The home service industry is a good market — if you pick the right accounts
Roofing, HVAC, plumbing, electrical, and similar trades are an unusually good fit for AI automation: high call volume, thin back offices, and owners who feel the pain of a missed call directly in lost revenue. The problem isn't the market — it's that most outreach treats every business in it identically.
Step 1: Narrow by trade and geography first
Start narrow. A roofing company in a hail-prone region behaves very differently from a plumber in a dense urban market — different call volume, different seasonality, different urgency. Pick one trade and one region before you build a list, not after.
Step 2: Filter on what you can see, then check the gaps
Start with what the listing tells you. Rating and review count are a good proxy for how busy a business is, and busy businesses miss more calls. Opening hours tell you who advertises 24/7 or emergency service. A business with no website at all is often the easiest automation sale there is.
Then check the gaps your product actually closes on the business's own site: no booking widget, no chat, phone-only intake, 24/7 claims with no after-hours coverage. It takes seconds per business once you've narrowed the list to the ones worth checking.
Step 3: Find a real contact, not a guess
A pitch to "info@" gets ignored. A pitch to the actual owner — found on their own About or Team page — gets read. Resist the temptation to guess an email from a name-and-domain pattern; it produces bounces, spam complaints, and, in some jurisdictions, compliance risk. If it's not published, don't invent it.
Step 4: Lead with the specific gap, not a generic pitch
"We build AI receptionists" is forgettable. "I noticed your site doesn't have online booking and you're advertising 24/7 emergency service — that's a specific gap" is not. The businesses worth prioritizing are the ones where you can name the exact problem in the first line.
Step 5: Track what you've already searched
If you're doing this across multiple trades and cities, you'll re-run similar searches constantly. Keeping a simple record of what you've already pulled — and with what filters — saves you from re-covering the same ground two weeks later.
Where loclay fits
loclay handles the slow parts of this process. Pick a business type and as many cities as you like, and each search runs live on Google Maps, so you're working from today's businesses, not an old export. AI then reads each business's own website for its decision maker and every published email, phone and social profile, each labelled with where it was found.
Filter the results by rating, review count, "No website" or "Direct email to the decision maker", export them as CSV, and every search is saved so you never re-cover the same ground. The gap-checking in Step 2 is still yours to do — that's the part where your judgement is what makes the pitch land.