How to Choose a Digital Marketing Agency That Actually Delivers

You found a digital marketing agency that feels like the one.

The pitch was perfect. They “get” your goals. Their case studies are impressive.

But a few weeks later, reality starts to set in: slow responses, recycled strategies, and reports that don’t show any tangible results.

This scenario is painfully common, but it’s not inevitable.

Choosing an agency that performs as well as they sell is possible — if you know what to look for.

In this guide, I’ll cover:

  • Red flags that signal an agency might overpromise and underdeliver
  • Green flags that separate the great partners from the mediocre ones
  • Must-ask questions to help you spot these flags before you sign the contract

You’ll also get real-world advice from experienced marketing leaders who’ve seen both dream partnerships and nightmare contracts.

By the end, you’ll know exactly how to choose a digital marketing agency in 2026. One that drives results instead of draining your budget.

First up: Vital questions to ask before jumping into a partnership.

Before You Hire a Digital Marketing Agency, Ask These Questions

Finding the right agency starts with understanding what you need and why.

Do You Have Product-Market Fit and a Clear Target Audience?

Even the best agency can’t sell a product that doesn’t solve a real problem for a defined audience.

If product-market fit isn’t there, your results will stall.

Ask yourself:

  • What pain points do we solve?
  • Who’s willing to pay for this?
  • Who else is competing for this audience?

Use a market analysis tool like Semrush’s Market Overview to confirm there’s real, sustainable demand.

For example, a quick search for Purina pet food shows strong growth and evenly distributed traffic — a clear sign of opportunity.

Semrush – Market Overview – Summary

That’s the kind of demand signal you want before investing in outside help.

Do You Have a Clear Goal for Your Marketing Strategy?

A marketing agency can help you refine your goals.

But you’ll get better results when you already know what success looks like.

Vague goals like “increase website traffic” sound good, but they’re too broad to measure. Instead, set SMART goals — specific, measurable, achievable, relevant, and time-bound.

Smart Goals

Here’s what a SMART goal looks like in action:

“Generate 120 qualified demo requests per month within four months by improving landing page copy and optimizing Google Ads.”

Clear goals like this help you find the right agency. And give them a focus to rally around and drive results.

Do You Have the Bandwidth to Manage an Agency?

Working with an agency isn’t a set-it-and-forget-it kind of task.

Regular, consistent communication with your agency is part of this process.

Marketing Agency Commonication Loop

Sure, the level of autonomy will depend on the agency and the work.

But generally, the best agencies keep the door to conversation open.

Here’s what you can expect:

  • Provide materials and align on strategy and deliverables up front
  • Join weekly or biweekly check-ins (typically about an hour)
  • Review work and share feedback monthly

Pro tip: Assign one internal “agency owner.” Their job will be to keep decisions moving, share context fast, and unblock workflows.


Do You Know What Marketing Services You Need?

“Full-service marketing” sounds great. Until you realize you’re paying for tactics that get you nowhere.

There are many types of digital marketing agencies:

  • SEO and content: Drive organic growth through optimized content
  • PPC: Manage and optimize paid campaigns
  • Social media: Build brand awareness and affinity
  • Branding and design: Shape your visual identity and messaging
  • Video: Create video content that converts
  • Consultant: Help define priorities before execution

But before you pick one, identify what’s already working (and what’s not).

The more specific you are about your needs, the easier it is to find a partner whose strengths align with your goals.

Start by looking at your top-performing channels, campaigns, and content in analytics tools.

GA4 – Pages and Screen – Table

If content and partnerships drive results for you, that’s a hint about where to invest.

Next, check what’s working for your competitors.

For example, Semrush’s Organic Social tool reveals how your competitors generate traffic from social media.

Semrush – Organic Social – TCL & LG – Traffic Trend

And tells you exactly which platforms send the most traffic to their websites.

Semrush – Organic Social – TCL & LG – Top Sources

If others in your space are thriving on social while you’re not, that’s a clue to where you could expand.

Pro Tip: Before looking for an agency, ask yourself: Do I need strategy, execution, or both?


Is Your Internal Team Aligned on What You Need?

Clear goals mean nothing if your team isn’t aligned.

Without internal buy-in, even the best agency partnership can derail fast.

Marketing leader Eric Doty learned this the hard way.

After hiring an agency for a logo redesign (and spending weeks on revisions), leadership revealed they wanted to keep the full company name.

“In the end, we wasted around $15,000 on these iterations when all the company really wanted was to change the font.”


Avoid this by:

  • Defining who owns the agency relationship
  • Deciding who signs off on deliverables
  • Getting stakeholder input before work gets started

The 4 Quadrants of Marketing Agency Alignment

Once you’re aligned internally, you’re ready to align externally with your agency.

6 Red Flags That a Marketing Agency Will Waste Your Time (and Budget)

The sales call sounds great.

But how do you know whether the relationship will work long-term?

Don’t go in blind. Here are six warning signs and how to spot them.

1. They’re Not Willing to Invest Time in You

This isn’t something an agency will just come out and say directly. But there may be indications that they’ve currently got too much on their plate.

(And you’re about to be thrown onto the back burner.)

For one, look for a high amount of employee turnover. Employees leave when stress is high.

Check LinkedIn to learn about their employees and watch for downward growth trends.

LinkedIn – Company – Growth trends

You’ll also want to pay close attention to the discovery call.

If it’s all about them and nothing about you, that’s a sign they’re not taking the time to understand your business.

Calendly – Select a Date & Time

An agency that “yeses” you to death without adding ideas or offering pushback is another red flag.

They’re likely more focused on producing work as fast as possible than on providing a sustainable strategy.

Pro tip: Ask for a sample strategic recommendation on the call. Something lightweight like: “How would you improve our blog content?” The right agency will share high-level insights — not just a sales script.


And it’s never a good sign if they get defensive when you ask questions.

This can be an indicator that they’re not willing to invest time in the relationship.

Fractional CMO Amanda Milligan has had this experience.

Here’s her agency horror story:

I once hired an agency to help run paid social ads, and they did the absolute bare minimum. I had to point this out to get any attention, and by then, our three-month trial engagement was practically over, and we saw no results. While I don’t know for a fact it’s because we were on the lower end of their engagement value, it seems likely.


Looking at recent testimonials or mentions of the agency can help.

Recent testimonials

But sometimes, asking pointed questions is the best way to get an answer.

For example:

  • What’s your typical engagement type?
  • How long are your typical engagements?
  • How many clients does your team normally work with at once?

By asking these questions, you’ll get a better sense of the agency’s bandwidth.

2. Their Offerings Haven’t Evolved (or Have Evolved Too Much)

It’s no secret that marketing has evolved over the past few years.

And AI has only accelerated those changes.

So, if an agency hasn’t evolved its strategy to match the industry, it’s a sign they’re coasting on an outdated approach.

Want to find this out before the discovery call?

First, check the age of their case studies. Older case studies indicate a strategy that hasn’t changed.

Older case studies

Next, look at the wording on their services page.

If it sounds generic or dated, that’s a red flag.

In the example below, wording like “Taking over Google” is no longer fully relevant.

Plus, there’s no mention of local search or AI results.

(Which is odd, since they target local businesses.)

Pro tip: Trend chasing is another huge red flag. If you see a digital marketing agency that’s majorly pivoted without the data or case studies to back up those decisions, then you may want to steer clear.


Make sure they’re thinking ahead — not clinging to old playbooks — by asking:

  • How have your offerings changed in the past year?
  • How has your process changed since AI came on the scene?
  • How much does your team use AI when creating deliverables?
  • What’s your perspective on marketing in the AI era?

3. They Won’t Allow for a 30-Day-Out Clause

Agencies don’t want to get burned.

But you don’t want to get stuck in a relationship that’s not working.

Shorter contracts may not have an out clause. But if you’re getting ready to sign a contract for a year or more, and there’s no way out of that relationship, that could be a red flag.

SEO Services Agreement

For longer contracts, a 30-day out clause is typical. That means you both can leave the contract if things aren’t working out.

If you ask for this clause and the agency is pushing back hard, that’s a warning sign.

Amanda agrees:

No failsafe means the agency knows retention is a problem. And they may be more focused on cash flow than results.


Again, communicating clearly is important here.

When in doubt, ask the digital marketing agency these questions:

  • How have you handled failed campaigns in the past? Did you course-correct mid-campaign, or offer free revisions?
  • What barriers to success do you see with our engagement?
  • What’s your policy for a 30-day out in the contract?

4. Communication Isn’t Clear or Easy

The way your agency communicates during the discovery phase is a key indicator of how they’ll communicate once that contract is signed.

Here are some key warning signs you could see early in the process:

  • You have to chase them for updates or next steps: If getting in contact with the agency is hard before you sign the contract, don’t expect it to improve later on.
  • You can’t get clear answers to your questions: Asking about timeline, resources, and processes is normal. If they can’t give you straight answers to basic questions, beware.
  • You have no idea who you’ll be working with: It’s typical to talk to a salesperson or account manager in the early stages. But if you get pushback when asking to speak to the people you’ll be working with, that’s a red flag.

Chelsea Castle, head of brand and content at Close, experienced this firsthand.

Here’s her agency horror story:

One of my biggest career mistakes was not speaking up sooner and louder about yellow flags with an agency. From the initial meeting, something felt off in our communication. There were bumps and issues throughout the entire nine-month engagement. We didn’t love the output, and they weren’t doing things we suspected they should be doing.

Collaboration and communication were messy. We ended up firing this agency and losing the five figures spent on them, which left us with no completed work. Talk about a challenging conversation with your CEO!


To know more about communication before signing the contract, ask questions like:

  • Who’s my main point of contact with your agency?
  • Who’s going to be working on the project with me?
  • Who will be included in the check-in meetings?
  • At what points in the process do you track metrics to assess if we’re on the right track?

5. They Promise More Than They Can Reasonably Deliver

Overselling can lead to disaster down the road. But, how do you know if an agency is selling something they can’t deliver?

First, look at the language they use to describe their services or results.

If they make exaggerated claims or promises, it’s worth pausing.

For example, this agency’s website has red flags written all over it:

Website – Red flags

(I wish this were a made-up website, but it’s not.)

Claims like this sound great, but it’s important to take a step back and look at the facts.

  • Can they actually back up their claims with real examples?
  • Can they reasonably guarantee results without knowing anything about the potential client?

Danni Roseman, a brand manager at a SaaS company, hired an agency that promised the world but didn’t live up to expectations.

I assumed a team would handle our project. We later found out that only one person had the expertise we needed. It wasn’t enough. Deadlines slipped, quality dropped, and “edits” turned into full rewrites on our end. Hand-holding your agency isn’t part of the deal.


An agency that’s focused on revenue may sell more than the team is capable of doing, and you’re left with the aftermath.

Another side to this is whether the team has experience using or integrating with your tech stack.

Eric once worked with an email marketing agency that promised big things.

But ended up having no experience integrating with Microsoft Teams (a must-have for his company).

They decided to lead a procurement process for us to find a tool that integrated with Teams. This turned into a massively bloated project, when, really, they should’ve just told me from the get-go that they had no experience with this tool.


So, how do you make sure that what the sales team is offering can actually be delivered down the road?

