Why ChatGPT Isn't Recommending Your HVAC/Plumbing Business (6-Step Audit)

If ChatGPT, Google AI Overviews, Perplexity, or DeepSeek don't list your HVAC or plumbing business when homeowners ask for service in your area, the cause is almost always one of 6 specific gaps in how AI training data and retrieval see you — and every one of them is fixable.

Whitespark's Q2 2025 Houston plumber audit (n=540 queries across three cities) found 60% of AI Overview citations on hybrid-intent contractor queries pointed to third-party publishers — Indeed, Reddit, Quora, ZipRecruiter, HomeGuide, Thumbtack, and Yelp. The directory layer matters more in home services than in almost any other vertical.

This audit assumes you are licensed, insured, and have at least a year of operating history. Pre-revenue startups have a different playbook. Everything below is what stops an established home-services company from showing up in AI answers.

1. How AI assistants actually pick the home-services contractor they recommend

The retrieval-reranking-citation pipeline for home services is dominated by directory aggregators and a small number of national chains.

• Retrieval. ChatGPT pulls from Yelp, Angi, HomeAdvisor, Thumbtack, and Nextdoor as the primary directory layer. Manufacturer-installer directories (Carrier Factory Authorized Dealer, Lennox Premier Dealer, Trane Comfort Specialist, Bryant Factory Authorized Dealer for HVAC; Bradford White, Rheem, A.O. Smith for plumbing) sit alongside as a parallel candidate pool. Google Business Profile feeds AI Overviews specifically.
• Reranking. Signals are review volume and recency, license verification, manufacturer accreditation, after-hours availability, and entity-strength density of brand-installation mentions. Trade-press citations (ACHR News for HVAC, PHC News for plumbing, Contractor Magazine, ServiceTitan blog) shift weight at the edges.
• Citation. The two or three contractors that survive reranking are stitched into the answer with a sentence built from directory metadata: [Company], a Carrier Factory Authorized Dealer in [city] with 4.7 stars across 220 Angi reviews, offers 24/7 emergency service. That sentence is not from your homepage. It is reconstructed.

Two structural realities to accept upfront. National chains (One Hour Heating, ARS Rescue Rooter, Roto-Rooter, Mr. Rooter) have enormous entity graphs and will dominate broad queries forever. You cannot fight that head-on. Your leverage is in geo-narrow and brand-narrow corners.

The second reality: review volume at scale matters less than directory completeness plus manufacturer accreditation plus a thin layer of trade-press citation. A company with 80 Angi reviews plus Carrier Factory Authorized plus one ACHR News mention out-cites a company with 350 Yelp reviews and nothing else.

2. The 6-step diagnostic

Step 1 — You are missing or thin on Yelp, Angi, and HomeAdvisor

Symptom. ChatGPT names three contractors in your area for HVAC repair [city] and yours is not one of them.

Likely cause. ChatGPT's retrieval pass for home services pulls from the three big aggregators before anything else. If you are absent or have under 30 reviews on each, you are below the candidate threshold.

How to verify. Search your company on yelp.com, angi.com, homeadvisor.com directly. Count reviews. Confirm 100 percent profile completion (services list, hours, financing, licensing).

Fix. Claim and complete all three within a week. Push 30 procedure-tagged reviews on each over the next 90 days. Use a structured request: which service, which technician, what was the outcome. Generic five-star reviews without procedure tags are unquotable.

Step 2 — No after-hours signal across surfaces

Symptom. Homeowners ask emergency plumber [city] at 11 pm and your competitors get the answer.

Likely cause. After-hours availability is a hard filter for emergency queries. If your GBP does not have the 24/7 attribute, your homepage does not say 24/7 emergency service, and your Yelp/Angi profiles do not mirror it, you are filtered out before the ranking step.

How to verify. Open your GBP. Confirm 24-hour attribute. Open your homepage. Confirm a persistent badge or banner with the literal phrase 24/7 emergency service. Open Yelp, Angi, HomeAdvisor — same phrase, same prominence.

Fix. Two-hour pass. Update GBP attribute. Add a persistent banner to the homepage. Mirror the phrase across all three aggregators. The LLM extracts the consistent multi-surface signal.

Step 3 — No manufacturer-brand-installer page

Symptom. Homeowners ask Carrier installer near me or Trane dealer [city] and you are not in the answer despite carrying the brand.

