand Beardbrand built a loyal customer base through educational and entertaining YouTube videos.

Beardbrand's website.

You don’t always have to create content yourself, either. User-generated content (UGC) like reviews, forum replies, or social posts from customers can be just as powerful. Just make sure you have permission before sharing.

Great content marketing helps customers see themselves in your brand. Keep it authentic, consistent, and valuable.

Whether you’re writing how-to guides, sharing tips on Instagram, or curating UGC, the goal is the same: create content your audience actually wants, not just what you want to say.

Influencer Marketing

Love them or hate them, influencers are a big deal in the B2C marketing space. When used right, they can be strategic partners for your business. You don’t need to blow your budget on someone like Bella Hadid to see success, though.

Micro-influencers—people with fewer than 100,000 followers—are often more cost-effective and deliver stronger engagement. Their audiences trust them, which means your product comes with built-in credibility.

Influencer marketing works best when it feels authentic. Give creators creative freedom to showcase your product in a way that fits their style. Forced or overly scripted content sticks out—and not in a good way.

Fashion brand Princess Polly is a great example. They’ve built a massive presence by consistently partnering with mid-tier and micro-influencers across TikTok and Instagram. The result? Relatable content that drives real conversions.

Looking to scale? This guide can help you build a team of social media influencers without draining your budget.

SMS

SMS (or text messaging) marketing lets your brand slide into your potential customers’ messages. Given that almost eighty percent of consumers have used their phones to make a purchase,  reaching them directly on these devices can be powerful.

Here’s a fantastic example of how you can promote your products by text, courtesy of Crocs.

Crocs text marketing.

Paid Media

B2C paid media offers fast visibility and scalable reach, if you know how to use it.

Paid search is one of the most popular options. With over two-thirds of web experiences starting on search engines, it’s no surprise brands pay to show up first. You only pay when someone clicks, and attribution is clear. Just know that competitive industries (like insurance or legal) come with higher costs.

Display ads—text, image, or video banners on third-party sites—are another widely used tactic. Platforms like the Google Display Network make it easy to target specific audiences based on their interests, behaviors, or locations. These work well for building awareness and retargeting past visitors.

If you’ve got a bigger budget, TV and streaming ads can be incredibly effective. A 30-second primetime spot can cost hundreds of thousands just for placement—like $828,501 for Sunday Night Football. But when done right, the impact is massive. Think of iconic Apple or Nike ads that people still remember years later.

Paid media is especially powerful in e-commerce marketing, where you can track every click, view, and sale. The best B2C strategies use a mix: search for intent, display for awareness, and streaming for emotional punch. Test often, watch performance closely, and optimize based on results, not guesses.

YouTube

YouTube can be used as a full-funnel B2C marketing channel.

You can use it to build brand awareness, educate customers, showcase products, drive traffic, and even close sales. Think of it as a visual search engine. People go to YouTube to solve problems, research products, and get inspired. That gives you plenty of room to meet them where they are.

A well-optimized branded channel lets you create evergreen content that drives traffic long after it’s published. Tutorials, reviews, and behind-the-scenes videos all perform well, especially when they’re authentic and useful.

And yes, YouTube ads still have their place. Skippable in-stream ads can be effective if you hook the viewer fast. Just lead with value, not a hard sell.

Brands like GoPro grew massive followings by turning product use into entertainment. That’s the real power of YouTube: it sells without feeling like an ad.

GoPro's YouTube channel.

CRO

Conversion rate optimization (CRO) is the process of improving your website or landing pages to increase the percentage of visitors who take a desired action—like making a purchase, signing up for emails, or adding to cart.

In B2C, where buying decisions are often made quickly and impulsively, even small improvements can lead to significant gains. CRO is all about reducing friction and making it as easy as possible for someone to say “yes.”

Start with your product pages and checkout flow. Are CTAs clear? Is mobile performance smooth? Are you building trust with reviews, photos, and guarantees?

A strong CRO strategy includes A/B testing elements like headlines, images, button copy, and layouts. Use data—heatmaps, session recordings, and analytics—to help you make data-driven changes that will move the needle.

At its core, CRO helps you get more value from the traffic you already have. And in a crowded B2C space, that can be a serious edge.

B2C Marketing Strategies to Attract and Engage Customers

There’s no shortage of B2C marketing strategies you can use to attract buyers. Below, I cover some of the most popular and powerful methods.

Run Retargeting Campaigns

Not every consumer who lands on your website is going to make a purchase immediately. The B2C sales cycle may be short, but it’s not that short. But you can use a retargeting campaign to advertise to those consumers until they do.

When you launch a retargeting campaign, you show relevant ads on websites and social media platforms to users who have visited your site but didn’t convert.

To make it work, tailor your ads based on user behavior. Show product reminders or testimonials to establish trust and create a sense of urgency. Keep the messaging consistent with what they viewed.

For example, fashion brand ASOS uses dynamic retargeting to show shoppers the exact items they browsed, often with a discount or low-stock warning to prompt action.

Dynamic retargeting from ASOS.

Source: https://www.emailaudience.com/email-retargeting/

The goal isn’t to annoy, it’s to stay top of mind until they’re ready to buy.

Offer Rewards and Exclusive Discounts

If there’s one strategy I know that almost always works, it’s giving your customers exclusive rewards and discounts. Not only do customers love getting something for free, but they also love feeling like they are part of a special club.

Beauty Insider Benefits from Sephora is a great example of a rewards program. Members earn 1 point for every $1 they spend, as well as additional savings like 20 percent off all year and free gifts on your birthday. Customers can also unlock more benefits based on what they spend each year.

Beauty Insider Benefits from Sephora.

The best thing about rewards and discounts is that they don’t have to cost your brand anything. Sure, you’re giving a small bit away, but you should more than make up for it through an increase in sales.

Consider Starting A Podcast

If you really want to stand out and take your content marketing to the next level, then consider starting a podcast. There are plenty of examples of B2C brands doing this effectively. Check out Duolingo, Bobbie Baby Formula, and Thrive Market.

The best B2C podcasts focus on storytelling, shared values, and topics your audience already cares about. They don’t just promote products—they entertain or educate.

A successful podcast is about giving listeners something worth coming back for. Keep episodes short, focused, and consistent. Interview experts, share behind-the-scenes insights, or answer real customer questions.

And when done right, it doesn’t just support brand awareness. It builds trust, loyalty, and long-term engagement.

Emphasize Your Commitment To Social Responsibility

It’s not enough to sell great products. Consumers also care about what brands stand for and how they behave. It’s why brands like Patagonia have become so popular.

Patagonia's website.

This is particularly important if you target younger generations. Over two-thirds (70%) of Gen Z-ers say they are willing to pay more to support brands that are committed to positive social and environmental impact. Eighty-one percent expect brands to make a public statement about the initiatives they stand for.

Create and Implement Product Schema

If you want your products to stand out in search—and get picked up by AI-driven tools and language models—product schema is a must.

Product schema is a type of structured data that helps search engines understand what’s on your page. When implemented correctly, it can enhance your listings with rich results like star ratings, pricing, availability, and more.

It also gives Google and large language models better context, increasing your chances of showing up in relevant queries or AI summaries.

Start by optimizing your product pages with clear titles, images, and persuasive copy. Then layer in product schema to give search engines a detailed blueprint of each item.

There are plugins and generators that make adding schema easier—even for non-developers.

Product schema helps your pages look better in search, perform better in rankings, and stay visible in an AI-powered search future. Sixty-three percent believe a brand’s actions should reflect what they stand for.

Measuring the Success of Your B2C Campaigns

How you measure the success of your B2C marketing campaigns will depend largely on your goals. You’ll want to make sure the key performance indicators (KPIs) you track are as relevant as possible. So if you want to increase website traffic from SEO, for example, you’ll want to track SERP rankings, SERP click through rates, and web traffic from Google.

Here are some common B2C marketing KPIs to get you started:

  • Web traffic: If you want to drive customers to your website, this KPI is key. Don’t forget to split it into channels to see which B2C marketing channel is driving the most traffic.
  • Conversion rate: Traffic isn’t any good if it doesn’t convert. That’s why you need to measure your site’s conversion rate. You can also measure the conversion rate of specific B2C marketing strategies like PPC ads.
  • Social engagement: Social media is a vital part of the B2C marketing mix. Forget about vanity metrics such as Likes and Views. Measure engagement instead.
  • Customer retention rate: You don’t just want to win customers; you want to retain them. That’s why I always recommend B2C brands measure their retention rates.
  • Customer satisfaction score: One of the most accurate forecasters of customer retention rate is your customer satisfaction score. NPS is my favorite metric to measure this.
  • AI visibility: As search engines evolve, so should your metrics. Track how often your content appears in AI-generated responses or overviews, especially for branded and product-related queries. This helps you measure reach in AI-powered search experiences.

B2C Marketing Tools

B2C marketing becomes a lot easier when you have access to the right tools. Here are some solutions I think will greatly help your efforts.

  • SEO and PPC marketing tools: Tools like Ubersuggest and Semrush are virtually mandatory to improve your SEO and PPC efforts.
  • Market research tools: The more you can learn about your market the easier you’ll find it to create messages that cut through the noise. I turn to Answer the Public for help here.
  • B2C marketplaces: You don’t have to sell directly to consumers from your website or storefront. B2C marketplaces like Amazon and Etsy mean you don’t have to invest thousands into acquiring customers.
  • Analytics platforms: You need to know how customers behave on your website. There’s no better tool than Google Analytics.
  • Email marketing tools: These platforms can be one of the most cost-effective ways to reach your target audience. Try Mailchimp or MailerLite to start.

Overcoming Challenges in B2C Marketing

Marketing a B2C business isn’t plain sailing. You’ll need to overcome the following challenges:

  • Rising Competition and Saturation: One way to beat the competition is to have a superior product. Another is to have a superior marketing strategy. You can outwork the competition by optimizing your ad campaigns to the nth degree or building the perfect SEO strategy. Or you can do something no one else is doing, like launch a controversial campaign or invest in a PR stunt.
  • Data Privacy and Security Concerns: Privacy and security are major concerns in the B2C environment. Customers care about their data more than ever, with eighty-four percent saying the government should do something to regulate the way companies collect and use user data. When you are capturing and storing data from customers, you need to make sure you are doing so in a compliant manner. That means adhering to the GDPR if you operate in the EU and the California Consumer Privacy Act if you operate in the U.S. If you’re concerned about privacy issues, I recommend keeping your efforts focused on first-party data. 
  • Adapting to Changing Consumer Trends and Preferences: In the B2C world, consumer trends and preferences can change in an instant. As a B2C brand, you need to adapt quickly and stay ahead of rapidly changing consumer sentiment. In some cases, this may involve adjusting your messaging, imagery, and other marketing materials. In other cases, it may mean creating new consumer products that you can market if the popularity of your main product fades.

FAQs

What is B2C marketing?

Business-to-consumer (B2C) marketing refers to the strategies brands use to reach, engage and convert individual consumers. B2C marketers use a mix of digital channels—including SEO, social media, email, and PPC—as well as other tactics to attract and retain customers.

How do I do B2C marketing?

Start by identifying your ideal customer and creating messaging that speaks directly to their needs or desires. Use a mix of channels—like social media, content marketing, SEO, and paid ads—to reach them where they are. Track results and keep optimizing based on what drives engagement and sales. 

Is LinkedIn good for B2C marketing?

B2B and B2C are two differeLinkedIn isn’t a go-to platform for most B2C brands, but it can work in specific cases—especially for high-end, education-focused, or career-related products. If your target audience includes professionals or working parents, it may be worth testing. Just keep the content tailored to the platform’s tone and audience.

Conclusion

B2C marketing is one of the most important strategies any consumer-facing brand can use to grow its business. As you’ll now realize, there’s no single B2C marketing strategy or channel that will work for everyone.

That’s why I advise you to try one or two channels and a couple of different marketing strategies first. Only once you’ve got a firm grasp of who your audience is and how they behave, should you start to tailor your efforts and start experimenting with new channels.

Read more at Read More

The enterprise blueprint for winning visibility in AI search

/0 Comments/in , /by
The enterprise blueprint for winning visibility in AI search

We are navigating the “search everywhere” revolution – a disruptive shift driven by generative AI and large language models (LLMs) that is reshaping the relationship between brands, consumers, and search engines.

For the last two decades, the digital economy ran on a simple exchange: content for clicks. 

With the rise of zero-click experiences, AI Overviews, and assistant-led research, that exchange is breaking down.

AI now synthesizes answers directly on the SERP, often satisfying intent without a visit to a website. 

Platforms such as Gemini and ChatGPT are fundamentally changing how information is discovered. 

For enterprises, visibility increasingly depends on whether content is recognized as authoritative by both search engines and AI systems.

That shift introduces a new goal – to become the source that AI cites.

A content knowledge graph is essential to achieving that goal. 

By leveraging structured data and entity SEO, brands can build a semantic data layer that enables AI to accurately interpret their entities and relationships, ensuring continued discoverability in this evolving economy.

This article explores:

  • The difference between traditional search and AI search, including the concept of comprehension budget.
  • Why schema and entity optimization are foundational to discovery in AI search.
  • The content knowledge graph and the importance of organizational entity lineage.
  • The enterprise entity optimization playbook and deployment checklist.
  • The role of schema in the agentic web.
  • How connected journeys improve customer discovery and total cost of ownership.

The fundamental difference between traditional and AI search

To become a source that AI cites, it’s essential to understand how traditional search differs from AI-driven search.

Traditional search functioned much like software as a service. 

It was deterministic, following fixed, rule-based logic and producing the same output for the same input every time.

AI search is probabilistic. 

It generates responses based on patterns and likelihoods, which means results can vary from one query to the next. 

Even with multimodal content, AI converts text, images, and audio into numerical representations that capture meaning and relationships rather than exact matches.

For AI to cite your content, you need a strong data layer combined with context engineering – structuring and optimizing information so AI can interpret it as reliable and trustworthy for a given query.

