Sample snapshot / fictionalized example
What an AI assistant can’t confidently understand.
This sample shows the one-page proof artifact we would send after auditing a real local service website. It uses a fictional HVAC company, but the evidence types and fixes are the actual Agent-Ready Local method.
Evidence found
SchemaNo obvious LocalBusiness or HVACBusiness structured data on sampled pages.missing
Service areaCity names appear in marketing copy, but no clean machine-readable service-area statement was found.weak
Action pathPhone number is visible, but quote/booking flow and emergency dispatch rules are not explicit.unclear
Trust proofReviews are referenced, but licenses, warranties, and source-backed claims are scattered.thin
Agent guideNo llms.txt, markdown summary, or agent-facing business profile was found.absent
Recommended fixes
Add an agent-readable business profile page.Plain facts: services, service area, emergency availability, phone, booking, payment/financing, warranties, and when the business is not a fit.
Implement LocalBusiness + Service schema.Make the facts extractable without relying on visual layout or JavaScript interpretation.
Clarify the quote and emergency path.Tell an assistant what it can safely recommend: call now, book online, request quote, or collect specific intake details first.
Create a lightweight monitoring loop.Monthly check for broken schema, changed hours, missing pages, competitor improvements, and degraded AI-answer performance.