Why doesn't AI search recommend your brand?

Usually because you are not in the pool it draws from. When someone asks AI search who to buy from, it assembles a short candidate list out of what it can retrieve and what independent sources say, then picks from that list. A business can rank perfectly well on Google and never enter the list at all.

Three causes come up again and again: nothing you own states plainly what you do and who it is for; nobody independent corroborates it; or you are in the list and AI has a reason to pick someone else. They need different fixes, and guessing between them is expensive.

A report tells you which of the three is yours, with the evidence for it.

In stages, and being found is only the first one. AI search expands your customer's question into several queries of its own, retrieves pages, cites some of them, and then writes an answer that may or may not reflect what it cited. Being retrieved, being cited, being mentioned and being recommended are four different outcomes. Visibility is only the first.

It is easy to assume you are at stage four when you are at stage one, and the fix for each stage is different.

A report places you at each stage, so you stop solving the wrong problem.

Because it is assembling a description out of whatever the web says about you, weighted toward sources it trusts more than your own homepage. Wrong descriptions often trace to a specific origin: an old directory entry, a page title you wrote years ago and forgot, a press mention carrying a stale fact.

That is better news than it sounds. A wrong description with a findable source is correctable. A vague one with no source is the harder case.

A report traces the description back to where it came from.

Because it is matching what the customer said against your product data, and your best-fitting product often does not say the thing the customer said. AI search works from attributes, descriptions and structured data. They do not have your internal knowledge of your own range.

This is the most expensive failure and the most invisible one. The customer buys something. It is the wrong thing, or it is from someone else, and nothing in your analytics ever tells you.

A report shows which of your products get chosen, for which needs, and why the others do not.

Often because they answer a constraint you leave implicit. The businesses that surface in your place are frequently not the ones you consider rivals commercially, which is why this is hard to predict from the inside.

They tend to be the ones whose pages say the specific thing the customer asked about: a material, a size range, a country they ship to, a use case. Where your page says something more general, and better written.

A report names them, by customer need, and shows what they have that you do not.

No, and nobody can. There is no ranking dial, no paid placement inside these answers, and the platforms change behaviour without notice.

What can be done is better evidenced: make the business technically possible to retrieve at all, state the decisive facts plainly on pages that exist to answer one question each, and get those facts corroborated by sources that are not you. Then measure whether it moved. Anyone offering you a guarantee here is selling you something else.

Whether you can be retrieved at all. Pages blocked to AI search crawlers, content that only appears after JavaScript runs, duplicated language versions, missing product data. This is unglamorous, and nothing else matters until it is right.

What your own pages say. One page doing one job, opening with the answer, carrying the decisive facts in the words customers actually use rather than the words your industry uses.

What other sources say about you. Your own pages say what you are; independent sources make it believable. They do different jobs, and it is easy to work only on the first.

A report puts your specific problems in order, which is rarely the order they feel urgent in.

Weeks for retrieval fixes to be picked up. Longer for anything that depends on other people's pages, because it depends on other people.

We plan in ninety-day blocks and re-test the same questions under the same conditions at the end of them. We do not forecast a curve, because nobody can honestly forecast one on platforms that change this often.

By asking the same questions again, the same way, and comparing the answers. That only works if the first set was recorded properly, which is why the method is published.

Where your own platforms expose it, Google Search Console and Bing Webmaster Tools also report real impressions and citations for your pages. Part of an honest answer is what cannot be proved: there is no rank to track here, and we will tell you which of your questions the evidence cannot settle.

One fixed fee, quoted and agreed in writing before any work starts. There is nothing to sign afterwards and no monthly commitment.

We quote it on the call, once we know the markets, languages and surfaces worth testing for you. If the number does not work for you, you have lost twenty minutes.

Almost certainly not, and the assumption that it is costs businesses this size the most.

A brand with a clear offer and real customers is exactly what AI search can get wrong, because there is enough about you to describe and not quite enough to describe you accurately. If we do not think a report is worth it for you, we will say so on the call rather than sell you one.

It overlaps, and anyone telling you it is a completely separate discipline is overselling. For Google's AI answers in particular, the ordinary foundations still carry most of the weight.

What is different is that we look at the conversations rather than the rankings: what AI search says about you in sentences, which of your products they reach for, what they get wrong, and who they name instead of you. A rank tells you a position. An answer tells you what a customer was told.

Twenty minutes, and answers to a few questions about what you want to achieve.

No access to your site, your analytics or your accounts. Nothing to install. We work from what any customer can see, which is the point: that is all AI search sees either.

Because every claim is labelled, and you can check each one. Findings are marked as observed, as verified against an independent source, as our interpretation, as a hypothesis worth testing, or as unknown.

The conditions, dates and method are published in the report, and so are the limits. A finding from one conversation is not presented as a pattern. Read the method.