Make your business clear to AI.

What you get

• Content / AI readiness How clear your copy is for assistants — quotable facts, FAQs, and answers they can use with confidence.
• Technical crawlability How machines reach and read your site — crawlers, structured data, extractable facts, sitemaps, and HTML vs hidden content.
• Platform lenses What ChatGPT, Gemini, Copilot, Grok, and Claude tend to need from a local business site when they ground answers.
• A GeoYourself draft path A clearer public facts page when your live site still leaves gaps assistants can’t fill reliably.

Ideas people often miss

Themes behind most “AI can’t find us” problems — plus a few terms that show up in the report.

• Grounding Assistants answer from what they can read on the public web. If phone, hours, or place aren’t extractable, they invent, skip, or lean on someone else’s page.
• Entity clarity Name, location, phone, and hours need to tell one consistent story. Mixed signals across pages make it hard to know which business is “you.”
• Crawlable HTML What matters is what arrives in the page source. Facts only in PDFs, images, or client-side shells are easy for people to see — and easy for simple crawlers to miss.

Words you’ll see in the report

NAP

Name, Address, Phone — the core identity line assistants use to recognize a local business.

JSON-LD

Structured data in the page that labels your business for machines (often as LocalBusiness).

SSR

Server-side rendering — facts present in the first HTML response, not only after JavaScript runs.

FAQ

Plain-text questions and answers assistants can quote — not only accordion widgets or chalkboard photos.

What success looks like

After you fix gaps on your site, a re-audit can show whether content and technical scores moved.