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AI visibility, measured weekly

Your buyers ask AI which business to choose. Are you in the answer?

AI tools answer with three or four names. We find out if yours is one of them, who is named instead, and what to fix first.

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Illustrative data with fictional names. A buyer asks an AI tool for the best boutique hotel near the harbor. The answer recommends Rival A, cites Rival B and mentions Rival C. Your business is not in the answer. It was named in 2 of 5 AI tools this week.
Example with fictional businesses. Is yours in the answer?
Does AI name you?

On the questions buyers ask before they know your name.

Who does it pick instead?

The rivals in your place, and the sites that put them there.

Is it getting better?

A weekly number that shows what each fix changed.

The problem

The buyer you lose inside an AI chat never reaches your website

A guest, a planner or a client asks AI for a shortlist. The answer names a few businesses and stops. Everyone else is left out.

40 to 55%

a rival rising while you stand still

Across three runs, Rival One was mentioned in 40, 47 and 55 percent of answers. You held near 33 percent.

Example, illustrative data. See the example
2%

chance the change was noise

From one run to the next, 19 question-and-tool pairs gained, 6 lost and 95 held. Mentions rose from 31 to 42 percent.

Example, illustrative data. See the example
Unseen

in your analytics

A buyer who chooses a rival inside an AI chat never visits your site. The lost booking never shows up in your reports.

Illustrative data with fictional names. Answers naming Rival A and you, of 15 per question. Best harbor hotel for a weekend: Rival A 9, you 0. Rooftop bar downtown: 7 and 1. Quiet hotel for a work trip: 6 and 0. Family hotel near the aquarium: 8 and 2. Harbor wedding: 5 and 0.
Example: the questions a rival wins while you are left out. Names are fictional.
How it works

Three steps from "we have no idea" to a number you can move

You answer a few questions about your business and your buyers. The platform does the rest.

Step 1
We ask AI what your buyers ask

Real buyer questions, on the AI tools your plan covers, three times each, every week. Every answer is saved word for word.

Step 2
We read every answer

Mentioned, cited or recommended. Which rivals were named. Which websites the AI leaned on.

Step 3
You see what to fix, and whether it worked

A ranked action plan, then the same questions asked again each week so you see the change.

Without it

You hear from a guest that "ChatGPT sent us somewhere else" and have no way to check.

With it

You open the answer, read why the rival was chosen, and see the fix on your to-do list.

Illustrative questions for a fictional hotel. Five questions never name the business: one about the market, one about an offering, one for a customer type, one weighing a rival and one about how to choose. Those five set the score. A sixth question uses the business name and is reported beside the score.
Step one: your buyers' questions, in their words. Example.
Illustrative data. The question "Quiet hotel near the harbor with parking?" is asked three times on each of five AI tools. ChatGPT named the business twice: mentioned. Google AI Overviews named it once: not named. Gemini recommended it twice: recommended. Perplexity cited its website three times: cited. Google AI Mode named it once: not named. Two answers out of three decide each result.
Step two: each AI tool asked three times. Example.
What you get

A score, the answers behind it, and a to-do list

  • A visibility score for your business, re-measured each week on a fixed set of buyer questions.
  • Every AI answer saved, so any number on the page opens the answer that produced it.
  • The rivals AI named in your place, and how often.
  • An action plan ranked by effect, with who on your team can make each change.

See every page of the platform

Example, illustrative data: a line chart of twelve weekly runs of the Live Visibility Score for a fictional business, drawn against a dashed baseline. A change is logged at week 7, and a shaded band marks an example range of run-to-run variation.
Example with illustrative data. Each point is one weekly run.
Illustrative data with fictional names. Share of answers naming each business: Rival A 38 percent, you 31, Rival B 24, Rival C 17, Rival D 9. Rival A was named and you were not in 9 of 15 answers to "best harbor hotel for a weekend" and 7 of 15 to "hotel with a rooftop bar downtown".
Who AI names beside you, and where a rival wins. Example data.
Illustrative action plan for a fictional hotel, each step with its evidence. Add a family suites page, absent from 11 of 15 answers. Correct the pet policy on two booking listings, repeated by 5 AI tools. Publish one figure for the event space. Earn a place in a cited harbor roundup, cited in 27 answers. Reply to recent reviews. Mark up rooms and rates.
The to-do list, each step with its evidence. Example data.

Find out who AI recommends in your place.

Create your account and choose a plan. Your first measurement shows the answers AI gives your buyers.