Resource · GEO / AI Search

GEO & AI Search Glossary.

Plain-English definitions of the terms used across our GEO / AI Search Optimization content — no jargon left unexplained.

Last updated: July 2026

Quick answer: GEO (Generative Engine Optimization) is the practice of making a business citable by AI systems like ChatGPT and Perplexity. This glossary defines every GEO-specific term used across our content — llms.txt, AI crawlers, structured data, entity consistency, prompt battery and more — each marked up as a DefinedTerm so AI systems can cite the definitions directly.

GEO (Generative Engine Optimization)

The practice of making a business's online presence citable and recommendable by AI systems — ChatGPT, Claude, Gemini, Perplexity, Copilot, Grok — the same way SEO makes a site rankable by Google. Covers AI-crawler access, structured data, citable primary data and third-party entity presence, on top of (not instead of) normal SEO.

AEO (Answer Engine Optimization)

A closely related term, often used interchangeably with GEO, that emphasises optimising content to be pulled directly into an AI-generated answer rather than just cited as a source. In practice the two terms describe the same underlying discipline.

AI Overviews

Google's AI-generated answer summaries that appear above traditional search results for many queries, synthesising information from multiple sources into a single response — a distinct surface from a classic organic listing, requiring its own optimisation approach.

llms.txt

A proposed convention — a plain-text markdown file at yoursite.com/llms.txt — that gives AI crawlers a curated map of a site's most important pages, in place of them inferring structure from a full crawl. Not a web standard enforced by any single company, but a low-cost, low-risk discovery signal. Build one free with the llms.txt Generator.

AI crawler

An automated bot that fetches web pages on behalf of an AI system — examples include GPTBot (OpenAI), ClaudeBot (Anthropic), PerplexityBot (Perplexity) and Google-Extended (Google's AI training signal, separate from the classic Googlebot). Each can be individually allowed or blocked in robots.txt.

Structured data / schema markup

Machine-readable code (usually JSON-LD) embedded in a page that explicitly labels what the content represents — an Organization, a Service, a set of FAQs — instead of leaving a machine to infer it from unstructured text. Build common types free with the Schema Markup Generator.

Entity consistency

The degree to which the same facts about a business (name, address, phone, services, pricing) appear identically across a site, directories, review platforms and press. AI systems weigh this consistency heavily when deciding whether to trust and cite a business.

Citation (in a GEO context)

A mention of a business by an independent third-party source — a directory listing, a forum post, a press article — that an AI system can draw on as corroborating evidence, distinct from a classic SEO backlink though the two often overlap in practice.

Prompt battery

A fixed, repeatable set of real commercial queries run against multiple AI systems (ChatGPT, Claude, Gemini, Perplexity) on a regular cadence, used to measure whether and how a business is mentioned — the GEO equivalent of rank tracking in classic SEO.

Snippet extraction / max-snippet

The amount of a page's text a search engine or AI system is permitted to quote directly, controlled via the max-snippet robots meta directive. A value of -1 removes the length cap, which can matter for how much of a page an AI Overview or assistant is able to quote verbatim.

AI visibility score

A composite score summarising how AI-ready a site is across crawler access, discovery files (llms.txt, sitemap), structured data and freshness signals. Check a live score with the free AI Visibility Checker.

RAG (Retrieval-Augmented Generation)

The technical approach many AI search products use to answer questions — retrieving relevant documents from the web or an index, then generating a response grounded in that retrieved content, rather than answering purely from a model's trained-in knowledge. GEO work is, in large part, optimising for what gets retrieved and how it gets summarised.

Where to go next

For the full practical picture, see the Malaysia GEO guide or Singapore GEO guide, run your own site through the free AI Visibility Checker, and build a curated llms.txt file in minutes. For the service itself, see GEO / AI Search Optimization.

Want to know where your site stands?

Run the free AI Visibility Checker, then book a call to discuss the fix list.

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