Be the business the engine names first.

The engine names a business. That business gets the call. We measure what eight engines tell buyers about yours every month, fix the wrong answers, and go to work on the questions a competitor holds.

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API responses approximate but do not exactly match consumer app answers; we report these numbers as trend and share of voice comparisons, never as absolute truth.

accuracy diagnosis
Local and B2B Services view of the Nimbletoad AI visibility portal

A real diagnosis view. Confidential details blurred, the format is exactly what you get.

ChatGPTPerplexityClaudeGeminiGoogle AI OverviewsGoogle AI ModeCopilotGrok
Why local and B2B are different

Being one of the names
is the whole game

A buyer who asks an engine who to hire gets two or three names and calls one. There is no page two, so the whole game is being one of those names.

Identity swap
“They are a student transportation platform for school commutes.”

It is a real estate brokerage. A real finding from the measurement: a buyer asking which brokerage to use was told the business drives kids to school.

Brand shadow
“[Your company] is a full service firm offering [someone else's services].”

A similarly named company swallows your identity. Specialists lose exactly the specificity buyers were searching for.

Total invisibility
“Here are some options” <span>(your name never appears)</span>

Two businesses we measured scored zero percent on every buyer question, on every engine, while branded checks proved the engines knew them. Invisible is a measurable state.

Zero-click interception
“[Google's AI answers the question above your #1 ranking]”

You can rank and still lose the click. We measure where you rank but an AI answer takes the buyer, and how often you are named inside that answer.

The engines have already produced 48 wrong AI claims, including complete identity swaps. Every one got a documented fix plan, and the next measurement shows whether the engines stopped.

What buyers ask

The questions AI answers
about businesses like yours

“flat fee real estate broker in [city]”“best winery tasting room in [region]”“web design agency that knows [industry]”“[service] company near me that is actually good”“is [business name] legit”

Example question shapes, not client panels. Your panel is built from the way buyers in your category and your market actually ask, and you see every question.

The loop, for local and B2B

Measure. Diagnose. Fix. Prove.
Every month, on schedule.

1

Measure

Your buyer questions go to all eight engines every month, including Google AI Overviews and AI Mode. We score who gets named: you, or the business the engine prefers today.

2

Diagnose

Every wrong claim and every lost question gets a root cause and a fix plan aimed at the sources the engine actually cites.

3

Fix

Corrections and pages engineered for AI retrieval, grounded only in your Context Ledger of verified business facts, approved by you before anything ships.

4

Prove

The next measurement confirms what the engines stopped claiming and where you became visible, with AI referred visits from your analytics next to the map.

The full mechanism, including the battle map, receipts, and methodology, lives on the AI Visibility Engine page. Do the fixing yourself from our briefs, or have us write and ship it for you. We run your measurement before the demo, so the call opens on your own map.

The engine in 90 seconds

See one full month, start to finish.

The questions we put to the engines, the answers they gave back word for word, a wrong claim traced to the page that caused it, and the next measurement checking whether it stopped. Real product screens, not a mockup.

the AI Visibility Engine

Real product screens with confidential details blurred; the receipt scene uses a sample client.

Local and B2B questions

Asked by businesses like yours

Does AI really send customers to local businesses?

Yes, and unevenly. Across the businesses we measure, some dominate their buyer questions while two scored zero percent AI visibility on every question, on every engine, even though branded checks proved the engines knew they existed. Buyers are asking. The engines are answering. The only question is whose name comes back.

What does AI get wrong about businesses like ours?

Whole identities, not typos. One engine described a flat fee real estate brokerage as a student transportation platform. Smaller specialist companies also get conflated with bigger, similarly named ones, inheriting the wrong services, the wrong prices, and the wrong reviews. Every claim like that gets a documented fix plan.

We already do SEO. Is this the same thing?

It is the next layer. SEO earns you rankings on a results page a buyer still has to read. AI visibility determines whether the engine names you at all when it answers directly, and increasingly the buyer never sees the results page. The two reinforce each other: the pages we publish for AI retrieval are also strong search pages, and your search data feeds the outcome reporting.

How many times do you ask each question, and do you show when the answers disagreed?

Every engine gets every question multiple times each month, because AI answers are not stable the way a search result is. The same question an hour later can name a different set of businesses. Your battle map shows the count on any cell where the samples disagreed, so a result won three times out of three is never displayed as though it were the same as one won once. Across everything we measured last month, 8.6 percent of multi-sample cells came back differently from one ask to the next. We would rather show you that number than average it away.

Find out what AI tells your buyers

The audit shows where your business is invisible, who the engines recommend instead, and what they get factually wrong. Reviewed by a person before it reaches you.

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