What is GEO in simple terms?

GEO (Generative Engine Optimization) is the practice of making your pages easy for AI answer engines — ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews — to retrieve, understand and cite. Classic SEO earns a blue link; GEO earns a sentence inside the answer itself, usually with a source link next to it.

What's the difference between SEO, AEO and GEO?

SEO optimizes for ranked lists of links. AEO (Answer Engine Optimization) optimizes for a single extracted answer — the featured snippet, the voice reply, the AI Overview paragraph. GEO is the broader discipline of being retrieved and cited by generative models, which includes crawler access, structured data, entity clarity and quotable writing. In practice all three share the same technical foundation.

Do I need an llms.txt file?

It is not a ranking factor and no engine guarantees support for it yet, but it is a cheap, zero-risk signal: a Markdown file at your domain root that lists your most important URLs with one-line descriptions. It helps retrieval pipelines and human researchers alike find the pages you want quoted. Generate one with the free llms.txt generator and validate it afterwards.

What is RAG and why does it matter for my site?

Retrieval-Augmented Generation is the pattern most AI search products use: the model runs a search, retrieves a handful of pages, and writes an answer grounded in that text. Your job is to win the retrieval step (be findable and crawlable) and then the extraction step (contain a clean, self-contained paragraph that answers the question).

How often should I revisit these definitions?

AI search terminology moves fast — crawler names, schema support and citation behaviour all changed in the past year. We review every entry in this glossary quarterly and date-stamp the individual term pages, so bookmark the terms you rely on rather than copying the definitions into internal docs.

GEO & AI search glossary

Plain-English definitions for every term you'll meet while optimizing for AI search — 24 entries, reviewed quarterly. Click any term for a full explanation, examples, and related concepts.

Quick answer

AI search vocabulary splits into four buckets: the disciplines (SEO, AEO, GEO), the crawlers that fetch your pages (GPTBot, ClaudeBot, PerplexityBot), the retrieval machinery that assembles answers (RAG, embeddings, chunking), and the content signals that make a passage quotable (schema markup, entities, E-E-A-T, citations). Learn those four groups and every other term in this glossary slots into place.

The four term clusters that matter

Most people don't need all of AI-search jargon at once. Start with the cluster that matches the problem you're solving this week.

Disciplines

The umbrella practices — what you're actually doing and why.

Crawlers & access

Who is fetching your HTML and whether you are letting them.

Retrieval & models

How an answer gets assembled from the open web.

Content signals

What makes a passage quotable rather than merely present.

Schema Markup

SEO vs AEO vs GEO, side by side

These three acronyms overlap heavily, and most vendors use them loosely. Here is the distinction we use consistently across this site.

How the three disciplines differ in practice

	SEO	AEO	GEO
Goal	Rank in a list of links	Own the single extracted answer	Be retrieved and cited inside a generated answer
Surface	Google/Bing results page	Featured snippets, voice, AI Overviews	ChatGPT, Perplexity, Gemini, Claude, Copilot
Primary lever	Links, keywords, crawl health	Question-shaped headings, concise answers	Crawler access, entities, structured data, quotability
Main metric	Position and organic clicks	Snippet ownership rate	Citation share of voice across prompts
Time to move	3–6 months	2–8 weeks	2–6 weeks once the page is re-crawled

How to use this glossary

Definitions alone don't move citations. This is the loop we recommend to teams starting from zero.

1
Learn the access terms first
robots.txt, GPTBot, ClaudeBot, PerplexityBot. If AI crawlers are blocked, nothing else you do will register. Confirm access with the free robots.txt for AI tool.
2
Fix how your content is structured
Read the entries on schema markup, chunking and entities, then check whether each key page answers its question in the first 60 words.
3
Publish the machine-readable files
Generate an llms.txt, add FAQ and HowTo schema where they genuinely apply, and validate everything before you ship it.
4
Measure citations, not rankings
Track how often each engine names your domain for your target prompts. That is the only number that tells you GEO is working.

All 24 terms, A–Z

Every entry links to a full page with a longer definition, a worked example, and related terms.

A

AEO

Answer Engine Optimization — optimizing for direct-answer surfaces like AI assistants and voice search.

