Perplexity
GrokNew Reward made the weak visibility measurable, ranked the content gaps, and named the benchmark fix that comes next.
Back to case studiesLocal-service visibility diagnosis
Roofing contractor: finding the local search gaps before scaling content
This local contractor had almost no AI visibility signal. New Reward measured the gap, mapped competitors, found service-content holes, and showed what needed to be fixed before stronger local claims could be made.
Roofing local gap mapA local-service diagnosis: neighborhood demand, missing service coverage, fallback measurement, and the specific fixes to prioritize before lead claims.
Visual boundary: New case-specific illustration of the local gap map, drawn from the audit numbers on this page.
This case is framed as operational proof.
Before-and-after percentages are published once both sides of the window are source-backed.
The journey
Problem to proof.
01
Problem
The business had a 1/100 AI visibility score. It had a small signal in one measured engine, but it was mostly missing from the broader answer landscape.
02
Action
New Reward mapped local competitors, found service-page gaps, prepared recommendations, and flagged that the question set needed more depth before final measurement.
03
Result
The client received a clear local action map: what was weak, what content was missing, and what measurement issue had to be fixed first.
04
Why it matters
Contractor leads often go to the company buyers can find fast. Weak local visibility, thin service pages, and slow proof make it easier for competitors to win the job.
Sales use
How to use this proof in a buyer conversation.
Buyer question
Can New Reward find why a local service business is losing discovery opportunities?
Use this for contractors and urgent-service buyers before discussing pages, ads, reviews, or lead response.
Objection handled: The buyer wants leads, but the case shows why diagnosis comes before lead-growth claims.
Best fit
What we measure next
- Call and form attribution by source
- Expanded local-intent benchmark question set
Client context
Anonymized roofing contractor
- Industry
- Roofing contractor
- Timeframe
- February 2026 package audit
- Starting point
- The measured package showed a 1/100 overall AI visibility score and only a small Perplexity signal.
Proof boundary
This proves diagnosis and readiness work: the local competitor map, the service-content gaps, and the measurement fix to make first.
Verified resultNew Reward made the weak visibility measurable, ranked the content gaps, and named the benchmark fix that comes next.
Inspectable work
What shipped and where the proof comes from.
What shipped
- Mapped 6 competitors in the local service category.
- Found 10 content gaps for service and local-intent coverage.
- Prepared 8 recommendations and 23 readiness asset groups.
- Flagged the 6-question fallback benchmark set as a measurement issue to fix.
Source notes
Deep package audit
Internal package audit dated 2026-02-25
Package audit data
Internal deployment-package audit data dated 2026-02-25
Next step
Turn this proof into the right offer lane.
Start from the evidence, then choose the work that matches the buyer path.