Case Study: HVAC (Atlanta)

Core Messaging / Positioning

Hero: "From near-invisible to top HVAC recommendation in Atlanta in 45 days."
Vertical hook: "Here are some top-rated HVAC services in Atlanta" (implied local AI listing).
Situation: "An established HVAC company losing summer leads to AI-discovered competitors" — "This Atlanta HVAC company had 15 years in the market and a loyal customer base from word of mouth and Google Ads. But when homeowners asked ChatGPT or Gemini for the best HVAC company, the same three competitors came up every time... wanted to understand exactly where the gap was before investing."
Execution: "A step-by-step plan our team executed while the owner ran the business" — "From the day the business signed up for Stay Found, our team handled everything."
Result headline: "Score went from 14 to 61. Calls tripled. In 90 days." (Note: hero says "45 days," headline says "90 days" — timeline inconsistency on page.)

This Atlanta company: 15 years in market, dependent on word of mouth + Google Ads; same 3 competitors surfaced by ChatGPT/Gemini every time.
Score: 14 → 61 (dashboard, 90 days after starting Stay Found).
"Calls tripled. In 90 days."
Timeline mismatch: hero "45 days"; results "90 days."
Testimonial (owner): "We were spending four grand a month on ads and still missing the calls that matter, the 2am no-AC emergencies... I cut my ad budget and we still booked more jobs than last summer."
Methods caveat: "Every number below is from the business's Bizl dashboard, 90 days after starting Stay Found." — self-reported dashboard figures, no independent verification (Tier-3).
Product/service line named: Stay Found.

No pricing on page. Free audit CTA: "Takes 4 minutes. Our team handles everything after."
Ad-budget ROI theme: $4k/mo ads replaced/supplemented by AI visibility.

Free audit finds the gap ("wanted to understand exactly where the gap was before investing") → "step-by-step plan our team executed while the owner ran the business" → 90-day Stay Found window, dashboard-tracked.
Fully done-for-you after audit.

ROI / ad-cost angle: $4,000/mo on ads while AI calls were missed — frames business case for redirecting budget.
Seasonal urgency: "summer leads," "2am no-AC emergencies," "first heat wave after we started."
Efficiency proof: "I cut my ad budget and we still booked more jobs" — Bizl replaces/offsets ad spend.
"Beyond the numbers" qual section alongside quant headline.
Dashboard numbers + 90-day window lend veneer of precision.

Silent Customer Loss: Discovery-failure where a contractor pays $4k/mo for ads while losing high-value emergency calls it didn't know were being captured by AI competitors — textbook DOP wedge; prove loss via measured before/after.
Evidence quality: Score (14→61) and "calls tripled" sourced only to Bizl dashboard (Tier-3, n=1, self-reported); "booked more jobs" is unquantified. DOP can supply verified metrics and honest attribution (AI-visibility vs ad/holiday effects).
Timeline inconsistency (45 vs 90 days) is a minor credibility slip worth noting; DOP's measured reports should be internally consistent.
Human supervision vs black-box: Done-for-you black-box sold as full removal. DOP = human-supervised + agent-assisted with owner approval and transparent method.
PoC-style entry: free audit ("Takes 4 minutes") matches DOP Cold Audit → PoC → Retainer.
Conversion patterns: ad-ROI framing, seasonal urgency, efficiency proof ("booked more jobs"), dashboard numbers, quick-audit CTA.