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Case Studies

Proof of how the system performs.

Operators don't want a slide deck — they want to know what changes month-over-month, how calls are tracked, and what AI is saying about their company versus the competition. Here's what that looks like.

How we report

Monthly Recommendation Report on what AI says about you
Call attribution by source — which marketing made the phone ring
Map-pack and service-area visibility tracked over time
Branded AI mentions tracked across ChatGPT, Gemini, Perplexity, Google AI
What we measure

The four signals that prove the system is working.

Generic agency reports show traffic. Axis37 reports show whether AI tools are recommending you, whether the calls you're getting are tracked, and whether your authority is compounding month over month.

1

AI mention share

Across the prompts your buyers actually use to find operators, what percentage cite your company by name? How does that compare to local competitors?

2

Map-pack and service-area visibility

For the searches that turn into calls, where do you rank — and is that ranking improving month over month across the cities you serve?

3

Tracked outcomes by source

Which calls came from organic search, which from Google Business Profile, which from AI mentions, which from referrals — and which converted into booked work?

4

Authority signals

Reviews, citations, mentions, schema completeness — the trust signals AI tools weigh when deciding which operators to recommend.

Sample report

See exactly what a monthly report looks like.

The Recommendation Report shows what AI says about your company, where you're cited, where competitors are cited instead, and what the next move is. We share an anonymized sample so you can see the structure before you ever sign anything.

Request the sample report →

AI prompt coverage — which prompts cite you, which don't
Competitor comparison — who AI names instead
Map-pack and service-area movement month over month
Tracked call volume tied to source
The single highest-leverage move for the next month
Recent engagements

Public case studies build over time.

We're selective about who we work with and we're selective about what we publish. Detailed case studies are built with operator permission and meaningful timelines — not month-one screenshots. They'll be added here as engagements mature and operators sign off on what we share.

In the meantime, the sample Recommendation Report shows the structure of the work in detail, and the system page walks through every phase of an engagement.

Want to see what the report would look like for your company?

Start with a search checkup. We pull your AI footprint, local rankings, and tracking gaps — then walk you through what the monthly report would surface.

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