Why Don’t ChatGPT and Gemini Recommend Your Brand? A 12-Point GEO Checklist
Your customers no longer type “best packaging machine manufacturer” into Google; they ask ChatGPT and call one of the three names it gives them. If you’re not one of those three names, ranking first in the search results doesn’t mean much. This article explains what needs to be done on your website and beyond it to make that list.
How does AI choose a brand?
When language models generate a recommendation, they draw on three sources: lasting knowledge from their training data, live search results, and the readable text content of web pages. Where these three overlap, there is one shared requirement: consistent, clear, and quotable text about your brand.
That’s why GEO isn’t a rival to classic SEO but its continuation. The difference: Google returns a list of links, while AI builds an answer. To become part of that answer, your information has to be available in a form that can be lifted as a sentence.
The 12-point checklist
1. Give every service a single, clear definition sentence
At the very top of the page, the answer to “What is X?” should be given in one sentence. The model quotes that sentence. Marketing slogans don’t get quoted.
2. Use question headings
Turn your H2 and H3 headings into real user questions: “How much does it cost?” instead of “Pricing.” The model finds the block that matches the question and answers from it.
3. Put the answer right below the heading
The first paragraph after a heading should be the direct answer, not a lead-in. That paragraph is what gets quoted.
4. Give concrete numbers and timeframes
“Fast delivery” doesn’t get quoted; “an average of 6 weeks” does. Vague statements are of no use to the model.
5. Add structured data
Organization, Service, FAQPage, Article, and Breadcrumb markup tell machines clearly what the page is. In our GEO service, we write this markup by hand rather than leaving it to a plugin.
6. Ensure entity consistency
Brand name, address, phone number, founding year, list of services: these must be identical on your website, social profiles, directories, and map listing. Contradictory information lowers the model’s confidence and leads it to drop your brand.
7. Publish an llms.txt file
A file in the site root that summarizes your brand and services in plain text. It gives AI crawlers a direct summary of your brand. Take a look at our own llms.txt file.
8. Don’t block AI crawlers
If you’ve blocked AI crawlers in your robots.txt file, you won’t appear in answers. On many sites, this setting was made unknowingly, and it is the first thing to check in any GEO project.
9. Don’t hide content behind JavaScript
Many AI crawlers don’t execute JavaScript. The text that carries the meaning of the page must be in the HTML delivered by the server. The same rule applies to 3D and animated websites: no text inside a canvas can be read.
10. Be visible on third-party sources
Models don’t trust a single source; they trust overlap between sources. Industry directories, press coverage, partner articles, customer case studies: having your brand name mentioned elsewhere directly increases the likelihood of being recommended.
11. Create comparison and alternatives content
Users ask AI “X or Y?” The brand that produces honest comparison content in its own field shows up in the answer to that question. Our SEO vs. GEO article was written for exactly this purpose.
12. Measure
The most frequently skipped part of GEO. AI-referred traffic should be tagged as a separate channel, and source attribution should be set up for orders and form submissions. You can’t defend the budget of a channel you don’t measure.
How do you test your own brand?
A simple method: write down 10 real questions your customers would ask, put them to three different assistants (ChatGPT, Gemini, Perplexity), and log the brand names that come up in a table. Repeat this monthly. How many questions you appear in, in what context, and which competitors outrank you: that is the real scorecard of your GEO work.
The questions shouldn’t be brand searches like “what is besight house”; they should be unbranded, intent-driven questions like “agencies in Istanbul that build 3D websites.” That’s where the real wins are.
How is it different from SEO, or is it the same job?
There’s a lot of overlap, but it isn’t the same. SEO aims for the click; GEO aims to be quoted. In SEO, the title tag and meta description determine click-through rate; in GEO, they have no effect at all, because the user never sees a list of results.
In practice, the right approach is to build both on a single content architecture: each page is written to rank and to be quoted. You can see how we do it in our GEO guide and our SEO guide.
Frequently asked questions
How long does GEO take to show results?
Technical fixes (robots.txt, schema, llms.txt, server-side content) can take effect within weeks, because crawlers visit frequently. Entity consistency and third-party visibility, on the other hand, are measured in months.
Does AI traffic actually generate sales?
It does, and it’s high-quality traffic. Visitors who arrive on an assistant’s recommendation are usually close to the decision stage; they’ve already asked their preliminary questions.
Can you pay ChatGPT to get on the list?
Not for organic answers. Ad products are a separate matter; you can’t pay your way into the assistant’s own recommendations. Visibility comes from the 12 points above.
Can a small business compete with big brands?
In a narrow, clearly defined niche, yes, and it can even be an advantage. The model prefers the source that answers that specific question clearly over a generic big-name brand.
Am I handing my site content over to AI?
It’s a matter of choice. If you block crawlers, your content won’t be used, but you won’t appear in recommendations either. For brands that sell services, the value of being visible is far higher than the value of keeping their content from being read.