‘Mistakes make you stronger’: PPC lessons from Inderpaul Rai

In episode 325 of PPC Live The Podcast, I sat down with Inderpaul “Indi” Rai, group account director at WeDiscover, to explore the lessons learned from mistakes, team dynamics, and the evolving role of automation and AI in paid search.

Indi, a veteran with over a decade of experience in AdTech, MarTech, SEO, analytics, and multilingual paid search, shared candid insights on how errors can shape careers and client relationships.

Embracing mistakes to grow

Indi opened up about one of the most significant mistakes in his career: an automated budget feature in Search Ads 360 went unchecked during his holiday, resulting in the U.S. account overspending by a substantial amount.

Despite the magnitude of the error, the client’s response was surprisingly supportive – they recognized it as an honest mistake and collaborated to mitigate the impact.

Key takeaway. Mistakes are inevitable, but transparency, a calm response, and collaborative problem-solving can turn potential disasters into learning opportunities. Indi emphasizes that experiencing and managing errors is essential for personal and professional growth.

The importance of team communication and handover

Indi reflected on how the overspend could have been avoided with better team preparation:

  • Ensuring critical information isn’t solely in the manager’s head.
  • Documenting handovers thoroughly and leaving room for junior team members to step in effectively.
  • Establishing multiple layers of oversight to prevent single points of failure.

He stressed that team members should feel empowered to act and communicate when issues arise, even if the manager is unavailable. In his experience, the junior team caught the overspend themselves and waited for Indi’s return rather than panicking – a testament to clear communication and a supportive team culture.

Lesson for managers: Maintain composure during crises, focus on solutions over blame, and ensure your team knows their role in resolving issues.

Automation and AI: Tools, not crutches

The discussion turned to automation and AI, where Indi shared practical advice:

  • Treat AI as an assistant, not a replacement. Blind reliance on AI can lead to errors, especially if users don’t understand the subject matter.
  • Always validate outputs and run rigorous testing before implementing AI-driven changes. He cited an example from his past work rewriting product descriptions: AI produced repetitive, generic content that wasn’t an improvement over the original, highlighting the need for careful oversight.
  • Automation can enhance efficiency but requires clear rules, regular checks, and accountability to prevent mistakes like unmonitored budget overspend.

Insight. Automation amplifies efficiency but cannot replace thoughtful human oversight and strategic decision-making.

Client relationships matter

A recurring theme in Indi’s story was the importance of cultivating strong client relationships. The supportive response of a previously “difficult” client revealed that mutual respect, trust, and proven value can turn challenging situations into opportunities for stronger partnerships.

Lessons in leadership and mindset

Indi also shared broader reflections applicable beyond PPC:

  • Resilience matters: he likened his career journey to Rocky, emphasizing that success isn’t about avoiding hits but about how you respond and keep moving forward.
  • Learning through experience: setbacks are essential; they teach you to handle pressure, improve processes, and grow professionally.
  • Balanced guidance: leaders should manage crises calmly, focus on facts, and support their teams without panicking.

From mistakes to momentum

The conversation underscores that mistakes are not the end – they are a catalyst for learning, collaboration, and improvement.

From automation missteps to client communication, Indi’s insights provide a roadmap for PPC professionals aiming to thrive in a fast-evolving industry.

Whether refining handovers, managing automation, or responsibly leveraging AI, the core lesson remains the same: anticipate errors, respond calmly, communicate clearly, and use each experience to build stronger teams and smarter processes.

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Go beyond CTR with 6 AI-powered SEO discoverability metrics

Thanks to AI-generated answers, CTRs are failing fast, and even page-one rankings no longer guarantee clicks. Google’s top organic results saw a 32% CTR drop after AI Overviews launched, plummeting from 28% to 19%. Position #2 fared even worse, with a 39% decline. Meanwhile, 60% of searches in 2024 ended without clicks; also, the projections show zero-click searches could surpass 70% by 2025. What does this mean for measuring success?

Key takeaways

  • AI-generated answers are drastically reducing CTRs, with top rankings seeing significant declines in clicks.
  • Traditional SEO metrics are no longer sufficient; marketers should adopt AI-powered SEO metrics to measure influence and visibility.
  • Six new metrics, including AI brand mention rate and semantic relevance score, provide insights into AI-driven search success.
  • Businesses must optimize for Generative Engine Optimization (GEO) by ensuring content clarity and authority for AI responses.
  • Tracking AI visibility and implementing structured data are essential for maintaining brand relevance in an AI-first search landscape.

The era of measuring SEO success purely through traffic metrics is coming to a standstill. AI systems like ChatGPT, Perplexity, and Google’s AI Overviews and AI Mode deliver instant answers; therefore, brand visibility increasingly happens without clicks. Marketers will turn to AI-enabled discoverability metrics that capture actual influence. 

This guide explains why it’s important to go beyond CTR. It reveals six AI metrics that predict success in AI-driven search, plus strategies to measure and optimize your visibility when clicks disappear. 

How does this disrupt traditional SEO? 

Google’s AI Overviews (and similar features on Bing, etc.) generate a concise, multi-sentence answer at the top of the results page. These summaries cite source links, pulling content from high-ranking pages and knowledge panels. To the user, this is convenient: you get an instant answer without scrolling.  

For marketers, however, it means the user’s query can be resolved on-page. From the publisher’s standpoint, these overviews satisfy search intent without generating a click, effectively extending the trend of zero-click searches. In other words, the page may be used (quoted in the answer) but not clicked.  

AI Overviews significantly accelerate zero-click behavior. A finding suggests that zero-click searches jumped from ~24% to 27% year-on-year in early 2025. A Bain survey reports that about 60% of searches end without users clicking through to another site. 

In practice, organic listing CTRs are under siege. Top-ranked pages are losing share because AI answers capture attention. We see that Google’s new summarization features are faster and more convenient, which might mean that these become the default way people search, shifting discovery away from traditional blue links. 

Evidence of a drastic CTA decline

Multiple independent studies show massive CTR drops wherever AI summaries appear. Recent industry data paints a stark picture of CTR decline across prominent search positions:   

Position  2024 CTR  2025 CTR  Decline 
28.0%  19.0%  -32% 
20.8%  12.6%  -39% 
3-5 Average  15.2%  12.5%  -18% 

This data, compiled from over 200,000 keywords across 30+ websites, coincides directly with Google’s aggressive AI Overview expansion. From just 10,000 triggering keywords in August 2024, AI Overviews now appear for over 172,000 queries by May 2025. In practical terms, a top-ranking page that used to draw nearly three out of 100 searchers now gets under one.

Paid search is hit, too. In one study, paid CTR roughly halved in queries with AI Overviews: dropping from 21.27% without an AIO to 9.87%. In other words, even ads share the fate of organic results, AI answers grab a lot of the click-through “real estate.”  

These shifts mean many queries that once sent healthy website traffic now keep users on the SERP. In short, AI Overviews are dragging down CTRs significantly across positions and query types. 

AI Overviews are the zero-click accelerator 

Google’s AI Overviews represent more than a UI change because they reshape user search behavior. When AI Overviews appear:  

  • Organic CTR drops 70% (from 2.94% in the previous year to 0.84% in 2025)  
  • Paid CTR falls 54% (from 21.27% to 9.87%)  
  • Featured content gets answered directly without requiring website visits  

Major publishers report even more dramatic impacts. MailOnline found that CTRs plummeted to under 5% on desktop and 7% on mobile when AI Overviews were present, a blow to traffic-dependent business models.  

These drops aren’t limited to one sector. Industries heavily reliant on informational queries (health, science, how-to guides, etc.) report the biggest hit. For instance, Semrush notes that sites in health and science categories see the most AI Overview inclusion and significant organic traffic losses.  

AI Overviews primarily trigger informational and long-tail queries (definitions, tutorials, general knowledge), precisely the traffic that blogs, knowledge bases, and affiliate sites depend on.  

The evidence is clear. Zero-click search is rapidly rising, and organic CTRs are falling wherever AI-powered answers are available. 

What CTRs miss in the AI search era? 

