AI that gets your locksmith business found, trusted and booked

ServiceHarness is an AI Chief Revenue Officer for locksmiths. Ten AI agents ask for reviews after every lockout and rekey, chase every open quote until it books, keep your license, address and photos consistent everywhere buyers verify, track whether ChatGPT and Google AI name you for lockout questions and fix why not, court the property managers who rekey all year, and keep commercial invoices current. You approve every message before it sends.

You cannot out-fake them, so out-document them. The FTC and locksmith associations have documented listing farms for years: interchangeable town-name brands with no verifiable storefront. Their weakness is everything they cannot fake: a license number, a real address with photos, years of reviews, consistent citations. The agents publish and maintain exactly those signals, and the GEO Agent checks weekly whether the answers reward them.

Plans start at $60/month (Starter), with Growth at $100/month and Scale at $200/month. Chat with your AI CRO is unlimited and free on every plan. No setup fee, no contract, and you can grade your business free before signing up.

The same coverage with people (part-time marketing coordinator, local SEO retainer, review service, content writer, follow-up help) runs $5,500–$10,500 a month at market rates. At the $60 entry plan that's $5,440–$10,440 kept monthly, about $65,000–$125,000 a year.

Assistants recommend the locksmiths that directories, review platforms and websites document best. Our Elizabeth audit found the market's most-reviewed locksmith, 4.9 stars across 2,837 reviews, absent from the answer entirely. Publishing your verifiable record, license, storefront, service area, reviews, everywhere assistants read is exactly what the GEO, Content and SEO agents produce, measured weekly against live answers.

Because assistants and search engines lean on whatever looks documented, and lead-gen operations manufacture documentation at scale: dozens of near-identical town-name sites per county, a pattern the FTC and locksmith associations have flagged for years. Thin sources get crowded with them. The countermeasure is a verifiable record so deep and consistent that skipping you looks like an error.

Standing accounts come from systematic outreach, not luck: every property manager, landlord and realtor in your towns needs locks changed at turnovers and closings. The Partnerships Agent finds them, drafts the introduction in your voice, and schedules the follow-through touches that make you the standing call. One account can out-produce a month of one-off lockouts.

It includes one: customers, jobs and quotes live in it, but the point is the opposite of a CRM. It fills itself, and it knows WHEN to reach out: the rekey quote going quiet, the customer due for a review ask, the commercial invoice aging past 30 days. A CRM records; ServiceHarness acts.

No. Every review request, quote follow-up, partner intro and payment reminder is drafted and queued for your approval before it goes anywhere. You can approve one tap at a time or let trusted message types flow, but the default is you see everything first.

No, and most contractors don't have one: only 20% of the 1,473 licensed contractors we analyzed do. The agents start with your Google Business Profile, reviews and quote follow-up. For a locksmith, though, a site that shows your license and storefront is the strongest anti-lookalike proof there is, and the Content and SEO agents build it page by page.

GEO, generative engine optimization, is making sure AI assistants name your locksmith business when somebody locked out asks who to trust. In this trade it is a trust war: the answer slots go to whoever the assistants' sources document, and lookalike listings compete hard for them. ServiceHarness asks the real questions weekly, records who wins, and closes your gaps.

From ServiceHarness's own analysis of 1,473 licensed home-service contractors in Union County, New Jersey (July 2026): every website graded, 26 live map packs measured, and AI assistants asked real buyer questions with every answer recorded. Aggregates only; the case study is anonymized.