AI Crawler

An automated bot operated by an AI company that fetches web pages for training or live answering.

AI Overviews

Google's AI-generated answers that appear above the classical search results.

C

Citation Tracking

Measuring how often AI engines cite your domain in answers to target queries.

E

E-E-A-T

Google's quality framework: Experience, Expertise, Authoritativeness, Trustworthiness.

Embeddings

Numerical vectors that represent the meaning of text, used by AI to find semantically similar content.

Entity SEO

Optimizing for entity recognition — making sure search engines know exactly who or what your brand is.

F

FAQPage Schema

Schema.org type for marking up question-and-answer content so search and AI engines can extract Q&A pairs.

G

GEO

Generative Engine Optimization — optimizing for citation by AI chat, search, and assistants.

GPTBot

OpenAI's web crawler that gathers training data for ChatGPT models.

H

HowTo Schema

Schema.org type for marking up step-by-step instructions.

I

IndexNow

A protocol that pings search engines (Bing, Yandex) the moment a URL is published or updated.

K

Knowledge Graph

A structured database of entities (people, places, things) and their relationships, used by search engines to disambiguate.

L

llms.txt

A plain-text file at the root of your site that tells AI models which URLs are worth reading.

O

Organization Schema

Schema.org type that identifies the entity behind a website.

R

RAG

Retrieval-Augmented Generation — the technique behind most AI search citations.

robots.txt

A file at the root of your domain that tells crawlers which paths they're allowed to fetch.

S

sameAs

A schema.org property used to declare authoritative external profiles for an entity.

Schema Markup

Structured data (usually JSON-LD) that describes a page's content in a machine-readable way.

Semantic Search

Search based on meaning rather than exact keyword matching.

Speakable Schema

Schema.org property marking the parts of a page suitable for voice playback.

V

Vector Search

Search powered by embedding similarity instead of keyword matching.

Voice Search

Search queries spoken to voice assistants (Siri, Alexa, Google Assistant) instead of typed.

Z

Zero-Click Search

Searches that end without the user clicking through to any website.

Turn the vocabulary into a checklist

If you only act on five things from this glossary, make it these.

Allow GPTBot, ClaudeBot, PerplexityBot, Google-Extended and Bingbot in robots.txt unless you have a deliberate reason not to.
Answer the page's core question in a single self-contained paragraph above the fold.
Mark up FAQs, how-tos, products and organizations with valid JSON-LD.
Name entities explicitly — brand, product, category, location — instead of relying on pronouns.
Publish and maintain an llms.txt so retrieval pipelines see your best URLs first.

Frequently asked questions

What is GEO in simple terms?: GEO (Generative Engine Optimization) is the practice of making your pages easy for AI answer engines — ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews — to retrieve, understand and cite. Classic SEO earns a blue link; GEO earns a sentence inside the answer itself, usually with a source link next to it.
What's the difference between SEO, AEO and GEO?: SEO optimizes for ranked lists of links. AEO (Answer Engine Optimization) optimizes for a single extracted answer — the featured snippet, the voice reply, the AI Overview paragraph. GEO is the broader discipline of being retrieved and cited by generative models, which includes crawler access, structured data, entity clarity and quotable writing. In practice all three share the same technical foundation.
Do I need an llms.txt file?: It is not a ranking factor and no engine guarantees support for it yet, but it is a cheap, zero-risk signal: a Markdown file at your domain root that lists your most important URLs with one-line descriptions. It helps retrieval pipelines and human researchers alike find the pages you want quoted. Generate one with the free llms.txt generator and validate it afterwards.
What is RAG and why does it matter for my site?: Retrieval-Augmented Generation is the pattern most AI search products use: the model runs a search, retrieves a handful of pages, and writes an answer grounded in that text. Your job is to win the retrieval step (be findable and crawlable) and then the extraction step (contain a clean, self-contained paragraph that answers the question).
How often should I revisit these definitions?: AI search terminology moves fast — crawler names, schema support and citation behaviour all changed in the past year. We review every entry in this glossary quarterly and date-stamp the individual term pages, so bookmark the terms you rely on rather than copying the definitions into internal docs.

Explore further

Connected guides to keep going — short reads, all internally linked.