What we can't promise, and why nobody else should either
Nobody controls what these systems say. Anyone guaranteeing you a place in an AI answer is either lying or doesn't understand how they work.
synthesis · May 21, 2026 · 3 min read
This is the article that costs us business, and we would rather publish it than have the conversation go badly in month three.
We cannot promise that an AI will name you. Not for any amount of money, not in any timeframe. Here is precisely why, in four parts, and each one is measurable.
One: they do not give the same answer twice. Ask the same model the same question twice and you often get a different list of companies. Across 2,961 attempts, researchers found under a one-in-a-hundred chance that two answers named the same brands. Even with the model told to be as predictable as it can be, between 1 and 3 answers in 10 still changed. There is no stable position to guarantee, because there is no stable position.
Two: nobody outside these companies controls the inputs. A model’s answer is assembled from sources it picks itself, weighted by workings none of us can see, and in the case of AI Overviews the whole thing changes roughly every two days. We can improve what it finds about you. We cannot decide what it does with it.
Three: the field has no demonstrated causal chain to revenue. A survey of 45 studies published between 2023 and 2026 concluded: “No reviewed technique shows a stable, longitudinal, cross-platform causal effect on organic discoverability or downstream behavior.” That is the state of the evidence. Anyone who puts in writing how much your revenue will grow from this work is drawing a line past the end of what anyone has measured.
Four: it is a race. A study checked by other researchers found that these techniques work less well the more competitors adopt them. Whatever advantage exists today gets thinner as your category wakes up. That is not a reason to skip it. It is the reason timing matters, and the reason to distrust anyone selling permanence.
So what can be promised?
That the work gets done. Every item on your list, delivered, documented and verifiable. If we can’t complete one, it comes off the invoice.
That you will be able to see it. The measurement switched on and the baseline set in the first week, so that six months from now there is a before to compare against.
That the obstacles on your side are removed. If a bot is blocked, it gets unblocked. If your pages can’t be quoted, they get rewritten so they can. If your profile is wrong, it gets fixed. Those are all things we control, and they are the entire scope of what any honest vendor in this market controls.
And that we’ll tell you when something didn’t work. Which, given the four points above, will sometimes happen.
There is also a legal dimension, and it is worth knowing because it explains a lot of what you’re being sold.
In the United States, if you state a result in numbers you must hold the evidence before you state it, and it has to be serious evidence, gathered on the people you are actually selling to. In 2025 the Federal Trade Commission acted against an AI company that advertised “98% accuracy” for precisely this reason: measured on its real customers, it was right a little over half the time.
Which means “guaranteed to appear in AI answers” is not merely optimistic. It is a number promised without evidence, about a system the seller does not control, in a market that regulator has been policing since September 2024. And offering a refund does not fix it: as far as the Commission is concerned, giving the money back does not entitle you to promise something you cannot show.
So when a competitor guarantees you a position, you are looking at one of two things: a company that hasn’t read the rules, or one that has and is betting nobody checks.
The version of this we hold ourselves to, in one line: we will tell you what we measured, what we changed, and what moved, including when nothing did.
If that isn’t worth paying for, don’t pay for it. We would genuinely rather you didn’t than have you expect something we can’t deliver.
This is part of the work we do here: AI Visibility Consultant
