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When someone asks ChatGPT, Siri, or Google's Gemini "where should I get my brakes fixed near here" or "best Italian place downtown," the AI isn't driving around town looking. It's stitching together everything it can verify about nearby businesses — and if it can't verify yours, it just recommends someone else. Quietly. No error message, no lost-sale alert. The customer just never sees your name.
That's the whole idea behind "AI readiness," and it's fair to ask what we're actually measuring when we hand you a score. So here's exactly that — no black box, nothing hand-wavy.
This is the single most-weighted thing we check. A Google listing that exists but nobody has claimed looks abandoned to any system reading it — and AI assistants lean on that signal before they'll vouch for a business.
We visit it — not "does a domain exist somewhere," but does a real request to your actual URL come back with a real page, right now.
The one most owners have never heard of, and it matters more than it should. Most sites are built for human eyes. A machine reading the raw code often can't find your hours or phone number unless the page also includes structured data (technically "JSON-LD," based on a shared standard called schema.org) — a translation of your business card into a format AI can parse instantly instead of guessing from paragraphs of marketing copy.
AI uses review volume as a trust signal the same way a person would.
This is the most direct check we run, and it counts for the most: we send a live query to an AI model with your business name and exact location and ask whether it would actually recommend this specific business — not "does something with this name exist," the specific business at the specific address. It's the one signal that measures the actual thing you're trying to buy: getting named, not just getting indexed.
Name, address, phone — we compare what you've told us against what your own site's structured data says, with more sources being added as we verify them. We'd rather tell you we haven't checked something yet than pretend we did.
Each check carries a different weight — the AI-probe check counts for more than anything else, because it's the most direct measure of what you actually care about.
Here's the part we think matters most, though: if we couldn't verify something, it doesn't count against you. A lot of tools score every unmeasured thing as a failure — it's an easy way to make a number look dramatic, and it's dishonest. If we couldn't check a signal, it's left out of the math entirely, not treated as a strike. Unknown isn't the same as bad.
A paying account gets checked every week. A free report is the same live check, run on demand, good for about nine months before it's worth re-running.
The scoring math itself never changes between a free report and a paid one — we're not rigging the free number lower to make the pitch look better. What changes is your data: a subscription actively fixes what it can — claiming your listing, generating structured data, straightening out inconsistent business details across directories — so your score goes up because the underlying problems get fixed, not because we're grading you on a curve.