Traditional CTR metrics miss a big part of the picture: invisible brand exposure. Your brand may be mentioned in AI responses without generating a single click, highlighted in knowledge panels without direct attribution, or recommended through voice search on smart devices. Even AI-generated summaries from platforms like ChatGPT, Claude, Perplexity, and Gemini draw on your content. These shape user perception without leaving a measurable trail. 

The false correlation problem  

High CTR no longer equals high visibility in AI systems. Consider this example:  

  • Brand A ranks #1 organically, receives 500 monthly clicks  
  • Brand B gets cited in 50 AI Overview responses, receives 50 clicks  
  • Traditional metrics favor Brand A, but Brand B influences thousands more users through AI  

This disconnect means businesses optimizing solely for CTR may miss massive audience reach in AI environments.  

These numbers confirm the trend. A large (and growing) chunk of search queries never leads to an external click, instead being resolved by AI/Google. This doesn’t mean all organic traffic is lost; many queries (mainly transactional, local, or brand-specific) still send clicks, but the landscape is clearly shifting toward answering directly. 

Six AI LLM optimization metrics

With traditional click metrics weakening, SEO must evolve. CTRs and ranks still matter, but they’re incomplete indicators now. We must measure how content performs within AI-generated answers, even when no one clicks. As Cyberclick observed, your content might be “cited, referenced, or sourced by AI systems”, which they call zero-click visibility, yet none of that shows up in Google Search Console or analytics. In other words, your page could be the knowledge behind an answer, building authority, without any direct traffic trace.  

To account for this, experts recommend new AI metrics: 

1. AI brand mention rate 

Definition: Frequency of brand appearances in AI-generated responses across major platforms (ChatGPT, Claude, Perplexity, Google AI Overviews).

This metric is critical because it has the strongest correlation with AI Overview visibility. The top 25% of brands receive over 169 monthly AI mentions, compared to just 14 for the next tier. Meanwhile, 26% of brands have zero AI mentions at all, revealing massive gaps and untapped opportunities in brand visibility. 

How to measure:

  • Manual query testing across LLM platforms using brand-related searches  
  • Custom monitoring scripts to track brand mentions in AI responses  
  • Competitive benchmarking against industry leaders  

Optimization tactics:  

  • Create quotable, cite-worthy statistics and insights that AI systems prefer  
  • Build topical authority through comprehensive content coverage  
  • Increase web mentions across trusted, high-authority sources  
  • Develop thought leadership content that positions your brand as an expert source  

Pro tip: Yoast AI Brand Insights can help track and optimize your brand’s visibility across AI platforms, giving you actionable data to improve mention frequency and context. 

2. Semantic relevance score 

Definition: Measurement of content alignment with search intent through vector embeddings rather than keyword matching  

This metric is critical because AI systems rely on semantic similarity rather than exact keyword matches when selecting content. It predicts the likelihood of being included in AI-generated answers across different platforms and measures how accurately content aligns with queries beyond surface-level optimization. 

How to measure:  

  • OpenAI Embedding API for content-query similarity scoring  
  • Go Fish Digital’s Embedding Relevance Score tool for automated analysis  
  • A/B testing content variations to identify the highest-scoring approaches  
  • Topic clustering analysis to understand semantic relationships  

Optimization tactics:  

  • Focus on comprehensive topic coverage rather than keyword density  
  • Use entity-based content strategies that connect related concepts  
  • Optimize for question-answer formats that AI systems prefer  
  • Create contextually rich content that covers user intent fully  

Advanced strategy: Implement structured content hierarchies using clear H2/H3 sections that mirror how AI systems process information for responses. 

3. Structured data implementation score 

Definition: Percentage of pages with proper schema markup and AI-readable formatting  

This is critical because AI systems strongly favor structured, machine-readable data over plain text. Schema markup improves AI comprehension, boosts the chances of being cited, and enables rich snippet appearances that reinforce visibility alongside AI Overviews. 

How to measure:  

  • Schema markup validation tools to audit implementation coverage  
  • Percentage of key pages with relevant structured data types  
  • Rich snippet appearance tracking across target queries  
  • Technical SEO audits focusing on markup completeness  

Optimization tactics:  

  • Implement FAQ and HowTo schemas for informational content  
  • Use comprehensive schema types (Organization, Product, Service, Review)  
  • Create clean, markdown-friendly content formats that AI can easily parse  
  • Optimize internal linking structure to support entity relationships  

Note: Yoast SEO Premium includes advanced schema implementation features that can automate much of this optimization process.  

4. Citation quality index 

Definition: Quality weighting of attributed mentions and source links in AI responses  

This index is critical because it fuels both traffic and trust within AI recommendation systems. Quality citations strengthen brand authority in LLM training, while linked references deliver three times more value than unlinked mentions. 

How to measure:

  • Track citations with proper source attribution across AI platforms  
  • Monitor the authority scores of sites that cite your content  
  • Measure click-through rates from AI citations when available  
  • Assess citation context quality (positive, neutral, negative sentiment)  

Optimization tactics:  

  • Create authoritative, research-backed content that merits citation  
  • Build relationships with industry publications and thought leaders  
  • Optimize content for “cite sources” inclusion with clear attribution  
  • Develop proprietary data and insights that become go-to industry references  

Advanced tracking: Use tools like Brand24 or Mention.com to monitor unlinked brand citations that may influence AI training without generating trackable links.  

5. Query match coverage 

Definition: Breadth of related queries where your content appears in AI responses  

Query match coverage is essential because AI systems favor comprehensive topical coverage over a narrow focus. And broader query coverage indicates higher entity authority. It also predicts inclusion across multiple AI response types and platforms  

How to measure:  

  • Topic clustering analysis to map query coverage  
  • Competitive content gap analysis to identify opportunities  
  • Query coverage mapping across your content portfolio  
  • AI response monitoring for related search terms  

Optimization tactics:  

  • Create pillar or cornerstone content with comprehensive topic coverage  
  • Answer related questions thoroughly within single content pieces  
  • Build content clusters around core topics using internal linking  
  • Develop FAQ sections that address query variations  

Content strategy: Use tools like Yoast’s content optimization features to ensure your content covers topics comprehensively for AI visibility.  

6. AI positioning score  

Definition: Average placement position of your brand/content within AI-generated responses  

AI positioning score matters because earlier placement in AI responses gets far more attention. First-position mentions see up to three times higher engagement, and strong positioning directly boosts perceived brand authority. 

How to measure:  

  • Track the mention position across AI responses manually  
  • Calculate the average placement across multiple queries over time  
  • Monitor position trends to identify optimization success  
  • Benchmark positioning against direct competitors  

Optimization tactics:

  • Optimize content for primary source citation by AI systems  
  • Build first-party research and proprietary data that AI prefers  
  • Create definitive resources that become category authorities  
  • Focus on expertise signals (author credentials, source authors) 

Why CTR still matters (and how to optimize it) 

Even as AI visibility metrics rise in importance, CTR still plays a crucial role. Clicks directly drive conversions and sales, making them essential for revenue. A strong CTR also signals clear content-query alignment, which boosts overall visibility. Over time, pages with consistently higher CTR often gain better placement in AI-generated citations, which creates an advantage. 

CTR optimization in the AI era

Write for click-desire, not just keywords

Today, writing for click desire is more important than ever. Instead of focusing only on keywords, craft curiosity-driven headlines that promise insights users won’t find in AI summaries. Pair these with benefit-focused meta descriptions that highlight exclusive value, and tease proprietary data or tools that can only be accessed on your site. 

Enhanced SERP presentation

Equally important is how your content presents itself in the SERPs. Comprehensive schema markup can unlock rich snippets, while optimized title tags and emotionally engaging meta descriptions help your results stand out. Structured snippets are also powerful for showcasing your unique selling propositions directly on the results page. 

Mobile optimization

Finally, mobile optimization ensures that once users click, they stay engaged. Fast page load speeds provide immediate satisfaction, while scannable content structures make information easy to digest on smaller screens. Queries here often carry higher intent, making them a valuable source of qualified clicks.

Curious to know how AI sees your brand?

Unlock instant AI brand visibility insights, track mentions, and boost your authority with our Yoast SEO AI+ package.


Start your journey with smarter AI SEO now!

The bigger picture: Generative SEO (GEO/AEO) 

Traditional SEO is shifting fast. With AI-driven search platforms like Google’s AI Overviews, ChatGPT, and Perplexity shaping results, businesses now need to optimize for Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO). 

