AI search optimization for a carpet cleaning company
A growing share of carpet cleaning questions never reach a results page. Someone asks an assistant what three rooms should cost in their city, or whether cleaning actually removes cat urine, and gets a paragraph plus two or three company names. Those names come from pages the model can read: your site, your Google profile, review text and directory listings.
This trade is unusually easy to make citable because the questions are concrete and factual. What does it cost per room. How long until the carpet is dry. Do you move furniture. Is it safe for pets. Do you use hot water extraction or low moisture. Sites that answer those in plain sentences with real numbers get quoted. Sites that say "quality you can trust" do not.
The mistake is treating it as a keyword exercise. Models lift short factual statements, so the work is structural: a pricing page with ranges, a dry-time answer in hours, a process page that names your method, a service area page that lists towns.
By day fourteen you will have a recorded baseline of how often you are named today, plus the pages that make you nameable.