A growing library of short, practical videos designed to help marketers, founders, and SEO professionals understand how to dominate visibility in AI-driven search. Each episode breaks down key tactics in Answer Engine Optimization (AEO) — from building strong entity foundations and optimizing structured data to earning real citations inside ChatGPT, Gemini, Perplexity, Copilot, and Google’s AI Overviews.
Every video lives on its own dedicated page featuring a full transcript, supporting visuals, and structured schema markup, ensuring both humans and AI systems can easily interpret, quote, and cite the original source. This creates a self-reinforcing visibility loop: your content educates people while training AI models to recognize your brand, your name, and your expertise as authoritative in the AEO space.
Together, these pages form an evolving AI Search Visibility Hub — a living blueprint for how brands can future-proof their discoverability as search continues to shift from keywords to knowledge graphs, context, and credibility.
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Watch the AEO Mastery videos.
Video 1 – Answer Engine Optimization with Kevin C. Roy — The Future of SEO in the Age of AI
Why AEO is about earning citations inside AI answers and how to structure pages, schema, and authorship so you get quoted.
Video 2 – ReRanker-Guided Retrieval is Coming to AI
What RGR means for AI search: how systems choose sources before ranking, and how to format pages to be chosen.
Video 3 – The Beer Blog Post that Proved How LinkedIn & Author Identity Help You Rank in AI
A real example of an unexpected page being cited in ChatGPT — and how Author → Org → Topic alignment made it happen.
Video 4 -Learn how Entity Stacking builds AI trust by linking your name, brand, and expertise. See how ChatGPT and Gemini verify credible entities in search
Modern AI search is built on trust, not keywords. Entity Stacking is how you prove to AI systems that your content is credible by aligning your identity, your organization, and your expertise across every platform you appear on.
Video 5 – Get Cited by ChatGPT & Gemini: How to Structure Citation-Ready Pages Using AEO – Plus my famous Banana Bread Recipe
If you want AI search engines to cite your content, trust can’t be an accident — it has to be engineered. In this episode, I show you exactly how AI decides what to include in its answers, and how even something as simple as my Banana Bread recipe becomes a perfect example of a “citation-ready” page.
Video 6 –Gemini 3 Just Changed Google Search Forever
Google just rolled out Gemini 3 and activated its new reasoning engine Deep Think directly inside Search — without a beta, without a labs period, and without warning.
This update fundamentally changes how Google Forms answers.
Video 7 – AEO ( Answer Engine Optimization) and GEO ( Generative Engine Optimization) are NOT the Same thing!
AI search doesn’t treat AEO and GEO as the same job — and if you do, you’ll disappear from ChatGPT, Gemini, and Perplexity.
Video 8 – Schema Mountain Part 1- Green Circle Trails!
The Green Circle Runs (Beginner Schema Every Website MUST Build for AEO & GEO)
This video starts with the Basic “Beginner” Schema that every site should have
Video 9 – Schema Mountain Part 2- Blue Square Runs!
Blue Square Trails for Authority, Visibility & AI-Ready Content
These are the intermediate trails that build: Authority – Rich results – Topic depth – AI citation potential – And real visibility inside ChatGPT, Gemini, Perplexity, Claude, and Copilot
Video 10 – Schema Mountain Part 3- Black Diamond Expert Runs!!!
The snow is thinner, the runs are steeper, and this is where most SEOs tap out. These are the expert schemas that turn your brand into a ‘source of truth’ for AI.”
Video 11 – Google AI Mode Update: How to Win In-Line Links & Citations
Google just made a move that looks small, but it changes the entire click economy. They are adding more in-line links inside AI Mode—and each link now comes with a context blurb
Video 12- The “Visual Analogy” Hook! The Christmas Lights / 3-Block Blueprint
To the human eye, it looks like a “Wonderland.” But if you look closer, it’s just a bunch of 2x4s, scrap wood, and cheap string lights organized into a repeatable system. Click to learn how to structure a perfect AEO/ GEO page!
Video 13- Dominate AI Rankings in 2026: Your 90-Day AEO + GEO Roadmap
If you want your site to win in ChatGPT, Gemini, Perplexity, Claude, and Grok in 2026, you don’t just need more blog posts. You need a completely different roadmap.
To win this year, you must shift your focus to AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). The goal is no longer just to “rank a page”—it is to become the cited source inside the AI’s answer.
Video 14- Dominate AI Rankings in 2026: Your 90-Day AEO + GEO Roadmap- Part 1 of 4 – Retrieval Readiness
If your page is slow, has a bunch of broken links and is not formatted so that Chat, Gemini, Perplexity and your other favorite AI engines can read.. you wont show! This is how to make your pages Retrieval Ready!