In simple terms: Instead of fighting for clicks on SERPs, the new goal is to have your content chosen as trusted source material in AI-generated answers. 

What GEO/AEO means for your content 

AI-powered search engines “read” and select content differently from Google’s classic algorithm. They prioritize: 

  • Clarity & structure → short, factual sentences 
  • Explicit answers → direct responses to common queries 
  • Scannable formats → helpful headings, bullet lists, and one idea per paragraph 
  • E-E-A-T compliance → expertise, authoritativeness, trustworthiness 
  • Credible sources → supported by citations 

How Yoast helps you optimize for GEO 

The Yoast SEO plugin includes features designed for this new search reality: 

  • llms.txt generation → creates a “map” for AI assistants, highlighting your key content in plain text 
  • Readability checks → sentence length and reading ease tools help you write concise, AI-friendly content 
  • Green lights, simplified → signals that your content is structured for both humans and AI systems 

Want more? Learn how to optimize content for LLMs, and read all about our new llms.txt SEO feature. 

The role of branding in GEO 

Here’s what many miss: AI Overviews strip away logos, design, and slogans. All that remains is text. That means your brand identity must live in your words. 

To stand out in AI-generated answers: 

  • Use brand-specific language and stories 
  • Strengthen authority with schema markup and citations 
  • Make sure your brand’s voice and expertise come through clearly 

This is where AI Brand Insights comes in. This feature will: 

  1. Track how AI assistants mention your brand. 
  2. Show how your business is represented in AI-generated answers. 
  3. Help refine your brand narrative in the age of AI search. 

In short: GEO isn’t about SERP position alone; it’s about what AI “knows” and shows about your brand. 

See how visible your brand is in AI search

Track mentions, sentiment, and AI visibility. With Yoast AI Brand Insights, you can start monitoring and growing your brand.

Essential takeaways 

  1. CTRs remain essential but insufficient for measuring true search success 
  2. AI brand mentions and citation quality predict long-term visibility better than traditional rankings
  3. Structured data and semantic optimization determine inclusion in the AI-generated responses
  4. Multi-platform visibility tracking is essential as search behavior fragments across AI tools

Ready to optimize visibility in AI search? 

The transformation to AI-powered search is already here. Early adopters who implement comprehensive AI visibility measurement today will establish competitive advantages that build over time.  

Start tracking your AI mentions immediately using the frameworks outlined above. Audit your content for AI-friendliness and implement structured data optimization. Most importantly, build authority through comprehensive topic coverage and citation-worthy insights that position your brand as an industry authority across traditional search and AI platforms.  

The brands that thrive in the next decade will not be those with the highest CTRs; they will be the ones that understand how to build influence and visibility in an AI-first search world.  

Join the waitlist for AI Brand Insights and be among the first to shape how AI sees your brand. 

The post Go beyond CTR with 6 AI-powered SEO discoverability metrics appeared first on Yoast.

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Web Design and Development San Diego

Search Central Live Dubai 2025

For the first time, Search Central Live is coming to Dubai on October 21, 2025!
After events in Europe, Latin America, and Asia, we’re continuing our mission to help
you enhance your site’s performance in Google Search, live in Dubai, UAE.

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Google pushes Demand Gen deeper into performance marketing

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

Google Ads’ Demand Gen campaigns – once thought of as mid-funnel discovery tools – are evolving into full-funnel, conversion-focused campaigns, with YouTube at the core.

Why we care. Marketers are under pressure to prove ROI across channels. Demand Gen now blends social-style ad formats with Google’s AI-driven targeting, giving advertisers new ways to drive sales, leads, and app installs from audiences they can’t reach elsewhere.

What’s new:

  • Target CPC bidding: Advertisers can now align Demand Gen with social campaigns for apples-to-apples budget comparisons.
  • Channel controls. Run ads only on YouTube, or expand to Display, Discover, Gmail, and even Maps.
  • Creative tools. Features like trimming and flipping help repurpose social assets for Shorts and other placements, lowering barriers to entry.
  • Feeds + app support. Product feeds in Merchant Center show a 33% conversion lift; Web-to-App Connect now extends to iOS for smoother in-app conversions.

By the numbers. According to Google advertisers using Demand Gen have seen on average:

  • 26% YoY increase in conversions per dollar
  • 33% uplift when attaching product feeds

Between the lines. Google says Demand Gen’s shift from contextual matching to predicting user intent and purchase propensity has made it a contender for bottom-funnel performance. In short: YouTube is no longer just discovery – it’s decision-making.

What’s next. Expect more AI-driven creative tools, expanded shoppable formats, and deeper integrations across channels.

The takeaway. Don’t wait for “perfect” YouTube creative. Lift, adapt, and test now — Demand Gen is no longer a mid-funnel experiment, it’s a performance channel.

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Your GEO content audit template

GEO content audit

My SEO mantra in the age of GEO is from the great Lil Wayne, “Real G’s move in silence like lasagna.”

Translation for SEO marketers: the most effective GEO moves aren’t loud growth hacks. They’re the subtle edits and formatting that make AI cite you without fanfare.

To help with your GEO audit, here’s an inside peek into my secret menu.

Take a look at my GEO content audit template.

It’s an evolution of my SEO content audit.

As Google’s Danny Sullivan has been telling rooms full of marketers, “Good SEO is good GEO.”

That’s why I like to think of GEO as SEO’s MTV Unplugged version. It’s the same band, same lyrics, just stripped down, reimaged, and way more personal.

Alright, enough philosophy. You came here for the secret recipe. Let’s crack open the GEO content audit template and see how it works in practice.

Use this GEO content audit template

Cool. You’ve made a copy of the GEO content audit template. Now what?

Here are the key sheets you’ll work through:

  • Summary: High-level snapshot once you’ve scored everything.
  • Action list: Quick recap of next steps that summarizes all your findings from the other tabs.
  • Content inventory: This is the backbone. Filters include:
    • URL.
    • Action.
    • Strategy.
    • Page title.
    • Last updated date.
    • Author.
    • Word count.
    • Readability.
    • Average words per sentence.
    • Keywords.
    • Canonical.
    • Internal links.
    • And more.
  • Indexability/architecture/ URL design/on-page: Your technical health is still important.
  • Structured data: Markup needed and where.
  • International: Hreflang, language, local cues (currency, units, spelling, trust marks).
  • Speed: Yes, page speed is still important.
  • Content and gaps: Quality scoring and what’s missing.
  • Linking: Internal link plans and external targets.
  • Refresh: Cadence schedules by asset type.

You’ll bounce between content inventory, structured data, content, content gaps, and linking the most.

Tools you’ll want on hand

  • Crawling and gaps: Screaming Frog, Ahrefs, or Semrush for keywords and links.
  • Search Console: Build a regex brand view (brand + misspellings + product names) to watch demand move as AI answers spread.
  • Prompt testing: Manually test core buyer prompts in ChatGPT, Google AI Overviews/AI Mode, Gemini, Copilot, Perplexity. Log inclusions and citations. BrightEdge’s dataset shows that you’ll see a lot of disagreement across platforms. Expect that.
  • Attribution: Roadway AI (or similar) to connect topics/pages to pipeline and revenue for your QBR.

How to do a GEO content audit (with the template)

1. Set goals

Pick outcomes that map to how people actually find you now:

  • Inclusion rate: Percentage of target prompts where your brand is mentioned inside ChatGPT/AI Overviews/AI Mode/Perplexity/Copilot.
  • Homepage and direct lift: Buyers often go to AI → Google → your homepage. This is why you’ll want to watch branded impressions and homepage sessions.
  • Revenue by topic/page: Wire this to your attribution tool.

Why this mix?

Because AI boxes change, and engines disagree.

A blended scoreboard helps you avoid chasing one fragile metric.

Pro move: Add “ChatGPT/AI Search” to “How did you hear about us?” in forms and sales notes and review weekly. Many teams report this is where the hint of AI-assisted discovery shows up first.

2. Build your content inventory

Using Screaming Frog, export every URL with: title/H1, last updated, author, canonical, word count, readability metrics, internal links, and a target query/theme.

