What is generative engine optimization (GEO)?

Ask ChatGPT, Perplexity, Claude or Gemini which product to buy and you rarely get ten blue links. You get an answer: a short paragraph, a list of three to five named options, and a handful of cited sources. Generative engine optimization (GEO) is the work of making sure your brand is one of those names — described accurately, for the right reasons.

You will also see it called answer engine optimization (AEO), AI SEO or LLM optimization. The labels differ; the goal is the same. This guide explains how AI answers are put together, what changes compared with classic SEO, and the handful of levers that genuinely move the needle.

In short

• GEO is about being mentioned and recommended in AI answers, not just ranked on a results page.
• Answers combine what a model learned in training with what it retrieves from the web right now. The second part is the one you can influence this quarter.
• The sources assistants cite — reviews, comparisons, communities, documentation — matter as much as your own website.
• AI answers vary from one ask to the next, so GEO has to be measured with samples and ranges, not single screenshots.

How an AI answer is assembled

Every major assistant now answers buying questions in roughly the same way, even if the details differ between products and change often.

1. The question is interpreted. The model works out what is being asked — a category recommendation, a head-to-head comparison, an alternative to a named product, a how-to.
2. It decides whether to search. For questions about products, prices and "best" options, assistants with web access usually run one or more searches and read a selection of pages.
3. It synthesises. The model combines what it retrieved with what it already "knows" from training, then writes an answer — often a ranked or bulleted list.
4. It cites (sometimes). Perplexity cites heavily; ChatGPT, Claude and Gemini show sources when they searched. Those citations tell you which pages shaped the answer.

Two consequences follow. First, brands that were discussed widely and consistently before a model's training cutoff have a head start, and that head start changes slowly. Second, the retrieval step is live: if the pages an assistant reads this week describe you well, you can appear in answers this week.

How GEO differs from SEO

GEO is not a replacement for search engine optimization. Retrieval often runs on top of a web search index, so pages that are crawlable, fast and clearly written still win. But several things change.

The unit of success is a mention, not a click

In classic search the goal is a high position and a click. In an AI answer, the goal is to be named, ranked well and described accurately — often without any click at all. A buyer may read the answer, remember your name and come back later through a branded search.

Your website is only one of the sources

Assistants lean on third-party pages: review sites, "best of" roundups, comparison articles, community threads, documentation and directories. If those pages list your competitors and not you, your own homepage cannot fully compensate.

Answers are generated, so they vary

Ask the same question twice and you can get a different list. Models are updated, retrieval results shift and wording changes. That makes GEO a game of raising the probability of being recommended across many questions, not of locking in a single position.

The questions are longer and more specific

People describe their situation — team size, budget, industry, the tool they are leaving. "Best CRM" becomes "best CRM for a ten-person B2B sales team that already uses Gmail". You need content that matches those specific situations.

What stays the same

Plenty of good SEO practice carries over directly:

• Pages that are crawlable without JavaScript tricks, with clear titles and headings.
• Accurate, consistent facts about what you sell, who it is for and what it costs.
• Authority earned from other sites — being mentioned and linked by sources people trust.
• Helpful content that answers a real question better than the alternatives.

If your SEO foundations are weak, fix them first. GEO builds on them rather than around them.

The levers that move AI visibility

None of these guarantees a mention — nobody can promise that — but together they make you easier to find, understand and recommend.

1. Make your entity unambiguous

State plainly, on your homepage and key pages, what you are, which category you belong to, who you serve and how you differ. If your product name is also a common word or shared with another company, use the full name consistently and describe the category next to it.

2. Publish answer-shaped pages

For each important buyer question, ask: is there one page on my site that answers this directly? Use-case pages ("for agencies", "for small sales teams"), integration pages, pricing pages and honest comparison pages give retrieval something precise to quote.

3. Earn a place in the sources that get cited

Look at the domains cited in answers where competitors appear and you don't. Those review sites, directories, roundups and communities are your outreach list. This is often the fastest lever, because it changes what assistants read during retrieval.

4. Be present in comparisons and alternatives

"X vs Y" and "alternatives to Y" are some of the most common buying questions. Factual comparison pages on your own site, plus inclusion in independent comparisons, help you show up when buyers are actively choosing.

5. Keep facts crawlable and current

If pricing, plans or capabilities only exist inside an app or a PDF, assistants may quote an outdated third-party description instead. Keep the essentials on fast, public HTML pages. Structured data (Organization, Product or SoftwareApplication, genuine FAQPage markup) removes ambiguity, and an /llms.txt file is a cheap, emerging convention for summarising your site.

6. Stay consistent everywhere

Your positioning on your site, review profiles, social profiles and partner pages should agree. Contradictory descriptions make it harder for a model to describe you confidently.

How to measure GEO

Because answers vary, a single screenshot of one answer tells you very little. Useful measurement looks like a survey:

• A fixed set of buyer prompts — the real questions your customers ask, across "best X for Y", "X vs Y", "alternatives to Y" and how-to intents.
• Several engines — ChatGPT, Perplexity, Claude and Gemini each retrieve and answer differently.
• Repeated over time — the same prompts, asked on a schedule, so you can see a trend.
• Metrics with uncertainty — a mention rate weighted by position, share of voice against competitors, the sources that were cited, and a confidence range so you can tell a real change from noise.

That is exactly what Mentioned automates: it asks your prompts to each engine through their official APIs with web search on, reads every answer, and reports a 0–100 visibility score with a ± range. Our methodology page documents the scoring in full.

A sensible way to start

1. Write down 25–50 buyer questions. Use your sales calls, support tickets and the language in your reviews. Our guide to choosing buyer prompts walks through it.
2. Take a baseline. Record where you appear, which competitors appear instead and which sources are cited. The free audit gives you a quick first look.
3. Fix the obvious gaps. Clarify your positioning, publish the missing answer-shaped pages, and correct outdated facts.
4. Work the sources. Prioritise the cited domains that mention competitors but not you.
5. Re-measure weekly. Compare changes against the confidence range, and connect movements to the work you shipped.

GEO is young, and the platforms will keep changing. The fundamentals won't: be clear about what you are, be present where buyers and models look, and measure honestly.