Video 15- Dominate AI Rankings in 2026: Your 90-Day AEO + GEO Roadmap- Part 2 of 4 – Retrieval Readiness
This video breaks down a simple framework I use to turn a normal post into something that’s far more likely to show up inside AI answers:
Answer Block → Proof Block → Next Click Block No fluff. No theory. Just the architecture.
Video 16- Dominate AI Rankings in 2026: Part 3 of 4 – Entity Trust + Schema Stacking – Answer Engine Optimization (AEO) Agency Strategy
In this video you will learn how to build Entity Trust with human signals, brand mention authority, and Schema Stacking (Organization + Person + SameAs) so AI can verify you fast.
Video 17 – Authority Distribution: The Force Multiplier –Part 4 of 4 – Dominate AI Rankings in 2026
In this video, you will learn that Authority Distribution is the force multiplier that turns one good idea into a web of proof.
Video 18 – January AI Search Update: Highlights, Takeaways & the New Rules for AI Citations
If you feel like your SEO is “working” but the results are getting smaller, you’re not alone.
A lot of sites still rank, yet fewer people click, fewer pages get referenced, and AI answers do more of the explaining.
That is what this January update is really about: the gap between ranking and being used as the source.
The video is the walkthrough. This page is the companion: highlights, takeaways, and a checklist you can apply without rewatching.
Video 19 – The 3 Headings AI Engines Extract First : The Fastest Fix for AI Citations
This video covers the three headings AI engines grab first, what those headings signal, and how to fix your structure without rewriting your entire site.
Video 20 – Google did not kill SEO, It Just Killed this Tactic
Video 21 – Stop Writing Blog Intros Like This (AI Skips Them)
Most blog posts still start with a mini essay that explains nothing. AI doesn’t read your page like a human. It scans for answer-ready sections. Read more to find out which ones.
Video 22 – Stop optimizing for AI in the dark. Microsoft just “turned on the lights” AI Visibility dashboard!
Microsoft introduced “AI Performance” inside Bing Webmaster Tools — a view into when your site is cited in AI answers (including Microsoft Copilot and AI summaries in Bing).
Video 23 – Google AI Overviews Link Hover Cards: How to Win the Click From Citations
Google is upgrading AI Overview citations into hover-card previews that show a list of sources with site names, favicons, short descriptions, and sometimes images. That means you’re no longer just optimizing to get cited—you’re optimizing to win the click after the citation shows up. To win clicks from these previews, rewrite your meta description as a mini answer (answer + proof), use a featured image that matches the query topic, and tighten entity clarity above the fold (title/H1/early headings match the language people search)
Video 24 – Google Gemini 3 Shift Reshuffled AI Citations
Google did not just update the model behind AI Overviews. It changed the citation layer. After Gemini 3 became the default model behind AI Overviews, roughly 42 to 46 percent of domains that were previously cited reportedly stopped appearing, while the number of cited sources per query increased. The takeaway is direct: rankings still matter, but they are no longer a reliable proxy for citation visibility inside the AI layer.
Video 25 – 6 Fast Fixes to Earn More AI Citations This Week
AI citation wins come from cleaner formatting, faster rendering, stronger provenance, and clearer answers. Kevin C. Roy breaks down six fast fixes teams can ship this week: add page-top answer blocks, create Bing-friendly direct answers, improve Largest Contentful Paint, write lift-ready answer sentences, control snippet text, and strengthen E-E-A-T signals with real authors, methodology, and source links.
Video 26 – Gemini Tool-Combo Maps Grounding Playbook for One Location Page
This playbook shows how to turn one location page into a stronger AI-search asset. The core move is simple: let Gemini ground place facts from Google Maps, let your own /metadata.json return differentiator facts, and let your contact page prove those facts in visible HTML. The result is a page that is easier for AI systems to trust, reuse, and cite for place-level answers.
Video 27 – Seed a Premium Source in 48 Hours
You cannot become an official Perplexity Premium Source in 48 hours unless you are entering a partner integration deal. What you can do is build one page that behaves like a premium-quality source: clear answer, visible proof, visible provenance, and a repeatable testing process.
Video 28 – Fixing AI-Era Brand Decision Hijacks
Search behavior changed. Buyers can now see an AI summary before they ever visit your site, and that summary can frame the decision. This post breaks down Kevin C. Roy’s practical fix: publish short canonical answers, align schema, expose important facts in machine-readable formats, build corroboration, and test the result.