As AI systems rely increasingly on large-scale inference rather than keyword-driven indexing, a new reality has emerged: the cost of comprehension. 

Each time an AI model interprets text, resolves ambiguity, or infers relationships between entities, it consumes GPU cycles, increasing already significant computing costs.

A comprehension budget is the finite allocation of compute that determines whether content is worth the effort for an AI system to understand.

4 foundational elements for AI discovery

For content to be cited by AI, it must first be discovered and understood. 

While many discovery requirements overlap with traditional search, key differences emerge in how AI systems process and evaluate content.

AI discovery - foundational elements

1. Technical foundation

Your site’s infrastructure must allow AI engines to crawl and access content efficiently. 

With limited compute and a finite comprehension budget, platform architecture matters. 

Enterprises should support progressive crawling of fresh content through IndexNow integration to optimize that budget.

Ideally, this capability is native to the platform and CMS.

2. Helpful content

Before creating content, you need an entity strategy that accurately and comprehensively represents your brand. 

Content should meet audience needs and answer their questions. 

Structuring content around customer intent, presenting it in clear “chunks,” and keeping it fresh are all important considerations.

Dig deeper: Chunk, cite, clarify, build: A content framework for AI search

3. Entity optimization

Schema markup, clean information architecture, consistent headings, and clear entity relationships help AI engines understand both individual pages and how multiple pieces of content relate to one another. 

Rather than forcing models to infer what a page is about, who it applies to, or how information connects, businesses make those relationships explicit.

4. Authority

AI engines, like traditional search engines, prioritize authoritative content from trusted sources. 

Establishing topical authority is essential. For location-based businesses, local relevance and authority are also critical to becoming a trusted source.

The myth: Schema doesn’t work

Many enterprises claim to use schema but see no measurable lift, leading to the belief that schema doesn’t work. 

The reality is that most failures stem from basic implementations or schema deployed with errors.

Tags such as Organization or Breadcrumb are foundational, but they provide limited insight into a business. 

Used in isolation, they create disconnected data points rather than a cohesive story AI can interpret.

The content knowledge graph: Telling AI your story

The more AI knows about your business, the better it can cite it. 

A content knowledge graph is a structured map of entities and their relationships, providing reliable information about your business to AI systems.

Deep nested schema plays a central role in building this graph.

entity-lineage-for-deep-nested-schema

A deep nested schema architecture expresses the full entity lineage of a business in a machine-readable form.

In resource description framework (RDF) terms, AI systems need to understand that:

  • An organization creates a brand.
  • The brand manufactures a product.
  • The product belongs to a category.
  • Each category serves a specific purpose or use case.

By fully nesting entities – Organization → Brand → Product → Offer → PriceSpecification → Review → Person – you publish a closed-loop content knowledge graph that models your business with precision.

Dig deeper: 8 steps to a successful entity-first strategy for SEO and content

Get the newsletter search marketers rely on.

See terms.

The enterprise entity optimization playbook

In “How to deploy advanced schema at scale,” I outlined the full process for effective schema deployment – from developing an entity strategy through deployment, maintenance, and measurement.

Automating for operational excellence

At the enterprise level, facts change constantly, including product specifications, availability, categories, reviews, offers, and prices. 

If structured data, entity lineage, and topic clusters do not update dynamically to reflect these changes, AI systems begin to detect inconsistencies.

In an AI-driven ecosystem where accuracy, coherence, and consistency determine inclusion, even small discrepancies can erode trust.

Manual schema management is not sustainable.

The only scalable approach is automation – using a schema management solution aligned with your entity strategy and integrated into your discovery and marketing flywheel.

Measuring success: KPIs for the generative AI era

As keyword rankings lose relevance and traffic declines, you need new KPIs to evaluate performance in AI search.

  • Brand visibility: Is your brand appearing in AI search results?
  • Brand sentiment: When your brand is cited, is the sentiment positive, negative, or neutral?
  • LLM visibility: Beyond branded queries, how does your performance on non-branded terms compare with competitors?
  • Conversions: At the bottom of the funnel, are conversion metrics being tracked and optimized?

Dig deeper: 7 focus areas as AI transforms search and the customer journey in 2026

From reading to acting: Preparing for the agentic web

The web is shifting from a “read” model to an “act” model.

AI agents will increasingly execute tasks on behalf of users, such as booking appointments, reserving tables, or comparing specifications.

To be discovered by these agents, brands must make their capabilities machine-callable. Key steps to prepare include:

  • Create a schema layer: Define entity lineage and executable capabilities in a machine-readable format so agents can act on your behalf.
  • Use action vocabularies: Leverage Schema.org action vocabularies to provide semantic meaning and define agent capabilities, including:
    • ReserveAction.
    • BookAction.
    • CommunicateAction.
    • PotentialAction.
  • Establish guardrails: Declare engagement rules, required inputs, authentication, and success or failure semantics in a structured format that machines can interpret.

Brands that are callable are the ones that will be found. Acting early provides a compounding advantage by shaping the standards agents learn first.

The enterprise entity deployment checklist

Use this checklist to evaluate whether your entity strategy is operational, scalable, and aligned with AI discovery requirements.

  • Entity audit: Have you defined your core entities and validated the facts?
  • Deep nesting: Does your JSON-LD reflect your business ontology, or is it flat?
  • Authority linking: Are you using sameAs to connect entities to Wikidata and the Knowledge Graph?
  • Actionable schema: Have you implemented PotentialAction for the agentic web?
  • Automation: Do you have a system in place to prevent schema drift?
  • Single source of truth (SSOT): Is schema synchronized across your CMS, GBP, and internal systems?
  • Technical SEO: Are the technical foundations in place to support an effective entity strategy?
  • IndexNow: Are you enabling progressive and rapid indexing of fresh content?

Connected customer journeys and total cost of ownership

connected-customer-discovery-flywheel

Your martech stack must align with the evolving customer discovery journey. 

This requires a shift from treating schema as a point solution for visibility to managing a holistic presence with total cost of ownership in mind.

Data is the foundation of any composable architecture. 

A centralized data repository connects technologies, enables seamless flow, breaks down departmental silos, and optimizes cost of ownership.

This reduces redundancy and improves the consistency and accuracy AI systems expect.

When schema is treated as a point solution, content changes can break not only schema deployment but the entire entity lineage. 

Fixing individual tags does not restore performance. Instead, multiple teams – SEO, content, IT, and analytics – are pulled into investigations, increasing cost and inefficiency.

The solution is to integrate schema markup directly into brand and entity strategy.

When structured content changes, it should be:

  • Revalidated against the organization’s entity lineage.
  • Dynamically redeployed.
  • Pushed for progressive indexing through IndexNow.

This enables faster recovery and lower compute overhead.

Integrating schema into your entity lineage and discovery flywheel helps optimize total cost of ownership while maximizing efficiency.

A strategic blueprint for AI readiness

Several core requirements define AI readiness.

ai-ready-enterprise-strategy
  • Data: Centralized, unified, consistent, and reliable data aligned to customer intent is the foundation of any AI strategy.
  • Connected journeys and composable architecture: When data is unified and structured with schema, customer journeys can be connected across channels. A composable martech stack enables consistent, personalized experiences at every touchpoint.
  • Structured content: Define organizational entity lineage and create a semantic layer that makes content machine- and agent-ready.
  • Distribution: Break down silos and move from channel-specific tactics to an omnichannel strategy, supported by a centralized data source and progressive crawling of fresh content.

Together, these efforts make your omnichannel strategy more durable while reducing total cost of ownership across the technology stack.

Thanks to Bill Hunt and Tushar Prabhu for their contributions to this article.

Read more at Read More

When Google’s AI bidding breaks – and how to take control

/0 Comments/in , /by
When Google’s AI bidding breaks – and how to take control

Google’s pitch for AI-powered bidding is seductive.

Feed the algorithm your conversion data, set a target, and let it optimize your campaigns while you focus on strategy. 

Machine learning will handle the rest.

What Google doesn’t emphasize is that its algorithms optimize for Google’s goals, not necessarily yours. 

In 2026, as Smart Bidding becomes more opaque and Performance Max absorbs more campaign types, knowing when to guide the algorithm – and when to override it – has become a defining skill that separates average PPC managers from exceptional ones.

AI bidding can deliver spectacular results, but it can also quietly destroy profitable campaigns by chasing volume at the expense of efficiency. 

The difference is not the technology. It is knowing when the algorithm needs direction, tighter constraints, or a full override.

This article explains:

  • How AI bidding actually works.
  • The warning signs that it is failing.
  • The strategic intervention points where human judgment still outperforms machine learning.

How AI bidding actually works – and what Google doesn’t tell you

Smart Bidding comes in several strategies, including:

Each uses machine learning to predict the likelihood of a conversion and adjust bids in real time based on contextual signals.

The algorithm analyzes hundreds of signals at auction time, such as:

  • Device type.
  • Location.
  • Time of day.
  • Browser.
  • Operating system.
  • Audience membership.
  • Remarketing lists.
  • Past site interactions.
  • Search query.

It compares these signals with historical conversion data to calculate an optimal bid for each auction.

During the “learning period,” typically seven to 14 days, the algorithm explores the bid landscape, testing bid levels to understand the conversion probability curve. 

Google recommends patience during this phase, and in general, that advice holds. The algorithm needs data.

The first problem is that learning periods are not always temporary. 

Some campaigns get stuck in perpetual learning and never achieve stable performance.

Dig deeper: When to trust Google Ads AI and when you shouldn’t

Google’s optimization goals vs. your business goals

The algorithm optimizes for metrics that drive Google’s revenue, not necessarily your profitability.

When a Target ROAS of 400% is set, the algorithm interprets that as “maximize total conversion value while maintaining a 400% average ROAS.” 

Notice the word “maximize.”

The system is designed to spend the full budget and, ideally, encourage increases over time. 

More spend means more revenue for Google.

Business goals are often different. 

You may want a 400% ROAS with a specific volume threshold. 

You may need to maintain margin requirements that vary by product line. 

Or you may prefer a 500% ROAS at lower volume because fulfillment capacity is constrained.

The algorithm does not understand this context. 

It sees a ROAS target and optimizes accordingly, often pushing volume at the expense of efficiency once the target is reached.

This pattern is common. An algorithm increases spend by 40% to deliver 15% more conversions at the target ROAS. Technically, it succeeds. 

In practice, cash flow cannot support the higher ad spend, even at the same efficiency. 

The algorithm does not account for working capital constraints.

Key signals the algorithm can’t understand

AI bidding works well, but it has limits. 

Without intervention, several factors can’t be fully accounted for.

Seasonal patterns not yet reflected in historical data

Launch a campaign in October, and the algorithm has no visibility into a December peak season.

It optimizes based on October performance until December data proves otherwise, often missing early seasonal demand.

Product margin differences

A $100 sale of Product A with a 60% margin and a $100 sale of Product B with a 15% margin look identical to the algorithm. 

Both register as $100 conversions. The business impact, however, is very different. 

This is where profit tracking, profit bidding, and margin-based segmentation matter.

Customer lifetime value variations

Unless lifetime value modeling is explicitly built into conversion values, the algorithm treats a first-time customer the same as a repeat buyer. 

In most accounts, that modeling does not exist.

Market and competitive changes

When a competitor launches an aggressive promotion or a new entrant appears, the algorithm continues bidding based on historical conditions until performance degrades enough to force adjustment. 

Market share is often lost during that lag.

Inventory and supply chain constraints

If a best-selling product is out of stock for two weeks, the algorithm may continue bidding aggressively on related searches because of past performance. 

The result is paid traffic that cannot convert.

This is not a criticism of the technology. It’s a reminder that the algorithm optimizes only within the data and parameters provided. 

When those inputs fail to reflect business reality, optimization may be mathematically correct but strategically wrong.

Warning signs your AI bidding strategy is failing

The perpetual learning phase

Learning periods are normal. Extended learning periods are red flags.

If your campaign shows a “Learning” status for more than two weeks, something is broken. 

Common causes include:

  • Insufficient conversion volume – the algorithm typically needs at least 30 to 50 conversions per month.
  • Frequent changes that reset the learning period.
  • Unstable performance with wide day-to-day fluctuations.

When to intervene

If learning extends beyond three weeks, either:

  • Increase the budget to accelerate data collection.
  • Loosen the target to allow more conversions.
  • Or switch to a less aggressive bid strategy like Enhanced CPC. 

Sometimes the algorithm is simply telling you it does not have enough data to succeed.

Budget pacing issues

Healthy AI bidding campaigns show relatively smooth budget pacing. 

Daily spend fluctuates, but it stays within reasonable bounds. 

Problematic patterns include:

  • Front-loaded spending – 80% of the daily budget gone by 10 a.m.
  • Consistent underspending, such as averaging 60% of budget per day.
  • Volatile day-to-day swings, like spending $800 one day, $200 the next, then $650 after that.

Budget pacing is a proxy for algorithm confidence. 

Smooth pacing suggests the system understands your conversion landscape. 

Erratic pacing usually means it is guessing.

The efficiency cliff

This is the most dangerous pattern. Performance starts strong, then gradually or suddenly deteriorates.

This shows up often in Target ROAS campaigns. 

  • Month 1: 450% ROAS, excellent. 
  • Month 2: 420%, still good. 
  • Month 3: 380%, concerning. 
  • Month 4: 310%, alarm bells.

What happened? 

The algorithm exhausted the most efficient audience segments and search terms. 

To keep growing volume – because it is designed to maximize – it expanded into less qualified traffic. 

Broad match reached further. Audiences widened. Bid efficiency declined.

Traffic quality deterioration

Sometimes the numbers look fine, but qualitative signals tell a different story. 

  • Engagement declines – bounce rate rises, time on site falls, pages per session drop. 
  • Geographic shifts appear as the algorithm drives traffic from lower-value regions. 
  • Device mix changes, often skewing toward mobile because CPCs are cheaper, even when desktop converts better. 
  • Time-of-day misalignment can also emerge, with traffic arriving when sales teams are unavailable.

These quality signals do not directly influence optimization because they are not part of the conversion data. 

