The short version
For twenty years, being found online meant ranking on a page of links. Today a growing share of questions is answered directly by AI: ChatGPT, Google's AI Overviews and AI Mode, Gemini, Perplexity, Claude and Microsoft Copilot. These systems read many sources, write one answer, and name a handful of businesses.
Generative Engine Optimization is the work of becoming one of those names. The term comes from a 2023 research paper by a team from Princeton, Georgia Tech, the Allen Institute for AI and IIT Delhi, which studied how content changes affect visibility in AI-generated answers.1
How AI engines choose sources
Each engine works differently, but most answers come from two places:
- What the model learned in training. A snapshot of the web up to a cutoff date. It shapes what the model “knows” about your brand and changes only when a new model is released.
- What it finds by searching now. Many assistants run live web searches, often rewriting one question into several searches, then read the top pages and write an answer with citations. This is where most GEO improvements show up first.
In both cases, engines lean towards sources that are accessible, clear, specific and corroborated by other sources. A business that many credible sites describe the same way is much easier to recommend than one that only describes itself.
If AI can't reach your page, can't tell what your business is, or can't find anyone else vouching for you, it will recommend someone else.
GEO vs SEO
GEO builds on SEO; it doesn't replace it. Here is how the two compare.
| SEO | GEO | |
|---|---|---|
| Goal | Rank a page in a list of results | Be named, described correctly and cited inside an AI answer |
| Unit of work | Keywords | Prompts and the sub-questions engines generate from them |
| What gets used | Whole pages | Passages, facts and descriptions lifted from many sources |
| Main signals | Relevance, links, page experience | All of SEO, plus entity clarity, citable content and third-party mentions |
| Measurement | Rankings, clicks, impressions | Share of voice in answers, citations, accuracy, AI referral traffic |
| Stability | Rankings move gradually | Answers vary between sessions and change with each model update |
What actually works
1. Let the right crawlers in
Many sites block AI crawlers by accident through robots.txt rules or firewall defaults. Search-related crawlers such as OAI-SearchBot and PerplexityBot need access if you want to appear in those engines. See Technical GEO.
2. Answer questions directly
Pages that open each section with a clear answer, then support it with detail, are easier to quote. The original GEO study found that adding citations, quotations from relevant sources and statistics improved visibility in generative answers by up to around 40% in its benchmark.1 See AI content optimization.
3. Be consistent about who you are
Your name, services, locations and people should be described the same way on your site, your business profiles and directories. Structured data helps machines read those facts without guessing. See Brand entity optimization.
4. Earn mentions from trusted sources
AI engines are more confident recommending a business that independent sources mention — reviews, comparison articles, local media, industry publications. See Digital PR & citations.
5. Keep important pages fresh
For time-sensitive questions, engines that search live prefer current information. Visible dates and real updates matter more than cosmetic changes.
What doesn't work
- Keyword stuffing. The same study found it performed poorly in generative engines.1
- Hidden text or prompt injection. Instructions hidden in a page to manipulate AI are deceptive, increasingly detected, and can get a site excluded.
- Fake reviews and paid mentions. They break platform rules and put your profiles at risk.
- Relying on llms.txt alone. It's a useful, cheap proposal, but no major AI company has confirmed it as a ranking signal.
- Mass-produced AI content. Thin, unedited pages add little that an AI engine would want to cite.
How to measure GEO
Rankings alone can't show whether AI recommends you. We track a stable set of prompts across engines and measure:
- Share of voice — how often you're named, compared with competitors.
- Citations — how often your pages are linked as a source.
- Accuracy and sentiment — whether the description of your business is right and positive.
- AI referral traffic — visits from AI assistants in your analytics.
Because answers vary between sessions, each prompt should be run several times and reported as an average. See AI visibility tracking.
Where to start
Start by finding out what AI says about you today. Ask the questions your customers ask, in the engines they use, and note who gets recommended and which sources are cited. That shows you whether your problem is access, clarity or trust — and which to fix first.
Get a free AI visibility check
Notes
- Aggarwal, P., Murahari, V., Rajpurohit, T., Kalyan, A., Narasimhan, K. & Deshpande, A. “GEO: Generative Engine Optimization.” arXiv:2311.09735 (2023); published at KDD 2024. arxiv.org/abs/2311.09735 ↩