Everything, in one list
Directory
Every page on this reference — 24 entity pages across two categories and 14 guides across three silos — with the evidence verdict for each.
| Page | Category | Evidence | What it is |
|---|---|---|---|
| AI Overviews | AI Search Surfaces | Documented | Google's generated answer block inside Search |
| AI Mode | AI Search Surfaces | Observed | Google's conversational search surface |
| ChatGPT search | AI Search Surfaces | Unsupported | OpenAI's web retrieval layer inside ChatGPT |
| Perplexity | AI Search Surfaces | Unsupported | The answer engine where citation is the product |
| Gemini | AI Search Surfaces | Unsupported | Google's answer app, outside Search and unreported |
| Microsoft Copilot | AI Search Surfaces | Observed | Bing-grounded answers with real publisher reporting |
| AI assistants and smaller engines | AI Search Surfaces | Unsupported | Claude, Meta AI, DuckDuckGo, Brave and Grok |
| Generative Engine Optimization | Techniques and Signals | Unsupported | What GEO claims and what the evidence supports |
| Answer Engine Optimization | Techniques and Signals | Unsupported | Whether AEO is a discipline or a label |
| GEO vs AEO vs SEO | Techniques and Signals | Unsupported | How the three terms relate, overlap and differ |
| AI Citations and Source Selection | Techniques and Signals | Observed | How AI answers pick and credit their sources |
| Brand Mentions in AI Search | Techniques and Signals | Unsupported | Whether unlinked mentions move AI answers |
| Schema Markup for AI Search | Techniques and Signals | Unsupported | What structured data does and does not do |
| FAQ Markup and Answer Extraction | Techniques and Signals | Unsupported | The markup is dead; the writing pattern is not |
| Content Chunking and Passage Retrieval | Techniques and Signals | Observed | Retrieval matches spans of text, not URLs |
| Entity Grounding and the Knowledge Graph | Techniques and Signals | Unsupported | Whether being a known entity gets you cited |
| E-E-A-T Signals in AI Search | Techniques and Signals | Unsupported | A rater framework, carried into a silence |
| AI Crawler Directives and llms.txt | Techniques and Signals | Unsupported | Which tokens matter, and which file nobody reads |
| Retrieval-Augmented Generation | Techniques and Signals | Documented | The mechanism behind every cited AI answer |
| Query Fan-Out | Techniques and Signals | Documented | One question, many searches, one answer |
| AI Visibility Tracking | Techniques and Signals | Observed | Measuring whether AI answers cite or name you |
| AI Overview Rank Tracking | Techniques and Signals | Unsupported | Tracking presence and citation inside AI Overviews |
| Share of Voice in AI Search | Techniques and Signals | Unsupported | A borrowed fraction with no real denominator |
| AI Search Attribution and Analytics | Techniques and Signals | Observed | Proving an AI answer sent the visit |
| Page | Silo | Evidence | What it is |
|---|---|---|---|
| Understanding AI search | Understanding AI Search | Observed | What AI search is, how a generated answer is assembled, and how to read the studies that claim to measure it. |
| Optimizing for AI search | Optimizing for AI Search | Documented | The documented requirements for appearing in AI answers, and the widely sold tactics that failed replication. |
| Measuring AI search visibility | Measuring AI Search Visibility | Observed | What the platform reports contain, why one measurement is one draw from a distribution, and what a defensible AI visibility report discloses. |
| How AI search engines choose what to cite | Understanding AI Search | Observed | The retrieve, use and cite decisions pulled apart, with what each platform documents and what four contradictory overlap studies actually measured. |
| What changed when AI Overviews launched | Understanding AI Search | Documented | The rollout dated from SGE onward, each publisher click study named with its sample and funder, and the numbers that get confused with each other. |
| Why AI search traffic behaves differently | Understanding AI Search | Observed | The three things called AI traffic, what the large panels agree and disagree on, and why the direct-traffic gap is a mechanism without a magnitude. |
| How to Rank in AI Overviews | Optimizing for AI Search | Observed | The honest answer to the most-asked question in AI search: there is no separate ranking system, and what genuinely follows from that is narrower than most advice admits. |
| Structuring Content for Answer Extraction | Optimizing for AI Search | Observed | The markup died in May 2026 with no blog post. The editorial pattern it was confused with was never the same thing and never depended on schema. |
| Technical Requirements for AI Crawlers | Optimizing for AI Search | Documented | Which user-agent token does what, which ones cost you visibility if you block them, and the one Google token that does not do what its name suggests. |
| AI Search Visibility for Law Firms | Optimizing for AI Search | Unsupported | Almost nothing legal-specific about AI search has been independently measured. What the evidence supports, and what the advertising rules already cover. |
| How to track AI Overview visibility | Measuring AI Search Visibility | Observed | What can honestly be measured about an AI Overview citation, what Google has reported since June 2026, and how many samples a number needs before it means anything. |
| How to evaluate an AI visibility tracking tool | Measuring AI Search Visibility | Unsupported | What a tool in this category can and cannot answer, why two honest tools disagree about the same brand, and the disclosures a number needs before it belongs in a report. |
| What AI search analytics can and cannot tell you | Measuring AI Search Visibility | Documented | A dated ledger of what Google Search Console, Bing Webmaster Tools, analytics and server logs each report about AI search, and the questions none of them answer. |
| Building an AI visibility report that survives scrutiny | Measuring AI Search Visibility | Observed | What belongs in an AI visibility report, how to sample so that a change can be told apart from noise, and the comparisons to keep off the page. |