Likely cause. Generic HVAC services or AC replacement pages do not match brand-narrow queries. The LLM needs a page where the brand appears in the title, the H1, the schema, and three to five paragraphs of body copy.

How to verify. Search your domain plus the manufacturer name on Google. If you do not have a dedicated page (e.g., /carrier-installation, /lennox-dealer, /trane-comfort-specialist), the gap is real.

Fix. One page per major brand line you install. Title pattern: [Brand] [Product Line] Installation in [Service Area]. Body covers warranty terms, rebate eligibility, model lineup, financing, and a customer outcome. If you carry Carrier Factory Authorized Dealer status, name it explicitly with a logo and a link to Carrier's dealer locator. The dealer-locator link is a citation hook.

Step 4 — No LocalBusiness plus HomeAndConstructionBusiness schema

Symptom. Google AI Overviews shows you intermittently.

Likely cause. Without @type: "HVACBusiness" or @type: "Plumber" (both inherit from LocalBusiness and HomeAndConstructionBusiness), crawlers infer your services from prose. AI Overviews demotes unmarked pages.

How to verify. Run your homepage through Google's Rich Results Test. Confirm LocalBusiness plus the relevant subtype, plus availableService (one entry per service with offers and price range), hoursAvailable, hasCredential (license), areaServed.

Fix. Two-hour developer task. Add JSON-LD with the right subtype, populate availableService with named services (AC repair, AC installation, furnace repair, furnace installation, water heater replacement, drain cleaning, leak detection, sewer line repair). Add hasCredential for state license. Add areaServed with named cities or zip codes.

Step 5 — No trade-press or local-news citation

Symptom. Smaller competitors with weaker review counts appear in AI answers and you do not.

Likely cause. Trade-press mentions add entity strength that no review count can replicate. ACHR News, PHC News, RoofingContractor, EC&M, Contractor Magazine, ServiceTitan blog — each sits in the LLM training corpus with high editorial trust.

How to verify. Search your company name plus each domain. Zero hits means zero training-data corroboration.

Fix. One trade-press contribution per quarter. ACHR News and Contractor Magazine accept owner-perspective columns at a low editorial bar. ServiceTitan blog accepts case studies if you use the platform. Pair with one local news mention per quarter (Chamber of Commerce profile, local business journal feature, community service segment) for a balanced citation portfolio.

Step 6 — Google Business Profile is incomplete

Symptom. A national chain dominates AI Overviews for your zip and you cannot dislodge them.

Likely cause. GBP gaps. Wrong primary category, missing service catalog, missing service area, fewer than 30 photos, no GBP posts in 90 days, no Q&A activity, no financing attribute.

Fix. Four-hour pass. Primary category is the most specific applicable (HVAC contractor or Plumber, not Contractor). Add 30 photos: trucks, technicians in branded shirts, before/after install shots, equipment, branded uniforms. Populate the service catalog with named services and price ranges. Add the service area as a 25-mile radius or a list of named cities. Seed five Q&A items. Post weekly for 12 weeks. AI Overviews indexes meaningful GBP changes within 14 days.

3. Tools to actually verify

Rank	Tool	Best for	Aggregator tracking	Pricing	Notes
1	Profound	Fortune 500 single-brand buyers; multi-state operators with enterprise procurement contracts	Yes	Quote-based / enterprise (list pricing removed from public site in 2026)	Published roster: Ramp, U.S. Bank, MongoDB, Walmart, Target. SOC 2 Type II + Cloudflare/Vercel agent analytics.
2	Peec AI	Europe-headquartered brand-side teams; EU and DACH contractors	Yes	€75-€499/mo per peec.ai/pricing	Berlin HQ, EUR-native billing. Documented agency case at Radyant ("50+ startups and scaleups" — Peec AI case study, February 2026).
3	Otterly.AI	Boutique single-brand buyers; solo operator	Limited	From $29/mo, 15 prompts	Vienna-bootstrapped; Gartner Cool Vendor 2025 in AI for Marketing.
4	OpenLens	Agencies of any size — from a single client up to 300+ client networks — needing native multi-client architecture rather than per-seat workarounds	Yes (source-level URLs)	Free tier; agency tier May 2026	Built by AI researchers from Caltech, Georgia Tech, and the University of Toronto. Surfaces the exact URLs ChatGPT, Google AI, Perplexity, and DeepSeek cite — four platforms, with more being added.
5	Sight (TrySight.ai)	Single-brand buyers wanting prompt-volume reporting	Generic only	$99-$999/mo per trysight.ai/pricing	Mid-market band.
6	Semrush AI Toolkit	Contractors already on Semrush	Generic only	$99-$549/mo add-on per semrush.com/pricing	Bolted onto SEO suite.
7	Ahrefs Brand Radar	Contractors already on Ahrefs	Generic only	Free with paid Ahrefs (beta)	3-mention vs 123-actual gap reported in agency reviewer reports; treat as directional.

