Multi-location AI visibility audit
Your brand is known. Is every location findable?
A brand mention doesn't tell you whether a buyer can find the right branch. We compare the locations, customer questions and public evidence that matter to your business, then agree which gaps deserve attention.
Free initial audit for accepted requests · Locations and depth agreed before work · No recommendation guarantees
Tell us your location count and priority cities in the last form field, “Anything else we should know?”.
One brand. Different local answers.
A shop in one city and its sister branch in another face different questions. A group-wide visibility score can hide a missing branch, an outdated service or a booking link that sends people to the wrong place. The useful question is which location fits this buyer, and whether the answer gets the details right.
The audit loop
Start with a defined group of locations.
We agree on the cities, languages, branches and buyer questions before comparing answers. ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews are potential review surfaces. The audit records the engines actually checked and the limits of the sample.
- ScopeChoose the branches and questions with the strongest business reason to investigate.
- ReadKeep the prompt, location context, engine, date and cited URLs beside each observation.
- CompareSeparate group mentions, correct branch mentions, factual errors and branches absent from the sampled answers.
- PrioritizeAssign the first fixes to head office, the local team or your website owner.
- RecheckAgree what to measure again. Daily monitoring and implementation belong to a separately agreed ongoing service.
Four checks per location
A repeatable review, with room for local differences.
Branch identity
The right name, address, phone number and location page, with a clear relationship to the group.
Buyer fit
The actual service, product, occasion or access requirement behind a local question.
Source evidence
Your location pages alongside the listings, reviews and editorial sources visible in the sampled answers.
Next action
A useful destination for the buyer, plus a named owner for each agreed correction.
What the findings look like
Enough detail for the right team to act.
A branch-by-branch comparison
We keep brand awareness separate from branch visibility. Your findings show which locations appeared for the selected questions, whether the details were right, and where the sample is too small to judge.
A map of mismatched facts
An old opening time, a service only available elsewhere or a link to the wrong branch needs a specific fix. We compare what the answer says with your confirmed location record and identify the pages worth reviewing.
A practical handover
Central teams receive shared website and data priorities. Local teams receive the branch facts to confirm. We distinguish observed errors from possible explanations, then agree on a sensible next check.
An illustrative comparison
Three different findings. Three different next steps.
| Observed answer | What it tells us | Next check |
|---|---|---|
| Names the group, no branch | Brand visibility only | Test a question tied to one city and service. |
| Names a branch, wrong opening time | A factual mismatch | Compare the answer's sources with confirmed hours. |
| No branch in the sampled answer | An absence in this sample | Review local fit and sources, then repeat the agreed question. |
Who owns the next step
Head office and local teams need the same facts.
Nominate one central contact and a local fact owner for the branches in scope. If you continue with Managed AI Search, we can coordinate approved work through Slack, Teams or WhatsApp. The free audit request doesn't enroll you in an ongoing program.
Slack
Teams
WhatsApp
What is included
Start with the free audit. Agree on deeper coverage separately.
Initial review
Marco reviews the company and request. Accepted requests receive a working session grounded in specific findings from an agreed location sample, with relevant answers, sources and first priorities.
Scope boundaries
A free request isn't a promise to check every branch or language. Full-estate analysis, recurring measurement, content changes and profile management need a separate scope.
Measurement
Record the location, prompt, engine and date. Compare like-for-like samples over time. Answer mentions, website visits and qualified inquiries remain separate measures.
Who this is for
Built for businesses with more than one local front door.
- Retail and service groups with distinct branches
- Hospitality groups comparing venues across cities
- Franchise teams coordinating central standards and local facts
For a single restaurant, start with the restaurant audit. For a broad brand or product review, use the general AI Search audit.
FAQ
Questions before you request an audit.
How does a multi-location audit differ from a general audit?+
Do you check every location?+
What should we send with the request?+
Can structured data guarantee an AI recommendation?+
Will this prove more visits or bookings?+
What happens after the audit?+
Method references
Our review distinguishes observable evidence from ranking claims. See Google's guidance on LocalBusiness structured data and AI features and your website.
Website platforms
Keep your website. Check the location detail.
Squarespace
Vercel
Webflow
Sanity
Shopify
HubSpot
Find the branch-level gap worth fixing.
Bring your main website, your priority markets and the local question you can't answer yet. We'll review the request and agree on a useful starting point.