HVACAI SEO

Sixty-five years, no address on the site, and two 404s in the navigation

Hurley & David · Springfield, MA · audited September 1, 2026

Sheet metal ductwork being fabricated in a workshop

Who they are

Springfield-based residential contractor serving Western Massachusetts and Northern Connecticut across HVAC, plumbing, electrical, generators and indoor air quality. Over 65 years in business. Blog branded as a 'Learning Hub'.

Live site audit · September 1, 2026

What we verified

Blog, location pages, online booking, financing. And a set of live defects — no street address published anywhere on the site, /service-areas/ returns 404, /contact-us/ returns 404, and the meta description still claims 'over 60 years' while the page copy says 65.

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

The problem

Two of the most important URLs on the site were dead, the address was missing entirely, and the company's own age was inconsistent between its metadata and its copy.

A 404 on /contact-us/ is a direct revenue leak — it is one of the highest-intent pages on any contractor site. A missing address blocks the address-in-city local pack factor and breaks NAP consistency across every directory and assistant. And inconsistent tenure claims between metadata and copy is exactly the kind of contradiction that makes an assistant decline to state a fact about a business at all.

What made this one different

Western Mass and Northern Connecticut is a genuine two-state footprint described only as regions. Same structural gap as several others in this book.

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. Hurley & David's own reporting has not yet been reconciled against these rows — see how we define a target versus a result.

MetricBaselineTargetChangeScope
AI assistant mention rate10%29%+19 ptsshare of a fixed 40-prompt non-branded set naming the business, across 4 assistants
Local Pack top-3 coverage26%50%+24 ptsshare of service × city grid points in the top 3
Non-branded organic leadsindex 100index 150+50%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)
Top 42026 local pack factors: GBP primary category, proximity, keywords in business title, address in search cityWhitespark Local Search Ranking Factors (2026)

Objections this answers

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

The proof behind every figure

These are the raw exports Hurley & David 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

Two of the most important URLs on the site were dead, the address was missing entirely, and the company's own age was inconsistent between its metadata and its copy. A 404 on /contact-us/ is a direct revenue leak — it is one of the highest-intent pages on any contractor site. A missing address blocks the address-in-city local pack factor and breaks NAP consistency across every directory and assistant. And inconsistent tenure claims between metadata and copy is exactly the kind of contradiction that makes an assistant decline to state a fact about a business at all.

Related engagements

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