AI Visibility Analysis for HVAC
ChatGPT is naming a competitor when they ask about your city
When a homeowner asks ChatGPT who to call for a furnace replacement in your city, something gets named. This measures whether it is you, across four engines, and tells you exactly which pages the engines are reading to decide.
- 150 to 300 prompts built from your real cities and services
- ChatGPT, Perplexity, Google AI Overviews and Gemini, all four
- The exact source URLs each engine cited, which is the actionable part
- 150-300 prompts built from the client's cities and services
- Run across ChatGPT
The prompt set
Every line is a deliverable, not a promise. If it is on this list it ships, and if it is not, it is outside the price.
150-300 prompts built from the client's cities and services
Run across ChatGPT
Perplexity, Google AI Overviews and Gemini
Share of voice against 8-12 named competitors
The exact source URLs each engine cited
The cited source URLs
Engines assemble local answers from third-party lists and directories, so the first job is measuring which prompts name you and which URLs they cite.
See what it costsFind out if AI is recommending you or your competitor
Four engines, hundreds of prompts, and the exact URLs they read.
Four engines measured
The clock starts when we have access, not when you pay.
We build your prompt set
Real questions a homeowner asks, per city and per service, not generic industry queries.
We run all four engines
Share of voice against 8 to 12 named competitors, scored per prompt.
You get the citation map
The URLs each engine used to answer. That list is the target list for everything you do next.
What you do with the findings
Every item below is part of the fixed price.
- Answer engine optimisation
- Work aimed at being named by ChatGPT, Perplexity, Gemini and AI Overviews, which assemble answers from third-party lists and structured data rather than ranking pages.
What it costs
One price, agreed before we start, written into the service agreement.
One price agreed before we start. The full scope is written into the service agreement, so nothing gets added to the invoice later.
- 150-300 prompts built from the client's cities and services
- Run across ChatGPT
- Share of voice against 8-12 named competitors
- The exact source URLs each engine cited
- Gap list feeding SKU 8
Before you ask
The questions contractors actually ask before buying this, answered straight, including the ones where the answer is no.
Is anyone actually finding contractors through ChatGPT yet?
Enough that it matters and not enough that your competitors have noticed. That gap is the entire reason to measure now rather than in two years.
Why does the list of cited URLs matter more than the score?
Because the score tells you that you are invisible and the URL list tells you where to go and fix it. Almost every local citation traces back to a roundup, a directory or a review site you can actually get on.
Is this a subscription?
No. One-time report. Ongoing monthly tracking exists, but it is part of a retainer, not a separate charge on this page.
Do the engines give the same answer twice?
Not exactly, which is why we run a large prompt set rather than a handful of queries and call it data. Share of voice across hundreds of prompts is stable even when individual answers vary.
What if the report says we are invisible?
That is the common result and it is useful. It comes with the ranked list of where to fix it, and everything on that list is a service you can buy here or do yourself.
Does ranking first in Google fix this?
Not on its own. The engines assemble answers from third-party lists and structured data as much as from rankings. That is why the fix is different work.
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