The question we asked
We sent ChatGPT one prompt, exactly as a homeowner would type it:
“Who is the best HVAC contractor in Prescott Valley, AZ? List 3-5 specific businesses by name with a short description of each.”
This is how a growing share of buying decisions now start. Instead of scrolling through a page of Google results and ads, people ask an AI assistant a direct question and expect a direct answer. Bain’s 2025 research on generative AI adoption found that roughly 60% of users now turn to AI tools for research and recommendations they used to get from search engines. When someone in Prescott Valley needs a new air handler or an emergency repair on a 105-degree afternoon, the shortlist ChatGPT hands them may be the only list they ever see.
What ChatGPT said
ChatGPT opened with the usual caveat that “best” is subjective, then named five HVAC companies it considered reputable based on reviews and industry reputation.
The five it recommended were:
- Prescott Valley Heating and Cooling — praised for a customer-first approach and a full range of install, maintenance, and repair services.
- Moyer’s Heating & Air Conditioning — highlighted for decades of experience, emergency repairs, and professional service.
- PV Air Conditioning & Heating — noted for fast response times, competitive pricing, and transparent communication across residential and commercial work.
- Air Handlers of Arizona, Inc. — recognized for technical expertise and tailored heating and cooling solutions.
- ACME Heating & Cooling — a family-owned business known for personalized service and a strong local reputation.
It closed by advising the user to double-check recent ratings on Google, Yelp, and the Better Business Bureau.
Why these businesses got recommended
AI assistants do not “know” who the best contractor is. They assemble an answer from the sources they were trained on and, when web search is active, from what they can pull in real time. Princeton’s 2024 GEO study (KDD 2024) showed that the content and citation signals surrounding a business are what actually move it into or out of these answers.
Several signals likely pushed these five in:
- Authoritative directory profiles. Complete, consistent listings on Google Business Profile, Yelp, and the BBB — the exact platforms ChatGPT named at the end — give the model repeated, corroborating references to the same business name and location.
- Review density. Volume and recency of reviews create the “customer reviews and industry reputation” that ChatGPT explicitly cited as its basis.
- Consistent brand mentions. When a company name appears across multiple independent sources tied to “Prescott Valley” and “HVAC,” the model treats that name as strongly associated with the query.
- Descriptive content. Businesses whose websites and profiles clearly describe services, service areas, and specialties give the model concrete language to summarize.
What the recommended businesses have in common
Look at the five winners and a few patterns stand out:
- Geographic clarity. Three of the five carry the location or a local identifier right in the name — Prescott Valley Heating and Cooling, PV Air Conditioning & Heating, and Air Handlers of Arizona. That tight name-to-place association is a strong citation signal.
- Clear service scope. Each was summarized with specific services — installation, maintenance, repair, emergency work, residential and commercial. That only happens when the underlying sources spell those services out.
- A reputation trail. Every description leaned on reviews, experience, or “local reputation.” These companies have an accumulated, findable track record the model could draw on.
- A defined identity. Family-owned, decades of experience, commercial-and-residential — each has a distinct positioning the model could repeat back.
What’s missing from the HVAC contractors who weren’t recommended
Plenty of capable HVAC contractors operate in Prescott Valley. They were left out not because they do worse work, but because their signals are thinner.
The common gaps:
- Incomplete or inconsistent directory profiles. If your name, address, and service area don’t match across Google, Yelp, and the BBB, the model can’t confidently tie you to the query.
- Low review density. Few reviews, or reviews that haven’t been touched in a year, give the model little “reputation” evidence to cite.
- Thin, vague website content. Pages that don’t clearly state services, specialties, and service area leave nothing specific for an AI to summarize.
- No corroborating mentions. If your business name doesn’t appear across multiple independent sources connected to Prescott Valley HVAC, you’re effectively invisible to the model.
Princeton’s research quantifies how fixable this is. Adding relevant statistics to your content raised visibility in AI answers by 41%, and citing credible sources raised it by 115%. Those are content changes — not ad spend — and they are exactly the kind of signal the excluded contractors are missing.
What this means for your business
If you run an HVAC company in Prescott Valley and you’re not in that list, the takeaway is direct: the businesses that got named aren’t necessarily better at HVAC — they’re better documented. Start where the model looks. Claim and fully complete your Google Business Profile, Yelp, and BBB listings. Keep the business name, service area, and services identical everywhere. Ask satisfied customers for reviews consistently, not once a year. Then make your website content specific — list every service, name Prescott Valley and the surrounding towns, and back claims with concrete numbers and credible references. Those are the signals that decide who ends up on the AI shortlist.
Want to see your score?
You can find out how AI assistants currently see your business in a couple of minutes. Get a free AI visibility report at rankforward.ai/score — it shows which engines mention you, where the citation gaps are, and what to fix first.