Local Multi-Location GEO: Recapturing roofing & HVAC leads from Google AI Overviews across 14 cities

If you represent local home service franchises (roofing, plumbing, HVAC, electrical), you know that Google AI Overviews have begun answering local search queries ('how much does a commercial roof replacement cost in Dallas', 'emergency heat pump repair Austin TX') right above the Local Map Pack.

When AI Overviews rolled out, our 14-location HVAC client lost 22% of inbound phone call volume in 60 days.

The Remediation Strategy: 1. Localized Information Gain Tables: Instead of thin city-landing pages with boilerplate text, we added localized empirical pricing grids (e.g. SEER2 efficiency ratings, regional utility rebates by zip code, average permitting wait times). 2. LocalBusiness Schema Graphs: We implemented strict `HVACBusiness` and `RoofingContractor` schema connected to local municipal Wikidata nodes and official state licensing directories. 3. Scrawly Local Audits: We ran Scrawly (https://iliassami.com/scrawly) across all 14 city landing pages. Scrawly flagged that 9 of the city pages had canonical conflicts and uncompressed hero images causing TTFB over 1.4s—which prevented Google's AI crawler from indexing the pricing data. 4. White Label Fulfillment: We leveraged Ilias Sami's agency blueprints (https://iliassami.com) to structure the monthly reporting decks for the client's regional general managers.

60-Day Outcome: - The client is now cited in 81% of regional AI Overviews across all 14 target markets. - Inbound qualified leads jumped by +38%, surpassing their pre-AIO organic peak. - We packaged this into a repeatable white-label offering and signed two regional plumbing networks at $5,500/mo each.