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For home services

Homeowners ask AI who to call. Know when the answer is you.

NextNet AI tracks who gets recommended, by service line and territory, so you can see exactly where you’re winning and where a competitor is getting the call.

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The problem

Showing up in the answer is not the same as getting the call

A homeowner asks an AI assistant “who’s a reliable plumber near me.” Maybe your company appears as one name in a list of options. Maybe a competitor gets named as the clear pick, with your business as filler around it. Either way, the recommendation is what wins the job, and it happens before any traditional search you could have tracked.

Local SEO tools measure Google Business Profile rankings and review counts. None of that tells you whose name AI gives when the question is conversational and the intent is “I need someone this week.” For a regional operator running several service lines across several territories, that blind spot compounds fast.

One of the list

“A few options near you include your company, others in the area…”

Filler around the real recommendation.
The clear pick

“For a reliable plumber near you, call your company.”

The name that gets the job.

How it works

How home services businesses use it

01

Score by service and territory

Recommendations get tracked the way you actually run the business: HVAC, plumbing, and electrical each scored separately, in each territory you serve, not as one combined number.

02

See the competitor advantage

NextNet AI shows which companies get recommended instead, and whether review volume, content depth, or missing schema is driving the gap.

03

Fix what’s blocking the recommendation

Close structured data and service-page gaps territory by territory, instead of guessing at a single company-wide fix. You run the trucks; if you’d rather not run the fixes too, we can handle them for you.

04

Monitor as you expand

Your tracked questions run daily against each AI assistant, and every answer gets recorded, so when you add a territory, monitoring starts on day one rather than months after the trucks do.

Market Intel

Track the recommendation itself

Market Intel, built into NextNet AI, follows whose name comes back when homeowners in your territories ask for help across the major AI engines. You see your share of those recommendations next to the competitors taking the rest.

ChatGPT Gemini Perplexity Copilot Google AI Overviews

The outcome

Find the gap before it costs you a season

Before a slow quarter

You learn a competitor owns your busiest territory while there’s still time to respond, not after a slow quarter has already happened.

New markets, monitored day one

New markets launch with visibility monitored from day one instead of discovered as a problem after the trucks are already running.

A work order, not a meeting

Every gap arrives with a diagnosis attached: what’s driving it, where, and what to fix. So the response is a work order, not a meeting.