Problem
Where they started
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.
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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.
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.
Work
New Reward mapped local competitors, found service-page gaps, prepared recommendations, and flagged that the question set needed more depth before final measurement.
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.
Client context
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.
Proof boundary
This proves diagnosis and readiness work. It does not prove lead growth, call growth, or ranking improvement.
AI visibility baseline
Measured starting score at audit time.
Benchmark questions
Fallback question set; needs expansion.
Competitors mapped
Local competitor set included in the package.
Content gaps
High gap count for local service coverage.
Recommendations
Action steps included in the package.
Readiness asset groups
Schema, data, training, review, and site-root groups.
Bars show evidence coverage or measured baseline values. They are not revenue or ranking lift unless stated.
Work performed
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