Quick answer: What is GEO (generative engine optimization)?
- Goal — be used and cited in AI-generated answers.
- Origin — a 2023 research paper introduced the term.
- Research finding — statistics, quotations and citations raised visibility up to 40%.
- Practice — specific facts, clear structure, credible sources, crawlable pages.
- Not a replacement — strong SEO foundations still matter.
Key takeaways
- AI answers synthesise sources; being a quotable, trustworthy source is the goal.
- Specific numbers, definitions and cited facts are easier for models to use.
- Allow the right AI crawlers if you want to appear in their answers.
- Measure brand mentions and citations, not just clicks.
- Avoid manipulation — engines are designed to reward helpful content.
Search is splitting in two. Some people still scan a page of blue links. More and more ask an AI and read a written answer — in ChatGPT, Gemini, Perplexity or Google's AI Overviews — that may mention your brand, quote your page, or ignore you entirely. Generative engine optimization (GEO) is the practice of becoming one of the sources those answers draw on.

Where the term comes from
A 2023 research paper, GEO: Generative Engine Optimization, introduced the term and a benchmark of 10,000 queries. The authors tested content changes and found that methods such as adding relevant statistics, quotations from credible sources and citations could boost visibility in generative engine responses by up to 40%, with results varying by domain1.
SEO vs AEO vs GEO
| SEO | AEO | GEO | |
|---|---|---|---|
| Goal | Rank pages in search results | Be the direct answer to a question | Be used and cited in AI-generated answers |
| Typical surface | Search results pages | Featured snippets, voice, AI answers | ChatGPT search, AI Overviews, Perplexity, Gemini |
| Key signals | Relevance, links, experience, technical health | Clear question–answer content, structure | Specific facts, credibility, citations, accessibility to crawlers |
| Measure | Rankings, clicks | Snippet and answer ownership | Mentions, citations, AI referrals |
See what AEO is for the answer-engine side.
A practical GEO checklist

- Answer the question early in one clear, quotable paragraph
- Add specific facts — numbers with dates and sources
- Cite credible sources and quote experts where useful1
- Define terms plainly — models love clean definitions
- Structure content with descriptive headings, lists and tables
- Show expertise — named authors, first-hand experience, methodology
- Keep it current — update dates and facts that change
- Let the right crawlers in — check robots.txt for AI search crawlers such as OpenAI's OAI-SearchBot3
Google's guidance is that the same people-first content principles apply to its AI features — there's no special markup required to appear in AI Overviews24.
What not to do

Keyword stuffing for AI
Models synthesise meaning; stuffing reads as low quality.
Hidden prompts
Attempting to manipulate models with hidden instructions is deceptive and risky.
Thin, generic content
If your page says what every other page says, there's no reason to cite you.
Measure what matters
Track whether AI answers mention or cite you for the questions your customers ask, watch referral traffic from AI products, and monitor branded search. For the practical playbook, see how to get your brand mentioned in ChatGPT answers.
Key terms, defined
GEO — generative engine optimization. Generative engine — an AI system that writes answers from sources. Citation — a link or reference to a source within an AI answer. AI Overview — Google's AI-generated summary in search. Crawler — software that fetches web pages for a search or AI system.
Frequently asked questions
What does GEO stand for?
Generative engine optimization — optimising content so generative AI systems, which write answers rather than list links, use and cite it.
How is GEO different from SEO?
SEO aims to rank pages in search results. GEO aims to have your content included and cited inside AI-generated answers. They overlap heavily: crawlable, helpful, authoritative content serves both.
What's the difference between GEO and AEO?
AEO (answer engine optimization) focuses on being the direct answer to questions — featured snippets, voice answers and AI answers. GEO focuses specifically on generative AI systems that synthesise answers from multiple sources. In practice the tactics overlap.
What did the GEO research paper find?
The 2023 paper 'GEO: Generative Engine Optimization' tested methods such as adding statistics, quotations and citations, and found they could increase visibility in generative engine responses by up to 40%, with effects varying by domain.
Do I need to allow AI crawlers for GEO?
If you want to appear in a particular AI product's answers, its search crawler generally needs access. OpenAI, for example, documents separate crawlers for search and for training, which you can control via robots.txt.
How do I measure GEO results?
Track whether AI answers mention or cite your brand for key questions, referral traffic from AI products, and branded search growth. Tools and manual checks across ChatGPT, Gemini, Perplexity and AI Overviews help.
Sources
- Aggarwal et al. — GEO: Generative Engine Optimization (arXiv, 2023)
- Google Search Central — AI features and your website
- OpenAI — Overview of OpenAI crawlers
- Google Search Central — Creating helpful, reliable, people-first content
- Checked October 23, 2026. Figures that change — fees, salaries, prices — are reviewed every six months; if something is out of date, tell us.
Where to go from here
- What is AEO? — the answer-engine side
- How to get mentioned in ChatGPT answers — the practical playbook
- Career guidesGenerative engine optimization skills employers want in 2027: getting brands mentioned and cited in ChatGPT, Gemini, Perplexity and AI OverviewsGEO skills employers want in 2027: how AI assistants choose sources, quotable facts, authority and mentions, crawler access and tracking AI citations.
- AI & vibe codingWhat is AEO? Answer engine optimization explained, with a checklistWhat AEO (answer engine optimization) is, how it relates to SEO and GEO, how answer surfaces pick content, and a practical checklist.
- AI & vibe codingHow to rank in ChatGPT: getting your brand mentioned and cited in AI answersHow to get your brand mentioned in ChatGPT and other AI answers: crawler access, quotable pages, third-party mentions and tracking.
- Career guidesAnswer engine optimization skills employers want in 2027: answer-first content, featured snippets, AI Overviews, voice and question researchAEO skills employers want in 2027: question research, answer-first writing, featured snippets, AI Overviews, structured content and new metrics.
- Career guidesAI skills for digital marketers in 2027: research, content, ads, analytics and AI search visibility — without losing brand, accuracy or trustAI skills digital marketers need in 2027: research, content, creative, ads, analytics, AI search visibility, brand accuracy and disclosure rules.
- Career guidesAI search visibility and citation readiness in 2027: what marketing, PR and brand leaders need to know to be found, cited and described accuratelyAI search visibility skills for marketing and PR leaders in 2027: citation readiness, brand accuracy, crawler policy, measurement and team ownership.
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