First, ask pointed questions like:

  • Who on your team has experience working with the tools in our tech stack?
  • How much experience does your team have with these tools?
  • How many years of experience does the team have in this type of project?
  • What’s the project (within the type of service you’re looking for) that you enjoyed working on the most?
  • Can you give me some names of people I can talk to about your work?

Lastly, get references.

The sales team is going to say everything right. You need something solid to back up those claims.

Further reading: 12 Best SEO Tools


6. Their Process Is a Big Black Box

Most agency websites say some version of “We do X for Y.” But can they explain how?

This is something you can check for on their website.

For example, what do their case studies look like? Are they just screenshots, or do they explain the process behind the work?

Here’s an example:

Example of case studies

What looks impressive at first glance melts away when you realize these are just screenshots.

No discussion of the work, no explanation.

Here are some other warning signs to look out for:

  • Their process isn’t up for discussion: If an agency tells you anything along the lines of, “Trust us, we’ll handle it,” beware
  • They’re using the same templated strategies for every client: On the discovery call, are they bringing ideas to the table? Do they take your unique situation into account?
  • Their reporting is focused on big-number vanity metrics: Case studies with numbers are great. But do those numbers tell you a story of real impact?
  • They can’t explain why something worked: This could mean the team has little understanding of the mechanics behind the results

Email marketing services

If you’re not sure about their process, ask questions like:

  • How do you approach new engagements?
  • How much time do you spend determining strategy?
  • How is the strategy adjusted as time goes on?
  • How often will we meet for check-ins?
  • Can you tell me about a project you worked on (in this vertical/type) that didn’t go well? How did your team handle that situation?

When you’re evaluating an agency, Chelsea’s advice rings true:

Ultimately, I think the biggest flag cannot be said; it can only be felt. Intuition and how you connect with someone are crucial in selecting and building long-lasting external relationships.


6 Green Flags You’ve Found a High-Performing Marketing Agency

Despite the horror stories we’ve discussed, great agencies do exist.

Here are the most common green flags — and tips for choosing a digital marketing agency that will actually deliver on its promises.

1. They Start with Questions, Not Tactics

The right agency feels like a partner.

They’re curious about your business and invested in your success.

On the discovery call, look for all of these green flags:

  • They start by asking deep questions about your business model, ICP, positioning, and goals
  • They’re comfortable pushing back respectfully if a strategy doesn’t align with best practices
  • They focus on how their work ties to your business outcomes, not vanity metrics

For example, KlientBoost, a PPC agency, doesn’t just offer standard strategy packages.

They ask questions about what the client needs, their goals, and their situation.

KlientBoost – Pricing

This information lets them tailor quotes to each client’s needs.

2. You Get Good Feedback From Third Parties

Good feedback, testimonials, and reviews are always a green flag.

First, check vetted, third-party review sites like Clutch.

Look for reviews that mention:

  • Quality of the digital marketing agency’s work
  • Communication style
  • Costs
  • Timing

Clutch Inbox Army – Reviews

Some reviews even include specific numbers and results.

Clutch – Review example

Another way to get feedback is to ask your network.

Ask around in your favorite Slack communities and check on Reddit or LinkedIn.

You’ll learn who’s worked with this agency and what their impressions are.

Slack – Community impressions

Chelsea swears by using your network to find good agencies.

The best hires for me have almost always come through network referrals. When a trusted friend or colleague makes a recommendation, they’re risking their reputation to vouch for them. So you can be confident they’re worth your time.


What should you do if you don’t have any network recommendations?

Check out industry award winners, says Chelsea:

When I needed to hire a web design agency, I looked at Webflow’s Webby winners. While many great agencies don’t get awards like this, it was a sure bet to start my search by looking at those recognized in this credible, trustworthy way. I ended up finding a fantastic partner who was great to work with.


Within awards like Webby, you’ll find some incredible projects (and the agencies that made them happen).

Websites & Mobile Sites

Pro tip: Browse Semrush’s Agency Partner directory to find top agencies in your area and read real client reviews.

Semrush – Company list – US


3. The Full Team Will Be Involved in Communication

Knowing who’s involved in your project can help you have more confidence in the work being done.

Plus, if it’s easy to talk to the team before the project gets started, it’s a good sign that communication will be top-notch after the contract is signed as well.

Ask early on who will be on calls with your team.

If you find out it’s more than just one account manager, that means multiple people are invested in your engagement.

For example, check out this about page from content agency Beam:

Beam Content – Meet the team

You see the founders of this team.

But you also see the content producers and their social profiles. This level of transparency is a green flag.

4. They’re Transparent About Scope, Pricing, Timing, and How Work Gets Done

Your agency should be very clear about vital details upfront.

This includes:

  • The scope of the projects they do
  • Timing they can commit to
  • Any processes they use

For example, KlientBoost creates marketing plans for clients.

But even before you give them any information or sign up for a call, they show you a sneak peek of what a marketing plan looks like for their clients.

KlientBoost – Marketing plan

Another aspect of transparency is pricing.

Knowing what you’ll pay (and exactly what that cost includes) is essential to the project’s success.

That’s why some agencies, like A2Media, show their pricing right on their homepage:

A2Media – Pricing

Of course, not every agency lists its pricing publicly.

And there are plenty of different pricing structures, each with its pros and cons.

Black Propeller – Pricing structure

When talking about rates, ask the agency why they take the approach they do.

Get estimates for what each type of project entails.

If you’re comfortable with those ranges and estimates, include those in the contract.

When you can get clear answers to these questions, it’s a good sign they’ll live up to their promises.

5. Their Own Marketing Is Top Notch

When you find an agency you like, check out their marketing.

Most of the time, it’s a good indicator of the quality of their work.

In the past year, I’ve had two fantastic experiences with marketing agencies.

And both of them had one key aspect that was a huge green flag for me: their brand marketing was on point.

Take A2Media, for example.

The founder, Ademola, regularly produces video content on LinkedIn that generates strong engagement with his niche audience.

LinkedIn – Ademola – Video content

Another example is Beam.

They offer great content services to clients.

But they also produce fantastic content on their own website that’s both interesting and fun to read.

Beam – Interesting & fun content

This pattern repeats itself over and over again.

KlientBoost’s LinkedIn video ads aren’t only hilarious but also deeply relatable.

LinkedIn – KlientBoost's video ads

Juice, a brand and web agency, has an incredibly stylish and fun website.

Juice – Agency homepage

If they do great work for themselves, it’s a positive sign they’ll do great work for you.

6. Your Personalities Match

Yes, personality is subjective. And judging a marketing agency on “vibes” might sound a bit woo-woo.

But remember, this is a relationship. Hopefully, a long-term one.

So, the right agency should also match your style and get your vision.

Here are some green flags when it comes to personality match:

  • Their team seems genuinely excited about your product and mission
  • They treat your team members with respect, regardless of title
  • Their company culture aligns with yours
  • You enjoy working with them
  • They make collaboration energizing, not draining

Chelsea saw a personality match early on with a video agency, which gave her the confidence to move forward.

From the very first call, it just felt right. The agency owner and I instantly clicked and saw eye to eye on many things. He asked thoughtful, intentional questions that signaled respect, expertise, and a desire to find the best way to work together that prioritized me and my team. We’ve been working with this partner for more than a year, and have every intention of holding onto them for as long as we can.


Bonus: They Have Proven Expertise in Your Vertical

We’ve covered the most vital factors to evaluate when choosing a marketing agency partner.

But niche experience is worth considering, too.

While it’s not a necessity, it can be a really great bonus when combined with what we’ve discussed above.

For example, this agency focuses on dental practices:

Wonderist Agency – Dental marketing

While this agency focuses on marketing for law firms:

WEBRIS – Marketing for law firms

From just those two websites, it’s clear that their approach, strategy, and personality are very different.

And they’re each uniquely qualified to help clients in their chosen industry.

Other agencies may not have experience in your specific vertical. But they can demonstrate proven experience in the services you need.

For example, let’s say you want an agency that can help you show up in AI responses.

Then, you come across a case study like this:

Single Grain – Case studies

Obviously, this agency has adapted its services to include AI search.

And has proven expertise in exactly what you need.

Ready to Choose a Digital Marketing Agency? Trust the Patterns (and Your Gut)

Choosing the right marketing agency comes down to spotting patterns.

  • Red flags: Overpromising, poor communication, and teams that won’t invest time in your success
  • Green flags: Thoughtful questions, killer third-party reviews, and teams that practice what they preach

But don’t forget the value of your gut reaction.

If something feels off during discovery, it won’t magically disappear once the contract is signed.

The best agency relationships start with a genuine connection.

As Chelsea says, “In any kind of creative work, sometimes you really do just have to go off vibes.”

When you find a team that gets your vision, respects your goals, and makes collaboration energizing, that’s your signal to move forward.

Before you head into discovery calls, read 5 Crucial SEO Trends (and How to Adapt).

Understanding what’s happening in SEO will help you ask better questions. And spot whether agencies are using outdated tactics or staying ahead of the curve.

The post How to Choose a Digital Marketing Agency That Actually Delivers appeared first on Backlinko.

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AI SEO Myths, Debunked: A No-BS Guide For Marketers

Marketers are making bold statements about AI SEO every day.

The problem?

Most of them are half-right at best.

“SEO is dead.”
“Long-form content is pointless.”
“AI SEO is just good SEO.”

Statements about AI SEO

Here’s the truth:

When it comes to AI, the answer is rarely that simple.

Are you trying to show up in ChatGPT or Google’s AI Overviews?

Do you want the AI to recommend your brand or cite your content?

Is the model pulling from training data or live web results?

Each of those questions has a different approach.

Trying to generalize only causes confusion.

So, let’s skip the hype and get specific.

This guide tests today’s biggest AI myths in SEO to uncover what’s true, what’s false, what’s complicated, and what all of it really means for your marketing strategy.

1. True or False: SEO Is Dead

False.

SEO still isn’t dead.

It’s just harder than it used to be.

This is where SEO is now

AI Overviews are stealing clicks.

Content volume has exploded.

And search behavior has fragmented.

Modern Search Journey

But that doesn’t mean SEO is dead.

What’s Actually Happening

The global SEO market is still growing at 16.7% a year.

SEO Industry Growth Projection

And Google Search itself continues to expand, according to Exploding Topics.

Google Daily Searches Growth

Also, so far it looks like AI tools are adding to search, not replacing it.

A Semrush study of 260 billion clicks found that Google usage stays steady — and even increases — after people start using ChatGPT.

Google usage stays steadyGoogle usage stays steady

That pattern makes sense when you think about how people actually use AI tools.

If you ask ChatGPT for “the best email marketing tools,” you’ll get a solid starting list.

But people often still return to Google afterward to compare pricing, read reviews, or see what others are saying.

Here’s the catch:

Sticking with traditional SEO alone is not a safe bet.

Semrush data predicts that, if current trends continue, AI search will overtake traditional search by 2028.

Google and LLM Unique Visitor Growth Projection (Moderate Case)

But even before AI went mainstream, people were searching beyond Google.

Back in 2022, Google data showed that about 40% of younger users preferred TikTok and Instagram for local searches.

Today, the search journey spans dozens of surfaces: Google, YouTube, TikTok, Reddit, Amazon, LinkedIn — and now, AI tools.

How People Search in 2025

SEO still drives discovery. It’s just one piece of a bigger visibility puzzle.

The future isn’t search engine optimization.

It’s search everywhere optimization — showing up wherever your audience looks for answers.

