AI that makes your restoration company the name in the 2am answer

ServiceHarness is an AI Chief Revenue Officer for restoration companies. Ten AI agents track whether Google and AI assistants surface you at the moment of loss and fix why not, draft a reply the minute a lead lands, chase every estimate and scope, ask for reviews when the house is dry, court the plumbers, agents and adjusters who refer losses, publish town and cost pages, and keep slow receivables moving. You approve every message before it sends.

Water jobs go to whoever appears at the moment of loss: the map pack, the AI answer, or the referral from the plumber and insurance agent already on the phone with the homeowner. Winning all three takes standing upkeep: fresh reviews, complete profiles, plain-language town pages, and partner relationships somebody actually maintains. ServiceHarness runs that upkeep weekly and drafts every message for your approval.

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 restoration companies that directories, town pages and review platforms document best. Our Rahway audit found the market's most-reviewed local, 4.9 stars across 680 reviews, absent from the answer while a franchise and a national plumbing brand were named. Matching that documentation for your towns is exactly what the GEO, Content and SEO agents produce, measured weekly against live answers.

On response time, workmanship and reviews, a good local usually wins already. The franchises' edge is documentation infrastructure: a page for every town, a profile on every directory, so search engines and AI assistants see them everywhere. That is finite, replicable work for YOUR towns, and the Content, SEO and GEO agents grind it out weekly while your crews are on losses.

It doesn't write estimates or touch claims. It keeps the insurance-adjacent funnel full: the Partnerships Agent courts the agents and adjusters who steer losses, the Follow-up Agent keeps every scope and supplement conversation from going quiet, and the Collections Agent nudges receivables politely as they age past 30 and 60 days. Every message is drafted for your approval first.

It includes one: contacts, losses and estimates live in it, but the point is the opposite of a CRM. It fills itself, and it knows WHEN to reach out: the scope going quiet, the adjuster worth a check-in, the invoice aging past 30 days, the dried-out customer ready to be asked for a review. A CRM records; ServiceHarness acts.

No. Every follow-up, review request, 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, follow-up and partner outreach, which drive most restoration calls anyway. When you're ready to fight the franchises' town-page machine, the Content and SEO agents build yours.

GEO, generative engine optimization, is making sure AI assistants name your company when a homeowner asks who to call about water, fire or mold. In a panic-purchase trade the AI answer is the funnel: there is no page two and no second bid. ServiceHarness asks the real loss-day questions weekly, records who wins, and closes your gaps town by town.

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.