Add a few custom fields:

  • Direct-answer present (Y/N): Is there a <120-word summary up top that answers the main question?
  • FAQ present (Y/N): Does it mirror prompt fragments and include FAQ schema?

Why?

If your page is tidy, answer-first, and properly marked up, it’s far easier to reference.

3. Segment by site, market, and language 

Break your inventory into:

  • Domain/subdomain/folder (e.g., .co.uk, /fr/).
  • Market language variations (U.S. vs. U.K. English, Spain vs. Mexico Spanish).
  • Indexability quirks (hidden duplicates, parameters, session IDs).

For international pages, score:

  • Hreflang implementation (pointing to the right alternates; reciprocal).
  • Local cues (currency, units, spelling, trust marks like local badges, VAT specifics).
  • CTAs (country-specific copy, phone numbers, store links).

A shaky international setup is a fast way to look sloppy to users and AI models.

4. Pull the numbers

Look at more than organic:

  • Organic sessions and conversions.
  • Direct sessions and homepage trend 
  • GSC clicks/impressions/queries and brand regex trendline.
  • Manual AI inclusion log (engine, prompt, did we show, who else got named?).

Google says the AI experiences drive “higher-quality clicks,” while many SEO marketers report general traffic decline. 

Read both, and measure your own reality.

5. Judge the substance

Score every high-value page for “citable signal”:

  • Direct answer up top (<120 words).
  • Evidence: Proprietary data, SME quotes, methods, and links out to credible sources.
  • Trade-offs: Where your product is not the best fit.
  • FAQ block that mirrors prompt syntax (e.g., “best X for Y,” “X vs Y,” “pricing,” “implementation time”).
  • Schema: FAQ, HowTo, Product, Organization/Author with published/updated dates.

6. Map gaps and conflicts

Create a hit list:

  • Duplicates and cannibalization: Merge or redirect. If two pages answer the same thing, decide which one lives.
  • Missing BOFU pages:
    • “[Competitor] alternatives.”
    • “X vs Y.”
    • “Pricing.”
    • “Industry-specific use cases.”
  • Offsite holes: Are you absent from “Best of” lists, comparison hubs, review sites, and relevant forum threads? That’s where AI models shop for context. The more you appear on those domains, the likelier you are to get named in answers.

7. Establish next steps

Turn findings into a real plan:

  • Fixes
    • Hreflang clean-up.
    • Canonicals.
    • FAQ/HowTo/Product/Organization/Author schema.
    • Direct-answer summaries added to target pages.
  • Net-new assets
    • “Alternatives,” “X vs Y,” pricing explainer, implementation guide.
    • Video explainers (YouTube) with clear chapters.
    • Region-specific FAQs and CTAs.
  • Earned presence
    • Shortlist the publishers and communities your buyers read.
    • Pitch data-led pieces. Offer SME quotes and screenshots.
    • For review sites (G2/Capterra), set up a gentle ask after X days live.
  • Attribution
    • Connect the page/topic to the pipeline and revenue so that GEO progress is reflected in QBRs (e.g., Roadway or similar).

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Worked example: Filling the template

Let’s see what this looks like in practice. Here’s a sample workflow that uses the GEO content audit template step by step. 

  • Create your goals:
    • Hit 40% inclusion across 50 priority prompts in AI Overviews/ChatGPT
    • +15% homepage sessions QoQ
    • +25% topic revenue for X cluster.
  • Load all URLs. Pick the top 100 URLs to tackle first. Manually update columns with and complete the action with: keep, update, merge, redirect.
  • Plan to add FAQ where you mirror prompt fragments. Think about adding Organization/Author (with bios and dates).
  • Check hreflang and copy cues (currency, units, etc.). Flag any market where your “local” page reads like a machine translation or uses the wrong signals.
  • List missing BOFU pages and industry variants. Prioritize by buyer impact.
  • Add internal links from top-traffic pages to the pages you want cited. Short, descriptive anchors that mirror the question asked.
  • Turn your action list into tickets. Dates. Owners. Status. Nothing lingers.
  • For each of your 50 prompts, record: engine, date, question, inclusion (Y/N), snippet, and other brands named. Check weekly for movement. Why weekly? Because Google keeps tinkering with AI Mode, links, carousels, and new UI, your presence can shift with those tweaks.

Keep these moves in mind to keep your audit on beat

Refresh cadence

Fast vertical (finance, travel, fast-moving SaaS)? Aim for quarterly.

Other verticals can run biannual or annual content refreshes.

Fresh, cited, and updated content tends to fare better for AI Overviews and Perplexity. 

Both are leaning hard on recency and clarity, and Google is actively testing more visible links in those AI blocks.

Local content beats translation

U.K. ≠ U.S.

Spain ≠ Mexico. 

Adjust spelling, units, currency, trust marks, and examples.

Tune the FAQ to local search habits and buyer objections. 

If your Canadian page says “sales tax” instead of GST/HST, people notice – so do models.

Track what matters, not just what’s easy

  • Inclusion rate across engines
  • Brand regex impressions in GSC
  • Homepage/direct lift
  • Revenue by topic/page

Chasing “LLM rankings” is sketchy. Use trackers as signals, not gospel.

What’s really the difference between a GEO content audit and an SEO content audit?

It’s a review of your content and your offsite footprint through an AI lens: Is your stuff scannable, citable, up-to-date, and backed by authority that LLMs trust?

SEO audit focuses on ranking and traffic on your own site. You crawl, fix indexing, resolve cannibalization, etc. It’s the classic playbook.

GEO audit focuses on representation and citability. You still care about structure and technicals, but you also score whether your brand appears in AI answers, even when the cited page isn’t yours.

You check if your content opens with a direct answer, mirrors prompt questions (and has FAQ schema), and is referenced by publishers, YouTube videos, Reddit threads, and review sites.

You need both

Skipping either is like training your upper body only. You’ll look fine in a tank top, but probably should avoid shorts.

Rankings still matter for discovery and for the content AI scrapes.

GEO pushes you to become answer-worthy across the broader web.

Or in Sullivan’s phrasing, good SEO already points you toward good GEO.

Pour one out for your old SEO friends – GEO is part of the scene

GEO is here to stay. Call it bad news delivered with a good whiskey. 

Visibility is shifting to AI answers. If you’re referenced in AI answers, you’ll feel it in your top-funnel numbers.

Competitors can “win” even when their site isn’t ranking because third-party pages that mention them get cited.

“You want a content plan that isn’t sipping vodka Red Bulls like it’s still 2015, then blacking out the second AI changes the playlist.

This is your GEO content audit curtain call 

ChatGPT doesn’t even have a SERP. It has an answer. If Google leans further into AI Mode, that answer becomes the main act.

Your job: be the source cited.

You want a content plan that doesn’t involve sipping vodka Red Bulls like it’s still 2015 and blacking out the second AI changes the playlist.

So run the audit, tighten structure, add proof, win some offsite mentions, and track inclusion, not just rankings.

Tie this to revenue so nobody calls this a science project.

Read more at Read More

Google Ads streamlines scripts documentation

Trusting Google Ads AI

Google has refreshed its Ads scripts documentation to make it easier for advertisers and developers to build, test, and customize automations.

Why we care. Scripts help advertisers save time and scale campaigns, but the old documentation was clunky and fragmented. The overhaul puts guides, references, and examples into a more intuitive flow that reduces friction for both beginners and power users.

What’s new:

  • Guides are now grouped by experience level and campaign type.
  • A dedicated reference tab makes it easier to browse available script objects.
  • Solutions and examples have been merged, centralizing sample code in one place.

Bottom line: Advertisers and agencies relying on automation should be able to work faster and with less guesswork, while new users have a smoother entry point into scripts.

Read more at Read More

Microsoft clarifies nonprofit ad grant program status

Microsoft Ads

Microsoft Ads Liaison Navah Hopkins confirmed that the company’s Ads for Social Impact program, which grants nonprofits ad credits across Microsoft’s ad inventory, is currently on a waitlist.

Why we care. The program gives nonprofits free ad credits to reach audiences across Bing, Outlook, MSN, Microsoft Edge, and even Yahoo and AOL via syndicated partners. With no strict feature requirements, charities can apply the credit to strategies that best fit their goals, while also accessing training and optional AI tools for creative support.

