Case Study: Emergency Plumbing (Tampa)

Core Messaging / Positioning

Hero: "From zero AI presence to owning emergency plumber Tampa in 67 days."
Vertical hook: "Here are some top-rated emergency plumbers in Tampa" (implied local AI listing).
Situation: "A 24/7 emergency plumber that AI engines did not even know existed" — "This Tampa plumbing company had been in business for 18 years with a strong reputation in the area. When emergencies hit at 2 a.m., locals called them. But the next generation of customers were asking ChatGPT for an emergency plumber, and the company was nowhere to be found."
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 21 to 70. Calls tripled. In 90 days." (Note: hero says "67 days," headline says "90 days" — timeline inconsistency on page.)

This Tampa company: 18 years in business, strong local reputation, yet "nowhere to be found" for AI emergency-plumbing searches.
Score: 21 → 70 (dashboard, 90 days after starting Stay Found).
"Calls tripled. In 90 days."
Timeline mismatch: hero headline "67 days"; results block "90 days."
Testimonial (owner): "The calls have roughly tripled and I did not touch a computer."
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."
Product line named: Stay Found.

Free audit finds the AI gap → "step-by-step plan our team executed while the owner ran the business" → dashboard-tracked 90-day Stay Found window.
Fully done-for-you: "Bizl handles all of it. I just answer the phone and show up."

Urgent-demand vertical (emergency/2 a.m.): emotional weight of missing calls in an emergency.
Tech-aversion persona: owner "I am a plumber, not a marketer. I do not have time to learn schema or whatever it is called." Blue-collar relatability.
"Did not touch a computer" = fully done-for-you labor-removal message.
"Beyond the numbers" qual section alongside quant headline.
Dashboard numbers + 90-day window lend veneer of precision.

Silent Customer Loss: Compelling discovery-failure story — a reputable business financially bleeding emergency calls it never knew it was losing. DOP's central wedge; DOP should prove the loss with measured pre/post call data, not anecdote.
Evidence quality: Score (21→70) and "calls tripled" sourced only to Bizl dashboard (Tier-3, n=1, self-reported). "Tripled" is survey-level; no baseline call volume shown. DOP can supply verified metrics and clear definitions.
Timeline inconsistency (67 vs 90 days) is a minor credibility slip on the page worth noting; DOP's measured reporting should be internally consistent.
Human supervision vs black-box: Black-box "handles all of it — I did not touch a computer" is sold as a benefit; DOP = human-supervised + agent-assisted where the owner understands and approves. Transparency differentiates.
PoC-style entry: free audit ("Takes 4 minutes") mirrors DOP Cold Audit → PoC → Retainer.
Conversion patterns: urgent-demand framing, tech-aversion persona, labor-removal ("did not touch a computer"), dashboard numbers, quick-audit CTA.