Make the business machine-legible
01Entity-clear schema, explicit service and area statements, an llms.txt that says what the business is, and a crawl policy that lets the right systems read it. Understanding first; ranking is nobody's to promise.
AI systems do not rank your pages. They resolve your business from whatever they can read.
ChatGPT, Gemini, Claude and Google's AI Overviews answer questions about local businesses now. Whether they get yours right depends on structure, consistency and permission — and on refusing to fake the measurement.
How it works
Observe, do not invent
02Google exposes generative-AI appearance data through Search Console. We record it with its provenance, keep it separate from ordinary search data, and refuse to turn impressions into clicks, leads or a made-up 'AI score'.
Ask the systems directly
03What do ChatGPT, Claude and Gemini actually say when asked about the business? Where do they cite, where do they omit, where do they conflict with the record? Findings, with dates, not a dashboard of guesses.
Correct at the source
04Every gap or conflict traces back to a fact we can correct once — and the fix then flows out through your website, your Google Business Profile and your listings.
Before and after
The 7.5× shift
Before
In one year, consumer use of AI for local-business recommendations went from 6% to 45%.
After
A business whose facts are structured and consistent is one an assistant can describe correctly. One whose facts are scattered is one it will guess about.
The audit, on any URL
Before
A prospect wants to know what AI systems can read about them before a sales conversation.
After
The audit measures what the site publishes, whether structured data exists and whether AI crawlers are allowed in. A check we could not run is reported as unchecked, never as a pass.
Proof
AI Visibility Observatory
First-party Search Console observation of Google's generative-AI appearance, with a required surface discriminator and raw provenance keys. We would rather show no metric than relabel ordinary search data as AI visibility.
RUNNING LABRead the lab →The audit engine
Site crawling, measured findings, schema and crawl checks, shareable report, PDF. Real machinery, not a model inventing findings from a URL.
LIVERead the lab →How this fits with the rest
AI Visibility is the observation layer over Business Truth: what machines currently understand, cite, omit or conflict on — and what to correct in the record so they understand it next time.
AI Visibility · the platform
Tell us what is true about your business.
A few questions, in your own words — type them or talk. A person reads what you send and follows up. Nothing is published and nothing is sent on your behalf.