Generative engine optimization (GEO) is the practice of making your content easy for AI-powered search tools, such as ChatGPT search, Perplexity, Microsoft Copilot and Google AI Overviews, to find, understand, trust and cite in their answers. It builds on strong SEO foundations, then adds a focus on clear answers, verifiable facts, structured content and a consistent brand presence across the web.
More people now ask AI assistants for recommendations and explanations instead of scanning a page of links. When an assistant answers, it usually names or links to only a handful of sources. GEO is about being one of them.
How AI search tools choose their sources
Each AI search product works differently, and none publishes a complete ranking formula. In broad terms, most follow a similar pattern:
- Retrieve: the tool searches a web index (its own, or a search engine's such as Bing or Google) for pages relevant to the question.
- Select: it picks the passages that answer the question most directly and appear most trustworthy.
- Synthesise: a language model writes an answer from those passages.
- Cite: it links to or names some of the sources it used.
This has a practical consequence: if your pages are not crawlable and indexed by search engines, AI search tools are unlikely to find them. Technical SEO is the entry ticket to GEO, not a separate discipline. Our technical SEO checklist covers the foundations.
GEO vs SEO: what is different?
| Traditional SEO | Generative engine optimization | |
|---|---|---|
| Goal | Rank a page in a list of results | Be quoted, cited or recommended inside an AI answer |
| Unit that competes | The whole page | Individual passages, facts and definitions |
| What wins | Relevance, authority, links and page experience | All of that, plus clear, self-contained answers and consistent facts across the web |
| How you measure it | Rankings, impressions and clicks | Citations and brand mentions in AI answers, and referral traffic from AI tools |
10 practical steps to improve your visibility in AI search
- Make sure AI search crawlers can reach you. Check that robots.txt does not block the crawlers you want to be found by, such as OAI-SearchBot (ChatGPT search), PerplexityBot and Bingbot. Blocking training-only crawlers such as GPTBot or Google-Extended is a separate decision and does not remove you from Google Search.
- Get indexed by both Google and Bing. Several AI tools draw on Bing's index, so verify your site in Bing Webmaster Tools as well as Google Search Console and submit your sitemap to both.
- Answer the question in the first sentence. Open each page or section with a direct, self-contained answer of one to three sentences, then expand. AI tools favour passages they can quote without extra context.
- Structure content around real questions. Use clear H2 and H3 headings phrased the way people ask, short paragraphs, lists and comparison tables.
- Add visible FAQs. Answer the follow-up questions your customers actually ask, on the page, in plain language.
- Use structured data. Organization, Service, Article, FAQPage and BreadcrumbList schema help machines understand who you are and what each page is about. Only mark up content that is visible on the page.
- Be specific and verifiable. Define terms precisely, cite sources for facts and avoid vague marketing claims. Unsupported numbers can damage trust with both people and AI systems.
- Show who is behind the content. Clear company information, author or team pages and real case studies are signals of experience and trustworthiness.
- Keep your brand facts consistent everywhere. Your name, services, location and contact details should match across your website, social profiles, directories and review platforms, so AI tools form a single, accurate picture of your business.
- Earn mentions on other trusted sites. AI answers often draw on third-party sources such as industry publications, comparison articles, reviews and community discussions. Being mentioned there matters as much as your own pages.
What about llms.txt?
llms.txt is a proposed standard: a plain-text file at the root of a site that gives AI tools a concise overview of the site's most important pages. It is cheap to add and can help tools that choose to read it, but it is not an official standard and major AI search engines have not confirmed that they use it. Treat it as a small extra, not a replacement for the steps above.
How to measure GEO
Measurement is still less mature than for traditional SEO, but you can track:
- Referral traffic from AI tools in your analytics, for example visits from chatgpt.com, perplexity.ai and copilot.microsoft.com.
- Manual prompt checks: a fixed list of questions your customers ask, tested regularly across several AI tools, recording whether and how your brand is mentioned.
- Search Console and Bing Webmaster Tools data for the queries and pages that already perform in search.
- Branded search volume, which often rises when AI tools recommend you.
Common GEO mistakes
- Blocking AI crawlers by accident through an overly broad robots.txt or firewall rule.
- Hiding answers behind long introductions, tabs that need JavaScript or gated PDFs.
- Publishing thin, generic content that says nothing a model does not already know.
- Inconsistent business details across the web, which make it harder for AI tools to describe you accurately.
- Expecting instant results. Crawling, indexing and third-party mentions take time to build up.
Next steps
If you want to know how AI search tools currently see your brand and what to fix first, our AI search visibility audit reviews crawlability, structured data, content and brand signals. You can also talk to us about your site.
Related reading:
- How Much Does Custom Software Development Cost in 2026? A Complete Pricing Guide
- AI Agents for Business: How to Automate Operations in 2026 (With Real Use Cases)
- Headless Commerce vs Traditional Ecommerce: Which Architecture Is Right for Your Brand?
- Technical SEO Checklist for 2026: 30 Checks to Get Your Site Crawled, Indexed and Ranked
- How to Build a SaaS MVP in 2026: A Step-by-Step Guide from Idea to Launch
- Ecommerce Platform Migration: How to Replatform Without Losing SEO Rankings
Frequently asked questions
What is generative engine optimization (GEO)?
Generative engine optimization is the practice of making content easy for AI-powered search tools such as ChatGPT search, Perplexity, Microsoft Copilot and Google AI Overviews to find, understand, trust and cite in their answers.
Is GEO different from SEO?
GEO builds on SEO rather than replacing it. AI search tools generally retrieve pages from a search index first, so crawlability, indexing and authority still matter. GEO adds a focus on clear, quotable answers, verifiable facts, structured data and consistent brand information across the web.
How do I get my website cited by ChatGPT?
Make sure the ChatGPT search crawler (OAI-SearchBot) is not blocked, get your site indexed by Google and Bing, answer common questions directly and clearly on your pages, use accurate structured data, and earn mentions on other trusted sites. There is no guaranteed method, but these steps make citation more likely.
Does blocking GPTBot remove my site from ChatGPT search?
Not necessarily. OpenAI uses GPTBot for model training and OAI-SearchBot for ChatGPT search, and they can be allowed or blocked separately in robots.txt. Check the current documentation from each AI provider before changing your settings.
Do I need an llms.txt file?
It is optional. llms.txt is a proposed format that summarises a site for AI tools. It is quick to add and does no harm, but major AI search engines have not confirmed that they rely on it, so it should not replace SEO and content work.
