Library / Visibility / Oct 28, 2026
What Is Generative Engine Optimization (GEO)?
Generative engine optimization (GEO) is the work of getting your brand named, and linked, inside answers written by ChatGPT, Claude, Gemini, Perplexity and Google AI Overviews. It builds on SEO. The goal is different: a mention or a citation inside the answer itself, not a blue link listed under it.
Definition: Generative engine optimization (GEO) is the practice of making a website and its wider footprint easy for AI engines to retrieve, trust and cite when they write an answer.
Where does the term GEO come from?
GEO was introduced in a research paper first posted on November 16, 2023. The authors tested nine ways to rewrite a source page and measured how visible it became in generated answers. Their best methods raised visibility by up to 40%.
The winners were plain. Adding quotations, adding statistics and citing sources performed best. Keyword stuffing scored below the unoptimized baseline. That is GEO in one line: engines reward pages that are easy to quote and easy to check.
Why does GEO matter now?
Because the answer now sits above the links, and fewer people scroll past it.
- Google says AI Overviews had over 2 billion monthly users across more than 200 countries and territories as of its Q2 2025 earnings.
- Pew Research Center tracked 900 US adults in March 2025. When a Google AI summary appeared, they clicked a traditional result in 8% of visits, against 15% when no summary appeared. They clicked a link inside the summary in 1% of visits.
- Ahrefs compared 300,000 keywords using December 2025 data. An AI Overview correlated with a 58% lower average clickthrough rate for the top-ranking page.
If the answer does not name you, many buyers never reach the list where you rank.
How do generative engines pick their sources?
Most engines work in two steps: retrieve, then write. Google describes the first step as query fan-out, “a set of concurrent, related queries generated by the model” (Google Search Central). The engine fetches pages for those queries, writes an answer and attaches links to the passages it used.
Three things decide whether your page makes the cut:
- Access. The engine’s crawler can fetch the page. A blocked crawler means you are absent. See agent readiness.
- Retrieval. The page ranks for the question or one of its fan-out variants. Classic SEO still feeds this step. See GEO vs SEO.
- Quotability. The page holds a short, self-contained answer: a definition, a number with a source, a table row. See how AI citations work.
What does GEO work involve?
| Layer | What you do | Typical effort |
|---|---|---|
| Crawler access | Allow GPTBot, OAI-SearchBot, ClaudeBot, Claude-SearchBot and PerplexityBot in robots.txt, unless you have a reason to block one | 30 min |
| Answer-first pages | Open each key page with a 40 to 60 word answer and a one-sentence definition | 2 hours per page |
| Evidence | Add numbers with a date and a source link | 2 hours per page |
| Entity clarity | Organization schema, an About page, the same name and description on every profile | 1 day |
| Off-site mentions | Get named on review sites, communities, YouTube and comparison articles | 1 month |
| Measurement | Run a fixed prompt set across each engine, three times per prompt | 1 day to set up |
The off-site row matters more than most teams expect. Ahrefs studied 75,000 brands. Branded web mentions correlated 0.66 to 0.71 with AI visibility. The number of pages on a site correlated about 0.19. Publishing more pages is a weak lever. Being talked about is a strong one. The mentions have to be real: Google warns that seeking inauthentic mentions “isn’t as helpful as it might seem” because its spam systems feed its AI features too (Google Search Central).
What GEO is not
GEO is not a replacement for SEO. Google’s guide says optimizing for generative AI search “is still SEO” and that you do not need special files, markup or chunked content to appear in Google’s AI features (Google Search Central, updated July 10, 2026). ChatGPT, Claude and Perplexity run their own crawlers and their own retrieval, so crawler rules and mention tracking still differ by engine.
GEO is not a guarantee either. The same prompt can return different brands on different runs. We run each prompt three times per engine and report a range, not a single number.
Some vendors call this LLMO or AI SEO. The work is the same. We use “AI visibility” as the plain-English name and GEO as the trade term. For the page-formatting side, see answer engine optimization. For how the Visibility pillar fits the rest of the funnel, see Answer-Led Growth.
What we check in the Growth Scan
| Check | Pass | Warn | Fail |
|---|---|---|---|
| AI crawler access (Agent Readiness) | GPTBot, ClaudeBot and PerplexityBot all allowed | Training crawlers blocked, search crawlers allowed | Any search crawler blocked, or the whole site disallowed |
| Brand mentioned for category prompts (AI Visibility) | Named by 3 or 4 of the 4 engines | Named by 1 or 2 engines | Named by none |
| Brand cited with a link (AI Visibility) | Cited on 3 or more of 10 prompts | Cited on 1 or 2 prompts | Never cited |
| Citation gap (Citation Gap) | No prompts where 3 competitors are cited and you are not | 1 to 3 such prompts | 4 or more such prompts |
| Definition blocks on key pages (Content and Entity) | Present on every pillar page | Present on some | Missing everywhere |
| Organization schema with sameAs (Content and Entity) | Present, with 3 or more profile links | Present, no sameAs | Missing |
Each LLM-backed check runs every prompt three times per engine. We show the range and say so on the report. Typical fixes: unblock search crawlers (30 min), add a definition block (30 min per page), add Organization schema with sameAs links (2 hours).
Run a free Growth Scan on your site to see where you stand.
Sources
- GEO: Generative Engine Optimization (arXiv 2311.09735)
- Alphabet Q2 2025 earnings: CEO remarks (Google)
- Google users are less likely to click on links when an AI summary appears in the results (Pew Research Center)
- Update: AI Overviews Reduce Clicks by 58% (Ahrefs)
- Top Brand Visibility Factors in ChatGPT, AI Mode, and AI Overviews (Ahrefs)
- Optimizing for generative AI search (Google Search Central)
Questions
- Is GEO replacing SEO?
- No. GEO sits on top of SEO. Google's own guide, updated July 10, 2026, says optimizing for generative AI search is still SEO. Crawlable pages, clear content and authority still decide what gets retrieved. GEO adds three jobs SEO rarely covers: letting AI crawlers in, writing passages an engine can quote, and tracking mentions and citations across ChatGPT, Claude, Gemini and Perplexity.
- How does generative engine optimization work?
- An AI engine runs one or more searches, fetches a short list of pages, writes an answer and links to the passages it used. GEO works on each step. You let the engine's crawler reach your pages, rank for the query and its variants, and give the engine a clear definition, a sourced number or a table it can lift word for word.
- What is the difference between GEO and AEO?
- Answer engine optimization (AEO) is about formatting a page so an engine can lift a direct answer from it. GEO is wider. It covers the page, the crawler rules, the brand's mentions on other sites and how often each engine names you. We treat AEO as one part of GEO. Both are secondary terms for the same goal: AI visibility.
- What is the best tool for generative engine optimization?
- No single tool covers it. You need three things: a crawl that shows what AI bots can fetch, a fixed set of category prompts run repeatedly across each engine, and a record of which competitor pages get cited instead of yours. Run each prompt more than once. Answers vary between runs, so one result is an anecdote, not a measurement.
- Can anyone guarantee a citation in ChatGPT or Google AI Overviews?
- No. Engines choose sources at answer time and the same prompt can return different sources on different runs. Anyone promising a guaranteed citation is selling something they do not control. What you can control is access, retrieval and how quotable your pages are. Those raise the odds. We report results as a range across three runs for that reason.