Home · The problem
Why your company may not be in the answer
Not being named is rarely a judgement about quality. More often, AI systems have too little clear, corroborated information to include you with confidence.
What changed
Buyers used to open ten tabs. Now they ask one question and read one answer. That answer names a handful of suppliers, explains the trade-offs, and does the comparison work a buyer previously spent a week on.
By the time you hear from someone, the field has already narrowed.
Why you might be missing
AI systems assemble answers from the sources they can retrieve and weigh. Where the information about a company is thin, inconsistent or hard to connect, that company tends to appear less often — not because it was assessed and rejected, but because there was little to work with.
Four patterns account for most of it:
- Absent You do not appear in answers to questions you should own. A buyer asks who supplies case packers for glass jars and gets four names, none of them yours.
- Misdescribed You appear, but the description is out of date or simply wrong. A company that stopped making a product line in 2019 is still described by it.
- Under-specified You appear as a general supplier, not for the specific product the buyer asked about. Known for palletisers, invisible for palletising 25kg sacks.
- Uncorroborated You appear, but nothing outside your own website supports it. Every claim about you traces back to a page you wrote, which is the weakest kind of evidence there is.
Each has a different fix, which is why the measurement comes before the work.
Why your analytics cannot show it
Every tool you own measures visits. This is a measurement of answers.
A buyer who reads three supplier names and contacts two leaves no trace with the third. No session, no referrer, no impression, no keyword. The loss appears nowhere in Analytics, Search Console or your CRM.
What happened
- A buyer asks an AI who to consider
- The answer names three suppliers
- He contacts two of them
- The third never hears from him
What your analytics recorded
That is not a reporting gap you can close with a better dashboard. The only way to see it is to ask the questions yourself and record what comes back.
Why this is not an SEO problem
Search visibility and AI visibility are different measurements. You can rank on page one for a term and still be absent from the answer a buyer actually reads, because the answer is assembled rather than ranked. There is no position eleven and no second page.
You are named or you are not.
Three questions this raises have answers of their own: why your competitors appear in ChatGPT answers and you do not, your B2B website stopped producing enquiries, and is SEO dead in 2026.
What we do about it
We measure it, identify the factors influencing the result, improve the underlying evidence and information, and measure again.
We do not promise a position, a recommendation or a citation. AI systems are probabilistic and continuously changing, and anyone promising those outcomes is describing something they cannot control.
Questions
How do we find out whether this is happening to us?
You ask the questions your buyers ask and record what comes back. That is what the AI Visibility Audit does: we agree the questions with you, run them across six AI systems, and give you the answers in writing, for you and for the competitors you name. Until that record exists, any view on how AI describes your company is guesswork.
Is this something our existing SEO agency can fix?
It depends on what they measure. An agency reporting on rankings, sessions and impressions is reporting on a different thing, and its numbers can look healthy while you are absent from the answer. Ask them what your company appears in when a buyer asks an AI who to consider. If they cannot answer that, nobody is measuring it.
How long before we would see this change?
Four to six months. The measurement is quick; the evidence that changes an answer takes time to build and to be picked up. We say this before you engage us, not after.