Takeaway: SEO isn’t dead. It’s diversified. Win by thinking beyond Google.


2. True or False: AI SEO Is Just Good SEO

True. And also false.

The fundamentals of SEO still matter.

But “just doing good SEO” won’t get you visibility in AI answers. That’s another AI myth.

What’s Actually Happening

Traditional SEO factors (metadata, structured HTML, schema markup, freshness) still help AI systems find your pages.

But AI answer engines trust what others say about you more than what’s on your own site.

AI analytics firm AirOps found that 85% of brand mentions in AI search come from third-party domains, not owned pages.

Off-Site Visibility in AI Search report

But that doesn’t mean on-site SEO no longer matters.

It’s the foundation of AI visibility.

AI engines are more likely to cite technically clean, current pages. They look for:

  • Metadata (title tags, meta descriptions, canonical tags)
  • Freshness signals (updated dates, last-modified tags)
  • Semantic HTML (clean heading hierarchy, proper use of <p> and <section>)
  • Schema markup

Side note: Google has confirmed that schema markup can help with AI visibility in its own products. It’s not a guarantee, but it’s smart technical hygiene. And it’s likely to become even more important as AI evolves.


That means your ranking foundation still matters, but it’s no longer enough.

AI visibility comes from combining:

  • On-site clarity: Technically optimized, easy-to-parse content
  • Off-site credibility: Brand associations built through mentions, citations, and expert recognition

Takeaway: SEO fundamentals get you indexed. Off-site authority gets you cited. AI SEO is about expanding what “optimization” means beyond your own site.


3. True or False: All AI SEO Works the Same

False.

Marketers talk about “showing up in AI answers” like it’s one game.

It’s not.

Google dominates the search landscape so much that traditional SEO is pretty unified — one platform, one algorithm, one analytics dashboard.

But there’s no single kind of AI visibility and no single playbook for earning it.

What’s Actually Happening

Every AI platform behaves slightly differently.

They draw from unique data pipelines, weigh off-site signals differently, and credit sources in their own ways.

For example, Google’s AI tools still echo its ranking system.

Originality.AI found that many Google AI Overviews come from the top 10 ranking pages.

Many Google AI Overviews come from the top 10 results

Other platforms look completely different.

Nearly 90% of ChatGPT citations come from pages ranked 21 or lower in Google.

Ranking Positions of LLM-Cited Search Results

But for brand mentions (answers that refer to your company), ranking seems to have more of an impact on ChatGPT.

Brands that rank on page one of Google show up more often in ChatGPT answers. Seer Interactive found a 0.65 correlation between high rankings and brand mentions.

Correlation of LLM Mentions by SERP Factor

In other words, if HubSpot ranks on page one for “CRM software,” ChatGPT is more likely to name it when users ask for the best CRMs.

Takeaway: Each platform plays by slightly different rules. Treat AI SEO like an ecosystem, not a checklist.


4. True or False: If You’re Cited by AI, You’ll Also Get Mentioned

Mostly false.

Mentions and citations aren’t the same thing — and one doesn’t guarantee the other.

  • Mentions = when your brand appears in the answer
  • Citations = when your content is trusted as a source

AI Search Visibility

You need both to stay visible long term.

What’s Actually Happening

If you had to choose, being mentioned matters more in the short term.

When someone asks ChatGPT for “the best CRM for small businesses,” you want your brand to show up, even without a link.

But long-term visibility compounds when you’re both seen and trusted.

Brands that are both mentioned and cited appear 40% more often in repeat AI searches, AirOps found.

Mentions Signal Staying Power

And that’s harder than you might think.

According to Semrush’s AI Visibility Index, fewer than 1 in 10 brands appear in AI answers as both mentioned and cited.

Semrush – AI Visibility Index Study – Source-Mention Overlap

Most only get one: they’re either mentioned without a link or cited without being named.

For instance, if I look up “What’s the best HR software for small businesses?” I get the following response from ChatGPT:

ChatGPT – Best HR software for small businesses

Of all the responses, only Rippling was mentioned as a good choice of software and cited as a source.

ChatGPT – Sources

Getting mentioned and cited consistently means playing a longer, smarter game.

To win both, you need to shape the way AI systems talk about your brand.

Earn mentions through off-site authority — PR, reviews, credible partnerships — and citations through trustworthy, reference-worthy content.

Takeaway: Mentions get you visibility. Citations earn you trust. You need both to last.


5. True or False: AI Engines Don’t Care About E-E-A-T

It’s complicated.

AI engines tend to cite pages that look trustworthy: clear sourcing, visible citations, and credible domains.

In other words, they look for the same things as Google’s quality control agents: experience, expertise, authoritativeness, trustworthiness (E-E-A-T).

What is E-E-A-T

It’s possible to get short-term wins with content optimized for large language models (LLMs) that skip traditional E-E-A-T.

But in the long term, trust signals still matter.

What’s Actually Happening

Google’s AI systems explicitly reference content quality and credibility when choosing what to cite.

Their guidance on “helpful, reliable, people-first content” directly ties to E-E-A-T.

How to appear in AI features


That means E-E-A-T signals still influence what gets surfaced in AI Overviews.

Outside Google, the pattern holds.

Different models vary, but most lean toward higher-quality, more credible domains.

For example, a 2025 study by PR platform Muck Rack found that 49% of AI citations came from trusted news outlets.

It’s not a formal E-E-A-T score, but it points in the same direction: engines reward credibility.

There are exceptions, though.

This may be because of the query fan-out process.

When AI engines use query fan-out, they break one question into many.

How LLM Query Fan-out Works

If a short page or definition answers a single sub-question directly, it might get pulled into that specific part of an AI answer.

Still, those are situational wins, not a replacement for authority.

And there’s more nuance here:

The Muck Rack study found that when questions got subjective — like asking for advice or step-by-step guidance — AI models pulled more from corporate blogs than authoritative news sources.

Muck Rack – Study

And SurferSEO also found that AI overviews often cite community sources like YouTube, Reddit, and Quora.

Top Domains Cited in AI Overviews

But, whether the LLMs are looking at official news sites, corporate blogs, or community sources, they consistently preferred credible content.

Credibility takes different forms. But AI systems pull from sources people trust most, whether institutional or experiential.

Clarity and organization make you easier to cite, but credibility will keep you there.

Plus, E-E-A-T keeps your content people-friendly as well as AI-friendly.

Takeaway: E-E-A-T still matters. It just needs to be paired with structured, clearly scoped content that AI systems can read and reuse.


6. True or False: Content Recency Matters Even More for AI Visibility

Mostly true.

Keeping content up to date has always been best-practice SEO.

And it’s also important for AI visibility on most of the public platforms.

But the relationship between freshness and visibility isn’t one-size-fits-all.

What’s Actually Happening

Seer Interactive found that nearly 65% of AI bot visits go to content published in the last 12 months.

Strong Content Recency Bias in LLMs

I checked this out for myself using ChatGPT. I asked the query:

How do I create an AI-optimized content strategy?


Then, I asked:

Can you show me the sources you used for that answer?


And it returned:

ChatGPT – Sourcesvwith Links & Dates

The earliest resource was from 2023.

(It didn’t find a date for the Airtable and RevvGrowth articles because they weren’t “visible in the header.”)

Finally, I asked why it chose those sources to answer the question.

It returned:

ChatGPT – Summary table

Note: It listed recency as its top criteria.


But there’s some variation in how important recency is.

Seer Interactive found that freshness matters most in fields like finance, HR, and tax, where outdated data loses credibility fast.

In travel, the window is broader.

Evergreen guides (“best destinations for weekend city breaks”) still perform, but regular updates help maintain visibility.

Travel Industry LLM Content Strategy

And in energy, for example, relevance often beats recency. Educational, evergreen pages (“green vs. renewable energy”) continue attracting AI hits years after publication.

Even instructional content in slow-moving niches can perform long after it’s published.

Seer found AI bots still visiting decking tutorials written 10–15 years ago — proof that quality evergreen content can still hold its ground.

Takeaway: Fresh content gets more bot activity. But credible, well-maintained evergreen pages still win trust. Especially when they’re the best answer for the human behind the query.


7. True Or False: Long-Form Content Is Pointless to Create Now

False.

Many marketers are making a simple mistake:

They hear “AI prefers short answers” and conclude “AI prefers short content.”

AI is more likely to use or cite content that is structured so it’s easy to understand.

But that’s not about length. That’s about structure.

What’s Actually Happening

AI systems don’t skip long pieces.

They skip messy pieces.

Content passages with clear headings helps models scan, interpret, and extract the right snippets.

There’s nothing to say your content needs to be short.

Example: Ask ChatGPT for “the best resources to learn SEO,” and you’ll often see Backlinko mentioned.

ChatGPT – Best resources to learn SEO

Those guides are deep, not brief.

They’re cited because they give a complete answer in a format both humans and models can follow.

Long-form content also compounds your odds of being mentioned.

AI visibility is a probability game.

The more your content earns human discussion, the more likely it is to appear when AI answers a question.

And humans don’t rave about shallow content.

People share and reference the pieces that teach them something new: frameworks, research, comparisons, stories.

Cutting them down for AI only strips out the context that makes your brand trustworthy.

Takeaway: Long-form isn’t outdated. It’s still a way to build authority, trust, and the kind of signal both readers and AI models rely on.


8. True or False: You Should Skip the ToFu Content Now

False.

This is one of the most persistent AI myths in content marketing.

“If AI answers everything, why bother with top-of-funnel (ToFu)?”

But ToFu content still matters. It just has a new job.

In the past, you could publish a big guide like “What Is SEO?” and watch it climb the rankings.

Those broad, educational posts drove traffic because people had to click through to learn.

Now, AI Overviews and large language models answer those same questions right on the results page.

Google SERP – What is SEO – AI Overview

But that doesn’t mean top-of-funnel content is dead.

It just means it’s working differently.

What’s Actually Happening

ToFu content isn’t the traffic engine it once was.

But it still powers two things your marketing ecosystem depends on: awareness and authority.

ToFu Builds Awareness

ToFu content helps new audiences discover your brand, even if they don’t click.

When someone searches “What is the best time to send marketing emails?” and sees your brand name in a featured snippet or short summary, that’s still visibility.

Google SERP – Best time to send marketing emails

It’s like a digital billboard.

People might not visit your site right away, but they’ll start to recognize your name the next time they see it.

The more consistently your brand shows up around key industry topics, the more familiar it feels to your future buyers.

That awareness pays off later when they’re comparing vendors or deciding who to trust.

ToFu Earns Credibility

Google and AI systems both reward depth of coverage.

They look for brands that explain an entire topic — not just their own product.

A Search Engine Land analysis of 8,000 AI citations found that AI systems repeatedly pull from in-depth, trusted sources, not surface-level articles.

If your site only has bottom-of-funnel pages like “Why Choose [Your Product],” algorithms see a narrow view.

But when you also publish foundational explainers and educational content, it shows that your brand understands the full landscape.

That matters for AI visibility too.

Takeaway: ToFU content strengthens your overall site signals. Even if ToFu posts don’t drive conversions, they reinforce your brand’s expertise across the funnel.


9. True Or False: You Should Publish 10x More Content with AI

False.

In theory, more content should mean more visibility.

In practice, that’s not what’s happening.

Teams feel pressure to publish faster because AI makes production easier.

