Local Service Ads and a Voice AI Agent That Answers Every Call
A service business with no Local Service Ads account and an office too small to keep up with follow-ups. We built LSA from zero and put a voice AI agent on the phones, so every inquiry got answered, day or night.
ad hours, with AI answering every call
from launch to the first appointment booked by the AI alone
of week-over-week lead growth after launch
The challenge
New business came mostly from referrals and organic inquiries. There was no LSA account, no automation, and a small team that missed follow-ups when it got busy. Families waited for callbacks, and some went elsewhere.
What we did
- Created and verified the LSA account, set service areas and coordinated verification
- Connected call tracking through the CRM so every call was recorded and attributed
- Built and trained a voice AI agent to answer common questions, qualify the caller and book a consultation
- Extended ad hours to 24/7 only once the agent was live, and added original photos
- Retrained the agent on real call data and tightened its scripts
The results
Both systems went live in late August 2025. Charged leads rose week over week for the first six weeks, and several turned into scheduled sessions. In mid-September the voice AI agent booked its first appointment with no person involved. Inquiries now arrive daily through automated intake instead of waiting for a callback.
What this means for a mold remediation company
This client is not a mold company, but the phone problem is the same. A homeowner who finds mold at 8 pm calls whoever answers. An agent that answers, asks your screening questions (owner or renter, how large, is water still coming in) and books the inspection, with a person behind it for anything unusual, is how we run the answer layer for mold companies.
About this case study. This client is a in-home tutoring business, not a mold remediation company. The work was done by Logic Inbound, part of the same company as Mold Inbound. Figures come from the original write-up: read the original case study.
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