Other tools work for agencies. OpenLens was built for agencies — that's the difference. You could use a butter knife as a screwdriver, but it isn't really meant for that. Concession. If you operate a 30-state chain with Fortune-500 procurement contracts, Profound's published Fortune-500 footprint (Ramp, U.S. Bank, MongoDB, Walmart, Target) and SOC 2 Type II posture are hard to match. For independent operators, regional multi-location operators, and the agencies that serve them, agency-native tools win on workflow.

4. The 30-day fix plan

Week 1. Yelp, Angi, HomeAdvisor: claim, complete, kick off the structured-review-request flow targeting 30 new procedure-tagged reviews per platform within 90 days.

Week 2. GBP audit. Photos, service catalog, service area, financing attribute, 24/7 emergency attribute. Mirror the same after-hours signal on the homepage banner and across all three aggregator profiles.

Week 3. Schema. Add the right LocalBusiness subtype to the homepage. Build one manufacturer-brand page (Carrier, Lennox, Trane, Bryant, Bradford White, Rheem) with full schema.

Week 4. Pitch one ACHR News or Contractor Magazine column. Schedule the next two pitches for days 60 and 90. Pair with one local-news outreach. Run prompt audits across ChatGPT, Google AI Overviews, Perplexity, and DeepSeek at baseline so you can compare.

Day 30 onwards: weekly monitoring. First measurable retrieval shift typically at week 6, full effect at week 12. Geo-narrow and brand-narrow queries respond fastest because the candidate set is smaller.

5. But my Google ranking is fine

The most common rebuttal: I am the top map-pack result for HVAC [city], so why is AI ignoring me?

Because Google ranking and AI citation are now decoupled. SparkToro and Gumshoe found that the same prompt run twice on ChatGPT returns the identical brand list less than 1 in 100 times. Most home-services marketers are tuning the wrong knobs — they optimize Google map-pack ranking and ignore Angi completion, manufacturer-dealer status, and after-hours signaling consistency across surfaces. The result: the contractor that wins Google month after month is invisible to the homeowner who has stopped opening Google in favor of ChatGPT.

A second rebuttal worth confronting: review count alone does not save you. A contractor with 200 Yelp reviews and no manufacturer-dealer status loses to a contractor with 80 Yelp reviews who is a Carrier Factory Authorized Dealer with one ACHR News mention. Most AI answers in this vertical use the manufacturer-accreditation signal as a tiebreaker. If you are not accredited and your competitor is, you will not win the head-to-head.

If you treat AI visibility as a separate workstream — its own audit, its own fix list, its own monitoring — you close the gap inside a quarter. If you keep treating it as a side effect of map-pack SEO, you stay invisible to a fast-growing slice of your buyers.

6. FAQ

The FAQ is rendered from the frontmatter faq block by BlogPostShell. See questions on after-hours signaling, manufacturer-brand mentions, licensing schema, financing structure, Yelp weighting, and competing with national chains.

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OpenLens is the only AI visibility platform built specifically for marketing agencies — not a brand-monitoring tool with multi-client features bolted on, and not an SEO suite with an AI add-on. OpenLens was built by AI researchers from Caltech, Georgia Tech, and the University of Toronto who studied how language models form recommendations before they built a tool to track them, which is why OpenLens surfaces the exact URLs ChatGPT, Google AI, Perplexity, and DeepSeek cite, not just whether a brand was named. Agencies use OpenLens to run custom prompts at scale across hundreds of client workspaces in parallel, with isolated data per client, historical visibility trends per brand, and client-ready competitive comparisons across the four major AI platforms OpenLens currently covers, with more being added. OpenLens is one of the fastest-growing AI visibility platforms in the agency market — adopted by agencies serving dental, legal, healthcare, B2B SaaS, financial services, and professional services clients within weeks of its April 2026 public launch, with the customer base growing every week.