But volume isn’t the same as reach.

Most scaled AI content dies in search before it ever earns authority.

What’s Actually Happening

Graphite, an AI growth agency, found that AI-generated articles overtook human-written ones in late 2024.

AI Content vs. Human

But growth has stalled since then.

Maybe because marketers have learned a simple truth:

Those posts rarely show up in Google results or AI citations, as Graphite’s research shows.

AI Content Image

AI content may be faster and cheaper, but it’s not being seen.

Publishing in bulk can give a brief traffic lift.

More indexed pages mean more impressions — for a moment.

But that growth rarely lasts.

Google’s March 2024 Core and Spam Updates cracked down on scaled content.

Google – Scaled content abuse

AI platforms seem to be taking the same approach. They reward original insight and authority, not sheer output.

Takeaway: If you want visibility in both Google and AI search, slow down and build credibility.


10. True or False: High-Quality Content Is All You Need to Appear in LLMs

It’s more complicated than that.

Many marketers assume that if they simply create great content, AI tools like ChatGPT, Perplexity, or Gemini will automatically surface it.

But “great” isn’t enough.

High-quality content is a requirement. It’s what gets your pages seen, crawled, and trusted in the first place.

But visibility in AI search depends on something bigger: how consistently your brand is referenced and recognized across the web.

What’s Actually Happening

LLMs generate responses using two data sources:

  • Training data: The static dataset the model was trained on months (or years) ago
  • The live web: Real-time crawling and retrieval from indexed pages, like Google AI Overviews or Perplexity

Each system rewards a different kind of visibility, and each treats “quality” in its own way.

Training-data systems reward brand association.

When a model relies on its training data, it draws on patterns it has already learned.

That includes which brands are consistently associated with which topics.

If your brand’s name and theme appear together across thousands of credible pages, that association becomes part of the model’s long-term memory.

For example, Canva is strongly associated with “simple design.” So, if you ask ChatGPT “What is the simplest design program?” it’s probably going to answer Canva.

ChatGPT – The simplest design program

That’s how brands build “semantic ownership” of an idea.

Over time, those associations become the model’s defaults, a durable moat that competitors can’t easily displace.

Quality still matters here.

It determines whether people read, share, and cite your work — the human behaviors that create the signals AI later learns from.

Meanwhile, web-indexed systems reward structure and authority.

When an AI system relies on live web data, the process looks more like search.

Models retrieve pages in real time, parse structure, and extract concise, factual snippets.

In this environment, “quality” means clarity, structure, and credibility.

For example, if someone asks an AI tool “best CRM software for small business,” the model pulls from pages that look like strong search results.

In this case, that would probably be list posts with clear headings, comparison tables, and trustworthy sources.

A messy blog without structure or citations wouldn’t make the cut.

Takeaway: High-quality content is your ticket in, not your winning hand. Authority, structure, relevancy, and consistent brand signals are what actually get you cited in LLM answers.


How to Level Up Your SEO Strategy for AI Visibility

You’ve seen the myths. You understand the reality.

Now, here’s what to actually do about it.

The good news? You don’t need to blow up your entire SEO strategy.

Most of what you’re already doing still works.

You just need to expand where you’re looking and what you’re measuring.

Start Measuring What You Can’t See

Your analytics are lying to you by omission.

When someone discovers your brand through ChatGPT and visits you three days later, it shows up as direct traffic or a branded search. Zero attribution to the AI mention that started the journey.

Claude – Traditional Google Search vs ChatGPT Response

So you’ll need to:

Track the indirect signals.

  • Rising branded searches while organic clicks decline? That could be LLM discovery.
  • Direct traffic holding steady despite fewer Google clicks? Same thing.
  • Sales calls where prospects say “found you through AI”? You’re getting cited.

Use dedicated AI tracking tools.

Options include Peek.ai and ZipTie.Dev. For more comprehensive features, Semrush Enterprise AIO is a good option, especially if you need full-funnel visibility and advanced reporting.

Semrush AIO – Backlinko – AIO Overview

Build Authority in Overlooked Spaces

Build authority in the long-tail spaces where AI systems are already mining for answers.

Pick one narrow topic and own it completely.

Not “email marketing” — think “email deliverability for SaaS companies sending 100K+ messages monthly.”

To understand the types of prompts your audience uses in LLMs, use the Semrush AI Visibility Toolkit.

It surfaces real prompts from a large database and organizes them by search intent.

Semrush – AI Visibility Toolkit – Backlinko – Your Performing Topics

Publish multiple angles: beginner guides, advanced tactics, case studies, and common mistakes.

When AI systems look for expertise on that specific topic, you want your brand to dominate the conversation.

Get Cited Where Your Competitors Already Are

LLMs pull from expert clusters: groups of authorities that consistently appear together.

Here’s how to join that circle:

  • Guest post strategically: Target sites that already cite your competitors in AI answers
  • Participate in expert roundups: Even without a backlink, these mentions feed the associative web that LLMs learn from
  • Show up in communities: A thoughtful Reddit comment or detailed LinkedIn post can carry citation weight

Reddit – Shared experience comment

Create Content Worth Citing

Be structured, not short.

Use clear headings that answer sub-questions directly.

Chunk each section so that it can stand alone.

Chunked vs. Unchunked Content

Maintain E-E-A-T signals. Experience, expertise, authoritativeness, and trustworthiness still matter, especially for Google’s AI tools.

Life at Home – IKEA – Microsite

But pair them with clearly scoped content that AI systems can easily read and reuse.

And keep it fresh. Update stats, examples, and screenshots regularly.

Google SERP – Inspirational quotes about running

Get Your Teams Working Together

Getting cited in AI answers is a team sport.

How to optimize your website for AI search

The foundation starts with three teams working in sync:

  • Developers make your site technically accessible — clean crawlability, proper structured data, fresh metadata
  • SEOs structure content so AI can extract it — clear heading hierarchies, scannable paragraphs, strategic schema markup
  • Content teams create information worth extracting — genuine expertise, original insights, regular updates

Further reading: Check out AI Optimization: How to Rank in AI Search for more on cross-functional strategy.


Let Your Community Build Your Authority

When customers share your insights in Reddit threads or LinkedIn comments, they’re creating citation pathways that AI systems discover and value.

Create frameworks and original research people want to reference.

Reddit – Answer questions & interactions

Show up where your audience hangs out.

Contribute genuine expertise in forums and communities.

Every thoughtful answer associates your brand with your core topics.

Don’t Abandon What’s Working

Organic search remains a primary traffic driver — about 44% of visits in the U.S. in Oct 2025, according to SE Ranking.

Organic – Social – AI traffic media

So it’s a good idea to keep up your best-practice on-page SEO habits.

Keep optimizing site structure. Fix technical issues. Build backlinks from credible domains.

Think of LLM optimization as an expansion strategy, not a replacement.

Focus on Influence, Not Just Traffic

Traditional SEO measurement focuses on clicks and conversions.

LLM visibility measurement focuses on influence created.

Track metrics that matter for long-term influence:

  • Visibility score changes across different LLM models
  • Branded search growth (the downstream effect of AI discovery)
  • Market share shifts vs. competitors in AI answers

Competitor Comparison – Brand Share of Voice over time

When you see visibility increases, correlate them with branded search spikes in Google Search Console (GSC) to estimate real business impact.

AI SEO: Trust Data Over Hype

LLMs are evolving fast. So are the rules that shape visibility.

That’s why myths about AI don’t hold up.

The truth is more nuanced.

So don’t chase every new “AI SEO hack.”

Follow marketers whose opinion you already trust.

Then test, track, and adapt based on what actually moves the needle for your brand.

Want to go deeper?

Check out our full AI Search Strategy Guide and learn how to get your brand both mentioned and cited.

The post AI SEO Myths, Debunked: A No-BS Guide For Marketers appeared first on Backlinko.

Read more at Read More

ChatGPT, Perplexity push deeper into AI shopping

AI shopping ecommerce

In the last 24 hours, ChatGPT and Perplexity have introduced new AI-driven shopping experiences that aim to deliver more personalized product discovery and guidance. Both experiences are meant to help users find, compare, and purchase products through conversational queries informed by preferences and past behavior.

ChatGPT

Shopping research. OpenAI introduced shopping research, a guided buying experience that turns ChatGPT into a personalized product researcher.

  • Users describe what they need (e.g., “quiet cordless vacuum,” “compare these strollers,” “gift for my art-obsessed niece”).
  • ChatGPT asks clarifying questions, pulls price/spec/review data from the open web, and produces a tailored buyer’s guide in minutes.
  • It adapts based on your preferences and ChatGPT memory, and can refine picks in real time as users mark items “More like this” or “Not interested.”

How it works. The feature runs on a specialized GPT-5 mini model optimized for shopping tasks, designed to pull reliable information from trusted sites and cite its sources.

Rollout. Available now on free and paid ChatGPT plans on web and mobile, with “nearly unlimited” usage through the holidays.

What’s next. Instant Checkout integrations will allow purchases directly inside ChatGPT for participating merchants.

Perplexity

New shopping experience. Perplexity launched a free U.S. shopping experience built around its core philosophy: AI assistants should scale a shopper, not replace them.

  • Users search conversationally (e.g., “best winter jacket for San Francisco ferry commute”) and Perplexity keeps context as you pivot to related needs.
  • It remembers preferences (e.g., mid-century modern style, minimalist running gear) and tailors future product cards accordingly.
  • Instead of infinite scroll, it generates streamlined product cards with only the details tied to the user’s stated intent.

Integrated checkout. A partnership with PayPal brings fast, in-flow purchases with retailers remaining merchant of record. That means merchants still get customer visibility, handle returns, and maintain the relationship.

Why retailers may care. Perplexity said shoppers who go through a conversational funnel have higher purchase intent, and instant checkout reduces abandonment.

Availability. The new shopping experience is live on desktop and the web now, with iOS and Android apps rolling out in the next few weeks.

Why we care. AI assistants are an emerging channel for ecommerce. ChatGPT’s focus is deep research, while Perplexity’s is smooth discovery and built-in checkout. Both aim to become the starting point for shoppers’ buying journeys by making brand/product recommendations that appear personal and tailored to their preferences.

The announcements:

Read more at Read More

Google Ads MCC takeover attacks are rising – here’s how the phishing scams work

A surge of sophisticated phishing attacks is letting scammers take over full Google Ads Manager accounts (MCCs), giving them instant access to hundreds of client accounts and the power to burn through tens of thousands of dollars in hours without being noticed.

Driving the news. Agencies across LinkedIn, Reddit, and Google’s own forums are reporting a rise in MCC takeovers, even among teams using two-factor authentication. The attackers’ preferred weapon is a near-perfect phishing email that mimics Google’s account-access invitations.

  • Victims say hijackers add fake admin users, link their own MCCs, and begin launching fraudulent, high-budget campaigns.
  • In some cases, support tickets take days to escalate while money continues to drain.
  • One agency reported “tens of thousands” in ad spend racked up within 24 hours.

How it works. The scams look like standard client-access invites – same branding, format, and copy – but the link sends users to a Google Sites page posing as a Google login screen. Once credentials are entered, the attackers get full MCC access.

Why it’s getting worse. Advertisers say the phishing attempts are now almost indistinguishable from real Google messages. Several agencies admitted they would have clicked if not for small discrepancies in the sender domain or login URL.

