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How do I get my company recommended by ChatGPT?

Get into the sources it reads. Assistants do not rank your website; they repeat what other pages say about you — directories, review sites, forum threads and comparison posts. Editing your own homepage does not move that, and Google names buying mentions as something to avoid.

Across 75 answers we recorded on AI-visibility buying questions, the most cited domain was youtube.com (16 times), ahead of reddit.com (10). The sources carrying these answers are video and forums, not agency blogs.

Our own measurement: 15 buyer questions across five engines, September 2026.

Why doesn't the model already mention you?

Because it never saw you. An assistant assembles its answer from what other pages say about your category. Your own site is one input among many, and usually not the one that decides the shortlist.

This is also why a company can rank first on Google and be absent from the answer. Ranking moves your page up a list of links. Being named requires other sources to have said your name in a context the model trusts.

Which sources actually carry these answers?

Not the ones most teams write for. In the answers we recorded, the most cited domain was YouTube, ahead of Reddit. Vendor blogs barely featured.

That has a blunt implication. If your plan for being cited is publishing more posts on your own blog, you are producing the source type these answers used least. The work is in the places that already carry the answer for your category: the directory your buyers check, the review page, the comparison article someone else wrote, the thread where people ask for recommendations.

What does Google say works?

Be crawlable, be indexed and eligible for a snippet, use semantic HTML, give the page a clear structure, and publish something that is not a commodity. Google publishes this directly.

It is equally specific about what does not help: llms.txt and other special files, chunking your content into fragments, rewriting pages for machines, and overfocusing on structured data, which it says is not required.

It also names pursuing inauthentic mentions across the web as something to avoid. We agree, and it is the line worth being careful about: a real directory listing, a corrected fact and a genuine comparison entry are not the same as a bought mention, and only the first kind survives.

"Doing so will neither harm nor help your site's visibility or rankings in Google Search, as Google Search ignores them."
Google Search Central, on llms.txt files. Read the source

What is the order of work?

Measure first, then find the sources, then get into them, then measure again. Doing it in any other order means you cannot tell whether anything worked.

  1. 01

    Find the questions your buyers ask. Unbranded, in their words. Your category, your competitors' positioning, the phrasing that turns up in your own sales calls.

  2. 02

    Find the domains those answers cite. Every answer comes with sources. Rank them by how often each one carries the answer for your category.

  3. 03

    Get into those sources, factually. Directory profiles, review-site pages, comparison articles. Where a source has you wrong, file the correction.

  4. 04

    Re-measure with the same questions. Same models, fresh run, dates attached. What moved and what did not.

Questions people ask next

Does publishing an llms.txt help?
Not in Google Search. Google's documentation states the file will neither harm nor help your visibility there because Search ignores it. It says nothing about ChatGPT or Perplexity, and neither will we. We audited seven mid-market sites: all seven had the file and none were being cited by the models we checked.
Can I pay for mentions?
Google explicitly lists pursuing inauthentic mentions as something not to do, and the assistants are getting better at discounting sources that look bought. Real listings and corrected facts are slower and they are the part that holds.
How long until it changes?
We do not know for your category, and anyone who gives you a number has not measured yours. What is knowable is what moved week over week, with the model IDs and dates attached, which is enough to decide whether to continue.

Sources

Last updated 2026-09-25.

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