AI-referred website traffic converted at 4.4 times the rate of traditional organic traffic.
Home Services GEO Case Study: Emergency HVAC Recommendations
How an anonymized multi-location HVAC and plumbing contractor used operational data to compete with directories in AI recommendations.
Confidentiality
Client identity withheld under confidentiality agreement.
The challenge
The problem
National home-service directories dominated ChatGPT recommendations, reducing the visibility of the independent local contractor.
What this shows
Key takeaway
Local contractors can compete with national directories by publishing specific, machine-readable details about pricing, availability, equipment, and licensing.
GEO implementation
How the visibility strategy changed
- 1
Multi-branch entity standardization
Implemented standardized HVACBusiness structured data specifying service areas, coordinates, emergency hours, and license information for each branch.
- 2
Equipment-specific service specifications
Restructured service pages around equipment brands serviced, response-window commitments, and flat-rate diagnostic fees.
Measurable results
Reported engagement outcomes
Reported outcomes from this real anonymized engagement are presented as supplied. Raw analytics, CRM records, and private evidence are not published on this page.
Named as a top recommended contractor in 8 out of 10 ChatGPT Search queries in the primary metro area.
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