How Does ChatGPT Recommend a Plumber, Electrician, or Contractor? (And How to Check If It Recommends You)

Hiring a plumber, an electrician, an HVAC company, or a general contractor is a specific kind of purchase: it's often urgent, it's usually high-ticket, and getting it wrong is expensive and sometimes dangerous — a bad electrical repair isn't just a bad experience, it's a fire risk. That combination of urgency and stakes shapes how customers search, and it shapes how AI systems answer. The instinct is to assume the moment that matters most is the emergency search — "plumber near me open now." The data on how AI Overviews actually trigger suggests that instinct is aimed at the wrong target.

Here's how ChatGPT and similar systems actually evaluate a home services business, where the real AEO opportunity sits, and how to check what's currently being said about yours.

The urgent query may be the wrong one to chase

Whitespark's research — 540 queries across 3 cities and 6 verticals — found that Google AI Overviews trigger for 68% of local searches overall, but that rate splits sharply by query type: informational and cost-comparison queries trigger an AI Overview 92-97% of the time, while transactional, location-anchored "near me" queries trigger one only 15% of the time.¹

Applied to home services, that means a query like "emergency plumber near me now" — the one that feels most aligned with how customers actually behave in a crisis — is statistically among the least likely to surface an AI-generated answer at all. Meanwhile, questions like "how much does it cost to replace a water heater" or "how do I know if I need an electrician or a handyman" sit squarely in the informational and comparison bucket that triggers an AI Overview nearly every time. This doesn't mean urgent search traffic doesn't matter — it clearly does, and it's often where the phone actually rings. It means the AI-answer surface area, specifically, is concentrated somewhere else: pre-purchase research content, not point-of-crisis location search.

Rating floors carry more weight in a high-stakes category

SOCi's 2026 Local Visibility Index found that AI platforms recommend businesses that cluster around specific star-rating floors: roughly 4.3★ on ChatGPT, 4.1★ on Perplexity, and 3.9★ on Gemini.² These floors apply across categories, but the reasoning behind them applies with particular force to home services. Choosing the wrong salon means a bad haircut that grows out. Choosing the wrong electrician can mean a fire hazard in the walls; the wrong plumber can mean a flooded basement; the wrong contractor can mean a five-figure renovation that has to be redone. The cost of a bad hire in this category is high enough that it's reasonable to expect AI systems — trained on and reflecting patterns in how people talk about these decisions — to lean on rating and review signal as a trust proxy more heavily here than in lower-stakes categories.

That makes review volume and rating maintenance a higher-leverage activity for home services businesses than it might be elsewhere. A borderline rating isn't just a marginal loss of business from customers reading reviews directly — it's plausibly a harder floor to clear for AI recommendation specifically.

Directory presence: the same gap, a different set of platforms

Yext's citation-sourcing analysis of 6.8 million citations found that ChatGPT draws roughly 49% of its local business citations from third-party directories rather than a business's own website.³ For home services, the directories that matter most are the category-specific ones — Yelp, Angi, HomeAdvisor, and similar platforms where homeowners specifically go to vet a contractor before hiring. An unclaimed or thin profile on these platforms is a common, fixable gap: a business can have a sharp website and a well-maintained Google Business Profile and still be largely invisible to ChatGPT if its Angi or Yelp listing hasn't been claimed, filled out, or kept current.

Vague credentials don't register — specific ones do

Princeton's GEO research found that content with specific, checkable detail earns roughly 40% more AI visibility than vague, generic phrasing.⁴ For home services, this gap tends to show up in exactly the copy meant to build trust:

"Licensed" and "insured" are words nearly every home services business already uses. What's usually missing is the specific credential — the license type, the number of years, the actual response-time commitment, the pricing structure — that turns a claim into a checkable fact. That specificity is what the GEO research suggests the model is actually weighing.

How to check what ChatGPT currently says about your business