Plumbing is the trade where buyers trust their own judgment least — most people can't tell a $200 fix from a $2,000 one, and everyone has heard a horror story. That anxiety is exactly why plumbing questions flow to AI: the homeowner wants a neutral referee. In our July 2026 Los Angeles plumbing batch, the referee's verdict was consistently narrow — a typical answer named 2–3 plumbers out of the hundreds licensed in the metro, and over 90% of active companies were never named at all.
What plumbing questions do homeowners ask AI?
Emergencies lead — "burst pipe who do I call", "water heater leaking is it dangerous" — where the asker hires within hours. Cost questions follow: water heater replacement, repipe pricing, slab leak repair, sewer line work; big-ticket jobs where people compare before calling. And plumbing has the strongest diligence family of any trade: "how do I know a plumber isn't ripping me off", "is [company] legit", "fair price for a water heater install". The companies that answer that anxiety honestly get named as the trustworthy option.
Who does AI name for plumbing jobs?
The LA batch followed the study-wide pattern — own-site pages (27% of all citations), fresh reviews, consistent directory profiles — with a plumbing-specific tilt: trust evidence outweighed everything. The named companies had visible license numbers (engines can check California's CSLB registry), explicit pricing pages or honest ranges, and review responses that addressed complaints. An anonymous "call for a quote" site was effectively invisible in the answers, however good its Google rank.
What should a plumber publish to get cited?
- An emergency page with hours, response time, and coverage in plain quotable text — the page that wins the burst-pipe answer.
- A priced guide per big-ticket service: water heater replacement (tank vs tankless), repipe, sewer line — honest ranges plus what moves the price.
- A "how not to get ripped off" explainer that answers the trade's biggest anxiety question; the plumber who writes it gets named as the honest one.
- License number, insurance, and years in business in the footer, matching your state registry entry exactly.
- Review responses — engines read them as evidence of how you handle problems, and quoted them in our sample.
How does a plumber measure AI visibility?
The same way the study did: a fixed set of your market's plumbing questions, asked repeatedly on every engine, tracked as the share of answers that name you. One search is one draw from a distribution — and the distribution differs per engine, up to 3.5× in our data. Weekly per-engine tracking is what turns the playbook above from faith into a feedback loop: publish, watch the share move, fix the next losing question.
