Share of AI Voice is the percentage of times a contractor's business name appears in AI-generated answers when homeowners ask ChatGPT, Google AI, Perplexity, or Gemini for a local recommendation. A score of 30 means the business shows up in 30 percent of relevant AI answers for its service area and trade. This metric is replacing traditional ranking reports for trades businesses because it measures what actually happens when a homeowner types "best plumber near me" into ChatGPT and gets a written recommendation instead of a list of links.
Why Google Ranking Does Not Tell the Whole Story Anymore
A contractor can rank first on Google Maps and still score zero in Share of AI Voice. That is not a contradiction. It happens because AI models do not copy the Google Map pack. They build their own answers by combining information from multiple sources, and they decide which business names to include based on a different set of signals than Google's local algorithm uses.
A 2026 study by 5WPR surveyed 230,000 HVAC and plumbing contractors across the United States and found that 87 percent of independent contractors have effectively zero AI citation share in their own metro. The same study found that franchise networks under the Neighborly and Authority Brands umbrellas, which represent fewer than 5 percent of actual contractors, appear in 25 to 30 percent of "service near me" AI prompts. The franchise brands win not because they have better reviews but because they have cross-brand citation reinforcement and structured marketing content that AI models can parse and repeat with confidence.
A separate 2026 study by Foxxr tracked 50 home service businesses across 15 trades and found one contractor with 181 reviews and a 4.8-star Google rating that scored zero in Share of AI Voice. Reviews matter, but reviews alone do not get a business named in an AI answer.
What Share of AI Voice Actually Measures
The metric is straightforward in concept. Take a set of prompts a homeowner would realistically ask an AI model, run them against ChatGPT, Google AI Overviews, Perplexity, and Gemini, and count how many responses name your business. Divide that by the total number of responses, multiply by 100, and you have your Share of AI Voice score.
The complication is in the prompt set. A plumber in Bergen County, NJ should test prompts like "best plumber in Bergen County," "who fixes burst pipes in Hackensack," and "plumber near me open now." A roofer in the same area would test a completely different set. The prompts need to reflect what homeowners actually type, not what a marketing team guesses they might type.
FirstCall Visibility runs a 12-point AI visibility audit that includes Share of AI Voice scoring across four AI platforms. The audit tests 20 to 50 prompts per market depending on trade density and reports which businesses get named, how often, and what specific signals are driving each result.
What Drives a Higher Share of AI Voice Score
AI models look for consensus across multiple sources before they name a business in an answer. A single source, even a strong one, is not enough. The models want to see the same business confirmed in several places before they write it into a recommendation.
Five signals consistently drive higher Share of AI Voice scores for trades businesses:
- A complete and accurate Google Business Profile. The profile needs consistent NAP data (name, address, phone), a populated services list, working hours, and recent photos. AI models pull from Google Business Profile more than any other single source.
- Structured data on the business website. LocalBusiness schema markup tells the AI model exactly what the business does, where it is located, and what areas it serves. Without schema, the model has to guess from page text, and guessing produces lower confidence scores.
- Third-party mentions beyond the business website. Directory listings on Angi, Yelp, and trade-specific platforms. Local newspaper coverage. Chamber of commerce memberships. Each mention outside the business website is a confirmation signal.
- Review content that includes specific service details. A review that says "fixed my broken furnace in 20 minutes" tells the AI model more than one that says "great service." The model reads review text to understand what services a business actually performs.
- Consistent entity information across all sources. If the business name on Google Business Profile says "ABC Plumbing LLC" but Yelp says "ABC Plumbing and Heating," the AI model treats those as two separate entities. That splits the citation count and lowers the Share of AI Voice score.
For a deeper breakdown of how AI models weigh these signals versus traditional Google ranking factors, the AEO vs SEO comparison for trades businesses covers the differences in detail.
How to Start Measuring Share of AI Voice
The simplest way to start is to run your own prompts. Open ChatGPT, Google AI, Perplexity, and Gemini. Type "best [your trade] in [your city]" and see what comes back. Do that with 10 different phrasings over the course of a week. If your business name does not appear in any of them, your Share of AI Voice is effectively zero for those prompts.
That is a starting point, not a diagnosis. The next question is why. Is it because the AI model has never heard of the business? Is it because the business exists in the model's training data but the signals are too weak to surface in a recommendation? Is it because a competitor has stronger structured data and more third-party mentions?
The FirstCall 12-point AI visibility audit answers those questions. It tests prompts, identifies which signals are missing, and produces a prioritized action list for improving Share of AI Voice over 60 to 90 days.
How Long It Takes to See Movement
Contractors in single-trade towns with three or four competitors can see Share of AI Voice movement in 30 days. The signal pool is small enough that adding structured data and one or two directory listings can move the needle quickly.
Contractors in saturated metros like Bergen County, NJ or Brooklyn, NY need longer. Six months of sustained effort is realistic when 200 competitors are fighting for the same AI citations. The work is the same. The timeline is longer because the signal competition is denser.
The key point is that Share of AI Voice is measurable. A contractor who does not know their score is flying blind. A contractor who knows the score, knows what signals are missing, and works on those signals month over month will see the number move. That is the same logic that applied to Google ranking ten years ago, and it applies to AI visibility now.
FAQ
What is Share of AI Voice for contractors?
Share of AI Voice is the percentage of times a contractor's business name appears in AI-generated answers when homeowners ask ChatGPT, Google AI, Perplexity, or Gemini for local contractor recommendations. A score of 30 means the business shows up in 30 percent of relevant AI answers for its service area and trade.
How is Share of AI Voice different from Google ranking?
Google ranking measures where a business appears in traditional search results. Share of AI Voice measures whether a business gets named when an AI model writes its own answer instead of showing a list of links. A contractor can rank first on Google Maps and still score zero in Share of AI Voice if the AI model decides to recommend a different business by name.
Can a contractor with high Google reviews have a low Share of AI Voice?
Yes. A 2026 study of 50 home service businesses found one contractor with 181 reviews and a 4.8-star rating that scored zero in Share of AI Voice. Reviews tell the AI a business is well regarded, but the AI also weighs structured data, third-party mentions, and entity consistency before deciding which name to write into its answer.
What tools measure Share of AI Voice for local contractors?
FirstCall Visibility runs a 12-point AI visibility audit that includes Share of AI Voice scoring across ChatGPT, Google AI Overviews, Perplexity, and Gemini for a contractor's specific trade and service area. The audit tests 20 to 50 prompts per market and reports which businesses get named, how often, and what signals are driving the results.
How long does it take to improve Share of AI Voice?
Most contractors see movement within 60 to 90 days of consistent work on structured data, third-party mentions, and answer-first content. Markets with fewer competitors move faster. A contractor in a single-trade town with three competitors can see results in 30 days. A plumber in a saturated metro may need six months of sustained effort.
Run your free AI visibility audit at firstcallvisibility.com to get your Share of AI Voice score and a prioritized action plan.