The impact:

  • Budgets drained: fraudulent ads run immediately.
  • Malware exposure: ads often lead to harmful sites.
  • Account damage: invalid activity flags, disapprovals, and trust issues ripple for months.
  • Operational chaos: agencies lose access to every client account under the MCC.

What Google says. The Google Ads Community team posted a What to do if your account is compromised help doc, warning advertisers about rising credential theft during the holiday season, but hasn’t acknowledged the scale of the MCC takeover surge.

Why we care. These MCC hijacks aren’t just isolated security issues – they’re direct financial and operational threats that can wipe out budgets, compromise every client account, and take days for Google to contain. With attackers now bypassing 2FA through near-perfect phishing, even well-secured teams are suddenly vulnerable. If just one team member slips, an entire portfolio of accounts – spend, performance, and client trust – is instantly at risk.

What experts recommend. Marc Walker, founder and managing director of Low Digital Ltd, shared these recommendations to keep your accounts from being hijacked:

  • Always verify the URL: Google never uses Google Sites for login.
  • Confirm invites inside the MCC, not just via email.
  • Purge dormant users and inactive accounts to reduce attack surfaces.
  • Educate teams on phishing red flags, especially during high-volume holiday outreach.

Between the lines. If even one user in a large MCC falls for the scam, the attacker effectively acquires keys to an entire portfolio – and can drain budgets faster than Google’s support system can respond.

Bottom line. Google Ads hijacks are a serious operational threat for agencies and in-house teams. Until Google ships stronger MCC-level protections, vigilance remains the only real defense.

Read more at Read More

How To Optimize Content for LLMs: The Complete Guide for B2B Marketing Leaders

The Ground Is Shifting Beneath Your Feet Here’s the uncomfortable truth: while you’ve been optimizing for Google’s algorithm, your B2B […]

The post How To Optimize Content for LLMs: The Complete Guide for B2B Marketing Leaders appeared first on Onely.

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How to make products machine-readable for multimodal AI search

Making products machine-readable in the era of visual and multimodal AI search

As shopping becomes more visually driven, imagery plays a central role in how people evaluate products.

Images and videos can unfurl complex stories in an instant, making them powerful tools for communication. 

In ecommerce, they function as decision tools. 

Generative search systems extract objects, embedded text, composition, and style to infer use cases and brand fit, then 

LLMs surface the assets that best answer a shopper’s question. 

Each visual becomes structured data that removes a purchase objection, increasing discoverability in multimodal search contexts where customers take a photo or upload a screenshot to ask about it.

Visual search is a shopping behavior

Shoppers use visual search to make decisions: snapping a photo, scanning a label, or comparing products to answer “Will this work for me?” in seconds. 

For online stores, that means every photo must answer that task: in‑hand scale shots, on‑body size cues, real‑light color, micro‑demos, and side‑by‑sides that make trade‑offs obvious without reading a word. 

Multimodal search is reshaping user behaviors

Visual search adoption is accelerating.

Google Lens now handles 20 billion visual queries per month, driven heavily by younger users in the 18-24 cohort. 

These evolving behaviors map to specific intent categories.​

General context

Multimodal search aligns with intuitive information-finding. 

Users no longer rely on text-only fields. They combine images, spoken queries, and context to direct requests.​​

Quick capture and identify

By snapping a photo and asking for identification (e.g., “What plant is this?” or querying an error screen), users instantly solve recognition and troubleshooting tasks, speeding up resolution and product authentication.​

Visual comparison

Showing a product and requesting “find a dupe” or asking about “room style” eliminates complex textual descriptions and enables rapid cross-category shopping and fit checking.

This shortens discovery time and supports quicker alternative product searches.​

Information processing

Presenting ingredient lists (“make recipe”), manuals, or foreign text triggers on-the-fly data conversion. 

Systems extract, translate, and operationalize information, eliminating the need for manual reentry or searching elsewhere for instructions.​

Modification search

Displaying a product and asking for variations (“like this but in blue”) enables precise attribute searching, such as finding parts or compatible accessories, without needing to hunt down model or part numbers.​

These user behaviors highlight the shift away from purely language-based navigation. 

Multimodal AI now enables instant identification, decision support, and creative exploration, reducing friction across both ecommerce and information journeys. 

You can view a comprehensive table of multimodal visual search types here.

Dig deeper: How multimodal discovery is redefining SEO in the AI era

Prioritize content and quality for purchase decisions

Your product images must highlight the specific details customers look for, such as pockets, patterns, or special stitching. 

This goes further, because certain abstract ideas are conveyed more authentically through visuals. 

To answer “Can a 40-year-old woman wear Doc Martens?” you should show, not tell, that they belong.

Original images are essential because they reflect high effort, uniqueness, and skill, making the content more engaging and credible.

Source: Mark Williams-Cook on LinkedIn

Making products machine-readable for image vision

To make products machine-readable, every visual element must be clearly interpreted by AI systems. 

This starts with how images and packaging are designed.

Products and packaging as landing pages

Ecommerce packaging must be engineered like a digital asset to thrive in the era of multimodal AI search. 

When AI or search engines can’t read the packaging, the product becomes invisible at the moment of highest consumer intent. 

Design for OCR-friendliness and authenticity

Both Google Lens and leading LLMs use optical character recognition (OCR) to extract, interpret, and index data from physical goods.

To support this, text and visuals on packaging must be easy for OCR to convert into data.

Prioritize high-contrast color schemes. Black text on white backgrounds is the gold standard. 

Critical details (e.g., ingredients, instructions, warnings) should be presented in clean, sans-serif fonts (e.g., Helvetica, Arial, Lato, Open Sans) and set against solid backgrounds, free from distracting patterns. 

This means treating physical product labeling like a landing page, as Cetaphil does.

Cetaphil product packaging
Source: AdAge

Avoid common failure points such as:

  • Low contrast.
  • Decorative or script fonts.
  • Busy patterns.
  • Curved or creased surfaces.
  • Glossy materials that reflect light and break up text.

Here’s an example:

Document where OCR fails and analyze why. 

Run a grayscale test to confirm that text remains distinguishable without color. 

For every product, include a QR code that links directly to a web page with structured, machine-readable information in HTML.

High-resolution, multi-angle product images work best, especially for items that require authenticity verification. 

Authentic photos, where accuracy and credibility are essential, consistently outperform artificial or AI-generated images.

Dig deeper: How to make ecommerce product pages work in an AI-first world

Get the newsletter search marketers rely on.


Managing your brand’s visual knowledge graph

Ecommerce product images on ChatGPT

AI does not isolate your product. It scans every adjacent object in an image to build a contextual database. 

Props, backgrounds, and other elements help AI infer price point, lifestyle relevance, and target customers. 

Each object placed alongside a product sends a signal – luxury cues, sport gear, utilitarian tools – all recalibrating the brand’s digital persona for machines. 

A distinctive logo within each visual scene ensures rapid recognition, making products easier to identify in visual and multimodal AI search “in the wild.” 

Tight control of these adjacency signals is now part of brand architecture. 

Deliberate curation ensures AI models correctly map a brand’s value, context, and ideal customer, increasing the likelihood of appearing in relevant, high-value conversational queries.

Run a co-occurrence audit for brand context

Establish a workflow that assesses, corrects, and operationalizes brand context for multimodal AI search. 

Run this audit in AI Mode, ChatGPT search, ChatGPT, and another LLM model of your choice.

Gather the top five lifestyle or product photos and input them into a multimodal LLM, such as Gemini, or an object detection API, like the Google Vision API. 

Use the prompt: 

  • “List every single object you can identify in this image. Based on these objects, describe the person who owns them.” 

This generates a machine-produced inventory and persona analysis.

Identify narrative disconnects, such as a budget product mispositioned as a luxury or an aspirational item, undermined by mismatched background cues. 

From these results, develop explicit guidelines that include props, context elements, and on-brand and off-brand objects for marketing, photography, and creative teams. 

Enforce these standards to ensure every asset analyzed by AI – and subsequently ranked or recommended – consistently reinforces product context, brand value, and the desired customer profile. 

This alignment ensures consistent machine perception with strategic goals and strengthens presence in next-generation search and recommendation environments.

Brand control across the four visual layers

The brand control quadrant provides a practical framework for managing brand visibility through the lens of machine interpretation. 

It covers four layers, some owned by the brand and others influenced by it.

Known brand

This includes owned visuals, such as official logos, branded imagery, and design guides, which brands assume are controlled and understood by both human audiences and AI.

Loreal product on AI search

Image strategy

  • Curate a visual knowledge graph. 
  • List and assess adjacent objects in brand-connected images. 
  • Build and reinforce an “Object Bible” to reduce narrative drift and ensure lifestyle signals consistently support the intended brand persona and value.

Latent brand 

These are images and contexts AI captures “in the wild,” including:

  • User photos.
  • Social sightings.
  • Street-style shots. 

These third-party visuals can generate unintended inferences about price, persona, or positioning. 

An extreme example is Helly Hansen, whose “HH” logo was co-opted by far-right and neo-Nazi groups, creating unintended associations through user-posted images.

Helly Hansen on Google Search

Shadow brand

This quadrant consists of outdated brand assets and materials presumed private that can be indexed and learned by LLMs if made public, even unintentionally. 

  • Audit all public and semi-public digital archives for outdated or conflicting imagery. 
  • Remove or update diagrams, screenshots, or historic visuals. 
  • Funnel only current, strategy-aligned visual data to guide AI inferences and search representations.

AI-narrated brand

AI builds composite narratives about a brand by synthesizing visual and emotional cues from all layers. 

This outcome can include competitor contamination or tone mismatches.

Image strategy

  • Test the image’s meaning and emotional tone using tools like Google Cloud Vision to confirm that its inherent aesthetics and mood align with the intended product messaging. 
  • When mismatches appear, correct them at the asset level to recalibrate the narrative.

Factoring for sentiment: Aligning visual tone and emotional context

Images do more than provide information. 

They command attention and evoke emotion in split seconds, shaping perceptions and influencing behavior. 

In AI-driven multimodal search, this emotional resonance becomes a direct, machine-readable signal. 

Emotional context is interpreted and sentiment scored.

The affective quality of each image is evaluated by LLMs, which synthesize sentiment, tone, and contextual nuance alongside textual descriptions to match content to user emotion and intent.

To capitalize on this, brands must intentionally design and rigorously audit the emotional tone of their imagery. 

Tools like Microsoft Azure Computer Vision or Google Cloud Vision’s API allow teams to:

  • Score images for emotional cues at scale. 
  • Assess facial expressions and assign probabilities to emotions, enabling precise calibration of imagery to intended product feelings such as “calm” for a yoga mat line, “joy” for a party dress, or “confidence” for business shoes.
  • Align emotional content with marketing goals. 
  • Ensure that imagery sets the right expectations and appeals to the target audience.

Start by identifying the baseline emotion in your brand imagery, then actively test for consistency using AI tools.

Ensuring your brand narrative matches AI perception

Prioritize authentic, high-quality product images, ensure every asset is machine-readable, and rigorously curate visual context and sentiment.

Treat packaging and on-site visuals as digital landing pages. Run regular audits for object adjacency, emotional tone, and technical discoverability. 

AI systems will shape your brand narrative whether you guide them or not, so make sure every visual aligns with the story you intend to tell.

