Not an AI receptionist. Not a chatbot. Not another lead list.
Agentic AI for local service companies
LocalLead deploys one full agentic AI operator for local service companies. It scrapes your market, cold-calls and cold-emails decision makers, handles the objections, follows up until somebody answers, and books the job on your calendar.
Not an AI receptionist. Not a chatbot. Not another lead list.
The real bottleneck
Every AI tool sold to local businesses answers inbound calls you were already getting. That is a nice-to-have. The revenue you are missing is in the conversations nobody ever started.
Your market has more work in it than your crew can reach. What you are short of is somebody whose entire job is to go out and start conversations.
The average local quote gets one follow-up, maybe two. The job goes to whoever called a fourth time — and that is never the busiest company in town.
Past customers, dead quotes and web forms that never got a callback sit in a spreadsheet while you pay for cold leads you do not need.
One setter costs more than a technician, quits within a year, and takes the list with them. The work is real; the headcount is not the answer.
What the agent does
Not a menu of disconnected features. Six stages that feed each other, running every working hour, whether or not anybody calls you.
The agent sweeps public records, permits, registrations and demand signals inside your service radius, then scores every record on how likely it is to become a job you actually want.
Dozens of live calls at once, plus authenticated email sequences written around the specific trigger that flagged each prospect. Gatekeepers navigated, voicemails left, follow-ups scheduled.
Job type, address, timeframe, budget band and whether the person on the line can actually approve the work. Unqualified records are dropped, not passed to you.
Price, timing, "I've got a guy", "send me something" — each handled with a tested response built from your actual close history, inside the limits you set.
Warm transfers during your hours, booked callbacks outside them, deposit and signature links sent the moment somebody commits. The job lands as an appointment, not a notification.
Every call, email, reply and outcome logged automatically, with a Monday report that separates activity from revenue and names what to change next week.
Capabilities
Each of these is a job you would otherwise hire for, delegate to somebody who is already busy, or simply never get to.
Positioning
An AI receptionist recovers calls you were already getting. This agent creates conversations that were never going to happen. Both are useful. Only one of them grows revenue.
| Dimension | AI receptionist | LocalLead agent |
|---|---|---|
| When it works | Only when the phone rings | Every working hour, whether or not anyone calls |
| Who starts the conversation | The customer | The agent — it dials, emails and follows up first |
| What it produces | A message taken and passed on | A qualified, booked job on your calendar |
| Where leads come from | Whoever already found you | A list it built itself from your actual market |
| Deal involvement | None — it hands off at hello | Quote follow-up, objection handling and close-out |
| Revenue impact | Recovers calls you were already getting | Creates conversations that were never going to happen |
| Reporting | A call log | Attributed revenue by list, sequence and script |
Industries
The agent is configured per trade: job economics, buying triggers, the decision maker, the season and the objections your customers actually raise.
Markets
Demand in a metro is not uniform. The agent is configured street by street — the housing era, the trade mix, the local lead sources and the season that actually matters in that neighbourhood.
Expected outcomes
These are modeled projections based on the agent's configured throughput and your trade's average ticket — not client results and not a guarantee. Every engagement is scoped to your market, and we will tell you before you buy if the maths does not work for your trade.
1,000+
Qualified local records built per month
Mid-size metro, single trade, 30-mile radius
200–500
Outbound dials per working day
Concurrent calling, timezone-aware windows
15–22%
Live conversation rate
Local business lists with tuned opening lines
8–27
Booked appointments per month
After the first full tuning cycle
4–7
Follow-up touches before a lead is retired
Behaviour-timed ladder, channel rotation
5–12×
Modelled return on monthly cost
Modelled won revenue against the monthly fee
Use cases
How the build works
The build fee buys a real setup, not a login. Here is exactly what happens between the first call and the first booked job.
We map your trade, service radius, price floor, transfer number and the promises the agent may make. You leave with a written scope, not a proposal deck.
Your market is scraped, scored and de-duplicated against your existing customers. You review the first list before anything is dialed.
Call script, email sequence, objection responses and CRM stages are written and approved by you line by line. Nothing goes live unapproved.
Calling windows, do-not-call scrubbing, recording consent, domain authentication and suppression lists are configured and verified.
The agent starts dialing and emailing. The first week is deliberately conservative while deliverability and call outcomes are measured.
Scripts, targeting and timing are adjusted against real conversion data. This is where the numbers usually move most.
Monthly operation with a weekly attributed-revenue report, live transfers when prospects say yes, and script changes proposed from your own data.
Objections
Straight answers to the questions that come up on almost every call. If yours is not here, ask us directly.
Keep it. A receptionist answers inbound calls you were already getting. This agent goes out and creates conversations that were never going to happen — cold lists, dead quotes, lapsed customers, storm swaths. They solve different problems and they do not overlap.
Most lead products sell you a shared, aged list and leave you to work it. This is the opposite: the list is built for you from public records, and the same system that builds it also calls it, emails it, follows up and books it. If the list were the whole product, it would fail the same way.
It sounds like a competent assistant. You approve the voice, the opening line and the disclosure wording, and most clients choose to have it say it is an AI assistant calling on behalf of the company. It never invents answers about your pricing, licensing or availability.
It is limited to a list of approved service facts and promises you sign off on. It cannot quote outside your price floor, cannot commit to inspection timelines, and escalates to you the moment a conversation goes outside its rules. Every transcript is reviewable.
Then the cold call is not the sale — it is the appointment. The agent qualifies, confirms the decision maker and books the visit. Your closer does what they are good at, with a better-prepared prospect in front of them.
That is the point of the build fee. We configure the lists, scripts, sequences and CRM wiring, and you approve them. After that your involvement is one weekly report and a live transfer when somebody says yes.
FAQ
The five questions that decide most deals. Everything else is on the FAQ page.
Twenty minutes on the phone. We map your service radius, your trade and your price floor, and tell you honestly whether the maths works — before you spend anything.
(512) 555-0142 · Mon–Fri, 7:00am–7:00pm CT
