What is GEO? Why AI names brands, not pages?

Generative engine optimisation, or GEO, is the work of getting your brand named inside the answer an AI assistant writes, rather than ranked in a list of links underneath it. When someone asks ChatGPT, Gemini, Perplexity or Claude which tool or supplier they should use, the assistant writes a short answer and names three or four brands. GEO is the work of being one of them.

Some people call the same thing answer engine optimisation, or AEO, or AI search visibility. The labels differ, the job does not.

Written by the team at Beaconn, an AI visibility tool that measures how ChatGPT, Gemini, Perplexity and Claude describe brands. Updated August 2026.

How is GEO different from SEO?

They optimise for different objects. SEO competes for a position in a ranked list of pages. GEO competes for a mention inside a written answer.

Four differences follow from that.

• What you win. SEO wins a position in a list. GEO wins a mention in a paragraph.
• How many places there are. Search has ten on page one and more pages behind it. An answer names three or four brands and has no second page.
• What decides it. SEO turns on relevance, links and the technical health of your pages. GEO turns on whether an assistant has independent material it can cite about you.
• Where the work happens. SEO is mostly on your own site. GEO is mostly off it.

There is a fifth difference that people underestimate. There is no version of GEO that works quickly, because the input is other people publishing about you, and that accumulates at the speed other people write.

Why does your own website count for so little?

Because an assistant is trying not to be wrong.

Everything on your own domain is a claim you made about yourself. Comparison articles, independent reviews, community threads and industry write ups are evidence about you produced by someone else. Naming a brand it cannot support is the failure mode an assistant is built to avoid, so it leans on the second kind of material and treats the first as background.

In the scans Beaconn runs across ChatGPT, Gemini, Perplexity and Claude, this shows up consistently. The brands an assistant names are rarely the largest in a category. They are the ones with the most independent material written about them.

That produces a rough hierarchy of what counts, strongest first.

• Independent comparisons and round ups, where someone with no stake made a call
• Customer reviews on platforms you do not control
• Community threads, which are unmistakably unpaid
• Industry write ups that quote you, worth whatever the publication's own standing is worth
• Your own website, which is not nothing, but is close to it

The less control you have over a source, the more it counts.

What GEO is not

Three things get sold as GEO regularly and none of them are.

It is not keywords in your page copy. An assistant is not matching strings against your text. It is summarising what it has read about a whole category from many sources, most of which are not yours.

It is not a schema plugin you install once. Structured data helps a machine parse a page correctly. It does not create the third party coverage an assistant needs before it will say your name.

It is not anything you can do alone on your own domain. This is the one that costs people the most time, because it feels like work and produces nothing.

If a vendor cannot tell you which of those three they are actually selling you, that is the whole answer.

Does GEO matter yet?

It depends on your category, and the data now exists to check rather than guess.

Adobe's Q2 2026 traffic report found that traffic from AI sources to US retail sites grew 393% year over year in the first quarter of 2026. Travel grew 233%, financial services 158%, media and entertainment 84%, and tech and software 63%. In the same report, visitors arriving from AI sources converted 42% better than everyone else in March 2026, having converted 38% worse in March 2025.

On the B2B side, G2's March 2026 survey found that 51% of B2B software buyers now start their research with an AI chatbot rather than a search engine, up from 29% a year earlier. Forrester's 2026 study of 18,000 buyers found that 69% chose a different vendor than the one they originally intended, and 33% bought from a company they had never heard of before the research began.

That last figure is the argument in a single number. A third of those deals went to a brand that entered the process only because an assistant named it.

How do you actually do GEO?

The work divides into three, and only the first is quick.

Measure where you stand. Take the real questions your buyers ask, in their words, and run them across all four major assistants. Record which brands get named, how often, and what sources those answers were built from. A single reading is a snapshot of a moving thing, so the measurement has to repeat.

Find the specific gaps. Not an overall score, but which individual prompts you lose, which brands take your place in those particular answers, and what those brands were cited from. That last part is the actionable half, because it tells you which kind of source is deciding your category. This is the part Beaconn was built for, because reading every answer by hand across four engines does not scale past a handful of prompts.

Earn the citations that close them. Comparison pages written by other people, reviews on platforms you do not own, presence in the round ups that already rank, and original material worth quoting. This is slow and it compounds, which is why brands that start earlier stay ahead.

Frequently asked questions

Is GEO the same as AEO?

Effectively yes. Answer engine optimisation and generative engine optimisation describe the same work: being named inside AI generated answers. AEO is sometimes used more narrowly for featured snippets and voice results.

Does GEO replace SEO?

No. They overlap and they are not substitutes. Ranking still matters, and pages that rank well are often among the sources an assistant reads. But ranking first no longer guarantees you appear in the answer above the results.

How long does GEO take?

Months rather than weeks. The input is independent published material about you, which accumulates slowly. Anyone promising results in weeks is describing something else.

Can you pay to appear in AI answers?

Not directly, and that is the structurally interesting part. Assistants name brands they can cite. Advertising does not create citations, so budget alone does not buy a position in the answer.

How do you measure GEO?

By running a fixed set of buyer questions across the major assistants at a regular cadence, recording every brand named and every source cited, and tracking the change over time. A single scan tells you where you stand today. The series tells you whether the work is working.

About Beaconn

Beaconn is an AI visibility tool that shows how ChatGPT, Gemini, Perplexity and Claude describe your brand, and what to publish to get named in their answers. It runs your buyers' real questions across all four engines, reads every answer rather than counting mentions, and turns each gap into a ranked piece of work.