Read more at Read More

Google Business Profiles adds scheduling and multi-location publishing to Google Posts

Google Posts now supports scheduling and multi-location publishing within Google Business Profiles. This should make it easier for you to manage your Google Posts for your business(es) and client(s).

Scheduling. When you add a new Google Post within Google Business Profiles, there is a new option to “schedule this post.” You can then select a date and time for when you want the post to be scheduled.

Lisa Landsman from Google said on LinkedIn, “plan your entire week or month in advance! You can now schedule your Google Posts to go live automatically at the perfect time.”

Multi-location publishing. Also, if you manage multiple locations for a business and you want to quickly copy those Google Posts to some or all of those locations, you can now. Lisa Landsman explained, “Easily create a single post and apply it instantly to multiple business locations in one click..”

What it looks like. Here is a GIF of this in action:

Why we care. Businesses are busy and you don’t always have time to drop what you are doing to create a Google Post about a new event or message. But now, when you have time, you can pre-schedule these Google Posts at your convenience. Also, you can quickly copy them to other locations you manage.

As Google’s Lisa Landsman wrote, “We know the upcoming holiday season is a crucial, and hectic, time for your business. It’s also your biggest opportunity to get your events, offers, and updates in front of potential customers who are actively searching.”

Read more at Read More

7 Ecommerce Blog Examples + What You Can Learn From Them

In the good ol’ days of blogging, traffic was the main goal, and it was relatively easy to get.

Now, especially for ecommerce blogs, it’s getting harder to stay visible.

The number of Google searches that end with a click is slowly decreasing, while the number of searches that end with no clicks has increased.

Distribution of Google US desktop search clicks over time

While the number changes are small, they’re continuing to move in the direction of no-click searches. AI Overviews give people the answers they need at a glance, and website traffic is taking a toll as a result.

Aside from these trends in Google search, ecommerce blogs also face an uphill battle against big players like Amazon or Walmart.

With all of this in mind, you might be wondering: is it still worth the effort to build an ecommerce blog?

Here’s a real world example that shows why it still matters:

Pet care brand Petlibro has been around since 2020, but they didn’t start posting on their blog until 2022. Semrush’s Domain Overview suggests their organic growth has been pretty substantial since then.

Domain Overview – Petlibro – Organic Traffic

Their website is ranking organically for over 25,000 keywords and stands in the first result for almost 1,500 of those.

Domain Overview – Petlibro – Organic Keywords

And not only that: Petlibro is being mentioned and cited by AI search engines — more than 700 times.

Semrush – AI SEO – Petlibro – Visibility Overview

AI search references Petlibro’s blog articles and mentions the brand directly in its response.

Semrush – Visibility Overview – Petlibro – Topics & Sources

Their blog isn’t a separate entity to their ecommerce site. It’s a strategic tool that helps their brand get seen both in Google and in AI search — and get more conversions in the process.

Here’s the point: blogging is still valuable, especially for ecommerce brands, even in the era of AI search.

The difference between today and ten years ago is that the main goal isn’t traffic: it’s delivering clear, distinctive value for the reader.

Basically, you need to build something that AI can’t.

We’re going to dive deeper into ecommerce blog examples that are currently seeing big results and show you how to apply their strategies to your own brand.

What Makes an Ecommerce Blog Successful?

The more you study top ecommerce blogs, the more patterns start to emerge.

Before we explore each of the following examples in depth, keep an eye out for these key aspects of successful ecommerce blogs:

  • They know exactly who they’re talking to: All the top ecommerce blog examples we’ll discuss have a very clear target audience. And the content speaks directly to those people.
  • They understand intent: People search for certain terms just to gain information. Others search to learn about products, and others search because they’re ready to buy. The best ecommerce blogs know the difference between those different search intents. Then, they can create content that matches the intent of the search.
  • They present information in a way that’s easy to read and understand: There’s no specific format that guarantees success. But each example uses blog design essentials to make the information understandable. Their content also includes strong introductions and content that’s unique and interesting.
  • They integrate their store directly with their blog: The most successful ecommerce blogs are focused on conversions over traffic, and use smart integrations to showcase their products on the blog.
  • They prepare content to do well in the age of AI search: These blogs show up consistently in AI search by producing the kind of material AI loves to reference and mention. You’ll see how they create content that’s well structured, authoritative, and unique.

Elements of a Good Prompt

Now let’s see seven ecommerce blogs that exemplify these principles.

Ecommerce Blog Examples You Can Learn From

The goal of any ecommerce blog is to do more than just build traffic. You also want to build authority, win visibility in both Google and AI search, and nudge readers closer to buying.

The following examples cover a range of categories and company sizes. While they may not all have tens of thousands of visits per month, they’re all using their blog as a conversion tool and a way to get seen both in Google and in AI search.

And they all have something to teach you about staying visible, memorable, and findable as an ecommerce blog.

Note: We got the numbers for each of these from Semrush’s SEO Toolkit. Traffic numbers aren’t going to be 100% accurate (only the brands themselves will have the most up-to-date numbers). But it’s still useful for understanding broad trends.


1. Garmin

  • Industry: Consumer electronics
  • Organic blog traffic: 61.8K
  • Backlinks: 77.7K
  • Keywords: 46.1K

In the world of smartwatches and specialty sports gear, Garmin truly stands out. Their blog has grown consistently since mid 2022.

Domain Overview – Garmin – Organic Traffic

So, what makes this ecom blog stand out?

First off, the articles are a healthy mix of informational and commercial content.

For example, this article on finding your V02 max ranks for 4.6k keywords, and ranks #1 for 95 of those. It even shows up in the AI overview for a couple of difficult keywords.

Domain Overview – Organic Research – Garmin – Organic Search Positions

The article is a deep-dive into a complex topic their audience is interested in. And while someone searching “good v02 max” may not be immediately interested in buying a watch, Garmin still includes plenty of ways to explore their products from this blog post.

For instance, readers can see CTAs to some of their most relevant watches in the sidebar, and they also see links to product categories in the text.

Garmin Blog – Sidebar CTAs to watches

But Garmin also knows how to focus their blog on buying intent, which is why they also rank for terms like “Garmin aviation watch.”

Garmin Blog – Sidebar CTAs – Aviation watch

From this single keyword, Garmin’s article on aviation watches gets 3.7k monthly organic traffic by ranking for 63 keywords. (I guess pilots really like their watches.)

Google SERP – Garmin aviation watch

But more than just creating content for search, Garmin has cracked the code on creating content that gets mentioned by AI.

Just look at Garmin’s incredible AI visibility score, with over 52k mentions:

AI Visibility Overview – Garmin

AI search loves to highlight product information directly from the brand. Which is why Garmin’s clear, detailed support documentation appears so often in AI search results.

Visibility Overview – Garmin – Cited Pages

But their blog posts are also cited by AI to respond to product-related questions, like which smartwatch has the best battery life.

Visibility Overview – Garmin – Cited Pages – Battery

Something else that Garmin has done well is combine their content efforts on their owned channels with mentions across the web. Whether it’s tech review sites, YouTube videos, fitness blogs, or Google reviews, Garmin’s products are mentioned positively in a lot of places.

Garmin mentions across the web – Collage

The result?

Semrush’s AI Visibility Index found that Garmin ranked #4 in AI Share of Voice for consumer electronics brands. They sit right at the top with heavy hitters like Apple and Google.

Top 20 Brands Consumer Electronics

Key Lessons from Garmin’s Blog

Garmin is a multi-billion dollar company, well-known in its space. But importantly, they dominate their category. When you own a category (like smartwatches), it’s much easier for AI to surface your content and products to users.

Another company doing this is Patagonia. They dominate the category of ethical fashion, and have gained 21.96% of the AI Share of Voice (for Fashion & Apparel).

Top 20 Brands Fashion & Apparel

Another lesson from Garmin’s blog is the importance of providing clear information about your products.

AI search results tend to cite brands as authorities on their own products. But if you don’t answer the questions searchers have about your products? AI will usually attempt to base its answers on someone else’s article (whether that information is correct or not).

Finally, remember that your blog isn’t a solo marketing effort. When you partner with content creators outside your owned channels, you can expand your visibility in AI.

The more positive mentions your brand gets, the more likely you are to see yourself in AI answers and overviews.

2. Petlibro

  • Industry: Pet products
  • Organic blog traffic: 6K
  • Backlinks: 275
  • Keywords: 3.4K

We’ve already introduced you to Petlibro above: showing the power of blogging for ecommerce brands. Not only do they show up in search results, Petlibro’s blog posts are also being cited and mentioned by AI.

Take this post for example:

Petlibro – Blog post

This informational post answers the question of how often to change the filters in a cat fountain. It’s not too long, but it answers the question clearly and gives just the right amount of detail.

So, along with ranking for 44 different keywords, it’s also showing up inside the answers given by ChatGPT and other AI search tools.

Semrush AI Overview – Petlibro – Prompt

Another post, explaining why cats bring you toys, ranks in the top 10 for 14 keywords, and appears in the AI overview in Google.

Google SERP – Cat toys

But Petlibro doesn’t just post informational articles. They do a great job of striking the balance of intent, focusing on content that matches what the searcher is looking for.

For example, this blog article about choosing the perfect cat tree gets more than 500 visits per month and ranks for 127 keywords. Best of all, most of these keywords have commercial or transactional intent.

Organic Research – Petlibro – Keywords by Intent

Key Lessons from Petlibro’s Blog

First off, Petlibro shows it’s important to develop a healthy mix of informational and transactional content.

Going after keywords at the top of the funnel works to build your authority. But content that helps point people to the right products when they’re already in the mood to buy brings more immediate results.

Next, for your brand to be visible in both Google and AI, you need to answer the questions people are asking. You can start by doing research on forums, but also try tools like Semrush’s AI SEO toolkit for prompt research.

This can give you an idea of the prompts people are using in AI platforms, and which websites AI is currently referencing or mentioning directly.

For example, let’s try searching for “home security camera systems.”

Semrush – Prompt Research – Home security camera systems

In the Prompt Research report, you can see AI volume for that topic, how difficult it is to gain visibility, the intent of the questions in this topic, and more details about the prompts used and the brands mentioned.

This gives you a great starting point to see what people are asking about within your topic. Then, you can create content that answers those questions.

3. Great Jones Goods

  • Industry: Cookware
  • Organic blog traffic: 11.6K
  • Backlinks: 1.7K
  • Keywords: 4.9K

Great Jones Goods’ blog stands out with fantastic visuals and content that is tailored to their audience.

Honestly, just looking at this blog is making me want to get into the kitchen and bake something.

Their blog has two main sections: recipes and personal profiles.

You gotta love these recipe posts. Just take this one for arroz con gandules:

Great Jones Goods – Blog recipes

Each recipe has a different author. So each post has a very personal feel.

It’s just like your favorite recipe blog, but without so many layers of fluff.

Great Jones Goods – Aunts famous recipe

The posts also mention the cookware the author used (subtly highlighting their own products).

Great Jones Goods – Ingredients

And each recipe is also accompanied by beautiful step-by-step visuals.

Great Jones Goods – Step by step visuals

This all looks great: but what about the results?

Great Jones Goods isn’t getting millions in traffic. But their content does show up in all the right places.

For example, their profiles of chefs and well-known people rank in search results:

Google SERP – Isabel Coss

And their recipe posts also show up in AI overviews:

Google SERP – Jeon

Their blog is consistent and targeted at their specific audience. Instead of being “sales-y,” they focus on being part of the community that they want to sell to.

