Sales reps selling to local businesses all do the same thing. Google "HVAC companies Nashville." Click through results one by one. Check the rating. Copy the name, phone number, and address into a spreadsheet. Move to the next metro. Repeat every week. SPOTIO's 2026 State of Field Sales Survey found that 33% of field sales teams still aren't using AI at all, and reps continue spending 70% of their time on non-selling activities. Almost half of that time is just finding someone to call.
What prospecting actually looks like when you sell to local businesses
If you're an SDR at a vertical SaaS company selling field service management, reputation management, or scheduling software, your target customers are HVAC contractors, plumbers, electricians, and similar local service businesses. Your territory might cover a dozen metros.
The typical workflow: open Google Maps, search for your target industry in a metro, scroll through results, and evaluate each business. You're looking at ratings, review counts, and sometimes reading individual reviews to gauge whether the business has problems your software could fix. Then you copy the promising ones into a spreadsheet with their contact info.
This takes hours. And you do it every week because new businesses appear, ratings change, and you need fresh prospects. 42% of reps say prospecting is the hardest part of their job. When you look at how the sausage gets made, it's not hard to see why.
Why Google ratings are an underused signal
Here's what most reps miss: Google ratings are one of the strongest indicators of whether a local business needs help.
A 2.9-star HVAC company with 85 reviews isn't just a bad business. Read the reviews. They're full of "missed my appointment," "never called back," "had to chase them for an invoice." Those are operational problems. If you sell software that fixes scheduling, dispatch, or customer communication, that business is practically raising their hand.
Below 4.0 stars, Google starts filtering businesses out of local search results. Only 3% of consumers will trust a business under 3 stars. These companies are losing customers in real time, and most of them know it. That changes your cold outreach from "hey, want to buy some software?" to "I noticed your customers are mentioning scheduling issues, and that's exactly what we fix."
Automating the prospect list
Instead of clicking through Google results by hand, you can set this up as a workflow that runs itself. On General Input, you tell Geni: "Every Monday, take my list of target metro areas, search for HVAC companies in each one, filter for businesses rated below 4.0 stars, and append new results to my Google Sheet. Deduplicate by Place ID so I never see the same business twice. Include name, address, rating, review count, phone number, and the date they were added."
Setup takes a few minutes. Costs a few pennies per search. Places data and Google Sheets are built into the platform, so there are no API keys to configure and no third-party accounts to manage. Every Monday you wake up to a fresh list of qualified prospects who are already signaling that they need what you sell.
Five workflows for sales reps prospecting local businesses
Beyond the core prospect finder, there are several workflows that build on this approach:
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Local Business Prospect Finder -- search for businesses in a specific industry and metro, filter by Google rating, and output a prospect list to Google Sheets with name, rating, review count, phone, and website.
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Weekly Multi-Metro Prospect Builder -- run the prospect search across multiple metros on a schedule, append new results to a master sheet, and deduplicate against businesses already found.
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Low-Rating Outreach Brief Generator -- for each low-rated prospect, pull recent review themes and generate a personalized outreach brief highlighting specific pain points their software solves.
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New Business Alert Monitor -- watch for newly listed businesses in target categories and metros, alert the rep in Slack with business details.
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Competitor Customer Review Tracker -- monitor reviews for mentions of competitor products, flag businesses expressing frustration, and add them to the prospect sheet.
The shift from cold prospecting to signal-based selling
The difference between cold-calling a list from a data vendor and reaching out to a business whose own customers are publicly describing the exact problem you solve is enormous. One is a numbers game. The other is pattern recognition at scale.
When the prospecting itself runs automatically, reps can spend their time on the part of the job that actually requires a human: reading the reviews, crafting a relevant message, and having the conversation.