Generative Engine OptimizationGEO
By Federico Donatone · Updated October 15, 2026Generative engine optimization (GEO) is the practice of making your content easy for AI assistants such as ChatGPT, Perplexity, Claude, Gemini and Google AI Overviews to find, understand, trust and cite when they answer a question. It builds on search engine optimization (SEO) but aims for a citation inside the AI answer, not only a ranked link.
How AI assistants pick their sources
When an assistant needs fresh information, it usually runs a web search behind the scenes, reads a handful of pages and writes its answer from the passages that fit best. Some answers also draw on what the model learned during training. Either way, the pages that get used tend to share a few traits:
- Clear definitions: a short, self-contained answer the assistant can quote without rewriting.
- Structure: question-shaped headings, lists, tables and labeled data that are easy to pull apart.
- Original data: numbers nobody else has, published with a method and a date, so the page becomes the source.
- Being cited by others: brands and pages that other sites, reviews and forums mention again and again.
- Freshness and consistency: dated updates, and the same facts about your company everywhere they appear.
Generative engine optimization vs SEO
| SEO | GEO | |
|---|---|---|
| Goal | Rank a page in search results | Get cited inside an AI answer |
| What wins | The whole page | A passage, fact or definition |
| Main signals | Relevance, links, page experience | Clarity, original data, mentions across the web |
| How you measure it | Rankings and clicks | Citations, mentions and AI referral visits |
GEO does not replace SEO. Assistants that search the web still need to find your page, so crawlable, fast and well-linked pages remain the base. What changes is the unit of competition: you are no longer only competing for a position, you are competing to be the sentence an assistant repeats.
How to do generative engine optimization
- List the questions your buyers ask AI assistants before they talk to sales, in their own words.
- Answer each one on a page that opens with a direct definition or answer in a few sentences.
- Publish original data, such as a benchmark, an analysis of your own deals or a product test, with the method, sample and date.
- Use question headings, tables and FAQ sections, and add structured data so machines can read what each page is about.
- Keep facts about your company identical across your site, profiles and directories.
- Earn mentions on sites assistants already read: industry publications, partner pages, review sites and community threads.
- Check that your robots.txt file and firewall do not block the crawlers AI search tools use.
Original data is the hardest step for others to copy. Our B2B meeting show rate study publishes the outcomes of 1,380 B2B meetings booked by cold calling, with its method, which gives an assistant a primary source to cite instead of a summary of someone else's numbers. The resources hub shows the same format applied to studies, worksheets and guides.
How to measure GEO
There is no single ranking to watch. Ask the main assistants the same set of buyer questions every month and log whether your brand is mentioned, cited or linked, and by which assistant. Track visits referred by AI assistants in your web analytics. For scale, tools such as Profound, listed in our GTM tools directory, track how AI assistants mention and cite a brand across many prompts.