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How to GEO

Before you fix your website or buy a GEO package, find out which pages AI reads about your market.

Deep GuideMarket & Pull
Reading time9 min
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IncludesAI Visibility Map of your project
By , founder of Beyonds Updated
Before you start

In short

What this guide is about
How AI assistants choose which products to name, why fixing your own website rarely changes their choice, and what to do over 4 weeks to get named.
The core idea
Your site gets you read. Other people’s pages get you named.
How to decide
3 questions: are you named when someone asks without your name? Which pages are those answers built from? Are you on those pages, described the same way as on your site?
What you leave with
An AI Visibility Map of your project: the questions you want to be named for, where you stand today, and the pages to get onto.

You launched. Someone on the team asks ChatGPT for the best tool in your category. It names 3 competitors. Your product isn’t there.

The next move feels obvious. Fix the website: add an FAQ, add schema, add an llms.txt file. Or reply to one of the agencies that offered a GEO package with a guaranteed place in AI answers.

The reasoning makes sense. If AI can’t find you, make yourself easier to find. Sometimes that is exactly the problem: the site blocks AI crawlers, or the text loads only through JavaScript and the crawler sees an empty page.

More often the site is fine, and the answer still names someone else. The answer was built from other pages.

02

Where an AI answer comes from

When someone asks ChatGPT, Perplexity or Google’s AI for a product, the assistant usually searches the web first. One question turns into several smaller searches. It reads some of the pages that come back and writes the answer from them. The brands on those pages are the brands it names.

Follow one question.

The questionThe searchesThe pages it readsThe answer
The question
“Best tool for invoice matching for small agencies”
The searches
invoice matching software
alternatives to [a known brand]
invoice tool reviews
invoice automation for agencies
The pages it reads
“Best of” list
“Best of” list
Comparison article
Directory
Reddit thread
Competitor’s site
The answer
Brand A
Brand B
Brand C
The question

Someone asks an assistant for a product.

The searches

The assistant splits the question into several searches.

The pages it reads

Each search brings back pages. It reads some of them.

The answer

It names the brands those pages mention.

“Best tool for invoice matching for small agencies”
invoice matching software
“Best of” listAB
DirectoryA
alternatives to [a known brand]
Comparison articleAB
Competitor’s siteC
invoice tool reviews
“Best of” listAC
Reddit threadB
invoice automation for agencies
the same 2 “Best of” lists
Brand Aon 4 pages
Brand Bon 3 pages
Brand Con 2 pages

3 brands named. All 3 appear on at least 2 of the pages it read.

Example. The searches an assistant runs differ from question to question and from run to run.

Your site is one of the pages it might read. Most of the others belong to someone else.

There is a second source: what the model remembers from training. That memory is months or years old and changes when a new model comes out. For a new product, the live search is where you can move something now.

03

What we saw in 65 small businesses

We asked ChatGPT, Copilot and Google’s AI the questions customers ask about 65 local firms in Italy: window makers, wedding venues, pool builders. Then we looked at which pages each answer was built from.

≈3%Own websites
≈⅓Directories and marketplaces
Everything elseother firms’ sites, reviews, articles, social

For 2 firms in 3, a directory was the most-cited source of all.

The sites still mattered. Firms whose site never appeared in the answers were named about 3 times less often.

Your site gets you read. Other people’s pages get you named.

04

Isn’t this just PR with a new name?

Partly, yes. Being written about has always mattered. 2 things are new.

FirstYou can see the exact pages an assistant reads for a given question. The work stops being “get more coverage” and becomes “get onto these 12 pages”.
SecondYou can count the result. Ask the same questions every week and see whether the share of answers that name you goes up.
05

Which of these is closest to you?

Nobody names you, even on narrow questions

Start with the question. Is there a question your buyer asks where you could be the best answer? “Invoice matching for agencies with fewer than 20 clients” has a handful of good pages on the web. “Software for documents” has thousands.

The question that changes the next move: which narrow question do we want to be named for, and which pages answer it today?

You are named when someone asks about you, and never otherwise

This is the most common picture. Ask “what is [your product]” and the assistant finds your site. Ask what your buyer asks, without your name, and you’re missing. The first result flatters you. The second is where buyers choose.

The question that changes the next move: which pages name our competitors for our buyer’s questions?

You are named, and described wrong

Wrong category, old price, a buyer you don’t serve. The assistant repeats what the pages say. If a directory or a reference entry files you under the wrong category, you can drop out of answers about the right one.

The question that changes the next move: where does the wrong description come from?

Big brands take every broad answer

On “the best CRM” they will keep winning: they fill every review site and comparison list. That race is closed to a new product for now.

The question that changes the next move: which narrower question sits inside the broad one, where our buyer is more specific than the big brands’ pages?

06

How to measure without fooling yourself

Ask the same assistant the same question twice and you get 2 different answers. SparkToro, a market research company, found less than a 1 in 100 chance of getting the same list of brands across 100 runs. A screenshot of one answer proves nothing. “We’re #1 in ChatGPT” means nothing either.

