What is generative engine optimization?
Generative engine optimization (GEO) is the work of making your content more likely to be used and cited when an AI system writes an answer. The "generative engines" are tools like ChatGPT search, Perplexity, Copilot, Claude with web search, and Google's AI Mode and AI Overviews, which read web pages and compose a response rather than listing links.
The term was popularized by a 2023 academic paper that tested how content changes affected visibility in AI-generated answers. Today GEO is used almost interchangeably with answer engine optimization (AEO). If there is a difference, GEO leans toward long, synthesized answers from generative models, while AEO grew out of optimizing for direct answers such as featured snippets and voice results.
How generative engines pick sources
Most AI search tools follow a similar pattern:
- Retrieve. Run one or more web searches for the question, often several at once. See query fan-out.
- Read. Fetch or read indexed copies of the top pages and extract relevant passages.
- Compose. Write an answer and attach citations to the passages used.
So GEO starts with ordinary SEO. A page that is not crawlable, not indexed, or not ranking for any related query has no chance of being retrieved. What GEO adds is attention to the reading and composing steps: how easily a model can find a clear, specific, attributable statement on your page.
What tends to help
- Answer-first sections. A heading that names the question and a first sentence that answers it.
- Specific facts. Numbers, dates, named methods, and conditions ("steep for 12 to 18 hours at fridge temperature") are easier to cite than general advice.
- Original information. First-hand tests, data, photos, and experience give a model something it cannot get from the other ten pages.
- Clear attribution. Visible authors, dates, and sources help both people and systems judge trust. See E-E-A-T.
- Machine-readable HTML. Server-rendered text, real headings and lists, and accurate schema markup.
- Crawler access. If robots.txt blocks an AI search crawler, that tool cannot read your pages. The AI crawler guide explains the difference between training and search bots.
What to be skeptical of
- Guaranteed citations. No one controls what a model cites.
- Keyword stuffing for AI, or hidden text aimed at language models. Hidden text is spam by search engines' definitions and can cost you more than it could gain.
- One-number visibility scores from tools that sample a few prompts. AI answers vary between runs, users, and days, so treat any tracking as a trend, not a rank.
In WordPress
GEO needs no special plugin, but the technical basics are easier with one. Hydrogen SEO outputs server-rendered metadata and JSON-LD and includes an llms.txt editor. Its AI-citation analysis, which will check how AI systems mention your site, is coming soon and not yet available. For a practical starting point, see the AI Overviews guide and the AEO docs.
Common questions
Is GEO different from SEO?
It builds on SEO. AI tools retrieve pages through search, so crawlability, indexing, and rankings still come first. GEO adds attention to how quotable and specific the content is.
Is GEO the same as AEO?
Mostly. The terms overlap heavily and are often used as synonyms. GEO is more often used for long AI-generated answers, AEO for direct answers in general.
How do I know if AI tools cite my site?
Ask the tools questions in your topic and check the sources, and look for referral traffic from AI tools in your analytics. Results vary between runs, so check repeatedly.