Eligibility: To qualify, nonprofits must be registered 501(c)(3) or equivalent, have a functioning mission-aligned website, and not fall into excluded categories like hospitals, schools, or government entities. Applying is not a guarantee of acceptance and all applications will be reviewed on the merits.

Bottom line. While details around nonprofit support have been murky, Microsoft is reaffirming its commitment to helping charities stretch their marketing budgets and amplify their missions through free ad spend.

Read more at Read More

LinkedIn Company Intelligence API links ads to pipeline, revenue

5 tests to run to drive growth with LinkedIn Ads

B2B marketers under pressure to prove ROI now have a new tool from LinkedIn – the Company Intelligence API. It is designed to connect campaign performance directly to sales pipeline and revenue outcomes.

Why we care. Traditional attribution models struggle with complex B2B buying journeys, often missing early signals and undervaluing campaigns. LinkedIn’s new API aims to bridge the gap between ad performance and real business outcomes, letting them see which companies are actually moving through the funnel, prove ROI with hard numbers, and make smarter budget shifts toward what drives pipeline and revenue.

By the numbers: Early beta users reported (LinkedIn data):

  • 288% increase in companies engaged
  • 93% increase in pipeline value
  • 30% boost in ROI
  • 37% reduction in cost per acquisition

How it works: Advertisers can access aggregated company-level data (e.g., impressions, clicks) through LinkedIn’s certified analytics partners (Channel99, Octane11, Dreamdata, Factors.ai, Fibbler). The data is ingested into CRM-connected dashboards, giving marketers clearer visibility into ROI, pipeline acceleration, and company engagement across the funnel.

What they’re saying:

  • DataSnipper: “We can now clearly see the impact on pipeline and revenue, uncovering nearly twice as much influenced pipeline as before.”
  • Eftsure: “Reductions in cost per SQL give me strong evidence to justify investment to leadership.”
  • Inovalon: “We plan to shift budget from other channels to LinkedIn.”

What’s next. The Company Intelligence API is now available globally through LinkedIn’s B2B attribution and analytics partners. Adoption could grow as marketers seek stronger proof of performance in a tight-budget environment.

Read more at Read More

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

Reddit marketing is delicate work.

Show up with a sales pitch — or just a little too much enthusiasm for your product — and they’ll shut you down quickly. Without mercy.

But that hostility is really standards in disguise.

Redditors care about their communities. They care about real conversations and keeping the place worth coming back to.

Meet those standards, and the mood turns.

They’ll start to trust you. Sometimes, they’ll even ask where they can buy your stuff.

Reddit – Care about their communities

That’s when you know you’ve earned the hard-to-win, harder-to-fake Reddit trust.

A kind of credibility so strong it travels far beyond Reddit. (More on that later.)

This guide shows you how.

Just three hours a week of Reddit marketing, and you’ll go from an awkward outsider to a trusted regular — even if you’ve never posted before.

Useful resource: Track your Reddit growth in one place. See what’s working, where it’s working, and what’s worth doing more of. Grab the tracker here.


Reddit Is No Longer Optional for Marketers

Reddit used to be just another “forum.”

But it has now become the gravity pulling the internet into its orbit.

Dramatic? Maybe. But the proof is everywhere.

Reddit Powers Search and AI

Reddit’s partnerships with Google and OpenAI have turned it from an internet hangout to an internet heavyweight.

Google is pulling Reddit threads directly into search results. And Reddit conversations are now feeding into ChatGPT’s answers.

Run a quick Google search, such as “best protein powder brands.”

You’ll usually see Reddit featured more than once on page one.

Google SERP – Best protein powder brands

Same story with large language models (LLMs) like ChatGPT and Perplexity.

Their answers often cite Reddit as one of the sources.

ChatGPT – Answers often cite Reddit

And this isn’t just anecdotal.

A Detailed.com study shows Reddit dominates product-related search terms in Google’s new “Discussions and forums” feature.

Google SERP – Discussions and forums – Reddit

Semrush research backs this up, saying Reddit is the most-cited domain in AI answers.

Top Domains Cited on LLMs

In short:

Reddit now sits at the heart of your customers’ decision-making.

From the first flicker of curiosity to the final purchase, chances are good they’ll hit Reddit along the way.

Reddit Influences Buyer Trust

People trust Reddit more than your polished marketing.

The open grievances and the unfiltered praise make Reddit feel real in a way your ad copy never can.

Be honest:

How often do you tack “reddit” onto a Google search? I do it all the time. And Semrush data proves I’m not alone.

Keyword Magic Tool – Reddit – Keywords

That’s Reddit becoming the internet’s social proof engine.

As Rob Gaige, Reddit’s Global Head of Insights, says:

“91% of people who discover a product on another platform are passing through Reddit to validate the claims they’re finding elsewhere.”


In other words, buyers don’t just take your word for it. They take Reddit’s.

Reddit Gives You an Edge Competitors Can’t Easily Copy

There’s no copy-paste trick when it comes to Reddit marketing.

Like you, your competitors have to put in the time to learn the culture and earn their keep.

That’s why the earlier you start, the stronger your position becomes. Every month you engage, you’re stacking credibility that shortcuts can’t match.

Yes, some try to game the system. And that might work briefly.

But eventually, Reddit’s algorithms, volunteer moderators, and the community’s BS detector flush them out.

(And with spam on the rise, the rules are only getting stricter.)

Pieces of Content Removed From Reddit

The Reddit Marketing System to Build Karma & Cred

Forget Reddit SEO “hacks,” like slipping links past moderators.

That’s short-sighted thinking.

Here’s the thing:

Reddit’s power isn’t clicks. It’s credibility and influence.

Earn it inside Reddit, AND it reverberates into search results and AI answers.

Reddit Marketing

You don’t earn that trust with Reddit marketing tricks.

You earn it by contributing and becoming part of the community.

Here’s how.

(Shoutout to Ken Savage of Launch Club AI, a Reddit marketing agency, for sharing his insights from the trenches.)

Step 1: Build a Profile That Says “Redditor,” Not “Marketer”

The best way to optimize your Reddit profile? Do nothing.

A shiny, over-engineered profile from a Reddit newborn is a dead giveaway: You’re here to take, not give.

Sure, change your avatar if you like. But, resist the urge to polish.

Instead, keep it plain:

  • Leave the bio blank
  • Don’t link to your site or socials
  • Forget the “curated” look
  • Let your engagement history do the talking

Take ItsWahl, a plumber’s profile. You don’t see business links or calls-to-action. But scroll through his comments and post history, and you instantly know what he does.

Reddit – Redditor not marketer

That’s the beauty of Reddit. Reputation builds itself.

The profile follows.

Username tip: Just pick something forgettable. Maybe it’s an old gaming handle, a random word combination, or your pet’s name plus some numbers. The more unremarkable, the better.


Step 2: Get Fluent in Reddit Before You Speak

In your first week (or two) of Reddit marketing, don’t post. Just watch.

Study the culture and pay attention to tone and the little quirks of how people interact.

Why?

Because that look-at-me energy that Instagram and LinkedIn reward is exactly what gets you mocked or banned on Reddit.

How The Reddit Community Operates

Your best starting point is Reddiquette.

Reddit – Reddiquette

It’s the platform’s general code of conduct, which includes:

  • Remembering the human behind the screen
  • Using proper grammar and spelling
  • Assuming good intent until proven otherwise
  • Formatting posts and comments clearly

But here’s the twist:

Reddit isn’t one community.

It’s thousands of communities, called subreddits (subs), with their own rules and expectations.

What gets you praise in one can get you flagged in another.

For example, in r/Entrepreneur, you need 10 comment karma (Reddit points from helpful comments), and self-promotion is banned.

But in r/Pen_Swap, buying, selling, and trading is the whole point.

Reddit – Subreddit description

Think of it as two layers: global expectations and local rules.

Break either, and the community will remind you. Sometimes, not too gently.

So, before you comment or post, always check the subreddit’s rules. They’re pinned at the top or listed in the sidebar.

Reddit – Subreddit marketing rules in the sidebar

The Reddit Moderators (aka Mods) and Their Power

Moderators are the gatekeepers of subreddits.

