A ranked link used to be the prize. Now buyers compare products and build shortlists inside the AI answer, and the brands named there get looked at first.
Getting into that answer is the job of generative engine optimization. The term comes from a 2023 research paper, and the paper’s findings are more specific than most GEO advice you’ll read.
Key takeaways
- GEO was named in a 2023 Princeton and IIT Delhi paper that found some content changes raised source visibility in AI answers by up to 40%.
- In that study, adding citations, quotations and statistics helped most, while keyword stuffing scored below the unchanged text.
- Google says optimizing for its generative AI features is still SEO and needs no special AI files or markup.
- A brand can be cited without being named, so GEO tracks mentions and citations as two separate signals.
- AI answers change between sessions, so GEO is measured as rates across a fixed prompt set.
What is generative engine optimization (GEO)?
Generative engine optimization is the work of getting AI systems to retrieve your content and include your brand when they answer.
A generative engine is a search system that retrieves sources and then writes a new answer from them. ChatGPT search, Perplexity, Google AI Overviews and Copilot all work this way.
GEO success can take four forms:
Citation: one of your URLs appears as a source link for the answer.
Mention: your brand is named in the answer text. A link isn’t required.
Recommendation: your product appears in a shortlist or a "best tool" answer.
Accurate description: the answer describes what you do correctly and with current facts.
Our glossary entry on generative engine optimization gives the short definition and related terms.
Where does the term GEO come from?
The term comes from the paper "GEO: Generative Engine Optimization" by Pranjal Aggarwal and colleagues. The authors were at Princeton University and IIT Delhi, and the paper was accepted at KDD 2024.
They described GEO as a new way for content creators to increase their visibility in generative engine responses. To test it, they built GEO-bench, a benchmark of 10,000 queries across 25 domains.
Is GEO the same as AEO or LLM SEO?
The terms overlap. AEO, or answer engine optimization, grew out of featured snippets and voice answers. GEO focuses on answers written by generative AI.
LLM SEO and AI SEO are broader labels for the same shift. Our comparison of AEO vs SEO vs GEO explains where each one starts and ends.
How do generative engines choose which sources to use?
No engine publishes its full formula, and each platform uses its own index and models. Most follow four broad stages.
1. Interpret The system interprets the prompt and works out the intent, the entities involved and any constraints.
2. Expand It expands the prompt into several related searches to cover sub-questions.
3. Retrieve It retrieves passages from pages that answer those searches.
4. Synthesize It synthesizes one answer and shows some of the pages as citations.
Google confirms that AI Overviews and AI Mode may use query fan-out, issuing multiple related searches across subtopics. A prompt about the best CRM for a small team can fan out into separate searches on pricing and on reviews.
So a page can be cited for a sub-question you never targeted. And a brand that fits the main prompt can still be left out if no page answers the sub-questions.
Why GEO visibility is probabilistic, not a fixed rank
The same prompt can return different sources on another platform or in another location. Session and model version change the result too. There’s no stable position one to defend.
What you can measure is how often you appear across the prompts your buyers ask. So GEO gets reported as rates over a prompt set.
GEO vs SEO: what changes and what stays the same?
GEO doesn’t replace SEO. Google’s guide to optimizing for generative AI features says these features rely on its core Search ranking and quality systems.
The same guide says you don’t need new machine-readable files, AI text files, special markup or Markdown to appear. Pages still have to be crawlable and indexed, and worth reading. That’s the entry ticket.
What changes is the unit of success and how you measure it:
| What changes | SEO | GEO |
| Target | A ranked link. | The answer text and the sources listed with it. |
| Core metrics | Rankings and clicks. | Mentions, citations and share of voice. |
| Research starts from | Keywords. | Full prompts and their follow-up questions. |
| Who picks the sources | In a list of links, the user does the picking. | The AI system filters sources before anyone clicks. |
Why generative engine optimization matters in 2026
AI answers now sit between buyers and websites.
Fewer people click through when an AI summary appears. A Pew Research Center study found users clicked a result in 8% of visits with an AI summary, versus 15% without one.
When fewer users click, the brands named in the answer get most of the attention. If a competitor is in the answer and you aren’t, you can lose the deal before your website loads.
AI Overviews
AI Mode
Gemini
Copilot
Perplexity
Claude