Video 29 – 5 Compliance Traps Blocking AI Publisher Approvals
Most AI publisher approval failures are not content failures. They usually come from identity confusion, sloppy technical setup, weak author and publisher transparency, policy risk, and unclear licensing or monetization terms. The fastest fix is to build one clean approval packet that makes trust, ownership, setup, and business terms easy for a reviewer to verify.
Video 30 – Entity Graphs and Recency Signals Are Starting to Converge
Google’s March 2026 spam and core updates landed at the same time AI answers became a bigger part of search. That changes the job of a page: it does not just need to rank, it needs to be understood, timestamped, connected to a clear entity, and structured well enough to cite.
Video 31 – 4 File Types AI Actually Prefers for Citations
LLMs do not prefer one magical file type. They prefer a clean citation package: a focused HTML page, a matching JSON endpoint, a durable PDF mirror, and transcript-backed media at stable URLs. When those assets say the same thing, AI systems can fetch, ground, verify, and quote your content with less ambiguity.
Video 32 – Google’s 2026 Core Update: Why “Good Content” Is No Longer Enough
Google’s March–April 2026 core update is not a penalty. It is a system-wide recalibration that gives more weight to relevance, trust, and real experience across traditional rankings, Discover, and AI-driven results. Generic pages, rewritten summaries, and weak trust signals are losing visibility. Pages that clearly answer the query, prove expertise, and make that proof easy to verify are gaining ground.
Video 33 – 3 AI Visibility Experiments That Reveal How ChatGPT, Gemini & Google Actually Choose Sources
Recent AI visibility experiments show that answer engines do not simply rank pages. They choose sources based on signal availability, extraction clarity, authority, and reinforcement across other trusted sources. That means one strong negative signal can shape your brand narrative, while one well-structured page or micro study can sharply increase citations. The win is not more content.
Video 34 – LLMs.txt Standard: How to Help AI Understand Your Site Faster
LLMs.txt is a plain text file placed at the root of your website that helps AI systems find your most important pages, structured data, and usage guidance faster. It does not replace SEO, and it is not a ranking hack. Its job is to reduce guesswork so AI can interpret your site more cleanly and pull the right content more consistently. If you want better AI understanding, cleaner extraction, and stronger citation readiness, this is one of the simplest starting points.
Video 35 – AI Citations Are Converting Better Than SEO Traffic (Here’s Why It Matters)
AI traffic from ChatGPT, Gemini, Perplexity, and Google AI Overviews is converting better than traditional organic traffic because the user journey starts later and with more trust. These users are usually not browsing. They are validating. That changes what matters: the new win is not just ranking, but becoming the source AI cites and measuring how that visibility turns into revenue.
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Answer Engine Optimization Topics we cover
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AEO fundamentals and page archetypes (Q→A, FAQ, How-To, Definitions)
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Entity stacking: Author → Organization → Topic alignment
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Minimal, high-signal schema (Author, Organization, FAQ/QAPage, VideoObject)
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Transcripts, timestamps, and extractability
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Measuring AI citations (beyond rankings)
Start with the foundations
Explore the foundation of Answer Engine Optimization, then go platform-specific: visibility in ChatGPT, Gemini, and Perplexity. Implement Author Schema to reinforce entity alignment across your site.
Work with us
Want your brand cited inside AI answers? See how our AEO programs build entity strength and citation pathways. Book a strategy call.
Kevin C. Roy is a performance-driven leader who has built his career around providing vision for profitable growth strategies, products, services, and new market entries. Throughout his career, he has delivered tens of millions of dollars in revenue for private and public organizations in technology, finance, manufacturing, non-profits, retail, defense, biotech, fintech, and many other businesses. As a change agent, he has a proven history of increasing profitability and finding innovative solutions to complex issues. Kevin excels at building collaborative, cross-functional relationships that improve business outcomes, enhance customer experience, and drive up annual profit margins.
As a nationally recognized business owner, Kevin is a champion of marketing, branding, and advertising strategy. He has implemented innovative technologies with SEO, SEM, web analytics, digital commerce, online, and social media spaces, making him a pioneer in digital marketing in the Boston market for over 15 years. His consistent efforts have earned him a top spot in Inc 5000’s Fastest-Growing Companies. Kevin has helped national brand names achieve greater conversions in an ever-complex digital marketing landscape. His expertise in digital marketing, combined with his experience in leadership and his passion for innovation, make him an invaluable asset to any organization looking to grow and thrive in today’s digital age.
