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Local-service visibility diagnosis
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.
Short answer
This case study shows the starting problem, the New Reward work performed, the verified result, and the claim boundary for this roofing contractor case. It is written to show useful progress without turning activity metrics into unproven ROI, ranking, lead, revenue, or AI-citation claims.
8Recommendations
Recommendations
8
What can be shown now
New Reward made the weak visibility measurable, ranked the content gaps, and identified the benchmark issue to fix before stronger public claims.
Source: Local-service visibility diagnosis · February 2026 package audit
Return proof
Return proof not claimable yet
Revenue, lead, ranking, citation, or ROI claims need separate source-backed outcome evidence.
Percent change
Percentage change not claimable yet
Baseline/current lift is shown only when both sides of the measurement are source-backed.
The journey
01Problem
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.
02Action
New Reward mapped local competitors, found service-page gaps, prepared recommendations, and flagged that the question set needed more depth before final measurement.
03Result
The client received a clear local action map: what was weak, what content was missing, and what measurement issue had to be fixed first.
04Why 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
This section keeps the case useful for sales without stretching the result. It names the buyer question, the objection it answers, and the next proof needed before stronger outcome claims.
Buyer question
Use it when: 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
Next proof needed before stronger claims
Client context
Proof boundary
This proves diagnosis and readiness work. It does not prove lead growth, call growth, or ranking improvement.
Roofing local gap map
Where it started
1/100
AI visibility baseline
The measured package showed a 1/100 overall AI visibility score and only a small Perplexity signal.
What shipped
Ready now
6Competitors mapped
10Content gaps
A local-service diagnosis: neighborhood demand, missing service coverage, fallback measurement, and the specific fixes to prioritize before lead claims.
New case-specific illustration, not a private roofing-client screenshot and not proof of lead, call, ranking, or revenue movement.
Next evidence needed
Verified result
New Reward made the weak visibility measurable, ranked the content gaps, and identified the benchmark issue to fix before stronger public claims.
Source notes
Internal package audit dated 2026-02-25
Internal deployment-package audit data dated 2026-02-25
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