To address them, the algorithm needs constraints: bid adjustments, audience exclusions, or ad scheduling.

The search terms report reveals the truth

The search terms report is the truth serum for AI bidding performance. 

Export it regularly and look for:

  • Low-intent queries receiving aggressive bids.
  • Informational searches mixed with transactional ones.
  • Irrelevant expansions where the algorithm chased conversions into entirely different intent.

A high-end furniture retailer should not spend $8 per click on “free furniture donation pickup.” 

A B2B software company targeting “project management software” should not appear for “project manager jobs.” 

These situations occur when the algorithm operates without constraints. 

Keyword matching is also looser than it was in the past, which means even small gaps can allow the system to bid on queries you never intended to target.

Dig deeper: How to tell if Google Ads automation helps or hurts your campaigns

Get the newsletter search marketers rely on.

See terms.

Strategic intervention points: When and how to take control

Segmentation for better control

One-size-fits-all AI bidding breaks down when a business has diverse economics. 

The solution is segmentation, so each algorithm optimizes toward a clear, coherent goal.

Separate high-margin products – 40%+ margin – into one campaign with more aggressive ROAS targets, and low-margin products – 10% to 15% margin – into another with more conservative targets. 

If the Northeast region delivers 450% ROAS while the Southeast delivers 250%, separate them. 

Brand campaigns operate under fundamentally different economics than nonbrand campaigns, so optimizing both with the same algorithm and target rarely makes sense.

Segmentation gives each algorithm a clear mission. Better focus leads to better results.

Bid strategy layering

Pure automation is not always the answer. 

In many cases, hybrid approaches deliver better results.

  • Run Target ROAS at 400% under normal conditions, then manually lower it to 300% during peak season to capture more volume when demand is high. 
  • Use Maximize Conversion Value with a bid cap if unit economics cannot support bids above $12. 
  • Group related campaigns under a portfolio Target ROAS strategy so the algorithm can optimize across them. 
  • For campaigns with limited conversion data or volatile performance, Enhanced CPC offers algorithmic assistance without full black box automation.

The hybrid approach

The most effective setups combine AI bidding with manual control campaigns.

Allocate 70% of the budget to AI bidding campaigns, such as Target ROAS or Maximize Conversion Value, and 30% to Enhanced CPC or manual CPC campaigns. 

Manual campaigns act as a baseline. If AI underperforms manual by more than 20% after 90 days, the algorithm is not working for the business.

Use tightly controlled manual campaigns to capture the most valuable traffic – brand terms and high-intent keywords – while AI campaigns handle broader prospecting and discovery. 

This approach protects the core business while still exploring growth opportunities.

COGS and cart data reporting (plus profit optimization beta)

Google now allows advertisers to report cost of goods sold, or COGS, and detailed cart data alongside conversions. 

This is not about bidding yet, but seeing true profitability inside Google Ads reporting.

Most accounts optimize for revenue, or ROAS, not profit. 

A $100 sale with $80 in COGS is very different from a $100 sale with $20 in COGS, but standard reporting treats them the same. 

With COGS reporting in place, actual profit becomes visible, dramatically improving the quality of performance analysis.

To set it up, conversions must include cart-level parameters added to existing tracking. 

These typically include item ID, item name, quantity, price, and, critically, the cost_of_goods_sold parameter for each product.

Google is testing a bid strategy that optimizes for profit instead of revenue. 

Access is limited, but advertisers with clean COGS data flowing into Google Ads can request entry. 

In this model, bids are optimized around actual profit margins rather than raw conversion value. 

This is especially powerful for retailers with wide margin variation across products.

For advertisers without access to the beta, a custom margin-tracking pixel can be implemented manually. It is more technical to set up, but it achieves the same outcome.

Dig deeper: Margin-based tracking: 3 advanced strategies for Google Shopping profitability

When AI bidding actually works

AI bidding works best when the fundamentals are in place: 

  • Sufficient conversion volume.
  • A stable business model with consistent margins and predictable seasonality.
  • Clean conversion tracking.
  • Enough historical data to support learning.

In these conditions, AI bidding often outperforms manual management by processing more signals and making more granular optimizations than humans can execute at scale.

This tends to be true in:

  • Mature ecommerce accounts.
  • Lead generation programs with consistent lead values.
  • SaaS models with predictable trial-to-paid conversion paths.

When those conditions hold, the role shifts.

Bid management gives way to strategic oversight – monitoring trends, identifying expansion opportunities, and testing new structures.

The algorithm then handles tactical optimization.

Preparing for AI-first advertising

Google is steadily reducing advertiser control under the banner of automation. 

  • Performance Max has absorbed Smart Shopping and Local campaigns. 
  • Asset groups replace ad groups. 
  • Broad match becomes mandatory in more contexts. 
  • Negative keywords increasingly function as suggestions the system may or may not honor.

For advertisers with complex business models or specific strategic goals, this loss of granularity creates tension. 

You are often asked to trust the algorithm even when business context suggests a different decision.

That shift changes the role. You are no longer a bid manager. 

You are an AI strategy director who:

  • Defines objectives.
  • Provides business context.
  • Sets constraints.
  • Monitors outcomes.
  • Intervenes when the system drifts away from strategic intent.

No matter how advanced AI bidding becomes, certain decisions still require human judgment. 

Strategic positioning – which markets to enter and which product lines to emphasize – cannot be automated. 

Neither can creative testing, competitive intelligence, or operational realities like inventory constraints, margin requirements, and broader business priorities.

This is not a story of humans versus AI. It is humans directing AI.

Dig deeper: 4 times PPC automation still needs a human touch

Master the algorithm, don’t serve it

AI-powered bidding is the most powerful optimization tool paid media has ever had. 

When conditions are right – sufficient data, a stable business model, and clean tracking – it delivers results manual management cannot match.

But it is not magic.

The algorithm optimizes for mathematical targets within the data you provide. 

If business context is missing from that data, optimization can be technically correct and strategically wrong. 

If markets change faster than the system adapts, performance erodes. 

If your goals diverge from Google’s revenue incentives, the algorithm will pull in directions that do not serve the business.

The job in 2026 is not to blindly trust automation or stubbornly resist it. 

It is to master the algorithm – knowing when to let it run, when to guide it with constraints, and when to override it entirely.

The strongest PPC leaders are AI directors. They do not manage bids. They manage the system that manages bids.

Read more at Read More

The Marketer’s Guide to Reddit

/0 Comments/in /by

Reddit is an online forum that’s part search engine, part social network. 

Millions of people use it to swap advice, review products, and argue about virtually every topic under the sun. It all happens inside niche communities called subreddits. 

All this makes it a powerful place for Reddit marketing. As long as you know how to play by its rules, that is. 

The No. 1 rule? You can’t treat Reddit like another broadcast channel. Users hate obvious self-promotion and call out spam instantly. They reward brands that show up to add value, so just popping in and dropping links won’t cut it.

The upside? If you’re useful and authentic, the reward is real trust and traffic you won’t get anywhere else.

In this guide, we’ll walk you through how to market on Reddit the right way, including both organic and paid strategies. We’ll also toss in some tips on etiquette to keep you from getting buried (or banned).

Key Takeaways

  • Reddit is a network of niche communities. Winning here means respecting each sub’s rules and culture.
  • Organic comes first. Use a Crawl-Walk-Run approach in your Reddit marketing strategy: Listen and comment, then start useful threads, then scale into branded subs, SEO plays, and selective paid campaigns.
  • Self-promotion is allowed but heavily policed. Contribute more than you pitch and follow Reddiquette and subreddit rules to avoid bans and backlash.
  • Reddit ads run on an auction model and work best when they feel native to the feed. 
  • Reddit threads influence Google results, “Discussions and forums” boxes, and even AI answers.

Why Is Reddit Important as a Marketing Platform?

Reddit is massive and growing fast. Recent estimates put it at around 100 million daily active users and hundreds of millions of monthly users, spread across more than 100,000 active subreddits. 

It’s basically a giant ecosystem of niche communities where people compare products, troubleshoot problems, and share unfiltered opinions.

What makes Reddit especially relevant today is how often its content shows up outside Reddit. Google’s “Discussions and forums” search feature appears on millions of queries and is heavily dominated by Reddit threads, especially for product reviews and how-to topics. 

Check out the “Discussions and forums” results for “best VPN for travel.” Reddit grabs the top spot above Facebook groups, which tells you two things: Google trusts Reddit threads for experience-based queries, and real travelers would rather hear from other travelers than from brand pages. 

Google search results page for ‘best VPN for travel’ showing a ‘Discussions and forums’ box, with a Reddit thread from r/TravelHacks at the top and two Facebook discussions listed below. 

When someone searches “running shoes for bad knees,” for example, a Reddit discussion appears on page one.

Google search results page for ‘running shoes for bad knees’ showing an AI Overview at the top, followed by blog results and a highlighted Reddit thread from r/running about good running shoes for ankle and knee pain appearing on page one.

“Google, specifically, is prioritizing the platform because it highlights true first-hand experiences,” says Becky McManus, senior SEO strategist at NP Digital. 

Reddit’s also a growing force in AI search. It has data-licensing deals with Google and OpenAI, which use Reddit posts to train and power their large language models. In some analyses, Reddit is one of the most commonly cited domains in AI-generated answers. 

So, when you show up on Reddit, you’re not just reaching users on one platform. You’re influencing search results, AI-generated summaries, and the conversations that shape buyer decisions.

Fundamentals to Know About Reddit

Maybe the most fundamental thing to know about Reddit is that it isn’t one big audience. It’s a web of niche communities (subreddits). Each has its own rules and culture. And not all of them have a high tolerance for brands. 

“Reddit is a different kind of digital marketing space,” McManus says. “It’s all about being real and adding value to the conversation, not just pushing promotions, which you can do more of on standard social media platforms.”

That’s what makes Reddit marketing powerful. It’s also what makes it easy to screw up.

Start with the basics by reading Reddit’s page about self-promotion and what’s allowed and what isn’t. Once you’ve read that, look at the “Reddiquette” page so you can see Reddit’s main rules. 

The list includes:

  • Contributing more than you promote and avoiding spammy, link-only posts
  • Being transparent about who you are and any affiliations you have
  • Speaking to other users respectfully, even when you disagree
  • Following each subreddit’s specific rules instead of assuming they’re all the same

Next, zoom in on each subreddit. 

Read the sidebar and pinned posts. Some communities allow links only on certain days. Others ban surveys, coupon codes, or branded content of any kind. Moderators (mods) enforce those rules, and they won’t hesitate to remove posts or ban accounts.

Take a look at how the r/digitalmarketing subreddit clearly spells out its rules.

r/digitalmarketing subreddit sidebar showing a description that bans promotional posts and a rules list highlighting ‘No posting of services,’ ‘No posting of seminars,’ ‘No self-promotion,’ and ‘No Surveys/Feedback/Reviews.

Your job is to show up as a helpful user first and a marketer second. Answer questions, share experiences, post useful resources, and only occasionally mention your product when it genuinely fits the thread. 

If you’re unsure whether something crosses the line, message the mods and ask.

Organic Reddit Strategies

Organic participation is the name of the game with Reddit marketing. 

Ads can help, but many brands win by showing up as real users first. That means answering questions and sharing useful resources, which helps build karma over time. 

Done right, this also feeds into your Reddit SEO strategy before you ever touch paid campaigns.

Use a Business Account

If you’re going to do anything promotional on Reddit, start with a branded account. Redditors care a lot about transparency, and a handle that clearly represents your company or team builds more trust than a random personal username that secretly belongs to “Marketing.”

Create an account that signals who you are (for example, BrandName_Official or FirstNameAtBrand). Add a short bio that explains your role and what people can expect from you, such as support or product questions.

Here’s an example profile from Cleveland.com, whose parent company, Advance Local, has had success with organic Reddit marketing strategies.

Reddit profile for cleveland.com showing branded news posts shared into local subreddits like r/Browns and r/Ohio, along with a sidebar that labels it as the official account and lists its karma, contributions, account age, and social links.

From there, resist the urge to start dropping links. Instead, comment, answer questions, and join existing threads. That way, your profile doesn’t look like it was created only to push content. If teammates also use personal accounts, have them be open about their affiliation when it’s relevant.

An honest business presence boosts the credibility of every future promo. It also looks less like spam.

Provide Value to Communities

Reddit rewards accounts that make threads better. If your first instinct is “Where can I post my link?”, you’re already in trouble. 

Focus on being useful long before you mention your brand.

Look for questions you can answer in detail. Share things like: 

  • How-tos
  • Real examples
  • What actually worked for you, even when the answer doesn’t involve your product. 
  • Summarize complex topics in plain language. 
  • Drop frameworks, checklists, or quick diagnostics people can try on their own.

You can also add value by recapping good resources, explaining trade-offs between options, or sharing honest pros and cons from your experience. Link sparingly and only when it clearly adds context.

Over time, that kind of participation builds karma, name recognition, and trust. Then, when you occasionally share something from your own site, it feels like a contribution, not an intrusion.

Ask Me Anything (AMA)

AMAs can be useful, even if you’re not a household name. The key is to find a clear, interesting angle that fits the subreddit.

Instead of “I’m a founder; ask me anything,” pitch something specific to the mods first:

  • “I run growth for a bootstrapped SaaS that just hit $1M ARR. Ask me anything about what actually moved the needle.”
  • “I’ve moderated a 200K-member fitness community for five years. Ask me anything about what keeps people engaged.”

For example, this AMA works because it leads with a high-stakes, personal hook: someone risking their life savings on a mobile game. People want to hear the story and ask what happened next.

Reddit post titled ‘I spent my life savings to build a mobile game, AMA,’ where a solo founder explains quitting his job and using his savings to create a fantasy football strategy app.

Most subreddits require proof and mod approval, so follow their instructions closely. During the AMA, focus on being candid and helpful. Share stories, mistakes, and lessons. Avoid turning every answer into a soft pitch.

If people like you, they’ll click through to your profile and brand on their own. The AMA’s job is to build credibility, not to read like a live ad.