So measure a share. Take questions your buyer asks without your name, run each one several times, and count how many answers name you.

Track 3 numbers.

Example40 buyer questions, no brand name
6 of 40Named
3 of 40Your pages cited
5 of 6Described correctly

Then check them against the number that pays: how many new leads say they found you through an assistant.

07

4 weeks

4 weeks of work. Don’t expect the share to change in the same month: a new page counts only once assistants find it, and the model’s memory changes only with new models.

{{ w.title }}

{{ w.count }}
Gives AI something to match“Invoice matching for agencies on QuickBooks”
Gives it nothing“Smarter finance workflows”
08

The technical floor

5 checks. A developer does them in an afternoon.

robots.txt. At yoursite.com/robots.txt, allow OAI-SearchBot (ChatGPT search), PerplexityBot and Googlebot. GPTBot is a separate switch: it decides whether your pages are used for training.

Bing. ChatGPT search works with other search providers, so allow Bingbot and submit your sitemap in Bing Webmaster Tools.

Your CDN. Since July 2026 Cloudflare splits AI bots into Search, Agent and Training, each with its own switch. Keep Search allowed, and Agent too: it covers ChatGPT opening your page when a user asks. Blocking Training also blocks crawlers that do both jobs, such as Googlebot and Bingbot.

Text in the page. Open “View page source” and search for your main sentence. Most AI crawlers don’t run JavaScript: if the text appears only after the page loads, they see an empty page.

No special files. Google lists no requirement for llms.txt, AI text files or extra markup to appear in its AI answers.

09

AI Visibility Map

Take the question your buyer asks.

Answers stay in your browser until you choose to send them.

1. Who is your buyer, in one line?

Role, type of company, size.

2. Write 5 questions they would ask before they know you.

None of them contains your name.

3. Ask each one in ChatGPT. In how many answers were you named?

{{ namedNote }}

4. What kinds of pages did the answers cite?

Mark all you saw.

5. Are you on the 3 most-cited pages?

{{ onPagesNote }}

6. Do those pages describe you the way your site does?

{{ descNote }}
Your map
10

The next question

Too broadHow do we get into ChatGPT?
BetterWhich question do we want to be named for, and which pages decide the answer to it today?

If the map shows the question and the pages, start the 4 weeks. If you couldn’t write 5 questions your buyer asks, the open question sits before GEO: whom the product is for.

11
  1. Searching the web with ChatGPT — OpenAI Help Center, updated September 2026 — help.openai.com/en/articles/9237897-searching-the-web-with-chatgpt
  2. Overview of OpenAI Crawlers — OpenAI, accessed 21 October 2026 — developers.openai.com/api/docs/bots
  3. AI features and your website — Google Search Central, updated 10 December 2025 — developers.google.com/search/docs/appearance/ai-features
  4. AIs are highly inconsistent when recommending brands or products — SparkToro and Gumshoe, 27 January 2026 — sparktoro.com/blog/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility
  5. The 50 most-cited websites in Google AI Overviews (September 2026) — Ahrefs — ahrefs.com/blog/most-cited-domains-ai-overviews
  6. New options to manage AI traffic — Cloudflare, 1 July 2026 — developers.cloudflare.com/changelog/post/2026-07-01-ai-traffic-options
  7. The rise of the AI crawler — Vercel, 17 December 2024 — vercel.com/blog/the-rise-of-the-ai-crawler
  8. Schema markup and AI in 2025: what ChatGPT, Claude, Perplexity and Gemini really see — searchVIU, 2 December 2025 — searchviu.com/en/schema-markup-and-ai-in-2025-what-chatgpt-claude-perplexity-gemini-really-see
  9. Wikipedia: Conflict of interest — en.wikipedia.org/wiki/Wikipedia:Conflict_of_interest
  10. Own observation: 65 local businesses in Italy, AI answers checked 19–20 October 2026 (Beyonds)

Not sure where GEO fits in your go-to-market?

Strategic Reframe SessionYou leave with · your go-to-market frame · the first channel to test

A Strategic Reframe Session is 60 minutes with a Beyonds mentor on your whole project. Being named in AI answers is one channel. Which channel comes first depends on where the project stands:

—Still an idea, or no paying customers yet: whom you sell to first, how they look for a solution today, and how you reach the first ones.
—Launching: which channels to test first, AI answers among them, and what each test has to show.
—Already selling: where your customers actually came from, and whether AI visibility is worth your time now.

You leave with 3 documents written for your project: where it stands, the risks ahead and what to do next. If you already know your buyer and your channels, skip the session and start week 1.

{{ srsLabel }} →60 min · 1:1 · free

Your AI Visibility Map travels with the request, so the mentor sees your buyer and your questions before the call.

If the open question is whether the market will move before a full build, Market Pull Route has its own free selection session.

Keep reading

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