Why ChatGPT Never Mentions Your Company

This section sounds procedural and it is the foundation of everything after it. A prompt set quietly edited between runs makes every trend line in the document meaningless, and it is the easiest way to manufacture improvement without doing anything.

This explains the most common frustration brands report, which is watching a competitor with a worse website get recommended instead. That competitor is usually not better optimised. They are more written about, and the system is weighing the difference.

The practical response to that uncertainty is to work on the things that are robust to it. Accessible pages, coherent identity, quotable writing and honest third party coverage have helped under every configuration observed so far, and they are the parts you would want anyway. get recommended by ai

They will not quote statistics without sources, and they will not present a tool's sampled estimate as a count of what happened. If none of these boundaries come up unprompted, ask directly and listen for whether the answer sounds rehearsed or considered.

Ask to See Their Own Position This one is unfair and revealing. Ask an assistant to recommend an agency for this kind of work, using a prompt a buyer would write, and see whether the company sitting in front of you appears.

What Ranking Does and Does Not Buy You Ranking still helps, because the retrieval step usually starts with a search. But it buys far less than people assume. Ahrefs examined 15,000 long-tail prompts across four assistants in July 2025 and found roughly 80 percent of cited pages did not rank for the original query at all, with about 12 percent in the top ten.

You Have No Stable Identity Models need to connect scattered mentions to a single entity. If your company appears under three different spellings, lists two different founding years, and gives an address on your site that does not match your directory listings, those mentions may never be joined up.

One test separates a report written to inform from one written to reassure. Read it and try to write down a question it does not answer. In a good report you will find several, because it contains enough specifics to make new questions obvious. In a padded one you will struggle, not because everything is covered but because there is nothing specific enough to interrogate.

Long sections on activity that produced nothing, described in the language of effort rather than outcome. And the most reliable indicator, a report you cannot disagree with, because it contains no specific claim to test.

One final question is worth reserving for the end of the meeting. Ask what they think you should stop doing. An agency with a real diagnosis always has an answer, and an agency that only wants to add work to your existing spend usually does not. get recommended by ai

A Numeric Name Is an Entity Problem Names beginning with digits behave differently across the web than names beginning with letters. They get written several ways, they sort strangely in directories, and they collide with unrelated numeric strings in ways that letter based names do not.

What to Do About llms.txt and Similar Files Proposals for machine readable files aimed specifically at language model consumers appear periodically. Adoption is inconsistent and support varies by provider, so treat these as low cost and speculative rather than as a requirement.

None of them are harmful. They just consume implementation and maintenance time that would achieve more if spent making the Organization markup accurate everywhere, or correcting the directory listing that has your old address on it.

Fragmented identity produces a specific symptom worth recognising: an assistant knows facts about you but attributes them vaguely, or confuses you with a similarly named business. The fix is dull consistency work across every place your name appears.

Broad sites are forgiving. A blocked section or a badly rendered template still leaves a hundred other pages describing the organisation. A small site with five pages has no such buffer, which makes the mechanical checks disproportionately important.

Nobody outside the labs has the full picture, and anyone claiming otherwise is guessing with confidence. What we do have is a large volume of observable behaviour, published research and the citations that several assistants display openly, and those three together support some reasonably firm conclusions.

You Are Blocking the Crawlers The most common cause is also the least interesting. Your robots.txt disallows the user agents that feed AI systems, or a firewall rule is rejecting them, or a bot management product is serving them a challenge page they cannot pass.

It is also worth asking for the report a day before the meeting rather than seeing it in the room. A document presented live is experienced as a narrative and approved on the strength of the delivery. The same document read beforehand is experienced as evidence, and the questions that occur to you reading it alone are usually the ones worth asking.