They control how the community runs within Reddit’s sitewide rules.

You can see who moderates any subreddit by checking the sidebar and clicking “Moderators.”

Reddit – Moderators

And yes, they have powers. They can:

  • Remove posts or comments
  • Issue warnings
  • Ban users

Your mileage with mods will vary.

Most are fair and invested in building solid communities.

Reddit – Praise to the moderators

Others, less so.

As one Redditor put it, “picky and easily angered.”

Reddit – Complaints comments

What most people miss about moderators is this:

Many of them run communities with tens of thousands, sometimes millions, of members. Managing these subreddits takes an enormous amount of unpaid time and effort.

It’s really in your interest to make their jobs easier by:

  • Reading and following the rules
  • Contributing genuine value
  • Respecting their authority

Do that, and you’ll stay on their good side.

Ignore it, and you’ll learn just how much power they really have.

Reddit Language

Reddit speak is conversational and BS-free. Humor, sarcasm, and the occasional bit of self-deprecation are all part of the mix.

It’s also full of shorthand and in-jokes that longtime users expect you to know.

You don’t need to memorize them all, but it’s worth knowing the basics if you want your Reddit marketing to have legs.

Here are a few common ones.

  • OP: Original poster
  • ELI5: Explain like I’m 5
  • TL;DR: Too long didn’t read
  • TIL: Today I learned
  • OC: Original content
  • NSFW: Not safe for work
  • IIRC: If I recall correctly
  • FTFY: Fixed that for you
  • AMA: Ask me anything

Reddit Expressions

Most of these you’ll pick up through context.

But it’s worth bookmarking the full list for reference.

Karma & Voting

Karma is Reddit’s point system.

(Or, as Reddit’s “welcome” guide calls it: fake internet points.)

You’ll see your karma score in your profile sidebar, split into post karma and comment karma.

Reddit – User Semrush – Karma

Here’s why these “fake” points matter:

Karma is the closest thing Reddit has to a reputation score. It affects where you can post and how you’re perceived.

You earn it through upvotes. If people find your post or comment useful, they tap the arrow pointing up.

Reddit – Upvote and downvote arrows

But there’s a flip side to this democracy.

The down arrow — the downvote — takes karma away.

It’s the community’s way of saying “this doesn’t add value.”

The most-upvoted posts and comments rise to the top. Which means more people see them and more people engage.

(And the cycle reinforces itself.)

Those top comments also tend to spread beyond Reddit through shares or even showing up in search results.

Side note: Karma isn’t a clean one-upvote, one-point system. Reddit muddies the math to stop spam. Your goal is to earn more upvotes than downvotes and stay out of the red.


Step 3: Choose Subreddits Strategically

The subreddits you join will decide how quickly (or how slowly) you earn Karma.

Aim for a mix of niche communities tied to your expertise, plus a sprinkling of subreddits on topics you genuinely enjoy.

The rookie mistake is jumping straight into the biggest subs, hoping for easy upvotes.

But big subs move very fast. Their rules are stricter, and mods are hyper-vigilant.

Take r/AskReddit, for example, which has over 57 million members.

Reddit – r/AskReddit – Best

To stand out in your Reddit marketing, you need perfect timing, luck, and genuinely compelling content.

Otherwise, your post just disappears.

So, it’s better to start with smaller subreddits. They move at a manageable pace and are often more forgiving while you learn the ropes.

Side note: You can join as many subs as you want. Once you’ve built experience and have more time to contribute, you can always branch out to bigger subs.


How to Find Subreddits

My go-to method to find new communities is the Reddit search bar.

From the front page, type in your niche.

In the results, click “Communities,” and check two numbers:

Total members and currently online.

That ratio tells you how active a subreddit is.

For example, when I type “SEO” I see r/SEO with 421k members and 64 online, while r/seogrowth has 31k members with 16 online.

Reddit – SEO Communities

Even though r/SEO is bigger, I’d definitely consider also joining r/seogrowth as it’s more “alive.”

When you’re starting out, join 10–15 subreddits.

That’s enough range to test where you get traction. Over time, you’ll naturally narrow to 3–5 subs where you’re most active and recognized.

Getting the Lay of the Land

For your first 1–2 weeks, resist the urge to post. Just observe and absorb (aka lurking).

See which questions people ask repeatedly.

Go hang out in the comment sections. That’s where you’ll get a real feel for the community’s personality. You’ll pick up on how people joke, offer support, or tear bad ideas apart.

And above all: Read the rules.

They’re listed in the sidebar of every subreddit, and they can vary wildly.

Reddit – Rules in the sidebar of any subreddit

For example, r/nutrition has a long list of guidelines to keep discussions science-based, while r/machinedpens has only three rules.

Reddit – r/Machinedpens rules

This is also the perfect time to gauge buyer sentiment about your brand or products.

I’ve used Reddit this way for years. And it’s helped me improve product page conversions, get better returns on Meta ads, and even given sales teams a clearer picture of buyer objections.

Take a hair supplement brand I worked with.

Their Meta ads had gone flat.

So, I spent hours in subreddits like r/haircare, r/hair, and r/hairloss scanning threads for brand sentiment and figuring out the deeper psychology behind purchase decisions.

Those insights fueled a creative refresh with new campaign angles, helping turn their Meta campaigns around.

Step 4: Join Conversations Without Being Annoying (The E.A.R.S. Reddit Marketing Framework)

Three hours a week of Reddit marketing is enough to make steady progress.

Here’s how to spend it using the E.A.R.S framework:

  • Explore: 5-10 minutes/day discovering threads
  • Add insight: 10–20 minutes/day reading, upvoting, and commenting
  • Respond: One 30-minute session/week writing and publishing
  • Share: 5-10 minutes/day amplifying your posts and comments

And no, your weekends aren’t part of the deal.

Side note: Three hours is a benchmark. In practice, it’s between 2-4 hours a week. Some weeks you’ll breeze through, others will take more. The good news is that the longer you do this, the quicker and easier it gets.


Explore: Find the Right Threads (5–10 Minutes/Day)

“Explore” is your foundation for quality and time control.

Your goal is to find 4-7 threads worth engaging in every day.

Get disciplined. This shouldn’t take more than 10 minutes.

Pro tip: Set a timer. Without one, it’s easy to slip into “just five more minutes” and somehow end up deep in r/oddlysatisfying watching hedgehogs take baths. (We’ve all been there.)

Reddit – Hedgehog having a bath


Here’s what to do:

Open a few of the subreddits you joined in the previous step.

Then, filter the threads by “Rising.”

This shows new posts starting to gain traction.

Get in early, and your comment is more likely to get noticed while the thread is still developing.

Reddit – r/Bread – Sort function

Next, cross-check with “Hot” to show the top posts.

As you scan both “Rising” and “Hot,” focus on threads where you can genuinely add value.

That means:

  • Answering a question with your knowledge
  • Filling in missing context
  • Clearing up a common misconception
  • Sharing a story from experience
  • Offering practical help to a “how-to” question

How Can I Add Value to Reddit Threads

Top tip: Adjust your picks by subreddit size and activity. In large subs (over 1M members or 100+ posts/day), look for posts with 50+ upvotes and 15+ comments. In smaller subs, 5+ upvotes and a handful of comments are enough.


Add Insight: Write Comments That Get Upvotes (15–20 Minutes/Day)

Add Insight” is the engine of your Reddit SEO strategy.

It’s your daily commenting session to build trust and visibility.

(And get those karma points climbing.)

Your goal is to leave 4-7 high-value comments a day. That’s it.

To leave comments, you have two options:

  • You can reply directly to the main post by clicking “Join the conversation.”
  • Or you can reply within a thread by clicking “Reply” under someone else’s comment.

 

Reddit – Join the conversation and reply

The catch is:

What you say is only half the battle. How you format your comment decides whether people will give it the time of day.

(Because even the smartest insight dies as a wall of text.)

So, formatting matters. If you want eyes (and upvotes):

  • Break paragraphs early and often (but don’t go full broetry — that one sentence per line LinkedIn thing)
  • Use spacing to guide the eye
  • Bold key ideas when the subreddit allows it

Like this:

Reddit – Formatting text matters

You can do all this using Reddit’s built-in comment editor.

