The engine names one business. Then the phone rings there.

Buyers ask AI for recommendations in every category, from flat fee real estate to wineries to specialist agencies. We measure what eight AI engines tell those buyers about your business every month, fix the answers that are wrong, and go to work on the questions a competitor holds.

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
The diagnosis view: every lost buyer question classified by severity, with the sources engines cited and a fix plan. Confidential details blurred.

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

Why local and B2B are different

Invisible businesses
never hear the phone not ring

A buyer who asks an engine “who should I hire” gets two or three names and calls one. There is no page two. There is no impression report. If the engine never says your name, the loss is silent and repeats with every buyer who asks.

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

It is a real estate brokerage. A real first month finding: 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” (your name never appears)

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.

We measured 18 businesses in our first month and found 27 wrong AI claims, including complete identity swaps. Every one got a documented fix plan, and the next measurement shows whether the engines stopped.

Lake Orta, Italy at dusk

Photographed by our founder, Drew Thomas Hendricks.

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 goodis [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 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.

Local and B2B questions

Asked by businesses like yours

Does AI really send customers to local businesses?

Yes, and unevenly. When we measured 18 businesses across the engines, some dominated 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. In our first measurement month an 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.

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.

Request Your AI Visibility Audit