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?
Case Studies
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.
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.
Across the prompts your buyers actually use to find operators, what percentage cite your company by name? How does that compare to local competitors?
For the searches that turn into calls, where do you rank — and is that ranking improving month over month across the cities you serve?
Which calls came from organic search, which from Google Business Profile, which from AI mentions, which from referrals — and which converted into booked work?
Reviews, citations, mentions, schema completeness — the trust signals AI tools weigh when deciding which operators to recommend.
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.
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.
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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