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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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?
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
1
28.0%
19.0%
-32%
2
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
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
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.
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
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:
Track how AI assistants mention your brand.
Show how your business is represented in AI-generated answers.
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.
CTRs remain essential but insufficient for measuring true search success
AI brand mentions and citation quality predict long-term visibility better than traditional rankings
Structured data and semantic optimization determine inclusion in the AI-generated responses
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.
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 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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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.
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).
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).
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.
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.
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.
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.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2025/09/Microsoft-Ads-800x450-6TlAMB.jpg?fit=800%2C450&ssl=1450800http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-09-23 15:21:272025-09-23 15:21:27Microsoft clarifies nonprofit ad grant program status
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.
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2025/09/5-tests-to-run-to-drive-growth-with-LinkedIn-Ads-4IxBUw.webp?fit=1920%2C1080&ssl=110801920http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-09-23 13:00:002025-09-23 13:00:00LinkedIn Company Intelligence API links ads to pipeline, revenue
Their answers often cite Reddit as one of the sources.
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.
Semrush research backs this up, saying Reddit is the most-cited domain in AI answers.
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.
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.)
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.
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.
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.
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.
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.
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.”
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.
Others, less so.
As one Redditor put it, “picky and easily angered.”
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
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.
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.
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.
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.
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.
For example, r/nutrition has a long list of guidelines to keep discussions science-based, while r/machinedpens has only three 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.)
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.
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
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.
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:
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.
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.
The Gap Filler Comment
Use this when replies are missing something important.
Acknowledge what’s already been said, then 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.
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.
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.
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.
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.
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.”
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:“
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.
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.
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?
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.
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.”
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.
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.
A few things to keep in mind:
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.
Stick around after you post. Reply to comments and amplify good responses to help the thread grow.
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.
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.
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.
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.
http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png00http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-09-23 12:49:002025-09-23 12:49:00Reddit Marketing in 3 Hours/Week: From 0 Karma to Real Cred
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.
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.
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.
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:
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.
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:
https://i0.wp.com/dubadosolutions.com/wp-content/uploads/2025/09/Google-AI-Overviews-data-pool-vs-data-lake-MyzdfU.webp?fit=1600%2C862&ssl=18621600http://dubadosolutions.com/wp-content/uploads/2017/05/dubado-logo-1.png2025-09-23 12:00:002025-09-23 12:00:00Schema and AI Overviews: Does structured data improve visibility?