What it costs

The same question, fourteen times the price.
The same answer.

We measured what it costs to ask an answer engine a buyer question properly, and published the figures. The measurement is cents. The expensive part is everything around it, and almost nobody prices that out loud.

The short answer

Three costs, and only one of them is the software.

In one sentence Measuring whether an answer engine names you costs cents, repairing the public record costs people, and the part most often priced as a subscription is the cheapest of the three — which is worth knowing before you are quoted a number with no working shown.

We publish our own measured figures below. They are the real amounts billed to our own account on 4 November 2026 for the Anthropic API with web search enabled, not estimates, and they are the only numbers on this page we can vouch for completely.

Our own numbers

The same question, five ways.

One buyer question — “which companies offer X, and what is each strongest at” — put to Claude with web search on, varying only the model and the search allowance. The verdict column is what the measurement was for: whether a particular company was named in the answer.

Cost of one buyer question with web search, measured 2026-11-04
ConfigurationCostSearchesInput tokensVerdict
Top tier, provider defaults $0.6170uncapped—not named
Top tier, low effort, 5 searches $0.1684219,858not named
Mid tier, low effort, 5 searches $0.3595584,356not named
Small tier, 5 searches $0.1034456,802not named
Small tier, 2 searches $0.0431216,908not named

Fourteen times the price, same answer to the same question on the same day. The expensive configuration was not a better measurement; it was measuring an experience no buyer is served.

The counterintuitive row

Searches cost more than models do.

Look again at the middle row. The mid-tier model is cheaper per token than the top tier and it cost more than twice as much, because it spent its entire search allowance and read four times as many tokens. Every search result is pulled into the input context and billed per token, so reading dominates the bill, not answering. The number of searches is the lever; the model is second.

This has a pleasant consequence. The cheap configuration is also the faithful one, because a person asking an engine a question gets a quick answer rather than a research run. If a vendor’s measurement costs twenty times ours, it is not more accurate — it is measuring a different thing.

Scaling it up

What a real panel costs a week.

A measurement worth reporting is a set of questions, repeated, across engines. Here is the arithmetic from the per-question figure above, with the caveats that matter.

Weekly engine spend for a measurement panel, at our measured per-question rate
PanelCalls a weekEngine spend
17 questions, 1 engine, 1 pass 17 $0.59 — measured, not estimated
50 questions, 2 engines, 3 repeats 300 roughly $10
100 questions, 4 engines, 3 repeats 1,200 roughly $40

Two honest caveats on the lower rows. They extrapolate one engine’s measured rate to four, and three of the four major engines do not publish token rates we have been able to verify, so those figures are arithmetic rather than measurement. And web search is often billed per search on top of tokens, in the region of ten to fourteen dollars per thousand searches, which the rows above include at our own rate but cannot for the engines we have not run.

The expensive part

The engine bill is not the cost.

Deciding what to ask

The question set is the measurement. Getting fifty to two hundred questions that a buyer would really type, in their words, takes a conversation with the people who take those calls. Budget a few hours of their time, once, and revisit it twice a year.

Agreeing what is true

Every claim that gets published has to be traced to something you approve. For a company with assets, registry entries and a decade of releases, this is the longest afternoon in the project and the one that determines whether anything else works.

Repairing records you do not own

Correcting a registry entry or a third-party database row is a form, a wait and sometimes a conversation. It is slow, it is unglamorous, and per hour spent it moves more than anything else on this list.

Leaving a fifth of it alone

The control group costs nothing to run and something real in discipline: you are declining to improve a fifth of your own questions so that the other four fifths mean something. Every vendor who skips it is saving that cost and charging you for the answer anyway.

How to read all this

What these numbers are not.

One provider, one day

Every figure above is the Anthropic API with web search, billed to us on 4 November 2026. Rates change, and a different engine will produce a different table.

Not a price list

These are costs, not what anyone charges. We publish them because the cost of measurement in this category is usually hidden inside a subscription, and knowing it is cents makes the rest of a quote easier to interrogate.

Verdicts, not a benchmark

We compared configurations on whether they reached the same named-or-absent answer, not on answer quality. A cheaper model writes a worse paragraph. It did not change whose name was in it.

Questions

Asked about cost.

How much does it cost to ask an AI engine one buyer question?

Between about two cents and two dollars for the same question, depending entirely on settings. In our own measurements on 4 November 2026, one buyer question put to Claude with web search on cost $0.6170 at the provider's default settings and $0.0431 with a small model and a two-search cap — and both returned the same verdict about which companies were named.

Is a cheaper model worse at measuring AI visibility?

Not for this. A measurement is asking what a buyer would be served, and a buyer is served a quick answer rather than a twenty-search research run. In our runs the cheap configuration returned the same named-or-absent verdict as the expensive one on every question we compared, so the expensive settings were measuring something nobody is shown.

What drives the cost of measuring AI visibility?

How many web searches the model is allowed, far more than which model it is. Every search result is read into the input context and billed per token, so reading dominates the bill. We measured one mid-tier model costing more than a more expensive one, because it spent its full search allowance and read four times as much.

Do we need to measure all four engines?

Cost scales linearly with engines, so start with two and add the others once the question set has settled. The caution is that three of the four major engines do not publish token rates we have been able to verify, so a four-engine budget is an estimate until you have run one call on each and measured it.

Related reading

The rest of it.