HVACAI SEO

170,000 jobs of proof, none of it where assistants look

Mercurio's Heating & Air Conditioning · Tacoma / Silverdale, WA · audited September 1, 2026

Rooftop commercial air handling units on a flat commercial roof

Who they are

Two-location contractor since 1992 covering Pierce and Kitsap counties from Tacoma and Silverdale. HVAC, plumbing, electrical, EV charging, generators and indoor air quality. Site reports 170,000+ service jobs, 30,000+ installations and 2,700+ five-star reviews.

Live site audit · September 1, 2026

What we verified

Blog, online scheduling, financing and specials, service-area pages, WordPress on a Click5 Interactive build. The largest and most mature operation in the Washington book. All proof claims are self-reported on the site with no third-party corroboration surfaced.

Every statement above was confirmed against mercurios.com on September 1, 2026. Sites change; this is a dated observation, not a permanent claim.

The problem

The most impressive operating record in the Washington book existed as three numbers on a homepage that nothing outside the domain could verify.

Self-reported claims are worth very little to an AI assistant. Citation follows third-party corroboration — 84% of AI citations trace to earned media, and branded web mentions correlate with AI visibility at 0.664 against 0.218 for backlinks. 170,000 jobs is a genuinely remarkable number and it needed to exist somewhere other than mercurios.com.

What made this one different

Two counties, two locations, one brand — Kitsap is a distinct market and was being served entirely from Tacoma's search footprint.

What we did

Win the Local Pack first — it is still 93% of local-intent queries — then attack AI citation off-site, where 77% of it actually comes from.

  • Built the service × city page grid properly: local-intent queries return a Local Pack 93% of the time and trigger an AI Overview only about 15% of the time, so this is a Local Pack fight, not an AI Overview panic.
  • Rebuilt the Google Business Profile against the four factors that actually move the pack — primary category, proximity, keywords in the business title, address in the search city.
  • Ran a citation baseline through Scriblr across ChatGPT, Gemini, Perplexity and AI Overviews on a fixed 40-prompt non-branded set, then tracked mention rate weekly.
  • Went after off-site mentions through LinkersPro, because 77% of AI citations on branded queries come from off-page sources and branded web mentions correlate with AI visibility at 0.664 against 0.218 for backlinks.
  • Installed a review engine: 47% of consumers won't use a business under 20 reviews, 68% now require 4+ stars, 74% want reviews from the last three months, and 80% are more likely to use a business that answers all of them.
  • Skipped the schema-and-llms.txt theatre — a controlled test on 1,885 pages found JSON-LD produced no citation lift, and 97% of llms.txt files are never requested.

How it was sequenced

  1. Days 0–30

    Citation baseline across four assistants, GBP rebuild, page architecture and entity cleanup.

  2. Days 31–90

    Service × city page grid shipped, review engine live, first off-site mention wave.

  3. Days 91–180

    Mention velocity sustained, citation rate compounds, freshness cycle running on service and city pages.

The numbers

Targets this programme was set and measured against

These are not reported results. Mercurio's Heating & Air Conditioning's own reporting has not yet been reconciled against these rows — see how we define a target versus a result.

MetricBaselineTargetChangeScope
AI assistant mention rate21%38%+17 ptsshare of a fixed 40-prompt non-branded set naming the business, across 4 assistants
Local Pack top-3 coverage44%64%+20 ptsshare of service × city grid points in the top 3
Non-branded organic leadsindex 100index 128+28%indexed to engagement start = 100
Google review velocity and recencyindex 100index 240+140%new reviews per month, indexed; target 74% inside 90 days

Where these targets come from

Published figureWhat it measuresSource
28% / 55%AI mention rate for Local & Home Services: median and top quartile, non-branded promptsMaxAEO (vendor benchmark) (2026)
93%Share of local-intent queries still returning a Local Pack; only ~15% trigger an AI OverviewWhitespark (2025)
77%Share of AI citations on branded queries coming from off-page sources, not the brand's own siteOmniscient Digital (23,000+ citations) (2026)
74%Consumers who want reviews from the last three months; 32% from the last two weeksBrightLocal (2026)
84%Share of AI citations tracing to earned media (25M+ links, 17 industries)Muck Rack (2026)
0.664 vs 0.218Correlation with AI visibility: branded web mentions vs backlinks (75,000 brands)Ahrefs (2026)

Objections this answers

  • “Is AI search actually sending anyone? Nobody has proved it.”

The proof behind every figure

These are the raw exports Mercurio's Heating & Air Conditioning receives, and the ones any number on this page reconciles against. Ask any agency for the equivalent.

  • Scriblr prompt-set baseline and current export
  • Local grid rank screenshots
  • GBP insights export
  • Review velocity chart
  • Third-party mention log with live URLs

Systems used

  • Scriblr for AI citation tracking across ChatGPT / Gemini / Perplexity / AI Overviews
  • LinkersPro for mention and authority acquisition

Questions about this engagement

The most impressive operating record in the Washington book existed as three numbers on a homepage that nothing outside the domain could verify. Self-reported claims are worth very little to an AI assistant. Citation follows third-party corroboration — 84% of AI citations trace to earned media, and branded web mentions correlate with AI visibility at 0.664 against 0.218 for backlinks. 170,000 jobs is a genuinely remarkable number and it needed to exist somewhere other than mercurios.com.

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