Click the “Aa” icon in the comment box, and it will expand to show formatting options similar to Google Docs.

Reddit – Formatting options

Now, comment with a purpose.

You want upvotes, and Reddit doesn’t give those willy-nilly. You get them by making the conversation better.

There are a few ways to do that.

The Explainer Comment

This is perfect when answering direct questions like “How do I…?” or “What’s the best way to…?”

Just give a direct answer with a bit of reasoning and extra info to support your answer.

Reddit – Direct answer

The Gap Filler Comment

Use this when replies are missing something important.

Acknowledge what’s already been said, then add the missing piece.

Reddit – Comment add the missing piece

The Shared Experience Comment

When the question overlaps with something you’ve been through, comment by sharing what you tried, what happened, and the key lesson.

Reddit – Shared experience comment

The Source Comment

This is great for when a thread is full of assumptions, but you’ve got credible info.

Share the source and summarize in everyday language.

And if you’re the source, by all means join in the conversation.

Reddit – The source comment

The Case Study/Lived Experience Comment

Best for when you have real-world results to share: yours or someone else’s. Great for “does this actually work” questions.

Simply outline the situation, what you did, and the outcome.

Reddit – Case study

The Checklist Comment

Sometimes, a checklist is all you need to be helpful.

This can be a step-by-step guide, tips, or just a few boxes to tick.

Reddit – The checklist comment

The Brand Comment

If your brand comes up in a thread, that’s a perfect opportunity to be visible in conversations about your brand.

Identify yourself and answer plainly.

Keep it useful, not salesy. Show that you’re listening and willing to help.

Reddit – The brand comment

Respond: Keep Threads Going (5–10 Minutes Daily)

Respond” is what separates real contributors from drive-by posters.

It’s the follow-through in your Reddit marketing process: Circling back to reply to people engaging with you.

Do this, and you:

  • Build relationships by showing you’re not just using Reddit as a bulletin board
  • Boost visibility, since every new reply bumps the thread back up the feed

Now, you might be thinking: “So…do I need to sit on Reddit all day?”

Nope. Two short check-ins are enough. One in the morning and one in the evening if you’ve got time.

That’s it. Everything else is extra.

To make it easier, you can follow your own comments.

Click the three dots under your reply and choose “Follow comment” to get notified.

Reddit – Follow comment

So, what does good follow-through actually look like?

Like any good conversation, it’s about keeping the energy alive.

Here are a few ways to do that.

Follow-Up Questions

Great for when you need more detail to give a sharper, non-cookie-cutter answer.

For example, you can ask, “What’s your timeline? That changes the advice.”

Reddit – Follow-up questions

Bonus Resources

Drop in a tool, guide, or reference that helps right away. This adds instant utility without forcing people to leave Reddit.

(Bonus: People often reply to tell you how they used it, and you usually get upvotes in return.)

Preface with something like “Here’s a free digital marketing template you can use.”

Reddit – Bonus resources

Connecting Commenters

This works great when multiple people share similar problems. Tag them with u/ and put in the username after the slash

You can say “u/username above had the same issue. Worth comparing notes.”

Reddit – Connecting commenters

Acknowledge + Build

Highlight a good point from someone else, then add your own idea. It builds goodwill while boosting your credibility.

Say something like:

“Great point, I hadn’t considered that angle. For anyone reading, here’s why it matters:“

Reddit – Acknowledge plus build

Think Before You Reply

Not every reply deserves your energy.

Here’s a quick response matrix to help you decide what’s worth engaging and what to ignore.

If the reply… Action Example Response
Adds useful detail or perspective Thank + expand “Good point, thanks. I’d also add [extra detail]”
Corrects your point respectfully Acknowledge + clarify “Fair call. You’re right in general. I was thinking of [specific angle/context]”
Comes with mild sarcasm Likely ignore No need to reply. Better to save your energy than get pulled into a spiral
Is hostile or trolling Ignore, downvote, report (No response)

Share: Publish a Strategic Post (30 Minutes to 1 Hour/Week)

At some point, you’ll want to go beyond commenting and start your own threads.

There’s no magic karma number that unlocks this.

Each subreddit sets its own bar. Some require account age or karma, others don’t care at all.

The real question isn’t “Can I post?,” but “Should I?”

That depends on softer factors:

  • How well you know the community
  • How much you understand its culture
  • How much you’ve already contributed in comments

For context, I’ve posted with less than 50 karma when I had a genuine question.

That’s different from posting to build visibility or reputation, where the bar is much higher.

Ken Savage recommends getting a karma score of 500 before posting anything that mentions your brand:

“I’ve never been removed for anything above 500 karma. You can usually get that in two to four weeks of 20 minutes per day, five days a week, commenting. The core principle is to be authentic and provide detailed, thorough answers to people’s questions, as if you were getting paid for it.”


Once you’re ready, focus on posts with weight.

That means content that has a real shot at earning upvotes and visibility. These topics often come from:

  • Your top-performing comments
  • Recurring questions people ask you
  • Threads where the same issues keep surfacing

Once you’ve got a promising topic, package it in a format Reddit loves.

Here are some of the best.

Case Studies

Great for credibility-building. Walk readers through a real experience: yours, your customers’, or someone else’s.

Set up the problem or situation, explain step by step what you did, and share the outcome. Close with a clear takeaway.

Reddit – Case study – Credibillity building

Lessons Learned & Common Mistakes

This format works when your goal is to teach.

These posts show where you went wrong and how you fixed it: the “what I wish I knew” or “what I learned” stories.

Reddit – Lessons learned

To make this work, frame the mistake or lesson clearly, share the story behind it, and then give a practical fix.

Keep it simple.

One mistake per point makes it more relatable and easier to apply.

For example, if you’re a financial advisor, your topic could be “the budgeting mistakes I see most in new families and quick fixes that help.”

Discussion Prompt

Discussion prompts flip the spotlight back to the community and get people talking.

(Exactly what you want to happen in your Reddit marketing playbook.)

They work best when you give people a chance to share their stories.

Keep the question short and specific, and follow up in the comments to keep the thread going.

Some examples include:

  • Teachers: What’s one low-cost classroom supply you can’t live without?
  • What’s the best cleaning hack you’ve found for fur all over the house?
  • What’s the most surprising product you’ve found through ecommerce AI search?

Reddit – Discussion prompt

Checklists & Step-by-Step Tips

Checklists help people self-diagnose and improve.

They work best when Redditors in the community are often worried they’re “doing it wrong” and want a quick way to check.

For example, if you’re in the beauty niche, you can post a topic on “a 4-step test to see if your skincare routine is helping or hurting.”

Then, break the process into 3–7 simple checks and explain why each one matters.

Here’s a Redditor who nails this format.

Reddit – Step-by-step tips

Myth-Busting

Myth-busting posts are always welcome on Reddit, especially in spaces where misinformation spreads fast.

Lead with the myth people believe and then refute it with proof or experience.

For example, a good topic in personal finance could be “the 3 biggest myths about credit scores and what actually improves them.”

Reddit – Myth busting

Behind-the-Scenes

These posts pull back the curtain and show how things work.

They get a lot of upvotes because people love insider knowledge, especially when it reveals details they wouldn’t otherwise see.

Set the context, share the surprising or little-known details, and close with why it matters.

If you’re launching a new product, for example, you could show how it’s made and the trade-offs you wrestled with.

Reddit – Behind the scenes

Free Resource

Offer something the community can actually use.

Spreadsheets, calculators, templates, swipe files, SEO checklists, mini-guides, code snippets.

Basically, the stuff people would normally charge for, but you’re cool enough to give away.

Reddit – Free resource

A few things to keep in mind:

  1. Experiment with timing to find the best time to post. Generally, early weekday mornings and early evenings outperform weekends, but test for your specific communities.
  2. Stick around after you post. Reply to comments and amplify good responses to help the thread grow.
  3. Repurpose smartly. If a post lands, adapt it for 2–3 related subreddits. Tweak the angle and tone for each community. Plus, space them a few days apart to avoid looking spammy. Also, always check the subreddit rules. Some subs ban cross-posting or set timing restrictions.