Start a Subreddit

Starting your own subreddit is more of a “phase two or three” move than a starting point. If you don’t already have people talking about you on Reddit, a brand-new sub will sit empty and make you look inactive.

Once there’s clear interest—mentions in other subs, recurring questions, or an existing community elsewhere—you can launch a subreddit as a hub. Think of it as a place for support, feature requests, user wins, and deeper discussions around your niche, not just announcements.

Set clear rules, pin a simple “Start here” post, and seed the sub with genuinely useful threads: FAQs, guides, templates, product walkthroughs, or office-hours posts. Commit to moderating and replying.

When you promote the subreddit, invite people in for the value (“Come ask questions and see real use cases”), not just to “follow” your brand.

Reddit Paid Advertising

Organic participation is the foundation of your Reddit marketing efforts, but paid ads are how you scale once you know what resonates.

Reddit now reaches a massive, mostly younger audience across thousands of active communities, and a lot of those users are actively researching products (not just scrolling).

The big advantage for marketers is context. 

You can target by subreddit, interest, keyword, location, and device, so your ads show up inside conversations that already match your offer. Formats range from promoted posts and video ads to conversation placements and takeovers, with newer options like dynamic product ads for e-commerce.

If your creative matches the culture of the communities you’re in, Reddit ads can drive serious awareness and consideration.

Reddit Advertising Policies

Reddit’s ad policies are strict because ads sit right next to user posts. If your campaigns feel spammy or misleading, you’d better believe they’ll get rejected fast. Even when they’re approved, users will downvote them into oblivion.

Creative and Video Quality

Ads should look and sound professional. Make sure your audio and visuals are clear and text is readable. 

Also be sure your video is relevant to the audience you’re targeting and correctly labeled if it includes mature themes. Anything graphic or heavily profane needs the proper rating and warnings, and strobing or flashing effects are off limits.

Style and Copy Standards

Reddit expects clean, honest copy. So, check your spelling and grammar, keep emojis and symbols to a minimum, avoid shouty all-caps, and don’t stuff personal data into your ad unless regulations require it. And be sure that your images are high quality and match what you’re promoting.

Accuracy and Transparency

Your ad has to reflect the real product or service. That means no clickbait headlines or no bait-and-switch offers. And don’t promote specific Reddit comments or posts unless you’re using approved formats.

URLs and Landing Pages

Your landing page should clearly feature the product you advertised. You’ll also want it to load reliably and stick to Reddit’s content rules. Keep the language consistent with your ad and avoid aggressive pop-ups or spammy tactics.

When in doubt, review Reddit’s full advertising policy before you launch. It’s easier to fix issues in draft than after a denial.

What Are the Different Types of Reddit Ads?

Reddit’s ad formats are designed to feel like part of the feed, not banner clutter. Here’s how the main options break down in Reddit’s own language:

  • Free-form ads: Reddit-native units that can mix text, images, video, and GIFs in one post. Great for storytelling or more complex messages.
  • Image ads: Single-image promoted posts that look like standard Reddit posts with a “Promoted” label. Solid for simple offers and clear CTAs.
  • Video ads: Autoplay video in the feed, built to grab attention and work across awareness, consideration, and conversion.
  • Carousel ads: Swipeable units that showcase multiple images or videos in one ad—perfect for product lines, before/after stories, or feature highlights.
  • Conversation ads: Let you join or spark discussions directly in conversation spaces, so your brand shows up where people are already talking.
  • Product ads: Shopping-focused units that pull from your product catalog and recommend items to redditors who are ready to buy.
  • AMA ads: Sponsored “ask me anything” experiences that put a subject-matter expert or brand rep at the center of a Q&A thread.
(L) A video ad from u/EpicEntertainment announcing a spooky fall TV lineup; (C) an image ad from u/innisfree_usa highlighting a pore-clearing volcanic clay mask; (R) a video ad from u/Canva_Official promoting Canva’s Brand Kit for fast, on-brand design.
(L) A video ad from u/EpicEntertainment announcing a spooky fall TV lineup; (C) an image ad from u/innisfree_usa highlighting a pore-clearing volcanic clay mask; (R) a video ad from u/Canva_Official promoting Canva’s Brand Kit for fast, on-brand design.
(L) A video ad from u/EpicEntertainment announcing a spooky fall TV lineup; (C) an image ad from u/innisfree_usa highlighting a pore-clearing volcanic clay mask; (R) a video ad from u/Canva_Official promoting Canva’s Brand Kit for fast, on-brand design.

Most of these are available in the self-serve ads manager, so you can test formats quickly and double down on what your audience actually engages with.

Examples of Great Reddit Ads

Before diving and creating your own Reddit ad, let’s look at a few examples.

ChatGPT

Reddit promoted post from the official u/OpenAI account with the headline ‘Transform your words into works of art with ChatGPT. Try ChatGPT Today,’ featuring a mock ChatGPT interface that shows a generated image of a golden retriever dressed in an ornate 18th-century royal gown.

This ad works because it feels like a Reddit post, not a banner. The headline clearly promises the benefit (“transform your words into works of art”), and the creative shows the product in action—a funny, hyper-specific dog portrait that fits Reddit’s meme-y culture. 

The user interface screenshot makes it obvious how ChatGPT is used, so there’s no learning curve. The copy is light, the visual does the selling, and the single “Sign Up” call to action (CTA) keeps the next step simple. 

All in all, it’s fun, clear, and native to the feed.

The Coupon Nerd

Promoted Reddit post from u/thecouponnerd titled ‘I'm a massive savings nerd. Here are the stupidest money mistakes I see people make,’ followed by a numbered list starting with advice on overpaying for car insurance.

This ad works because it leans into Reddit’s strengths: story and specificity. 

The headline (“I’m a massive savings nerd… stupidest money mistakes…”) sounds like a real thread you’d click, not brand copy. The post leads with concrete value—numbers, personal savings, and clear next steps—before it ever feels promotional. 

It’s written in plain language, framed as advice from a fellow user, and backed by strong engagement (upvotes, comments), which signals social proof right in the feed.

How to Build Your Reddit Marketing Campaigns

Reddit doesn’t reward brands that rush in with a big ad budget. It rewards the ones that show up and learn the culture first.

That’s why it helps to think about Reddit marketing in stages instead of “launching a campaign” overnight. 

Start with low-risk actions that teach you how each community works. Then layer on more visible content and light promotion. Once you know what lands, you can treat Reddit like a full channel. 

In the sections below, we’ll walk through a practical Crawl → Walk → Run model you can use to move from basic participation to a scalable Reddit program that drives traffic and revenue (and not just karma).

Crawl

In the Crawl stage, your main job is to learn the ropes of Reddit and show up like a real user. You’ve set up a branded account, know the Reddiquette, and have your eyes on the subreddits where your audience already hangs out.

From here, keep it simple:

  • Read top and “hot” posts to get a feel for tone and what flies.
  • Comment on existing threads where you have real experience to share.
  • Answer questions in detail without instantly pushing your product.

Use Reddit search and “site:reddit.com” Google searches around your main topics to find the discussions that matter most to your buyers. 

This screenshot shows the Crawl stage in action using a site search to see which subreddits and threads already rank for “gravel bikes.” It includes threads on clarifying the definition of a gravel bike and calls for product recommendations.

Google search results page for ‘site:reddit.com gravel bikes,’ showing multiple r/gravelcycling threads ranking.

As you explore, pay attention to the phrases people use and the problems they describe. Also take note of the kind of answers they upvote.

Crawl is about listening and learning. You’re gathering intel on which communities are worth investing in. That way, you don’t sound like a marketer who just discovered Reddit yesterday.

Walk

In the Walk phase, you’re moving beyond “lurking” and turning your Reddit presence into a repeatable habit. Now, you’re showing up in a handful of high-value subreddits on purpose. You’re not just scrolling anymore.

Start by narrowing your focus. Pick three to five communities where your audience already hangs out and where you can add real expertise. Look for threads that match your core topics and keywords. 

Your job at this stage is to:

  • Comment thoughtfully on existing threads, especially questions you can answer from experience.
  • Share occasional links to genuinely useful resources (yours or others), but always wrapped in context.
  • Track what gets upvotes, saves, and replies so you can see which angles resonate.

Think of Walk as your calibration stage. You’re learning the language and formats that work in each subreddit. You’re also starting to spot patterns you can later turn into content pillars, SEO topics, and even product ideas.

You’re not trying to dominate Reddit yet. You’re trying to become a familiar, helpful name in the spaces that matter.

“It’s all about trust,” says Becky McManus, the senior SEO strategist at NP Digital.

“Teams should expect to earn trust gradually by engaging authentically and consistently within the communities that genuinely care about what they offer.”

Run

Run is where Reddit becomes a proper channel, not just a side experiment.

By this point, you know:

  • Which subreddits respond best.
  • Which topics reliably spark quality discussion.
  • Which profiles (brand and team) have real credibility.

Now you can scale intentionally. This may include launching and actively moderating a branded subreddit as a hub for FAQs, feedback, updates, and success stories. You might also keep a presence in adjacent communities and jump into high-impact threads quickly. 

From there, you can coordinate with your SEO and content teams to help keep responses and resources consistent.

Reddit becomes:

  • A content engine: Your best threads turn into blog posts, landing pages, videos, and email content.
  • An SEO asset: More of your conversations show up in SERPs and “Discussions and forums” modules.
  • A live focus group: You see unfiltered reactions to ideas, messaging, and features in real time.

At this stage, you can also layer in paid campaigns, but be sure to promote angles you already know resonate organically. That way, you’re not just guessing with ad dollars. 

What Reddit Marketing Success Looks Like

A good example of Reddit done right is NP Digital’s work with TurboTax. 

From January to April 2025, TurboTax-branded profiles joined relevant tax and personal finance threads, adding 159 thoughtful comments and starting targeted conversations during filing season. 

The impact showed up well beyond Reddit. Several of those threads were pulled into Google’s “What people are saying” for searches like “quarterly tax deadlines” and “turbotax early refund,” and one comment was cited in AI-generated Reddit answers within days. 

Brand mentions hit 5,404 (up 10 percent year over year), and positive mentions nudged up even in the middle of tough conversations about pricing and early refunds. 

We also paired that Reddit work with SEO. A refreshed “Ways to File for Free” guide captured the featured snippet for “is turbotax free,” helping outrank older negative Reddit threads and giving TurboTax more control over how the brand shows up in search. 

FAQs

How do you do marketing on Reddit?

Act like a helpful user, not a billboard: join relevant subreddits, add value in threads, then layer in carefully targeted information that can be tied back to your brand.

Can you self-promote on Reddit?

Yes, but only within strict limits. Reddit and most subreddits take a hard line on spammy self-promotion. If most of your activity is just dropping your own links, you’ll get downvoted or banned. Read Reddit’s self-promotion and Reddiquette guidelines and participate in conversations, but make sure any link you share is genuinely helpful and clearly relevant to the thread.

How do I create a Reddit marketing strategy?

Start with your goal (awareness, traffic, leads, or support), then map the subreddits your audience already uses. Create a branded account, learn each community’s rules, and spend time commenting before you post anything promotional. From there, plan a mix of organic participation (answers, explainers, AMAs, resource threads) and small paid tests once you know what resonates. 

How do I market on Reddit without getting banned?

Read the FAQs, Reddiquette, and each subreddit’s rules before you start posting anything. And be sure to contribute more than you promote: answer questions, share experiences, and only link to your own content when it clearly adds value. 

How much do Reddit ads cost?

Reddit ads run on an auction model, so prices vary widely. It sets its rates at $5 a day minimum, and costs vary from $1.50 to $10 per 1,000 impressions (or more for premium placements).

Conclusion

Reddit is a unique platform with millions of active users. It might seem like the ideal place to promote your business, but you could get banned (or ridiculed) if you aren’t careful. 

Although Reddit is tougher on self-promotion on other platforms, that doesn’t mean marketers should steer clear of it altogether. Provided you stick to the rules and don’t stray into spamming or being “salesy,” you have the opportunity to grow a keen, engaged following. 

Reddit can become one of your most valuable channels if you do it right. You can build trust inside niche communities, earn traffic from threads that rank in search, and even shape how your brand shows up in AI summaries.

With thousands of subreddits, there’s almost always a corner of Reddit where your audience is already talking. Show up to listen and answer questions as you learn the ropes. 

Promotion comes later, after you’ve proven you’re there to add value, not just to cash in.

Read more at Read More

FAQ Schema: A Beginner’s Guide

/0 Comments/in /by

New technologies like AI have drastically changed search engine architecture. Gaining visibility online requires more advanced tactics than traditional SEO. One of these secret weapons to give your pages more real estate in search results is called FAQ schema.

It’s simple to implement using basic structured data (if you’re new to that, here’s a primer on schema). But here’s the real kicker: Google’s AI Overviews and other AI-driven platforms are now pulling content directly from FAQ schema.

In the past, marketers have implemented FAQ schema to gain visibility in Google features, such as featured snippets and Answer Cards. Other features are more prevalent now, but FAQ schema is still an important part of modern search.

Today, using FAQ to structure your data can help you appear in AI-driven results. If your content is optimized, that gives your content the best shot of being read and cited by LLMs, not just by the regular search engines.

Most site owners still aren’t taking full advantage of this. So if you jump in now, you’re ahead of the curve.

This guide will walk you through setup, placement, and results.

Key Takeaways

  • FAQ schema increases your visibility in Google by making your content more visible to Google features like People Also Ask, as well as the LLMs that power AI search results—even if your ranking doesn’t change.
  • Use schema on FAQ hubs, knowledge bases, and any other priority content. Structuring this data can help answer common questions and reduce friction.
  • Google’s AI Overviews and other LLM-driven features are now pulling answers directly from FAQ schema, making it critical for future visibility.
  • JSON-LD is the recommended format, and you can implement it in under 30 minutes using simple tools or plugins.
  • Schema works best when your questions are specific, helpful, and tied to real customer concerns.

