01 / CRAWLABILITYCan AI systems read the site?
We check robots.txt, sitemap.xml, JavaScript dependence, important blocked pages, markdown/plain-text alternates, and whether key facts are visible without clicking around like a human.
The landing page stays civilian-readable. This page is where the machinery lives: how we check whether AI systems can discover, understand, trust, and route customers to a local service business.
01 / CRAWLABILITYWe check robots.txt, sitemap.xml, JavaScript dependence, important blocked pages, markdown/plain-text alternates, and whether key facts are visible without clicking around like a human.
02 / STRUCTURED FACTSWe review name, address, phone, hours, service area, locations, service categories, emergency rules, and quote/booking paths. Then we map gaps to LocalBusiness and Service schema where useful.
03 / TRUST GRAPHWe look for licenses, certifications, warranties, guarantees, ownership/team clarity, years in business, reviews/testimonials, before-and-after evidence, and as-of dates on claims.
04 / AI ANSWER TESTSWe simulate customer questions like “Who handles emergency furnace repair near Lakewood?” and check whether the site gives enough evidence for a confident, accurate answer.
05 / CUSTOMER ROUTINGWe test whether a customer should call, book online, request a quote, or avoid the business if it is not a fit. We flag vague forms, hidden phone numbers, and unclear after-hours rules.
06 / COMPETITOR DELTAWe compare against nearby competitors on the same intent. The goal is not generic SEO scoring; it is to identify why an AI assistant might choose someone else.
07 / MONITORINGWe can monitor key pages for schema drift, broken links, crawlability changes, hours/service-area changes, and competitor movement.
08 / PROOF ARTIFACTEach snapshot includes evidence URLs, missing or weak fields, a practical fix, expected business benefit, confidence level, and an as-of date.
The buyer should not need to know what JSON-LD, llms.txt, or crawlability means. They need to know whether AI can understand them when a customer is ready to call.
View sample snapshot