Not because you are not good. Because it could not work out who you are. Assistants name people they can identify, and skip the ones they cannot, and almost nobody has checked which of those two they currently are.
It is tempting to imagine a language model reading the web live, like a very fast person with a browser. Mostly it does not. It answers from two things: what it absorbed during training, and structured records it can look up when it needs a fact it does not hold.
That distinction decides everything. Training data is a snapshot of a broad slice of the public web, weighted heavily towards material that was repeated, referenced and syndicated. Lookup data is narrower and more precise: entity databases, encyclopedic records, publisher catalogues. Both reward the same thing, which is being a subject that many independent sources describe consistently.
Neither rewards volume of self-published content, which is the mistake almost everybody makes. Writing more about yourself, on your own channels, adds to the pile of things you have said. It adds nothing to the pile of things others have independently confirmed, and the second pile is the one being weighed.
This is the single most expensive misunderstanding in the field, and it is why people with genuinely good search performance are baffled to find assistants have never heard of them.
None of them are purchasable shortcuts, which is exactly why they work. If a shortcut existed, everybody would have taken it and the signal would be worthless.
There is no advertising slot inside an assistant's reply, no submission form, and no partner programme that gets you named. Anyone offering to place you in AI answers is either describing ordinary content work in exciting language, or lying.
What is true is duller and more durable. Models name entities they can resolve. Making yourself resolvable is achievable, measurable in a rough way, and takes months rather than weeks. It also happens to be the same work that produces a Knowledge Panel, which means one effort buys two outcomes.
The other honest thing: if the public web genuinely holds nothing independent about you, no amount of this work will conjure it. The starting point in that case is not optimisation. It is going and earning two or three real, citable things first, which costs nothing but time and is advice we give away rather than invoice for.
Treating "AI" as a single thing leads to bad decisions. They differ in where they get facts, which changes what actually moves each one. This is the practical version, without the vendor marketing.
| Behaviour | What it leans on | What that means for you |
|---|---|---|
| Answers from memory | Patterns absorbed during training, weighted towards material that was widely repeated, syndicated and referenced. | Rewards having been written about in places that get quoted onward. A single mention in an obscure place effectively does not exist. |
| Answers from a live search | Whatever the connected search index returns at that moment, summarised. | Closest to ordinary search performance, and the one place recent publishing helps quickly. |
| Answers from structured records | Entity databases, encyclopedic sources, publisher catalogues, identifier registries. | Rewards being a resolved entity above everything else. This is the layer most people have never touched. |
| Declines to answer | Insufficient confidence that the subject is a real, identifiable person. | The most common outcome for professionals, and it looks identical to being judged unimportant. |
| Answers wrongly | Blending several people who share a name into one plausible-sounding profile. | Worse than silence, and almost always a namesake or fragmentation problem rather than invention. |
There is no dashboard for this and anyone selling you a precise score is inventing it. What does work is a fixed set of questions asked repeatedly, in a fresh session each time, with the answers written down. Change over months is the signal. Any single answer is noise.
How to record it. One row per question, one column per month, one column per assistant. Mark each answer as absent, wrong, thin or good. Four months of that tells you more than any tool, and it costs nothing but twenty minutes a month.
All common, all made in good faith by intelligent people following advice that sounds reasonable.
Written to be useful whether or not you ever hire anyone.
The check is free, takes about a minute, needs no sign up and stores nothing. It reads the four structured records that assistants and search engines actually draw on, and tells you plainly what it means, including when the honest answer is that there is nothing there yet.
Run the free check →