Reddit Best Practices: How to Talk About Your Brand Without Getting Banned

Big caveat up front:

Don’t even think about promoting your brand until you’ve built karma and credibility.

Jumping in too early is the fastest way to get downvoted.

Once you’ve established trust, here are three ways to bring your brand into the conversation.

The Profile Discovery Method

This method keeps your brand mentions off your comments and lets your profile do the “selling.”

Your comments are focused on helping, and you let curious readers click through if they want to know more.

Pro tip: Once you’ve built some credibility, you can add a short professional bio or link your site/socials in the designated profile fields. Established Redditors do this on their profile.

Reddit – Short professional bio


The Expertise Sharing Method

This approach uses your role or business as context for why your perspective matters.

It signals credibility without sounding like a sales pitch.

Reddit – The expertise sharing method

Important: Don’t force it. If your comment works just as well without the brand mention, cut it. If not, Redditors might call that self-serving. No bueno for your karma.


The Direct Mention Method (Use Sparingly)

This Reddit marketing method involves naming your brand or product in comments. It’s a risky approach. So, make sure it adds to the conversation.

The key is balance:

Don’t make it an ad, and don’t act like your product is the only solution.

Reddit – The direct mention method

Ways You Can Lose Karma (& Trust)

Now, let’s talk about the fastest ways to torpedo your reputation and send your karma into free fall.

In short, things not to do.

Posting Like You’re on LinkedIn

Polished “thought leadership” and humblebrags are vomit-inducing on Reddit.

What’s modus operandi on LinkedIn reads as braggy here.

Keep it casual, conversational, and other-focused. Always.

Karma Farming

Yes, you can farm karma with memes and throwaway comments.

But that’s empty calories. It might get you numbers, but it won’t get you credibility.

And if you’re not building relationships and contributing to the community, you’re missing the whole point.

Link-Dumping for Quick Clicks

Dropping bare links or thinly disguised self-promo is Reddit’s oldest sin.

If your post exists just to drive clicks, expect downvotes.

Side note: Even if you play by the rules, downvotes happen. Bots filter posts. Mods nuke comments for reasons you’ll never know. That’s just Reddit being Reddit. Let it go and move on. You’ve only got three hours a week to spend here.


Stop Marketing, Start Belonging

This Reddit marketing strategy isn’t about farming karma.

Sure, you’ll earn enough to look legit and stop tripping newbie filters.

But the real win is this: You’ll start thinking like a Redditor.

And you’ll shed the marketing reflexes that get you downvoted and booted off threads.

With that, you become a trusted Reddit local.

And that’s when the ripple effect kicks in. You get seen more on Google. And through LLM seeding — where AI models pull from sources they trust — you also influence AI answers.

Bottom line: Play Reddit right and you etch your brand in a positive light into the internet’s DNA.

The post Reddit Marketing in 3 Hours/Week: From 0 Karma to Real Cred appeared first on Backlinko.

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Schema and AI Overviews: Does structured data improve visibility?

Schema and AI Overviews: Does structured data improve visibility?

A controlled test compared three nearly identical pages: one with strong schema, one with poor schema, and one with none. 

Only the page with well-implemented schema appeared in an AI Overview and achieved the best organic ranking. 

The results suggest that schema quality – not just its presence – may play a role in AI Overview visibility.

Schema, AI Overviews, and the need for proof

AI Overview visibility is becoming increasingly important to businesses.

One debate within the SEO community has stood out: Does adding schema improve the chances of being cited in an AI Overview?

Schema was created to make webpages more machine-readable, and it has even been shown to help large language models – like Microsoft’s – better interpret content freshness. 

That makes it tempting to assume schema is a best practice for AI visibility. 

Still, AI Overviews are the result of complex and layered processes. 

It’s difficult to draw firm conclusions from logic alone or from limited glimpses into one part of a model’s behavior.

That uncertainty is what motivated us to run a controlled experiment.

  • In earlier work, Molly analyzed 100 healthcare sites and found a slight correlation between schema use and AI Overview visibility. But the correlation was not statistically significant, and the analysis had two limitations: it didn’t assess the quality of the schema, and because it wasn’t an experiment, site differences in content, structure, and audience couldn’t be controlled.
  • At the same time, Benjamin’s experiments showed that ChatGPT retrieved information more thoroughly and accurately from pages with structured data. Those findings pointed to schema’s role in AI visibility, but they didn’t address Google’s AI Overviews.

With those perspectives in mind, we decided to collaborate on a test that would build on Molly’s earlier analysis and extend Benjamin’s experiments into Google Search – focusing directly on whether schema quality plays a role in AI Overview visibility.

Dig deeper: AI visibility: An execution problem in the making

The setup: Three sites, three schema approaches

We built three single-page sites to compare schema directly: 

  • One with well-implemented schema.
  • One with poorly implemented schema.
  • One with none. 

Aside from schema, the pages were kept as similar as possible, with keywords chosen to match in difficulty and search volume. 

After publishing, we submitted all three for indexing to see whether they would rank – and, more importantly, whether any would appear in an AI Overview.

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The result: Only the page with well-implemented schema appeared in an AI Overview

The page with well-implemented schema was the only one to appear in an AI Overview. 

It also ranked for six keywords in traditional search, reaching as high as Position 3. 

Rank 3 was the highest conventional search rank achieved by any page in our experiment, and it was also the query that triggered the AI Overview appearance.

Google AI Overviews - data pool vs data lake

The page with poorly implemented schema ranked for 10 keywords and peaked at Position 8, but none of its queries surfaced in an AI Overview.

The page with no schema was crawled by Google within minutes of the others, but was not indexed. 

Without indexing, it didn’t rank for any keywords and could not appear in AI Overviews.

Methodology: How we controlled for variables and defined ‘good schema’

To isolate schema as the variable, we kept everything else about the test pages as consistent as possible – from keyword choice to site setup.

Keyword selection

We used Ahrefs to choose three keywords with identical metrics. Each returned an AI Overview at the time of selection:

  • “How much does a marketing team cost.”
  • “What are common elements in the promotional mix.”
  • “Data pool vs. data lake.”

Metrics (Ahrefs)

  • Keyword difficulty: 3
  • Monthly search volume: 60
  • Traffic potential: 20

We also chose keywords that were qualitatively similar and within the same general industry (marketing/martech).

Site build controls

All three were single-page sites deployed on Vercel, with the following constraints applied consistently:

  • No JavaScript.
  • No custom domain name or homepage.
  • No sitemap.
  • No robots.txt file.
  • No canonical tags.

Schema treatments

To create a page that exemplified a solid implementation of schema best practices, we included:

  • Complete Article schema with all required fields.
  • FAQ schema for common questions.
  • Breadcrumb navigation schema.
  • Proper date formatting.
  • Author and publisher information.
  • Educational level and audience targeting.
  • Related topics and mentions.
  • Word count and reading time.

We deliberately introduced errors into the poor schema page, including:

  • Incomplete Article schema (missing required fields).
  • No FAQ schema despite having FAQ-like content.
  • Missing breadcrumb navigation schema.
  • Incorrect date format.
  • Missing essential properties.

The third site was built without any schema at all. 

All three sites were submitted to Google on Aug. 29 and crawled the same night.

Interpreting the results: Promising, but inconclusive

We don’t consider these results to be absolute proof that well-implemented schema plays a role in AI Overview presence. 

However, the story is clear: the page with well-implemented schema was the winner in our small, carefully controlled test. It achieved the best organic rank and was the only page to appear in an AI Overview.

We don’t see any obvious alternative explanation for why this happened, either. 

The “no schema” page had the lowest word count of the three pages, but word count shouldn’t matter.

What’s next

There’s still more to do. 

Unseen variables could have muddied the waters, and there’s always the possibility that our results were simply a coin-flip-style fluke of the Google algorithm.

As a follow-up, we plan to de-index the pages, create new pages with identical content, and then swap the schema. 

We want to see if putting schema on the “no schema” page gets it indexed and ranked. That would be a very compelling result indeed.

Appendix

For those who want to review the test materials directly, here are the URLs of the sites and supporting documentation:

Test pages

Code repositories

Google Search Console screenshots 

The following screenshots show indexing and enhancement status:

GSC - Well-implemented schema page
GSC - No schema page
GSC - Poor schema page

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