What is FAQ Schema?

FAQ schema is a type of structured data you add to your page’s html code to help search engines understand your frequently asked questions and display them directly in results.

It’s based on Schema.org markup, which Google and other search engines use to parse and categorize content. When implemented correctly, FAQ schema turns your standard list of questions and answers into rich results. 

That added visibility means users can find the info they need faster, making your website stand out from the rest. You might not jump in rankings, but you’ll earn higher visibility just by taking up more space.

Today, that structured content can also be pulled into generative AI responses like Google’s AI Overviews, which are becoming more prominent in search. That gives you another opportunity to show up, even if you’re not ranking #1.

You don’t need to be a developer to use schema, either. Tools and plugins can handle the heavy lifting, and you can gain a solid understanding of how schema works behind the scenes just by reading this breakdown of structured data.

How the SERP Page Has Evolved for FAQs

Before I dive into FAQ schema in more detail, I want to discuss Google’s ever-changing search results.

Not only does Google change its algorithm regularly, but it also often tests new design elements.

For example, if you search for “food near me”, you see a list of local restaurants along with their ratings.

A search for food near me in Google.

When you search for a person, Google may display a picture of that person along with a brief overview.

Google's knowledge panel for Elon Musk.

Over the years, Google has refined its search results to provide you with the best experience.

For example, if you search for “2+2,” Google shows you “4,” so you don’t have to click through and visit a webpage.

Google's result for 2+2.

However, FAQ schema markup may be flying under the radar, by comparison.

Here’s what I mean: if you search “digital marketing,” you see a bank of questions in the People Also Ask section:

People also ask answers for digital marketing.

This snippet holds some of the most coveted real estate on Google’s SERPs. It’s the third thing you see below sponsored results and images for our “digital marketing” search. 

Getting included in a Google feature like this requires structured data. That’s why FAQ schema is such a powerful optimization.

To take things further, mastering markup and data structuring can also position your pages to appear in Google’s AI Overviews. The large language models (LLMs) that power your favorite AI assistant need a way to process the information on the internet. They rely on schema and data structure to understand what they’re reading. Here’s an example:

AI overview results from Google using FAQ schema.

Source: https://searchengineland.com/schema-ai-overviews-structured-data-visibility-462353

So, where should you begin with FAQ schema and data structuring? Keep reading while I talk you through it.

Picking The Right FAQ Schema Markup: QA vs. FAQ Schema

Before you introduce schema to your site, you have a markup decision to make. There are different types of markup, but one of the most popular is FAQ schema. 

This kind of FAQ schema markup tells search engines your website is a Frequently Asked Questions (FAQ) page. If you have a FAQ page on your website, using the FAQ schema can help you improve your ranking in the SERPs. 

As an example of what FAQs can do, in some cases, you can get a collapsible menu under your SERP results that reveals the answer when a user clicks on it:

FAQ results populating a Google result.

Source: https://www.stylefactoryproductions.com/blog/how-to-add-faq-schema-to-a-website

If you use Google’s voice search, structured data can help you rank here. And, with Google’s current layout, you actually get double the payoff. The AI overview will pull from your structured data, and you’ll also appear as a source tile, directly to the right of it: 

AI overviews pulling results from structured data.

In contrast, you use a Q&A schema where users contribute different types of answers and vote for the best one. This provides rich result cards under your SERP, showing all the answers with the top answer highlighted.

After Google’s implementation of its FAQ schema rich results, website owners could have two URLs showing in search. Typically, they look like this:

FAQ results showing in search.

Now you understand the purposes of these different schemas, let’s move on to Google’s guidelines on using FAQ schema. 

Google’s FAQ Schema Markup Guidelines

As detailed below, Google has a comprehensive list of FAQ schema guidelines:

  • Use FAQPage only if your page contains a list of questions and answers. Use QAPage instead if you have a single question, and users can submit alternative answers. Here are some examples:

Valid use cases:

  • The health site created an FAQ page without any option for users to answer alternative questions.
  • A government agency support page that lists FAQs without a way to submit alternative answers.

Invalid use cases:

  • Forum pages reserved for posting a single answer to a particular question.
  • A product support page where users can submit answers to a single question.
  • A product page to which users can submit multiple questions and answers on a single page.
  • Using FAQPage for advertising purposes.
  • The entire question text should be included in each question, and the entire answer text should be included in each answer. The entire question text and answer text may be displayed.
  • Content that includes obscene, profane, sexually explicit, graphically violent, promotion of dangerous or illegal activities, or hateful or harassing language may not appear as a rich result.
  • All FAQ content must be visible to the user on the source page.

As set out below, Google also has extensive guidelines for Q&A schema:

  • Only use the QAPage markup if your page has information in a question-and-answer format, which is one question followed by its answers.
  • Users must be able to submit answers to the question. Don’t use QAPage markup for content that has only one answer for a given question with no way for users to add alternative answers; instead, use FAQPage. Here are some examples:

Valid use cases:

  • Forum pages that allow users to submit answers to individual questions.
  • Product support pages that enable users to submit answers to singular questions. 

Invalid use cases:

  • FAQ pages written by the site itself that don’t let users provide alternative answers.
  • Product pages allowing users to give multiple questions/answers on an individual page. 
  • How-to guides, blog posts, and essays that answer a specific question.
  • You must not add QAPagemarkup to an entire site or forum if some of the content isn’t eligible, or apply QAPage markup to FAQ pages with numerous questions on a single page.
  • Don’t use QAPagemarkup in your advertising. 
  • Each question must include the full text of each question and answer.
  • Only use Answermarkup for answers to the questions. Not for comments on the questions or answers.
  • If your question and content include prohibited content such as hateful language, sexually explicit content, or promote dangerous or illegal activities, Google may not display it as a rich result.

If your content meets these guidelines, the next step is to implement the schema on your website and decide which type to use.

How Do I Implement QA and FAQ Schema?

You can implement schema either through JSON-LD or Microdata, but first, let me explain some more about them. 

JSON-LD is a schema definition language; it describes the structure and meaning of JSON data. JSON-LD is easy to use, lightweight, and extensible, allowing you to define your own custom schemas or utilize existing schemas from other sources.

In contrast, microdata uses a subset of the JSON format to add extra information to HTML tags. The role of this information is to identify the type of data and how to handle it. For example, you can use microdata to mark up a person’s name and email address:

I recommend choosing one style and sticking to it throughout your webpage; for consistency, I’d suggest not using both types on the same page. Let’s walk through a quick process on how to create and test each type of schema on your site. 

Create Your Schema

If you’re unsure which one is best to use, Google recommends JSON-LD, and Google has been in the process of adding support for markup-powered features. You can implement JSON-LD in the header of your content, and it’s quick to add.

JSON-LD

If you’re wondering what this looks like in practice, here are some examples:

JSON FAQ schema.

For ease of implementation, you can create your own schema by using the Technical SEO FAQ schema markup tool. It gave me the following result:

Results from the Technical SEO FAQ schema markup tools.

The Technical SEO tool is easy to use. Just select the type of page you want to create, add in your questions and answers, and watch the schema appear!

Microdata

Now on to microdata.

Creating microdata code, like the example below, may appear complicated, but it doesn’t have to be. You can use one of the many free tools to create your own code, like I did here:

<div class=”schema-faq-code” itemscope=”” itemtype=”https://schema.org/FAQPage”>

  <div itemscope=”” itemprop=”mainEntity” itemtype=”https://schema.org/Question” class=”faq-question”>

    <h3 itemprop=”name” class=”faq-q”>What is digital marketing?</h3>

    <div itemscope=”” itemprop=”acceptedAnswer” itemtype=”https://schema.org/Answer”>

       <p itemprop=”text” class=”faq-a”>Digital marketing is the process of creating, managing, and executing a marketing plan that uses digital technologies to reach and engage customers. Digital marketing includes email marketing, search engine optimization (SEO), social media marketing, and display advertising.</p>

    </div>

  </div>

  <div itemscope=”” itemprop=”mainEntity” itemtype=”https://schema.org/Question” class=”faq-question”>

    <h3 itemprop=”name” class=”faq-q”></h3>

    <div itemscope=”” itemprop=”acceptedAnswer” itemtype=”https://schema.org/Answer”>

       <p itemprop=”text” class=”faq-a”></p>

    </div>

  </div>

</div>

When implementing schema on your website, feel free to use the templates above and modify them with your own text, or keep it simple by using the tools I linked to.

Consider questions that prompt your reader to take the next step. That could be clarifying a product feature, explaining your pricing model, addressing objections, or even tackling basic industry terms. If users are asking about it in a search—or in your support inbox—it’s probably a good fit. You don’t need a lot of questions either. Three to five well-structured FAQs can be enough to add value and get picked up by search engines.

Testing Your New Schema

Once you’ve finished, you can use Google’s Structured Data Testing Tool to test your rich results or structured data. The tool tests schema markup and rich results, and gives you feedback on any errors or issues with your code. Google’s Rich Result Tester also gives you an idea of what your structured data looks like in the results.

Google's rich results tester.

Getting Results With FAQ Schema

Log in to Google Search Console and enter the URL of any page you’ve modified in the top search bar.

The Google Search Console Interface.

After that, you want Google to crawl the page so it can index the results. The only thing you need to do is click “request indexing”.

Google crawling a page to index results.

After your URL is reindexed, it’s more likely to show up in relevant search results. 

The key to making this work is to do this with pages and terms that already rank on page 1. That’s where I’ve seen the biggest improvement.

Where to Use FAQ Schema

FAQ schema isn’t just for blog posts. You can use it across dedicated FAQ pages, knowledge bases, and any pages that give users helpful answers. 

Think of FAQ schema as a way to move users closer to a decision. If a potential customer might hesitate, an FAQ can help them keep going. When those answers show up in search, you’re making it even easier for them to find and trust you.

Wherever you decide to use it, be sure to add FAQs that handle objections, explain your process, or outline what’s included. The goal is to clearly address any concerns your customers may have. This might mean breaking down what makes your product or offering unique or helping customers choose between different options in your industry.

Does FAQ Schema Help Me Rank For People Also Ask and Featured Snippets?

Here’s a question: Does the FAQ schema help with ‘People Also Ask’ and Featured Snippets?

Yes. Properly structuring your data using FAQ schema markup can significantly increase your chances of appearing in People Also Ask or AI-driven searches. Structuring your data shows Google that your FAQs are providing direct answers to users questions, creating a much better chance of increasing your visibility.

Maximizing your efforts here may require some research. Dig into what customers are asking routinely on your own pages, as well as competitors and industry leaders. From there, you can frame those user queries as FAQs on your pages. 

With the right questions in hand, your job now becomes answering them as directly as possible. Write a quick, direct answer that takes no more than two to three sentences. Also, don’t “bury the lead.” Make sure you include the important information as close to the beginning of your answer as possible.

Does FAQ Schema Help Me Rank For Voice Search?

Short answer: absolutely!

For a start, FAQ schema can help Alexa users find you. According to recent stats, there are about 77.6 million Alexa users in the U.S. alone, and you want these people to discover your site!

It’s not just Amazon, though. 

Apple and Google are also using voice search, and there’s a good reason why: in recent years, voice search use is up among online users. Recent data shows there are over 100 million U.S. consumers using smart speakers.

Additionally, voice search enhances accessibility and enables mobile users to find you when they’re on the go, providing two more reasons to consider using FAQ schema markup.

Questions from voice search get most of their answers from featured snippets, and adding structured data on your website increases the chances of getting you into these high-visibility snippets.

I also suggest checking out these tips on voice search SEO for more strategies for ranking for voice search.

Does FAQ Schema Help Me Rank In LLMs?

Yes, and it’s becoming a bigger deal by the day.

As generative AI continues to shape search, large language models (LLMs) like Google’s Gemini and Bing Copilot are pulling more answers directly from structured content. That includes FAQ schema.

If your content is clearly marked up and answers a question well, it has a higher chance of being pulled into AI Overviews and other rich AI snippets, even if your page isn’t ranking #1 organically.

This is especially true for concise, factual Q&A content. LLMs look for clarity, context, and credibility. Well-written FAQ schema checks all three boxes and gives search engines a clean structure to work with.

While there’s no guaranteed way to rank in AI-generated results, schema gives your content a technical advantage. It tells the model: “Here’s a clear, trustworthy answer.”

And with less real estate available in AI-driven SERPs, every edge counts.

If future visibility is your goal, FAQ schema should be part of your strategy. It’s one of the simplest ways to increase your chances of being surfaced by generative AI.

FAQs

What is FAQ schema?

FAQ schema is a type of structured data that helps search engines understand and display your frequently asked questions in the search results. It can turn your standard FAQs into rich results, giving your listing more space and improving click-through rates.

How do you create FAQ schema?

You can create FAQ schema manually using JSON-LD code or use a tool or plugin that generates it for you. Many platforms like WordPress have SEO plugins that make this simple—just input your questions and answers, and the markup is handled for you.

How do we implement FAQ schema?

Once you’ve created your FAQ schema, you can add it to the HTML of your page—usually in the header or just before the closing body tag. Be sure to test your code using Google’s Rich Results Test to make sure it’s valid and error-free.

Does FAQ schema still work?

Yes, FAQ schema still works—and it’s more relevant than ever. It not only boosts your visibility in the SERPs but also increases your chances of being included in AI Overviews and other generative search features.

Conclusion

The simple hack of adding FAQ schema potentially increases the visibility of your brand and helps improve the authority of your website. It’s a simple solution that can take a single day to implement across your main question, product, or FAQ page.

I’ve used it heavily in the past, and as long as I pick keywords that I already rank on page 1 for, I get great results.

Although FAQ schema markup looks complicated, there are plenty of free tools to help you create it, and taking this extra step may give you an SEO advantage that other sites may lack.

Read more at Read More

How to Build an AI-Ready SEO Team: A Complete Guide

/0 Comments/in /by

Modern SEO teams aren’t just optimizing for rankings in traditional search anymore.

They’re also optimizing for visibility in AI-powered search and answer engines.

