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AI Brand Visibility Audit: what AI models say when customers ask about you

By Mike Schlottig, Founder, LEVERAGEAI LLC. Last updated .

Your customers are asking AI models who to hire, and the models are answering with specific names. You can read those answers. An AI Brand Visibility Audit asks the models the questions your customers actually ask, records every answer, and reports whether you were named first, named after a competitor, or not named at all.

The questions customers actually ask

Not brand searches. People who already know your name are not the problem. The questions that decide where work goes are the ones where no business is named yet, and the model picks.

LEVERAGEAI asks the same terms it measures on the map grid, phrased as questions, so the two scores are comparable. For Daley Organics that is 11 questions about soil, compost and fertilizer in and around Grants Pass, OR:

  1. Buy soil near me?
  2. Best place to buy organic soil in Grants Pass?
  3. Best place to buy organic soil in the Rogue Valley?
  4. Best place to buy organic soil in Southern Oregon?
  5. Best place to buy organic compost for growing vegetables in Grants Pass?
  6. Buy premium organic soil near Grants Pass?
  7. Buy premium organic fertilizer in Grants Pass?
  8. Best place to buy soil in Grants Pass?
  9. Best place to buy soil in the Rogue Valley?
  10. Best place to buy soil in Southern Oregon?
  11. Best place to buy compost for growing vegetables in Grants Pass?

Each model is told to name specific companies and websites where relevant, which is how a shopping assistant is configured in practice. An answer that names nobody is recorded as naming nobody; it is not retried until it cooperates.

What the models said, cell by cell

One cell per model and question, from the most recent completed weekly run. Teal means Daley Organics was the first business named. The faded cells mean it was named, but a competitor was named first. Grey means it was not named at all.

What four AI models answered: Daley Organics

Measured data

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Competitors are counted but never named on this page. The point of the measurement is your own position, and publishing a league table of local businesses by name is a different and less useful product.

The matrix as one number

A grid of cells shows you where you stand but is hard to track over time. Mention Above Replacement collapses it to one figure: how often the models name you, minus how often they name an average business in the same competitive set.

Mention Above Replacement: Daley Organics

Live data

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Comparing against an average competitor rather than counting mentions cancels two things that would otherwise dominate: how talkative each model is, and how many businesses exist in the market. The full definition is on the Mention Above Replacement page.

What actually moves the answer

Four things, in LEVERAGEAI's experience across the I-5 corridor. None of them are prompt tricks, and none of them work in a week.

Reviews, in volume and recency
Models read review text, not just the star rating, and they read what was written recently. A business with forty reviews from three years ago reads as a business that may have closed.
One set of facts everywhere
The same name, address, phone, hours and categories on your site, your Google Business Profile and every listing. A model that finds two versions of your hours quotes neither with confidence.
Category alignment
The primary category on the Google Business Profile does more work than any other single field. A soil yard listed as a landscaper competes in the wrong question.
Agent-readable surfaces
Specific, quotable facts a model can cite: price per yard, what each product is for, what you will and will not deliver. See AI Agent Visibility for the six files this means.

The last one is the precondition for the other three mattering. A model that cannot read your site has nothing to weigh your reviews against. That is the subject of AI Agent Visibility, and it is where an audit usually turns into work.

What the audit delivers

A written report and a private link to the results in your own Client Scoreboard, which updates as the measurements repeat.

  • The matrix above for your business and two competitors you name, across four models and your own question set.
  • Every recorded answer, verbatim and dated, so you can read what the models say rather than take our word for it.
  • Your Mention Above Replacement, by model and pooled, against the competitive set from your own map grid.
  • The gaps that explain the result, in priority order, separated into what we can fix and what only you can.

Audits do not run from a page load. Each one is four models answering a dozen questions, which costs real money per run, so it happens after you ask and the results arrive by email. Repeating it monthly is what turns a position into a direction.

Frequently asked questions

What is an AI brand visibility audit?

An AI brand visibility audit asks several AI models the questions your customers actually ask, records every answer, and reports which businesses each model names. LEVERAGEAI scores each answer as named first, named, or not named, and sums the result as Mention Above Replacement.

Which AI models does the audit cover?

Llama 4 Scout, Llama 3.1 8B, GPT-OSS 20B and Gemma 4 26B, run on Cloudflare Workers AI. A model that cannot be reached in a given run is marked unavailable rather than counted as a miss.

Why does being named first matter more than being named?

An assistant answering out loud or acting on a customer's behalf usually works down the list it produced. Being named third in a paragraph nobody finishes is closer to invisible than to visible, so the audit separates named first from named at all.

What moves an AI model's answer?

Four things in LEVERAGEAI's experience: review volume and recency, the same name, address and categories everywhere a model might check, precise category alignment on the Google Business Profile, and agent-readable pages that give the model specific facts to quote.

Does the audit run automatically on this page?

No. Model inference costs money per question, so no audit runs from a page load. The matrix on this page shows a recorded weekly run for Daley Organics in Grants Pass; your own audit runs after you request it.

How often should an AI brand visibility audit be repeated?

Monthly is enough for most local businesses, weekly where competitors are actively working on it. Models change, your reviews change, and competitors change, so a single snapshot shows position but not direction.

Request your AI Brand Visibility Audit

Tell us your business and two competitors you measure yourself against. LEVERAGEAI runs your questions through four AI models, records every answer, scores them against your local competitive set, and sends you the report with the gaps in priority order.

Prefer to talk? Call (541) 450-2082, or visit the office at 744 NW Bellevue Pl, Grants Pass.

About the author

Mike Schlottig, Founder, LEVERAGEAI LLC

Mike Schlottig founded LEVERAGEAI LLC in Grants Pass, Oregon. He builds local search analytics and Cloudflare-based lead systems for service businesses along the I-5 corridor, and created RAR Grid Lab, the instrument behind Rank Above Replacement.

Reach him at (541) 450-2082 or at the LEVERAGEAI office, 744 NW Bellevue Pl, Grants Pass, OR 97526. More at leverageai.network.