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Getting Cited by AI Search Engines

Generative engines answer questions by quoting a handful of pages out of a much larger retrieval pool. This track covers what decides which pages get quoted: crawler access, index membership, passage structure, entity recognition, and how to measure any of it without inventing numbers.

11 articles ~69 min total Ordered — each part builds on the last
After this track
  • Get your pages into the retrieval pools that ChatGPT and Perplexity draw from
  • Write passages an answer engine can lift verbatim without paraphrasing around you
  • Tell a real citation lift from a measurement artefact in your own analytics
The reading path Reading order is the dependency order
  1. 1
    GEO for Small and Local Businesses Start here A plain-language introduction to GEO for local business owners: how AI assistants pick which businesses to recommend, and the five fixes to make first.
    6 min read
  2. 2
    AI Overviews vs Featured Snippets Featured snippets extract one passage; AI Overviews (formerly SGE) synthesize many. One page can win both — if you structure answers for two different machines.
    5 min read
  3. 3
    Writing for Conversational Search Conversational queries run 3-4x longer than typed search and get decomposed before retrieval. How to structure content for the sub-queries engines actually run.
    8 min read
  4. 4
    How to Get Cited by ChatGPT Search A practical playbook for earning ChatGPT Search citations: OAI-SearchBot access, Bing indexing, quotable stat lines, and GA4 tracking of AI referral traffic.
    5 min read
  5. 5
    Reddit, OpenAI and ChatGPT Citations Why Reddit threads shape what ChatGPT says about your brand, and what to do about a niche where the forums recommend someone else.
    7 min read
  6. 6
    Making a Brand Legible to AI Models Turn your brand into a machine-verifiable entity: Organization schema, sameAs bridges, Wikidata anchors, and the consistency checks LLMs run before citing you.
    6 min read
  7. 7
    Inverted Pyramid Writing for AI Retrieval RAG pipelines retrieve chunks, not pages, and they favour the opening of a document. How inverted pyramid structure and chunk-aligned writing win AI citations.
    6 min read
  8. 8
    Measuring Information Gain in Content Information gain is what a page adds that the pages already ranking do not. How to judge it before publishing, rather than after Google declines to index.
    5 min read
  9. 9
    GEO Metrics Worth Actually Measuring Position-Adjusted Word Count, G-Eval scoring, AICF and generative SOV: which GEO metrics matter, how each is computed, and which ones belong in reports.
    5 min read
  10. 10
    What the Pew 68k Search Study Found What Pew Research measured across 68,879 real searches: how often people click a web result when an AI summary sits above it, and how often they do not.
    8 min read
  11. 11
    How to Grade GEO Research Evidence Most GEO statistics trace back to a handful of studies, quoted with rising confidence and falling accuracy. How to check one before you repeat it.
    8 min read
After this track
Track 02 · 4 articles Technical AI Infrastructure The plumbing that decides whether AI systems can read you at all.
Track 03 · 8 articles Static Site Architecture & Performance Hugo on Cloudflare Pages: hosting, caching, canonicals and Core Web Vitals.
Track 04 · 5 articles Data-Driven Content Strategy Deciding what to write from Search Console and Trends, not from a hunch.
Track 05 · 2 articles Local Business & YMYL Search The dental clinic playbook, and the evidence standard medical content is held to.