And that shift is showing up in job listings.

I recently came across this position:

Position – Job listings

This isn’t an outlier.

Dozens of companies are now posting similar roles, and the shift runs deeper than new job titles.

I reviewed 100+ general SEO job postings.

96% mentioned AI somewhere in the description.

AI mentioned in job description

AI is creating entirely new positions, but it’s also changing what existing roles require.

Why?

Because AI search works differently from traditional Google ranking.

It extracts passages, synthesizes information, and presents instant answers from multiple sources.

This shift opens up new visibility opportunities beyond ranking in traditional search engines.

SEO teams that expand their skills now can ensure their brands are visible in AI search.

In this guide, you’ll learn:

  • Why traditional SEO skills are no longer enough to cover what AI search requires
  • Which AI-era skills your SEO team needs
  • How to evolve your existing team (without adding unnecessary new roles)

Want a faster way to apply what you’re about to learn?

Download the AI SEO Team Building Assistant.

Upload it to your preferred AI platform (like ChatGPT or Gemini). Type “START” and follow the conversation.

Once complete, you’ll get a custom one-page plan, a checklist, and more, showing exactly how to evolve your SEO team for AI-first search.

The Skills Gap Between Traditional and AI SEO

The current SEO skill set still matters.

Keyword analysis. Technical optimization. Link building. None of that goes away.

But AI search adds a new layer your team needs to master.

Here’s what I mean:

Traditional SEO gets your pages ranking in top search positions.

Traditional Search Visibility

AI SEO gets your brand visible in AI-generated answers — through brand mentions, citations, or both.

AI Search Visibility

You’re expanding what SEO covers. Not replacing it.

Let me break down what’s changed and what it means for your team.

What’s Changed

Search behavior itself has evolved a lot over recent years.

A growing number of people don’t just “Google” anymore. They discover, compare, and decide across multiple platforms. (And this has been the case since long before ChatGPT came along.)

Someone might start on TikTok, check Reddit reviews, search on Google, and ask ChatGPT for a summary before taking action. And they might revisit these platforms at various stages of the journey.

That journey looks less like a straight line and more like a network.

How People Search in 2025

Here are five other changes reshaping how search works today:

  • Whole-web signals: AI pulls from your website and everywhere else your brand appears online. Your entire digital footprint influences your AI visibility.
  • Entity recognition: AI understands your brand as a concept it can connect to products, industries, and related topics, not just keywords to match (learn more in our guide to entity SEO)
  • Passage-level retrieval: AI extracts specific sections from your content to use in its answers, not entire pages. This means it needs to be clear what each section of your content is about.
  • Conversational search behavior: AI search queries tend to be longer and more specific. People describe problems in detail rather than typing short keywords, which means the AI often cites highly specific content rather than generic guides.
  • Zero-click reality: Users can now get complete answers without visiting websites. Traffic from search is no longer guaranteed, even with strong visibility.

What This Means for Your Team

These changes don’t require you to rebuild your team from scratch.

But they do require expanding what your team focuses on:

  • Your content team still writes. But now they also need to structure content so AI can easily understand it and extract sections for its answers.
  • Your technical SEO team still optimizes site architecture. But priorities shift toward AI crawlability, performance, and schema implementation.
  • Your strategist still tracks performance. But now they also need to measure citations and brand mentions across AI platforms.

Most of these skills build on what your team already knows. Again, they’re extensions, not replacements.

4-12 months is a typical timeline to get your team comfortable with AI SEO fundamentals.

You’ll need some combination of internal training, external guidance, and selective hiring — depending on your current gaps. I’ll talk more about this later.

First, let’s break down the specific skills your AI SEO team needs.

Essential AI SEO Skills Your Team Needs

Not everyone needs to be an AI SEO expert in all areas.

One person (typically a lead or strategist) needs strategic understanding. They understand how AI search works and can adapt when platforms change.

The rest of your team needs execution capability. They can follow guidelines and apply best practices.

It’s helpful if they show interest in understanding AI SEO, but it’s not required.

Here are the key skills that bridge traditional SEO and AI search.

Understanding AI Retrieval

AI platforms find and reference content differently from Google’s traditional ranking systems.

Some platforms, like Perplexity, search the web in real-time.

Others, like ChatGPT, can search the web or pull from their training data.

And AI Overviews use Google’s existing index and Gemini’s training data.

To optimize for and appear in these places, your team needs to understand how these systems select what to cite and mention.

When someone asks a question, these platforms look for content that directly answers the query. They prioritize sources that are clearly structured and contextually relevant.

How AI Search Works

Note: AI systems also use a process called query fan-out. This involves expanding one user prompt into multiple related sub-queries behind the scenes.

That means your content can surface even if it doesn’t match the original question exactly. If it covers a related angle or entity that the AI connects to the topic, it can be cited or mentioned.

Learn more about this in Semrush’s guide to query fan-out optimization.

Who Can Own It?

Your SEO lead or strategist typically owns this skill.

They already understand search intent and ranking logic — the same foundations that AI retrieval builds on.

In smaller teams, a content strategist can also take this on with a shallow learning curve.

Typically, they’ll spend 2-3 hours monthly testing how your brand appears across AI platforms. Document patterns in what gets cited. And adjust content strategy based on what’s working.

Writing for AI Extraction

AI search tools don’t respond to user queries with entire articles. Instead, the AI pulls specific passages that answer those queries.

If a passage requires a lot of surrounding context to make sense, AI may be less likely to understand its relevance and therefore be less likely to use it.

This means each section of your content needs to still make sense even when taken out of the context of the rest of the article.

Each section should answer a specific question on its own, without relying on references to other parts of the article.

This is generally just good writing practice. If you find yourself making too many unique points in one section, it’s probably best to split it into subsections.

But clarity here is also key.

For example, avoid: “As we mentioned earlier, this approach works well…”

Instead, write: “Structuring content into self-contained passages helps AI extract and cite your information more effectively.”

Here’s another example of effective writing for AI extraction:

Reviews

The second version makes sense whether someone reads your full article or sees just that paragraph in an AI response.

This doesn’t mean every sentence needs a complete context. It means key passages should stand alone.

Who Can Own It?

Your content or editorial team can handle this.

SEO provides the framework and guidelines. Writers implement it in their daily work.

For example, editorial reviews the article structure before publishing, ensuring each section has a clear, standalone takeaway.

Sometimes that means breaking a 500-word section into three shorter subsections with specific headers.

By the way: As a content marketer myself, I don’t think this shift is dramatic.

Most great content teams already write clearly and structure information logically. This just prioritizes ensuring key passages work independently.

Building AI-Readable Structure

AI needs clear signals to understand your site’s structure and how content relates to other pages on your site.

Things like schema markup, internal linking, and clear site hierarchy provide those signals.

For example, schema markup makes your data more structured by defining what your content represents.

This can make it easier for AI systems to interpret and cite your content accurately.

While the full impact is still unclear, structured data makes your content easier to parse, which is helpful for search engines anyway. And since Gemini can lean on Google’s search infrastructure, it’s not all that unreasonable to expect that schema could at least indirectly affect your visibility in places like AI Overviews and AI Mode, now or in the future.

Markup Types

Similarly, internal linking shows how topics connect.

Topic Clusters

And a clear site hierarchy indicates which pages are most important.

Systematic Content Hierarchy

Think of it as creating a map.

Instead of making AI infer relationships, you’re explicitly defining them.

Beyond your site: Entity databases

Once you have the basics down, consider registering your brand and products in databases like Wikipedia, Wikidata, or Crunchbase.

These knowledge bases help AI systems understand entity relationships and how your brand fits into broader industry contexts.

This bridges on-site structure (like schema markup) with off-site presence. You’re helping AI systems recognize your brand across the web, not just on your site.

You don’t need this starting out. But it’s worth exploring once your core AI SEO structure is in place.

Who Can Own It?

Your technical SEO can take ownership of this skill.

They already handle the fundamentals like implementing schema markup, managing site architecture, and optimizing internal linking structures.

The approach doesn’t change much. They’re just applying the same technical skills with AI systems in mind.

Tracking AI Performance

Traditional SEO metrics (like rankings, organic traffic, and click-through rates) still matter.

But they don’t say anything about your brand’s AI search visibility.

You need different metrics now, including:

  • Platform breakdown: Where you’re showing up (ChatGPT, Perplexity, Google AI Overviews, etc.)
  • Citation frequency: How often your content gets cited as a source in AI responses
  • Mention rate: How often your brand appears in AI-generated answers or recommendations
  • Mention sentiment: Whether those mentions are positive, neutral, or negative

These numbers indicate whether your AI SEO strategy is working.

Semrush’s AI Visibility Toolkit can help you track these key AI search metrics.

AI Visibility – Overview – Nike

Without specialized tools, you’ll need to manually search key queries across platforms and track when your brand appears.

Who Can Own It?

Your SEO analyst or whoever handles performance reporting can own this.

They’re already tracking traditional metrics. AI performance metrics become an addition to that dashboard.

If using AI visibility tools, they’ll monitor your visibility score and citation trends monthly.

Without specialized tools, they’ll need to manually search key queries across platforms, document when and how your brand appears, and track changes over time.

Further reading: 5 LLM Visibility Tools to Track Your Brand in AI Search

Optimizing Off-Site Signals

AI tools go beyond just looking at your website and pull from everywhere your brand is mentioned online. Including:

  • G2 reviews comparing tools
  • Reddit threads discussing your product
  • Forum conversations about your industry
  • News articles mentioning your company

AI Searches Multiple Sources

If those mentions are sparse or outdated, AI has less information to pull from when someone searches for your brand specifically or asks about your product category.

This is where AI search extends beyond your domain.

AI Search Strategy

Who Can Own It?

No single person can own this entirely.

PR, community management, and customer success each control different pieces of the puzzle.

Someone from SEO can take the coordination role, ensuring these teams understand how their work affects AI visibility.

In practice, this often means your SEO lead or director works cross-functionally to align off-site efforts with AI discoverability goals.

For example, they work with customer success to encourage reviews on platforms like G2 or Trustpilot.

They also monitor where your brand gets mentioned across forums, social platforms, and community discussions.

Further reading: Search Everywhere Optimization Guide (+ Free Checklist)

Platform-Specific Optimization

Different AI platforms retrieve and display information in their own ways.

For example:

  • Perplexity searches the web in real-time and shows numbered citations
  • ChatGPT can search the web or pull from its training data
  • Google’s AI Overviews draw from Google’s search index and Gemini’s training data

What gets you cited on one platform won’t automatically work on another because each platform follows patterns in what it mentions and cites.

For instance, I searched “which is the best camera phone of 2025” across three platforms.

ChatGPT cited multiple YouTube videos, a Reddit thread, Tom’s Guide, Yahoo, and Tech Advisor.

ChatGPT – Cited multiple YouTube videos

Google’s AI Mode cited one YouTube video along with a bunch of other websites — no Tom’s Guide, Yahoo, or Tech Advisor.

Google AI Mode – Best camera phone – Citations

Claude cited Quora and Android Authority twice. No Reddit threads, YouTube, or Tom’s Guide.

Claude – Best camera phone

Same query, completely different sources and mentions.

Your team needs to understand these differences when optimizing for AI visibility.

You don’t need separate strategies for each platform. But knowing how different platforms prioritize sources helps you structure your entire approach, from content to technical implementation to off-site presence.

Who Can Own It?

Your SEO lead or strategist can typically own this.

They can track how your brand appears across platforms and identify what’s working where.

They’ll spot gaps in coverage on LLMs that matter to the brand. For example, strong presence in ChatGPT but weak in Perplexity.

Then they work with content, technical, and other teams to adjust the overall strategy.

Query Intent Mapping

People search differently in AI platforms than they do in Google.

Traditional Google: “best CRM software”

ChatGPT: “I need a CRM for a 50-person sales team, budget around $10K annually, must integrate with Salesforce”

The queries are longer. More conversational. More specific.

I checked my own most recent 100 prompts to ChatGPT. They averaged 13 words each.

Compare that to traditional Google searches, which typically run 3-4 words.

Conversational AI Queries

Understanding these prompt patterns helps you create content that answers the actual questions people ask AI.

You need to think beyond traditional keywords.

What detailed questions are the people in your audience asking? What context are they providing? What outcome do they want?

Who Can Own It?

Whoever leads keyword research or content planning can take this on, usually your SEO strategist or content planner.

This builds directly on existing keyword research skills.

You’re expanding from “what keywords do people use?” to “what problems are people trying to solve?”

(Which you should have been doing all along, but now with a stronger focus.)

This person will analyze how people search in AI platforms and document the longer, conversational queries they use.

Then they’ll build content briefs that address those specific questions and scenarios.

The Build, Buy, or Borrow Decision: Getting AI SEO Skills on Your Team

You know which skills your team needs.

Now comes the practical question: how do you actually get them?

You have three options:

  • Build internally
  • Hire new talent
  • Bring in outside expertise

Here’s a snapshot of the pros and cons of all three:

Build Buy Borrow

Most teams end up doing some combination of all three. The key is knowing which approach works best for specific skills.

Let’s look at each one in detail.

1. When to Build (Develop Internally)

Upskilling your current team is almost always the smartest first move.

They already know your brand, your workflows, and your audience. That context shortens the learning curve dramatically.

Focus on developing skills that evolve naturally from what your team already does.

For example:

  • Train writers to structure content for AI extraction
  • Help your SEO lead understand AI retrieval patterns and how citations work
  • Encourage your analyst to track AI visibility metrics alongside rankings

These are logical extensions of existing expertise. Not entirely new disciplines.

Now, training doesn’t have to mean building a full internal curriculum.

Start small. For example:

  • Run short internal workshops to explain how AI search retrieves and cites content
  • Review recent AI-generated answers for your top keywords and note which competitors get mentioned
  • Compare their cited passages to yours, and update one or two articles using those patterns

To make internal training effective, use this quick checklist:

Internal Training Checklist

Upskilling may not be the fastest route to output. It can take a few months before you see real traction.

But it is the most sustainable.

