◆Domain Domain Stable

GEO & AI Search

Generative Engine Optimisation: engineering content so AI answer engines retrieve, quote and attribute it.

ID
SS-DM-006
Version
1.0
Confidence
Established · 76
Evidence
Emerging
Updated
2026-07-08
Review
2026-09-08

Purpose

Overview

GEO & AI Search is the discipline of being cited inside AI-generated answers. It covers how retrieval and grounding actually select sources, how to engineer citable passages (answer-first structure, extractable claims, corroboration), and how each engine - ChatGPT, Perplexity, Google AI Overviews, Copilot, Gemini, Grok, DeepSeek - differs in what it cites. This is the fastest-moving domain in the Method and the one SearchScore was built for.

Business problem

Buyers increasingly ask ChatGPT, Perplexity and AI Overviews - and the brand simply is not in the answer.

KPIs for this domain

  • Citation Readiness Index
  • AI citation frequency
  • Share of AI answers
  • Engine coverage breadth

Inside this domain

Capabilities 1

◈Capability 75 Citation Engineering Engineer content that AI answer engines can extract, quote and attribute - turning pages into citable sources.

Frameworks 1

▤Framework 75 Citation Engineering Framework Engineer pages so AI answer engines can extract, quote and attribute a self-contained claim to you.

Patterns 2

◇Pattern 74 AI Does Not Recommend Brand AI engines answer category questions without mentioning you. ◇Pattern 74 No AI Citations AI answer engines never cite the site as a source.

Decisions 6

⌥Decision 76 Should I add FAQs? When an FAQ section will improve coverage and citability. ⌥Decision 80 Should I allow AI crawlers? When you must decide whether to permit or block bots like GPTBot, ClaudeBot and PerplexityBot. ⌥Decision 74 Should I publish an llms.txt file? When you are deciding whether to add an llms.txt to guide AI models to your key content. ⌥Decision 81 Should I answer this with an FAQ or a full page? When a question could sit as an FAQ entry or justify its own dedicated page. ⌥Decision 83 Should I rewrite this page answer-first? When a page buries its answer under preamble and you are weighing an answer-first restructure. ⌥Decision 77 Should I target zero-click queries? When a query is answered on the SERP or by AI and you are weighing whether to pursue it at all.

Guides 8

▶Guide 75 How to make a page citable by AI answer engines A practical guide to Citation Engineering: restructuring a page so ChatGPT, Perplexity and AI Overviews can extract, quote and attribute it. ▶Guide 76 How to get your brand cited by ChatGPT Earn citations and recommendations inside ChatGPT answers by making your pages retrievable, quotable and trustworthy. ▶Guide 76 How to optimise your content for Perplexity Win citations in Perplexity by structuring pages around retrievable, evidence-backed passages it can quote and link. ▶Guide 76 How to appear in Google AI Overviews Earn inclusion in Google's AI Overviews by combining strong organic relevance with clear, passage-level answers. ▶Guide 72 How to write and publish an llms.txt file Create an llms.txt file that gives AI systems a clean, curated map of your most important content. ▶Guide 78 How to structure content answer-first for AI engines Rewrite pages so the answer comes first, making passages easy for AI engines to lift and cite. ▶Guide 77 How to allow AI crawlers without losing control Configure robots.txt and infrastructure so beneficial AI crawlers can reach your content while you keep control of the rest. ▶Guide 74 How to use structured data to support AI answers Apply the right schema so AI engines can parse, trust and reuse your content in their answers.

Definitions 29

§Definition 76 Citation Engineering Engineering content so AI answer engines can extract, quote and attribute it. §Definition 75 Citation Readiness Index A measure of how ready a page is to be extracted and cited by AI answer engines. §Definition 84 Zero-Click Search A search that is answered directly on the results page, so the user finds what they need without clicking through. §Definition 82 Generative Engine Optimisation (GEO) The practice of shaping content and entity signals so generative AI engines cite, quote and recommend your brand in their answers. §Definition 80 Answer Engine Optimisation (AEO) Optimising content so it is chosen as the direct answer by systems that return a single response rather than a list of results. §Definition 79 Google AI Overviews Google's AI-generated summary that appears at the top of many search results, synthesising an answer with linked source citations. §Definition 80 Perplexity An AI answer engine that always retrieves live web sources and shows numbered inline citations for every claim. §Definition 71 DeepSeek A high-performing open-weight AI model family from a Chinese lab, notable for strong reasoning at low cost. §Definition 83 Retrieval-Augmented Generation (RAG) A technique where an AI model retrieves relevant external documents at query time and generates its answer from them. §Definition 80 Grounding Tying an AI model's answer to verifiable external sources so its claims can be attributed and trusted. §Definition 81 AI Citation A reference an AI answer engine makes to your page or brand as a source for part of its response. §Definition 84 Large Language Model (LLM) A neural network trained on vast amounts of text that generates language by predicting the most likely next token. §Definition 80 Embeddings Numerical vector representations of text that capture meaning, letting machines compare content by concept rather than keywords. §Definition 78 Vector Search Finding relevant content by comparing embedding vectors for semantic closeness rather than matching exact keywords. §Definition 77 Semantic Similarity A measure of how close in meaning two pieces of text are, regardless of the exact words they use. §Definition 78 Prompt The instruction or question a user gives an AI model, which shapes the answer it generates. §Definition 74 System Prompt Hidden instructions that set an AI assistant's behaviour, tone and rules before it sees the user's question. §Definition 68 llms.txt A proposed site-root file that offers AI systems a curated, plain-text map of your most important content. §Definition 79 GPTBot OpenAI's web crawler, used to gather content for training and to fetch pages when ChatGPT browses the web. §Definition 76 PerplexityBot Perplexity's crawler, which indexes and fetches web pages so they can be retrieved and cited in its answers. §Definition 76 Google-Extended A robots.txt control that lets sites opt out of having their content used to train and ground Google's Gemini models. §Definition 78 AI Crawler An automated bot that fetches web content to train AI models or to ground and cite live AI answers. §Definition 80 Answer-First Content Content that states the direct answer up front, before the context, so engines and readers can extract it easily. §Definition 79 Extractability How easily an AI engine can lift a clean, self-contained statement from your page to use in its answer. §Definition 77 Passage Retrieval Fetching the most relevant sections of a page, rather than the whole document, to answer a query. §Definition 75 Chunking Splitting content into smaller units so it can be embedded, retrieved and quoted independently by AI systems. §Definition 76 Provenance The traceable origin of a claim - where a fact came from and whether it can be attributed to a credible source. §Definition 76 Unlinked Brand Mention A reference to your brand in text that carries no hyperlink but still signals presence and association to AI models. §Definition 77 AI Overview Citation A source link shown within a Google AI Overview, crediting your page as a basis for the generated summary.

Recommended next steps

    See the wider capability Citation Engineering Capability → Apply the method Citation Engineering Framework Framework → Follow the step-by-step How to allow AI crawlers without losing control Guide →