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Generative Engine Optimization (GEO): Getting Cited by AI Answers

GEO is the practice of making your content easy for AI assistants and AI search to find, understand and cite. How AI answers pick sources, what actually helps (clear facts, structure, original data, crawlability, reputation), what's hype, and how to measure it.

More people now ask ChatGPT, Claude, Perplexity or Google's AI features instead of clicking through search results. Generative engine optimization (GEO) — also called AEO (answer engine optimization) or LLM SEO — is about making your content the kind those AI answers find, trust and cite.

It's not a replacement for SEO. It's mostly good SEO, with a few extra emphases. (SEO basics for your app)

How AI answers choose sources

Most AI answers that cite sources work roughly like this:

  1. The question is turned into one or more searches (often using a regular search engine's index).
  2. The top results are fetched and read.
  3. The model writes an answer from those pages and cites some of them.

So to be cited, your page must be findable (indexed, ranking for the searches), readable (accessible to the AI's fetcher) and useful to quote (contains clear, specific answers). (What is RAG?)

Models also draw on what they learned in training — which favours content that was widely published and linked before their cutoff. (What is a knowledge cutoff?)

What actually helps

1. Answer questions directly

Put a clear, self-contained answer near the top: "A 502 error means the proxy couldn't get a valid response from your app." Models quote sentences like that. Long preambles get skipped.

2. Be specific and factual

Numbers, names, steps, comparisons, prices with dates. "Plans start at $9/month (October 2026)" is citable; "affordable plans" isn't.

3. Structure for skimming

Descriptive headings, short paragraphs, lists, tables and FAQs. The same things that help human readers make passages easy to extract. (Semantic HTML)

4. Offer something original

Original data, benchmarks, real examples, honest comparisons, first-hand experience. AI answers lean on sources that add something; pages that restate others add little.

5. Make sure AI crawlers can read you

  • Check robots.txt isn't blocking the crawlers you want. Each AI company publishes its crawler names; some are for training, some for live answers. (robots.txt explained)
  • Check your CDN or firewall's bot protection isn't blocking them silently.
  • Server-render important content — many AI fetchers don't run JavaScript, so a client-side-only page can look empty. (SSR vs CSR vs SSG)

6. Help machines understand the page

7. Build reputation off your site

AI answers often draw on third-party mentions: reviews, comparisons, forums, Reddit, documentation, news. Being discussed in the places your audience trusts matters, just as backlinks do for SEO.

8. Keep facts current

Outdated pricing or features in your pages become outdated AI answers about you. Date your content and update it.

What's mostly hype

  • Hidden text or "prompts" aimed at AI crawlers — manipulative, and likely to backfire.
  • Stuffing pages with keywords or question variations.
  • Expecting llms.txt alone to change anything.

Measuring it

Harder than SEO, but possible:

  • Referral traffic from chatgpt.com, perplexity.ai, claude.ai and similar in your analytics. (Analytics for beginners)
  • Ask the assistants the questions your customers ask and see whether you're cited — regularly, as answers change.
  • Search Console for the underlying search visibility. (Google Search Console)

EasySpawn serves your site from your own server, fully server-rendered if you choose, with full control over robots.txt, headers and structured data — so AI crawlers see your real content. See how it works or join the waitlist.

Related: SEO Basics for Your App · What Is llms.txt? · Schema Markup Explained · How to Get Your Website on Google

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