Once your team starts applying AI-first thinking, you’ll see compounding returns with every new SEO campaign.

Best For Startups and mid-sized teams that already have strong SEO foundations but a limited budget for new hires.
Watch Out For Don’t overload your team with theoretical “AI SEO” training.

Focus primarily on skills that directly connect to visibility outcomes, like structure, clarity, and retrievability.

Also watch for skill concentration. If one person (like your SEO lead) ends up owning 3+ new AI skills, that’s a bottleneck. Consider hiring or borrowing expertise to spread the load.

2. When to Buy (Hire New Talent)

When you need expertise faster than you can build it internally, it’s time to hire.

Bringing in new talent makes sense when the skill is both specialized and strategic.

Something that gives your brand a long-term edge, not just a short-term fix.

For example:

  • Hiring a data or visibility analyst who understands how to measure citations and brand mentions across AI platforms
  • Bringing in a technical SEO who can model entities and implement structured data at scale
  • Adding an AI content strategist who can guide how your content aligns with AI retrieval patterns

These hires extend the capabilities of your existing SEO team. They don’t replace it.

The key to finding the right people?

Clarity before you post the job. Decide what outcome you’re hiring for.

Do you need faster technical execution, deeper analytics, or dedicated AI visibility leadership?

Before you start recruiting, here’s a quick checklist to work through:

Hiring Preparation Checklist

With clear hiring criteria, you’ll know which expertise to prioritize and what title makes sense for your organization.

Best For Mid-sized and enterprise teams that have budget flexibility and want to move faster than internal training allows.
Watch Out For Don’t over-index on shiny new “AI SEO” titles. Few people have that exact label yet.

Instead, look for specialists in areas like data, structured content, and retrieval systems. These are people who can bridge SEO and AI.

3. When to Borrow (Outsource or Consult)

Not every skill is worth building or hiring for.

Some are highly specialized. Others you only need for a short period.

That’s where borrowing expertise makes sense — through consultants, freelancers, or agencies.

Outsourcing works best when you need to move fast on projects that require niche expertise.

For example:

  • Hiring a consultant to set up AI visibility tracking before your analyst takes over
  • Partnering with a content firm to scale passage optimization across hundreds of pages
  • Bringing in a Reddit marketing expert to boost your brand’s presence in relevant subreddits

This approach gives you access to deep expertise without expanding headcount.

You can bring in specialists to handle complex projects, fill capability gaps, or run pilot programs that would slow your internal team down.

Sometimes that means a one-off engagement.

Other times, it’s a recurring partnership that supports your strategy long-term.

The goal isn’t to offload responsibility. It’s to fill gaps your team can’t cover yet and to get critical work done without slowing down larger projects.

When evaluating potential partners, here’s a quick checklist to follow:

Partner Vetting Checklist

Best For Teams that need quick access to specialized expertise or extra hands for complex, time-bound projects.
Watch Out For Don’t treat outsourcing as a default fix.

If a skill becomes core to your strategy, consider bringing it in-house. But for niche or technical projects, keeping trusted external support can be more practical.

Choose partners who understand your brand voice. AI-first SEO still needs human context.

Further reading: SEO Consultants Guide: When to Hire and What to Expect

The Hybrid Reality

In practice, it’s rare that a team is fully built, bought, or borrowed.

You’ll probably use all three, often at the same time.

How much you lean on each one depends on factors like:

  • Your current team’s strengths and bandwidth
  • Budget flexibility for hiring or contracting
  • The urgency of upcoming SEO goals
  • How quickly AI search is evolving in your industry
  • Leadership’s appetite for experimentation

In my experience, many teams land somewhere near a 70-20-10 split. Which is roughly 70% built internally, 20% borrowed through outside experts, and 10% bought as new hires.

The exact ratio matters less than how deliberately you manage it.

Here’s how to keep that balance right:

  • Prioritize by impact: Build skills that sustain long-term visibility. Borrow when you need speed or experimentation. Buy only when a role becomes essential to your strategy.
  • Keep ownership internal: Even if outside partners execute the work, ensure someone on your team owns the outcome and applies the learnings.
  • Plan for rotation: As new AI SEO trends emerge, your mix will likely shift. What starts as a borrowed skill may become core within six months.
  • Audit regularly: Review your mix every quarter to see which skills rely too heavily on outside help. If a borrowed skill becomes recurring, start building it internally.

Follow this quick team review checklist to keep stock of your built, bought, and borrowed setup.

Quarterly Team Review Checklist

The key is flexibility and adaptability.

As priorities shift, don’t hesitate to rebalance how your team works.

That might mean promoting someone internally to take ownership of AI visibility, bringing in a freelancer to handle off-site optimization, or hiring a new analyst to deepen your data capability.

Adjust your structure based on what delivers the most impact, not what’s written on the org chart.

Your AI SEO Adoption Roadmap

You don’t need a massive reorg to evolve your SEO team for AI search.

You need a plan that helps your team build capability, test what works, and scale what proves effective.

This roadmap gives you that plan.

It breaks down:

  • What to focus on in each phase
  • How to build momentum
  • What progress should look like along the way

AI Seo Adoption Roadmap

By the end, your team will know how to apply AI SEO principles consistently.

Note: This timeline is a starting point, not a rule.

Startups with smaller teams might compress this into 6 months. Enterprises coordinating across departments might need 15-18 months.

The timeline matters less than starting now and making steady progress.

Phase 1: Foundation

Start by taking stock of where your team stands.

Before diving into new tactics, align everyone around what AI SEO means for your brand and how your current approach fits into it.

This stage sets direction and gives your team the confidence to move with purpose.

Here’s what to focus on in the first three months:

  1. Assess current capabilities: Review your team’s strengths across content, technical, and analytical areas. Identify which AI-era skills exist internally and which ones you’ll need to hire for or outsource.
  2. Establish your visibility baseline: Search your most important topics in tools like ChatGPT, Perplexity, and Google AI Overviews. Track if (and how) your brand shows up.
  3. Pick 2-3 priorities to act on: Choose the areas with the clearest opportunity to improve. That might mean tightening content clarity, mapping entities, or aligning off-site mentions.
  4. Run a small pilot: Select a few representative pages and update them based on what you’ve learned. Then recheck whether those updates help your brand appear more often in AI answers.
  5. Document key learnings: Capture what worked and what didn’t in a short internal memo. This becomes the foundation for next quarter’s priorities.

Goal: Build clarity, alignment, and a shared understanding of how AI search changes what your team prioritizes.

By the end of this phase, your team should understand what makes content discoverable in AI search, have a documented baseline to track progress, and have at least one small win that proves the approach works.

Phase 2: Acceleration

Once you’ve built your baseline, it’s time to turn insights into action.

The second phase focuses on building capability and momentum. This involves scaling what worked in your pilot, closing skill gaps, and introducing systems that help your team move faster together.

Here’s what to focus on over the next few months:

  • Strengthen capability: Run short training sessions to deepen AI SEO understanding across functions. If a skill gap exists, bring in a freelancer, consultant, or new hire to fill it quickly.
  • Encourage cross-functional collaboration: Bring content, SEO, analytics, product, and brand together under one shared visibility goal. Clarify ownership so responsibilities don’t overlap.
  • Expand your pilot: Apply what worked from Phase 1 to more pages or campaigns
  • Build repeatable workflows: Turn early learnings into working systems. Standardize how technical, analytical, and content tasks are executed for AI-driven discovery. Each function should know what “AI-ready” means in its area.
  • Use shared dashboards: Track AI visibility metrics in one place and review them as a team so everyone sees how their work contributes to results
  • Run monthly reviews: Check how well your team is adapting to new systems and responsibilities. Identify where people need support, additional training, or outsourced help.

Goal: Build capability, consistency, and accountability across your team’s AI SEO initiatives.

By the end of this phase, your team should operate with clear workflows and defined ownership across technical, analytical, and content areas.

You should also have unified dashboards that let all stakeholders track progress and collaborate without duplicated work.

Phase 3: Scale

This final phase turns AI-first thinking into how your team operates by default.

The goal now is to make the new skills, workflows, and decision habits permanent. This way, your AI SEO capability grows without needing constant resets.

Here’s what to focus on in the next six months:

  • Integrate what works: Expand the proven approaches from earlier pilots across your full SEO and content programs. Keep the frameworks that consistently improve visibility; drop the ones that don’t.
  • Solidify roles and ownership: Define who leads AI-related strategy, measurement, and experimentation. Clarify responsibilities so the team stays agile even as you scale.
  • Strengthen internal training: Turn what your team learned into short onboarding sessions, playbooks, or process docs. This keeps new hires aligned and prevents knowledge loss.
  • Plan for selective specialization: As your AI SEO programs mature, assign ownership where consistent work is required. That could mean promoting a team member to lead AI visibility reporting, assigning an SEO specialist to oversee off-site signals, or partnering long-term with a proven external expert.
  • Create leadership visibility: Share quarterly reports on AI-driven results and learnings with senior stakeholders. This keeps support (and budgets) growing with your progress.

Goal: Make AI-first execution routine and scalable across your team.

By the end of this phase, your team should operate with defined roles and responsibilities. You should have internal systems for training, reporting, and process consistency.

Leadership should have visibility into AI performance outcomes so the team treats AI SEO as an integrated function, not an experiment.

Measuring AI SEO Team Success

You can measure your AI SEO team’s success by tracking how often your brand appears in AI-powered answers.

Here are important AI SEO metrics to track:

  • Citation frequency: How often AI platforms cite your content as a source
  • Brand mention rate: How often your brand appears in AI responses
  • Platform coverage: Which AI platforms reference you (ChatGPT, Perplexity, Google AI Overviews, etc.)
  • Sentiment: Whether those mentions align with your brand positioning

Semrush’s AI Visibility Toolkit makes tracking these metrics simple.

It shows your AI Visibility Score and how many times your brand is mentioned across different AI platforms.

AI Visibility Overview – Backlinko

It also shows which prompts your brand appears for, revealing which topics your team’s content strategy is successfully targeting.

Prompt Research Report

In your Brand Performance report, you can compare your brand’s visibility against multiple competitors.

The report includes insights like your Share of Voice (percentage of mentions compared to competitors) and sentiment analysis. This tells you whether AI platforms present your brand positively or negatively.

Brand Performance – Backlinko – Sentiments – Share of Voice

For larger organizations, Semrush offers Enterprise AIO, with team collaboration features and advanced analytics.

Semrush AIO – Backlinko – AIO Overview

Specifically, your AI Visibility Score is a good overall indicator of your AI SEO team’s performance.

If it has improved over 3-12 months, it means your team is executing well. The skills are translating into real visibility.

If results aren’t showing after two quarters, revisit your priorities. You might be focusing on the wrong skills first or need to adjust your build/buy/borrow mix.

Pro tip: When you start building your team’s AI SEO skills, benchmark your brand’s AI Visibility Score alongside five competitors.

After 3-12 months, compare growth rates, not just final scores.

Your score might increase from 30 to 40 (+10 points). But if competitors jumped from 40 to 60 (+20 points), not only are they more visible — they’re also outpacing you.

Track relative growth to understand your true competitive position.

Get a Custom AI SEO Team Plan in 20-30 Minutes

AI SEO is built on traditional SEO. But there are more layers to it.

Your SEO team needs updated systems and upgraded skills so your brand gets mentioned (and your website cited) in AI search results.

We created the free AI SEO Team Building Assistant to turn everything you just read into a custom action plan for your team.

Download the file, upload it into your AI platform of choice (Claude, ChatGPT, Gemini), and follow the conversation.

This is an interactive session that adapts to your specific team, budget, and constraints. It’s not just a cookie-cutter report after a basic prompt.

It takes around 20 minutes to work through (but you should take your time with it). At the end, you’ll walk away with a complete implementation plan.

Here’s an example of the output, starting with the one-page plan:

ChatGPT – One-Page Plan

You’ll also get a “Skills Ownership Map” showing which team member owns which skill. And which skills to build, borrow, or buy.

ChatGPT – Skills Ownership Map

Plus a Phased Roadmap, KPI Tracking Framework, Leadership Brief, and 30-day checklist.

ChatGPT – 30-day Checklist

Everything is tailored to the specific inputs you provide in the interactive conversation.

Here are some tips for getting the most out of this assistant:

  • Block 30 uninterrupted minutes so you can really engage with the conversation
  • Have your current team structure in mind
  • Be specific in your answers (vague input = generic output)
  • Be honest about constraints (like budget, time, and capabilities)

Download the AI SEO Team Building Assistant and start building your AI-ready team.

The post How to Build an AI-Ready SEO Team: A Complete Guide appeared first on Backlinko.

Read more at Read More

How to use headings on your site

/0 Comments/in , /by

Headings structure your content for both readers and search engines. They help users scan a page, understand its content, and quickly locate the information they need. Search engines and AI systems use headings to interpret the topic and structure of your content. By using one clear H1, supported by well-written H2 and H3 headings, you can improve readability, accessibility, and SEO simultaneously.

Table of contents

Key takeaways

  • Headings structure content and boost readability for users and search engines, enhancing SEO simultaneously.
  • Use one clear H1 for the main topic, with H2s for main sections and H3s for sub-sections, maintaining logical hierarchy.
  • Headings improve accessibility for users with assistive technology by providing clear navigation and organization.
  • Avoid common mistakes like skipping heading levels, using vague labels, or keyword stuffing to maintain clarity and trust.
  • With Yoast SEO, optimize heading structure and keyword usage to enhance content quality and search rankings.

Did you get a red or an orange traffic light for subheading distribution in Yoast SEO? Learn how to distribute them better. Or did Yoast SEO give you feedback on how you use your keyphrase in subheadings? Learn how to improve that.

What are headings?

Headings are the titles and sub-titles used to structure your content. In HTML, headings range from H1 to H6. These tags inform browsers, search engines, and assistive technologies about the organization of your content.

On a typical page, the H1 is used for the main topic. H2 headings divide the text into main sections. H3 headings divide those sections further. This hierarchy creates a logical outline of your page, similar to the table of contents of a book.

