Most of the AI visibility research that circulates covers brands with meaningful domain authority — the kind of business with an in-house content team and keywords above 800 monthly searches. There’s a different problem at the other end of the spectrum: a local HVAC company, a regional appliance repair shop, a single-location law firm, a dental practice with six hundred reviews and no organic presence beyond its own name.
These businesses don’t need an AI visibility strategy built for a brand with a PR team. They need to know which signals matter in their segment, how the engines actually represent local businesses, and whether the things they’re already doing — Google Business Profile, local directory listings, review volume, structured data — have any effect on whether AI search names them.
This cluster is built around that question. The data behind it comes from the audit book we’re building from real SMB audits: one location, a service area, and a genuine question about why an AI engine sends buyers to someone else. Not vendor-aggregated data optimized for the enterprise end of the market.
The first piece examines Google Business Profile specifically — what role it actually plays in AI citation, based on audits where the GBP was absent, incomplete, or present and optimized. Browse below as pieces land.
In the meantime, the audit we ran on our own name is the fullest picture we can currently show of how AI engines see a business with no outbound PR, no brand mentions in major publications, and no domain authority to speak of — which describes most of our clients’ starting points.