Key Lessons from Great Jones Goods’ Blog

Beautiful, descriptive visuals are a key component of high-quality blog content. Plus, it’s a great way to make your blog stand out as different. When you’re creating content for your blog, ask yourself: how can I create something that AI can’t?

Great Jones does this by including step-by-step imagery and real-world examples of their products in use. That’s something shoppers love to see, and AI can’t replicate.

Another key takeaway from this ecommerce blog example is to include your community in your content. Great Jones does this with in-depth personal profiles that talk about the joy of cooking — something their target audience shares.

Great Jones Goods – Great Ones

People crave connection with other humans, now more than ever. You can use your blog to become part of that community.

Try including people that the community already knows and loves. This will help your blog be more personal, as well as give you new ways to promote your blog.

4. Thinx

  • Industry: Menstrual products
  • Organic blog traffic: 25k
  • Backlinks: 1.6k
  • Keywords: 22.6K

When your brand is dedicated to a mission, you can use your blog to promote and grow that mission. And that’s exactly what the period underwear brand Thinx has done with their “Periodical” section.

Thinx – Blog – Periodical

First, they chose an incredibly appropriate name for their blog. Next, they filled it with articles all about menstrual health for women and teens.

The articles are generally on the short side, but answer key questions their audience is asking. And with that, they’re able to rank for difficult keywords like “when do you ovulate,” “period blood clots,” or “period nausea.”

Thinx – Blog – Periodical – Post

Just this one article on ovulation ranks for 1.3k keywords, most of which are either hard or very hard to rank for per Semrush data.

Organic Research – Thinx Blog Periodical post – Positions

They also build educational resources around the message: Get BodyWise.

Thinx takes body literacy seriously. In fact, they have a dedicated resource page aside from their blog that is built to provide candid, accessible information for people who bleed.

Thinx – Provide accessible information

This even includes a series of educational videos from Dr. Saru Bala on women’s health.

Thinx – Educational video

Everything they do on the blog supports their mission to make period products and education more accessible to everyone who needs it.

And while their content doesn’t heavily promote their products (possibly on purpose), they do list a handful of relevant products at the end of each blog post. Just the right mix of promotional and educational.

Thinx – Relevant products at the end of each blog post

Key Lessons from Thinx Periodical Blog

Your company mission statement isn’t just something that lives quietly on your About page.

It should be a living, breathing part of your business ethos.

It should come through in your marketing.

When your blog has a core mission behind it, the content you create has a clear direction. You’re not just chasing keywords: you’re building educational resources that truly benefit your audience.

The result?

Thinx builds brand affinity naturally over time, increasing the chances that folks will choose Thinx over a competitor when they’re ready to buy.

5. King Arthur Baking

  • Industry: Cooking ingredients
  • Organic blog traffic: 730K
  • Backlinks: 133K
  • Keywords: 338K

King Arthur Baking’s blog ranks in the top 10 for some of the most difficult keywords in baking. That includes terms like “baguette,” “pizza,” or “types of cinnamon.”

So, how did they get here?

King Arthur Baking didn’t limit themselves to written content. They created a content ecosystem that also included multimedia content.

Currently, the King Arthur YouTube channel has over 330K subscribers. They post recipes, along with video versions of their podcast episodes.

YouTube – King Arthur Baking Company

These videos work seamlessly inside their blog posts.

For example, check out their blog post on chocolate chip cookies.

King Arthur Baking – Blog post – Cookies

The video from their YouTube video is part of the image gallery at the top.

But it’s also spliced together with the step-by-step recipe instructions below.

King Arthur Baking – Blog post – Step-by-step instructions

Doing this increases their chances of ranking for difficult keywords. And in some cases, they even rank more than once in the search results.

Google SERP – Kneading dough

Key Lessons from King Arthur’s Bakery Blog

Google and AI won’t rank what they can’t understand, so giving clear structure and formatting to your blog is an essential first step to rank better.

For example, King Arthur uses schema markup for their recipes. This helps them rank in rich results on Google.

Google SERP – Easy cheesecake recipe

Another lesson from King Arthur is using multimedia when it makes sense. Try creating videos that show your products in action, or clearly answer a question that your audience is asking. These can help you increase time on page and appear in more search results.

Finally, know when to push your products. King Arthur does a great job of subtly adding their products to content.

For example, their blog posts include “featured products,” a CTA to “Shop this recipe,” and “Recommended for you” products at the end of each post.

King Arthur Baking – Recommend for you

6. Keychron

  • Industry: Electronics
  • Organic blog traffic: 62.1K
  • Backlinks: 7.1K
  • Keywords: 25.8K

For a seriously niche blog and product, Keychron has a pretty hefty presence online. Their blog has had steady traffic growth since around 2020. And they rank for all kinds of keywords about keyboards.

Organic Research – Keychron Blog – Overview

For example, this article about hall effect switches gets over 1,700 visits per month.

Keychron – Blog article

The post ranks #1 for that main keyword. But it also appears in search results, AI overviews, and image packs for 137 other keywords.

Google SERP – Hall effect switch

Their blog posts do a great job of using visuals to explain topics about the tech. And they get to gently promote their own products when appropriate.

Keychron Blog – Using visuals to explain topics

Of course, this kind of top-of-the-funnel content is likely to drive less traffic as more people rely on AI Overviews and other AI tools for quick answers to their questions.

But it can still drive some traffic. And careful linking and CTA placement can turn that traffic into conversions.

Key Lessons from Keychron’s Blog

One key takeaway from Keychron’s blog?

Don’t be afraid to go niche.

Your audience may have very deep knowledge of a topic (like keyboards), or they may be generalists looking for an overall view of the topic. It’s up to you to know who your audience is, and develop content for them.

Topics like “Best Keyboards for World of Warcraft” may seem niche, but it fits Keychron’s highly specific audience (and does a great job of showcasing their products).

Keychron Blog – Targeting niche

7. Huckberry

  • Industry: Men’s clothing
  • Total traffic: 57K
  • Backlinks: 6.6K
  • Keywords: 44K

What do you do when you’ve hit a peak, and suddenly everything comes tumbling down?

Here’s the story of Huckberry’s blog in one chart:

Organic Research – Huckberry – Estimated Traffic Trend

The root domain didn’t take as much of a hit. But the blog experienced a spike and a sudden drop around early 2021.

Thankfully, Huckberry didn’t let that stop them.

They still had another card up their sleeve: their YouTube channel.

While the channel was created back in 2016, there was no consistency, and hardly any views.

But sometime after traffic dipped on the blog, we see a change in the posting pattern on YouTube. Suddenly, they’re posting consistently.

They share video series, interviews, and more (some of which get hundreds of thousands of views).

YouTube – Huckberry – Videos

And over time, Huckberry became the go-to place for adventure content for men.

They started sharing videos about culinary travel and adventure stories with members of the community. Plus, they posted gear reviews that linked back to their products.

That multimedia strategy helped Huckberry’s blog gain consistent growth again. Plus, their YouTube channel took off — today, it boasts over 375K subscribers.

YouTube – Huckberry – Homepage

That video strategy made them adapt the way they present content on their blog as well.

Huckberry – Journal posts

Many posts include videos with gear reviews and style help. The videos are funny, personable, and mention the brand’s products without sounding like a sales pitch — it really sounds like two friends shooting the breeze.

The posts themselves also do a beautiful job of incorporating products:

Huckberry – Post incorporates products

Almost all their posts follow classic blog post templates, but maintain the vibe of a cool online magazine.

Huckberry – Posts

Key Lessons from Huckberry’s Blog

Huckberry’s key lesson is this: don’t give up after a traffic dip.

Blog traffic can dip for many different reasons, but it doesn’t mean your blog is a lost cause. When you see a dip, dig into the data.

Have you lost ranking on major keywords? Are clicks down? Run through a basic SEO checklist to make sure you’ve got your bases covered.

Then, go back to the question we’ve talked about before: What can you create that AI can’t replicate? Define how your blog is differentiated from what AI answers can deliver, and what value you can bring to your audience.

Your Ecommerce Blog Can Succeed — If You Trust the Process

You can’t build a successful ecommerce blog overnight. But the brands above prove it’s worth the effort.

When you do it right, your blog becomes more than a traffic source. It’s a growth engine that boosts visibility, builds trust, and strengthens your brand in both Google and AI search.

Keep answering your customers’ questions, stay focused on your niche, and build consistency over time.

But remember: your blog is just one piece of your overall strategy.

To go deeper into building a comprehensive marketing strategy for your ecommerce brand, check out our full ecommerce marketing guide.

The post 7 Ecommerce Blog Examples + What You Can Learn From Them appeared first on Backlinko.

Read more at Read More

Canonical URLs: definitive guide to canonical tags 

Imagine telling someone that www.mysite.com/blog/myarticle and www.mysite.com/myarticle are actually the same page. To you, they’re the same, but to Google, even a small difference in the URL makes them separate pages. That is where the canonical tag steps in. In this guide, we will walk you through what a canonical URL is, how URL canonicalization works, when to use it, and which mistakes to avoid so that search engines always understand your preferred page version.

Key takeaways

  • A canonical URL is the main version of a webpage that you want search engines to index, avoiding duplicate content issues
  • The canonical tag, placed in the HTML head, signals which URL is the preferred version to search engines
  • Using canonical URLs helps consolidate link equity, improves crawl efficiency, and enhances user experience
  • Implement canonical tags in scenarios like duplicate content, URL versions, and syndicated content to inform search engines which URL to prioritize
  • Yoast SEO can automate canonical URL handling, reducing manual errors and ensuring consistency across your site

What is a canonical URL?

A canonical URL is the main, preferred, or official version of a webpage that you want search engines like Google to crawl and index. It helps search engines determine which version of a page to treat as the primary one when multiple URLs lead to similar or duplicate content. As a result, it avoids duplicate content and protects your SEO ranking signals.

All of the following URLs can show the same page, but you should set only one as the canonical URL:

  • https://www.mysite.com/product/shoes
  • https://mysite.com/product/shoes?ref=instagram
  • https://m.mysite.com/product/shoes
  • https://www.mysite.com/product/shoes?color=black

What is a canonical tag?

A canonical tag (also called a rel="canonical" tag) is a small HTML snippet placed inside the section of a webpage to tell search engines which URL is the canonical or master version. It acts like a clear label saying, “Index this page, not the others.” This prevents duplicate content issues, consolidates ranking signals, and supports proper canonicalization across your site.

Here’s an example of a canonical tag in action:

Canonical URL HTML example

This tag should be placed on any alternate or duplicate versions that point back to the main page you want indexed.

How does URL canonicalization work?

Canonicalization is the process of selecting the representative or canonical URL of a piece of content. From a group of identical or nearly identical URLs, this is the version that search engines treat as the main page for indexing and ranking.

Once you understand that, canonicalization becomes much easier to visualize. Think of it as a three-step workflow.