Without headings, your content becomes difficult to scan. With clear headings, readers can immediately see what your page is about and which sections are relevant to them.

Why are headings important for SEO?

Headings help search engines understand what your content is about and how different topics on the page relate to each other. They provide structure, context, and signals about the importance of different sections.

Your H1 usually tells search engines what the main topic of your page is. Your H2 and H3 headings support that topic by introducing related subtopics. When this structure is clear and logical, it becomes easier for search engines to interpret your content correctly.

Headings also support semantic SEO. Rather than focusing on one keyword, search engines now assess topical relevance and context. Well-written headings naturally contain related terms and concepts that reinforce the overall topic of the page. This approach works best when combined with thorough keyword research and in-depth content. You can read more about this in our guides to keyword research and high-quality content.

Headings also play a role in how content is interpreted by AI driven search systems. Clean structure makes it easier for these systems to extract accurate answers from your pages.

Why are headings important for readers?

Most visitors do not read every word of a page. They scan first. They look at the title, skim the subheadings, and only then decide which parts to read in detail. Headings support this natural reading behavior.

Clear headings improve readability by breaking long texts into manageable sections. They help readers understand what each part of the article is about before they start reading it. This lowers the effort required to engage with your content and keeps people on the page longer.

Readability is a key quality signal. If you want to go deeper into this topic, our readability guide explains how structure, sentence length, and headings work together to create content that is easy to read.

How to use headings correctly

Using headings correctly means following a logical hierarchy and writing them with the reader in mind. Each page should have one clear H1 that describes the main topic. This is usually your page title. Below that, use H2 headings for your main sections. If a section becomes lengthy or complex, use H3 headings to further divide it.

Do not skip heading levels. An H3 should always follow an H2, not jump directly from an H1. This keeps the structure logical for both users and machines.

Your headings should describe what the section is about. Avoid vague labels such as “Introduction” or “More information.” Instead, write headings that clearly explain what the reader will learn in that section.

How many H1 headings should you use?

In most cases, you should use one H1 per page. The H1 defines the main topic of the page and helps both users and search engines understand what the page is about at a glance.

Although modern HTML allows more than one H1, using multiple H1s often creates confusion about the primary focus of the page. For consistency and clarity, one H1 is still the best practice for most websites.

Your H1 should be written naturally and should not be stuffed with keywords. It should read like a real headline written for humans. If you need help with this, Yoast SEO can balance clarity and optimization in headlines and titles.

How to use H2 and H3 headings

H2 headings divide your article into its main sections. Each H2 should cover one important aspect of your topic. When someone scans only your H2 headings, they should still be able to understand the overall structure and purpose of your article.

H3 headings are used within an H2 section to break it down into smaller parts. They are useful when you explain steps, compare options, or cover several closely related points within one larger section.

You should not use H3 headings unless they add clarity. Headings are meant to support the reader, not to decorate the page.

Common mistakes when using headings

A common mistake is using headings only for visual styling. Headings are not just larger or bolder text. They define the structure of your content in the HTML. Choosing a heading level solely based on its appearance can compromise the semantic structure of your page.

Another frequent issue is skipping heading levels, such as jumping directly from H2 to H4. This disrupts the logical structure of the page and creates issues for screen readers and search engines.

Repeating the same heading text in multiple places is also a problem. Each heading should be unique so that users and search engines can clearly distinguish between sections.

Keyword stuffing is another mistake. Headings should sound natural. If they read like a list of search terms, they reduce trust and harm readability. Clear, descriptive language always works better.

Headings and accessibility

Headings are essential for accessibility. Screen readers utilize headings to assist users in navigating a page efficiently. With a proper heading structure, visually impaired users can easily navigate from section to section and understand how the content is organized without needing to listen to the entire page.

A clear and logical heading hierarchy improves usability for everyone, not just for users of assistive technology. It is also strongly aligned with how search engines assess page quality.

If accessibility is part of your broader optimization work, it should be considered alongside internal linking and overall site structure. Don’t forget that, in many cases, what’s good for accessibility is also good for SEO!

Read more: Writing accessible content: 4 checks you can do with Yoast SEO and the block editor »

Headings in WordPress and Yoast SEO

Yoast SEO uses headings as part of both its SEO analysis and its readability analysis. One of the checks it performs is on your subheading distribution, which looks at how evenly your text is divided into sections with headings. If large blocks of text appear without any subheadings, Yoast will flag this and suggest you add subheadings to improve the readability of that part.

Effective subheading distribution means readers regularly encounter clear signposts that help them navigate the page without feeling overwhelmed by long, uninterrupted paragraphs. See the video below to find out more about the subheading distribution check and the keyphrase in subheadings check in Yoast SEO:

How to get a green traffic light for your subheading distribution

What do you do if you get an orange or red traffic light in the Yoast SEO plugin for your subheading distribution? First of all, and this is quite obvious, don’t forget to use subheadings. You should try to create a subheading for every separate topic in your text. This could be for every paragraph or a couple discussing the same topic. 

We suggest that you include a heading above every long paragraph or group of paragraphs that form a thematic unit. The text following a subheading should be 250-350 words.

An example heading structure

Let’s say that we have a blog post about ballet shoes. We’ve chosen “ballet shoes” as our focus keyword and written an article about why we like ballet shoes. Without headings, there’s a risk that we might end up writing a long, rambling piece that is hard to understand. But if we structure things logically using headings, we make it easier to read and help focus our writing.

Here’s what the structure of that post might look like:

  • H1: Ballet shoes are awesome
    • H2: Why we think ballet shoes are awesome
      • H3: They don’t just come in pink!
      • H3: You can use them for more than just dancing
      • H3: They might be less expensive than you think
    • H2: Where should you buy your ballet shoes?
      • H3: The ten best ballet equipment websites
      • H3: Our favorite local dancing shops

See how we’ve created a logical structure, using H2 tags to plan sections and H3 tags to cover specific topics? We’ve done the same thing in the post you’re reading right now!

This is an excellent example of how your headings should be structured in a medium-length article. You should use fewer (or more general, high-level) headings for a shorter article. If you want to go into more detail, nothing stops you from using H4 tags to create even ‘lower-level’ sections.

Adding headings

Knowing how to structure is all well and good, but how do you add headings? The best way to explain this is in two of the most popular CMSs: WordPress and Shopify!

Note: The instructions below will walk you through how to add in-text subheadings. Don’t forget to add a post title at the top of the page, too! In Yoast SEO Premium, you’ll get a reminder to do so if the ‘Title’ field is empty. In addition, if you use Yoast SEO Premium, you get various other AI features, like Yoast AI Optimize, that help you do the hard work.

How to add a heading in WordPress

If you’re using WordPress, there are a couple of ways to do this:

Via the editor
The easiest way to add headings is through the editor. If you use the block editor, click the + button and select ‘Heading’. Then, you can select which heading (H2, H3, etc.) you want to add.

adding a heading in the block editor using the blocks menu
Selecting a heading type in the block editor of WordPress

If you’re still using the classic editor in WordPress, it’s easy, too. Ensure you’re on the visual tab of the editor and select ‘Heading 2’ or another heading from the dropdown menu.

adding headers in the classic editor using the headings drop down menu
Change the heading type from the dropdown menu in the classic editor

Using HTML
It’s also possible to add headings using HTML. In the classic editor, you will need to make sure you’re on the text tab (or directly in the code) and use heading tags <h1>, <h2>, <h3>, etc., to specify each type of heading. End each heading with a closing tag like </h1>. Like this:

adding headers in html in the classic editor
Be sure to select the Text tab in the classic editor in WordPress

You can switch between the visual editor or edit as HTML in the block editor. Click on the three vertical dots in the block toolbar to do that. Then, select the Edit as HTML option. Like this:

editing html in the block editor
You can also edit a post as HTML in the block editor

How to add a heading in Shopify

Adding headings in Shopify is similar to that in WordPress’s classic editor. If you’re in the content editor, you can select a piece of text and select the appropriate heading from the dropdown in the formatting menu item:

adding a header in shopify's nlog editor using the drop down menu
Select the text and choose a heading in Shopify

If you prefer to work in HTML, you can select the code sign in the upper right corner of the editor and create headings in HTML as described in the instructions for WordPress above.

editing the text in html in shopify using the icon on the top-right hand side
Click the code sign to switch to HTML in the Shopify editor

Using your keyphrase in the subheadings 

Headings allow you to prominently use your focus keyword (or its synonyms) to clarify what the page is about. By adding your focus keyphrase to your subheadings, you stress its importance. Moreover, if you’re trying to rank for keywords, you must write about them. You’ll probably have difficulty ranking if none of your paragraphs address the main topic.

Still, just like keyphrases, it’s important not to overdo it. Add your keyphrase where it makes sense and leave it out where it doesn’t.

Yoast SEO can help you with the keyphrase in headings assessment 

After you insert your keyphrase in Yoast SEO, the keyphrase in subheadings assessment checks whether you’ve used it sufficiently. In Yoast SEO, you’ll get a green traffic light if you use the keywords in 30 to 75% of your subheadings. Please note that we’ll only review your H2 and H3 subheadings. If you have Yoast SEO Premium or if you’re using the Yoast SEO for Shopify app, you can even check your use of synonyms.

green bullet showing a positive outcome for the subheadings assessment
A green traffic light for the keyphrase in subheadings assessment in Yoast SEO

How to add your keyphrase in your subheadings

Whether you add your keyphrase to a subheading depends on the paragraph(s) it’s connected to. Every paragraph in your text should tell the reader something about the topic. In addition, your subheadings are nothing more than a very short outline of what you will say in one or more paragraphs. Therefore, adding your keyphrase to one or more subheadings should always be possible. If you’re still struggling to achieve this, ask yourself a couple of questions about the structure of your article.

  1. Does my text discuss the topic described in the keyphrase? If not, should I pick other keywords?
  2. Do my current subheadings accurately describe what I discuss below?
  3. What paragraphs are most closely connected to the topic and the keyphrase?
  4. What questions do these paragraphs answer concerning the topic and the keyphrase?

Most of the time, you’ll find that answering these questions helps you add the keywords to one or more of your subheadings. If you can’t, you should probably reconsider question number one. If that doesn’t solve your problems, consider educating yourself on copywriting and text structure, to get a clearer view of how a good piece is structured. Your keyphrase should be central to the topic. Therefore, you should be able to add the keywords to several subheadings.

Headings in themes

Most themes will use headings as part of their HTML code, but some don’t follow best practices. Almost all themes will automatically use the name of your article in an H1 tag. This is helpful because you don’t need to repeat the post name inside your content.

Unfortunately, some themes use tags incorrectly, in an illogical order (e.g., an H4, then an H2) or use tags messily in sidebars, headers, and footers. This can cause accessibility problems, as the order of your headings may not make sense. Users, search engines, and assistive technologies typically examine the entire page, not just your content area.

If you have a custom theme, you may be able to resolve this issue by adjusting your HTML code. You may need to contact the developers if you’re using an off-the-shelf theme. Either way, you should verify that your headings are consistent across each template type on your website.

Check your blog’s headings

Using headings well is helpful for your users. It increases the chances of people reading your article, improves accessibility, and might even contribute to SEO. So add them to your copy, but make sure you use them correctly!

The document overview is a handy button located in the upper left corner of the WordPress block editor’s content editing screen. This shows an outline of the page you’re editing. If you’ve structured your content well, it should look like this!

If you’re using Shopify or the Classic Editor in WordPress, you can test your published article via the W3 Validator.

the outline menu in the block editor shows the hierarchy of the headings
Check the heading hierarchy in the WordPress outline feature

Final thoughts

Headings are one of the simplest and most powerful tools you have for improving both readability and SEO. They guide your readers through your content and help search engines understand what each part of your page is about.

Use one clear H1 to define your topic. Use H2s to structure your main ideas. Use H3s where they genuinely improve clarity. Write your headings for people first and let optimization support that goal.

Read more: WordPress SEO: the definitive guide to higher rankings for your WordPress site

The post How to use headings on your site appeared first on Yoast.

Read more at Read More

Google AI cites retailers 4% vs. ChatGPT at 36%: Data

/0 Comments/in , /by
Google vs ChatGPT retail citations

Google cites retailers only 4% of the time, while ChatGPT does it 36% of the time. That 9x gap means shoppers on each platform get steered in very different ways, according to new BrightEdge data.

Why we care. Millions of shoppers now turn to AI for deals and gift ideas, but product discovery works differently on the two leading AI search platforms. Google leans on what people say, while ChatGPT focuses more on where you can buy it.

What each AI prioritizes. Google AI Overviews cite YouTube reviews, Reddit threads, and editorial sites, while ChatGPT cite retail giants like Amazon, Walmart, Target, and Best Buy.

Google AI Overviews prioritize:

  • YouTube reviewers and unboxings.
  • Reddit threads and community consensus.
  • Editorial reviews and category experts.

ChatGPT prioritizes:

  • Major retailer listings.
  • Brand and manufacturer product pages.
  • Editorial sources (secondary).

The citation divide. On Google, retailers appear only about 4% of the time. Its citations lean toward user-generated content and expert reviews. Google AI Overviews serve more as a research tool than a purchase assistant. Top sources included:

  • YouTube
  • Reddit
  • Quora
  • Editorial sites like CNET, The Spruce Eats, and Wirecutter

On ChatGPT, retailers appear about 36% of the time. ChatGPT acts as both the explainer and the shopping assistant, so retailer links show up far more often. Its top sources included:

  • Amazon
  • Target
  • Walmart
  • Home Depot
  • Best Buy

About the data. BrightEdge analyzed tens of thousands of ecommerce prompts across Google AI Overviews and ChatGPT during the 2025 holiday shopping season, then extracted and categorized citation sources. Domains were classified by type (retailer, UGC/social, editorial, brand) and compared across identical prompts.

The report. Who Does AI Trust When You Search for Deals? Google vs. ChatGPT Citation Patterns Reveal Different Shopping Philosophies

Read more at Read More