Question 1

How does an AI pick one product to name in a buying answer?

Accepted Answer

When a shopper asks an AI what to buy, the assistant does not return a page of links. It names one product, or a short set, and it gives a reason — and that reason leans on material it could read: your pages, other people's pages, and older versions of both. The part a merchant can act on is the reason. A position in an answer tells you that something happened; the reason tells you what happened, and it points at the information it came from.

Question 2

Why can you not see whether AI answers mention your product?

Accepted Answer

Because each answer is generated for one shopper, inside one private session, and then it is gone. There is no public results page to consult, no referrer trail to read, and no log a merchant can open. So the honest unit of observation is not how often you are mentioned. It is one real buying question, asked the way a shopper asks it, and one real answer read closely: who got named, for what reason, from which source.

Question 3

What is generative engine optimization, and what does WaveWise do differently?

Accepted Answer

Generative engine optimization, or GEO, and its near-twin answer engine optimization, or AEO, are the names the industry settled on for one shift: shoppers now ask an assistant what to buy, and most of what the assistant says about your product is assembled from material you neither control nor ever see. WaveWise starts from that same shift and stops somewhere else. The unit of work here is not more published output. It is one real buying answer read closely, one stated reason it went elsewhere, one reversible change you approve and ship, and a separate check on whether anything was seen at all. Same problem the term points at, a different method, and a narrower statement about what any of it proves.

Question 4

What does it mean to observe a real AI buying decision?

Accepted Answer

It means taking one agreed buying question, meeting a real answer to it, and reading the whole of it: the product named, the reason given, the sources that reason leans on, and where they are stale, thin or wrong about you. It is closer to reading a referee's written decision than to watching a scoreboard.

Question 5

What makes a diagnosis honest, rather than another conclusion?

Accepted Answer

A diagnosis is honest when it can lose. It states one reason the answer leaned the way it did, the evidence for that reason, the evidence against it, and what would count as proof that it was wrong. Anything that cannot lose — a summary, a hunch, a generated list of suggestions — may still be useful, but it cannot be checked, and this loop only ships what can be checked.

Question 6

What counts as one controlled change to a product page?

Accepted Answer

One edit to information you already control — a claim on the product page, a spec table, a piece of explanatory content — written out in full before anything moves, approved by you, shipped by you, and undoable afterwards. Controlled describes your control, not ours. The proposal is ours to write; whether anything happens is yours to decide.

Question 7

Why change only one thing at a time?

Accepted Answer

Because afterwards you have to be able to read the result. Ship several edits at once and whatever happens next belongs to all of them and to none of them — the money is spent and the learning is gone. One change keeps the question answerable: this edit, that asset, that window. Even when the honest answer is that nothing can be attributed yet, you know what the answer is about.

Question 8

Why are shipped and seen two separate questions?

Accepted Answer

Because they come apart in practice, and they are answered from different evidence. Execution — did the approved action happen, in full, on the asset it named — is answered by looking at your page. Exposure — did the environment we care about have a chance to see it — is answered by observing that environment, and often the answer is unknown. A change can be live and unseen. Treating live as seen would quietly promote every shipped edit into an observed one, and the whole report would inherit that mistake.

Question 9

Is an inconclusive result bad news?

Accepted Answer

No — it is an answer, about attribution. It says the change was made, and the evidence needed to credit it or rule it out has not arrived: often because exposure could not be confirmed either way. It is deliberately not called a failure, because nothing failed: the mission completed, the verification stayed open, and the report says exactly that.

Question 10

What does a pilot ask of you?

Accepted Answer

Four things: agree the one buying question that matters, point us at the public material you control, approve or decline the one proposed change, and afterwards tell us what you saw. Everything else in the window — observing, diagnosing, writing the mission, verifying, grading — is ours to do and yours to read.

Question 11

What does the pilot application ask, and what happens to your answers?

Accepted Answer

Eight questions, and the whole list is readable on the application page before you answer anything. They establish the shape of a workable pilot: what you sell, where the public material lives, which buying question matters, and whether you can share what you saw afterwards. Handling is deliberately boring: a person reads the answers, nothing is decided about you automatically, your answers are sent only when you press submit, and you can ask us to delete an application — we confirm the request came from you first.

Frequently Asked Questions

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