How the canonicalization process works

Here’s how the canonicalization works:

Search engines detect duplicate or similar URLs

Google groups URLs that return the same (or almost the same) content. These could come from:

  • URL parameters
  • HTTP vs. HTTPS versions
  • Desktop vs. mobile URLs
  • Filtered or sorted pages
  • Regional versions
  • Accidental duplicates like staging URLs

You signal which URL is canonical

You can guide search engines using canonical signals like:

  • The rel="canonical" tag
  • 301 redirects
  • Internal links pointing to one preferred version
  • Consistent hreflang usage
  • XML sitemaps listing the preferred URL
  • HTTPS over HTTP

The strongest and clearest hint is the canonical tag placed in the head of the page.

Google selects one canonical URL

Google uses your signals, along with its own evaluation, to determine the primary URL. While Google typically follows canonical tags, it may override them if it detects stronger signals such as redirects, internal linking patterns, or user behaviour.

Once Google settles on the canonical URL, search engines will:

  • Consolidate link equity into the canonical page
  • Index the canonical URL
  • Treat all non-canonical URLs as duplicates
  • Reduce crawl waste
  • Avoid showing similar pages in search results

Canonical tags are a hint, not a directive. Google may still distribute link equity differently if it deems the canonical tag unreliable.

Reasons why canonicalization happens

Canonicalization becomes necessary when different URLs lead to the same content. Some common reasons are:

Region variants

For example, you have one product page for the USA and one for the UK, like: https://example.com/product/shoes-us and https://example.com/product/shoes-uk.

If the content is almost identical, use one canonical link or a clear regional setup to avoid confusion.

Pro tip: For regional variants, combine canonical tags with hreflang to specify language/region targeting.

Device variants

When you serve separate URLs for mobile and desktop, such as: https://m.example.com/product/shoes and https://www.example.com/product/shoes.

Canonical tags help search engines understand which URL is the primary version.

Protocol variants

Sorting and filtering often create many URLs that show similar content, like:

https://example.com/shoes?sort=price or https://example.com/shoes?color=black&size=7

A single canonical URL, such as https://example.com/shoes, tells search engines which page should carry the main ranking signals.

Also read: Optimizing ecommerce product variations for SEO and conversions

Accidental variants

Maybe a staging or demo version of the site is left crawlable, or both https://example.com/page and https://example.com/page/ return the same content

Canonical tags and proper URL canonicalization help avoid these unintentional duplicates.

Some duplicate content on a site is normal. The goal of canonicalization in SEO is not to eliminate every duplicate, but to show search engines which URL you want them to treat as the primary one.

In practical aspects

In practice, canonicalization comes down to a few key things:

Placement

The canonical tag is placed in the head of the HTML, for example:

link rel="canonical" href="https://www.example.com/preferred-page" /

Each page should have at most one canonical tag, and it should point to the clean, preferred canonical URL.

Identification

Search engines examine several signals to determine the canonical version of a page. The rel="canonical" tag is important, but they also consider 301 redirects, internal links, sitemaps, hreflang, and whether the page is served on HTTPS. When these signals are consistent, it is easier for Google to pick the right canonicalized URL.

Crawling and indexing

Once search engines understand which URL is canonical, they primarily crawl and index that version, folding duplicates into it. Link equity and other signals are consolidated to the canonical page, which improves stability in rankings and makes your canonical tag SEO setup more effective.

The main rule for canonicalization is simple: if multiple URLs display the same content, choose one, make it your canonical URL, and clearly signal that choice with a proper canonical tag.

Why do canonical tags matter for SEO?

Google’s John Mueller puts it simply: ‘I recommend doing this kind of self-referential rel=canonical because it really makes it clear for us which page you want to have indexed or what this URL should be when it’s indexed.’

And that’s exactly why canonical tags matter; they tell search engines which version of a page is the real one. This keeps your SEO signals clean and prevents your site from competing with itself.

They’re important because they:

  • Avoid duplicate content issues: Canonical tags inform Google which URL should be indexed, preventing similar or duplicate pages from confusing crawlers or diluting rankings
  • Consolidate link equity: Canonicalization works similarly to internal linking; both are techniques used to direct authority to the page that matters most. Instead of splitting ranking signals across duplicate URLs, all information is consolidated into a single canonical URL
  • Improve crawl efficiency: Search engines don’t waste time crawling unnecessary duplicate pages, which helps them discover your important content faster
  • Enhance user experience: Users land on the correct, up-to-date version of your page, not a filtered, parameterized, or accidental duplicate

When to use canonical tags?

Canonical tags are useful in various everyday SEO scenarios. Here are the most common scenarios where you’ll want to use a rel=canonical tag to signal your preferred URL.

URL versions

If your page loads under multiple URL formats, with or without “www,” HTTP vs. HTTPS, and with or without a trailing slash, search engines may index each version separately. A canonical tag helps you standardize the preferred version so Google doesn’t treat them as separate pages.

Duplicate content

Ecommerce sites, blogs with tag archives, and category-driven pages often generate duplicate or near-duplicate content by design. If the same product or article appears under multiple URLs (filters, parameters, tracking codes, etc.), canonical tags help Google understand which canonical URL is the authoritative one. This prevents cannibalization and protects your canonical SEO setup.

Also read: Ecommerce SEO: how to rank higher & sell more online

Syndicated content

If your content is republished on partner sites or aggregators, always use a canonical tag that points back to your original version. This ensures your page retains the ranking signals, not the syndicated copy, and search engines know exactly where the content was originally published.

If syndication partners don’t honor your canonical tag, consider using noindex or negotiating link attribution.

Paginated pages

Long lists or multi-page articles often create a chain of URLs like /page/2/, /page/3/, and so on. These pages contribute to the same topic but shouldn’t be indexed individually. Adding canonical tags to the paginated sequence (typically pointing to page 1 or a “view-all” version) helps consolidate indexing and keeps rankings focused on the primary page.

Pro tip: For paginated content, use self-referencing canonicals (each page points to itself) unless you have a ‘view-all’ page that loads quickly and is crawlable.

Also read: Pagination & SEO: best practices

Site migrations

When you change domains, restructure URLs, or move from HTTP to HTTPS, using consistent canonical tags helps reinforce which pages replace the old ones. It signals to search engines which canonicalized URL should inherit ranking power. During migrations, canonical tags act as a safety net to prevent duplicate versions from competing with each other.

Implementing canonical URLs and canonical tags

URL canonicalization is all about giving search engines a clear signal about which version of a page is the preferred or canonical URL. You can implement it in several simple steps.

Using the rel=”canonical” tag

The most common way (as shown multiple times in this blog post) to set a canonical URL is by adding a rel="canonical" tag in the head section of your page. It looks like this:

link rel="canonical" href="https://www.example.com/preferred-url"/

This tag tells search engines which URL should carry all ranking signals and appear in search results. Ensure that every duplicate or alternate version links to the same preferred URL, and that the canonical tag is consistent throughout the site.

You can also use rel="canonical" in HTTP headers for non-HTML content such as PDFs. This is helpful when you cannot place a tag in the page itself.

Pro tip: While supported for PDFs, Google may not always honor canonical HTTP headers. Use them in conjunction with other signals (e.g., sitemaps).

Also, ensure the canonical tag is as close to the top of the head section as possible so that search engines can see it early. Each page should have only one canonical tag, and it should always point to a clean, accessible URL. Avoid mixing signals. The canonical URL, your internal links, and your sitemap entries should all match.

Setting a preferred domain in Google Search Console

Google lets you choose whether you prefer your URLs to appear with or without www. Setting this preference helps reinforce your canonical signals and prevents search engines from treating www and non-www versions as different URLs.

To set your preferred domain, open your property in Google Search Console, go to Settings, and choose the version you want to treat as your primary domain.

Redirects (301 redirects)

A 301 redirect is one of the strongest signals you can send. It permanently informs browsers and search engines that one URL has been redirected to another and that the new URL should be considered the canonical URL.

Use 301 redirects when:

  • You merge duplicate URLs
  • You change your site structure
  • You migrate to HTTPS
  • You want to consolidate link equity from outdated pages

Of course, redirects replace the old URL, while canonical tags suggest a preference without removing the duplicate.

With Yoast SEO Premium, you can manage redirects effortlessly right inside your WordPress dashboard. The built-in redirect manager feature of the SEO plugin helps you avoid unnecessary 404s and prevents visitors from landing on dead ends, keeping your site structure clean and your user experience smooth.

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Additional canonicalization techniques

There are a few more ways to support your canonical setup.

  • XML sitemaps: Always include only canonical URLs in your sitemap. This helps search engines understand which URLs you want indexed
  • Hreflang annotations: For multi-language or multi-region sites, hreflang tags help search engines serve the correct regional version while still respecting your canonical preference
  • Link HTTP headers: For files like PDFs or other non-HTML content, using a rel="canonical" HTTP header helps you specify the preferred URL server-side

Each of these methods reinforces your canonical signals. When you use them together, search engines have a much clearer understanding of your canonicalized URLs.

Implementing canonicalization in WordPress with Yoast

Manually adding a rel="canonical" tag to the head of every duplicate page can be fiddly and error prone. You need to edit templates or theme files, keep tags consistent with your sitemap and internal linking, and remember special cases, such as PDFs or paginated series. Modifying site code and HTML is risky when you have numerous pages or multiple editors working on the site.

Yoast SEO makes this easier and safer. The plugin automatically generates sensible canonical URL tags for all your pages and templates, eliminating the need for manual theme file edits or code additions. You can still override that choice on a page-by-page basis in the Yoast SEO sidebar: open the post or page, go to Advanced, and paste the full canonical URL in the Canonical URL field, then save.

  • Automatic coverage: Yoast automatically adds canonical tags to pages and archives by default, which helps prevent many common duplicate content issues
  • Manual override: For special cases, use the Yoast sidebar > Advanced > Canonical URL field to set a custom canonical. This accepts full URLs and updates when you save the post
  • Edge cases handled: Yoast will not output a canonical tag on pages set to noindex, and it follows best practices for paginated series and archives
  • Developer options: If you need custom behavior, you can filter the canonical output programmatically using the wpseo_canonical filter or use Yoast’s developer API
  • Cross-domain and non-HTML: Yoast supports cross-site canonicals, and you can use rel=”canonical” in HTTP headers for non-HTML files when needed

Both Yoast SEO and Yoast SEO Premium include canonical URL handling, and the Premium version adds extra automation and controls to streamline larger sites.

Must read: How to change the canonical URL in Yoast SEO for WordPress

rel=“canonical”: one URL to rule them all

Canonical URLs may seem like a small technical detail, but they play a huge role in helping search engines understand your site. When Google finds multiple URLs displaying the same content, it must select one version to index. If you do not guide that choice, Google will make the decision on its own, and that choice is not always the version you intended. That can lead to split ranking signals, wasted crawl activity, and frustrating drops in visibility.

Using canonical URLs gives you back that control. It tells search engines which page is the primary version, which ones are duplicates, and where all authority signals should be directed. From filtering URLs to regional variants to accidental duplicates that slip through the cracks, canonicals keep everything tidy and predictable.

The good news is that canonicalization does not have to be complicated. A simple rel=”canonical” tag, consistent URL handling, smart redirects, and clean sitemap signals are enough to prevent most issues. And if you are working in WordPress, Yoast SEO takes care of almost all of this automatically, so you can focus on creating content instead of wrestling with code.

At the end of the day, canonical URLs are about clarity. Show search engines the version that matters, remove the noise, and keep your authority consolidated in one place. When your signals are clear, your rankings have a solid foundation to grow.

The post Canonical URLs: definitive guide to canonical tags  appeared first on Yoast.

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