MarketLensGEO & AI Citations
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
- 1Introduction to GEO for Local Business Owners: Surviving AI Search 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
- 2Google SGE vs. Featured Snippets: Dual Optimization Strategy 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
- 3Conversational Query Structures for ChatGPT & Perplexity 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
- 4ChatGPT Search Citations: How to Get Cited in OpenAI Search Results 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
- 5The Reddit API & OpenAI Partnership: How Forum Sentiment Dictates ChatGPT Citations OpenAI licensed Reddit's real-time API in 2024. Here is how forum threads enter ChatGPT's answers, why sentiment beats keywords, and how to participate without getting banned.7 min read
- 6Optimizing Brand Entities for AI Models & Knowledge Graphs 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
- 7Structural Extractability for RAG: Inverted Pyramid & Positional Retrieval Bias 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
- 8Measuring Information Gain & Content Novelty Scores for AI Engines Quantify information gain before you publish: embedding-based novelty scoring, a Python workflow, and the thresholds that separate cited pages from ignored ones.5 min read
- 9Academic vs. Commercial GEO Metrics: Quantifying Visibility with G-Eval & AICF 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
- 10The Pew Research 68k Search Study: Behavioral Click Redistribution in AI SERPs Pew Research tracked 68,879 real searches through browser panel data. Here is what it found about AI Overview click behavior — and how to read it against your own GSC.8 min read
- 11How to Grade GEO Research Evidence and Spot Laundered Statistics Most GEO advice cites the same studies badly. Grade sources by evidence tier, trace a laundered statistic in three hops, and keep a research ledger in your repo.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 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
The dental clinic playbook, and the evidence standard medical content is held to.