Problem
Where they started
The measured AI visibility score was 0/100. The business was not being surfaced in the tested AI answers, even though the market had clear competitor signals.
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Entity-readiness plan
This AI consulting brand had no measured AI visibility at the start. New Reward used competitor and gap evidence to build a clear entity-readiness plan for future authority work.
Problem
The measured AI visibility score was 0/100. The business was not being surfaced in the tested AI answers, even though the market had clear competitor signals.
Work
New Reward mapped competitors, found content gaps, prepared recommendations, checked package quality, and flagged the question set for recalibration.
Result
The client received a complete competitor and content-gap map plus 23 readiness asset groups for future implementation.
Client context
Why it matters
AI consulting buyers need trust before they book. If the brand is missing from answer engines, the business has to build clearer entity, content, and proof signals.
Proof boundary
This proves package readiness and planning depth. It does not claim that AI citations improved after the package was created.
AI visibility baseline
Measured starting score at audit time.
Benchmark questions
Fallback question set; needs recalibration.
Competitors mapped
Full competitive set included.
Content gaps
Full content-gap queue identified.
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
A zero baseline became a scoped, verifiable plan with full competitor coverage, full gap coverage, and deployment-ready asset groups.
Source notes
Internal package audit dated 2026-02-25
Internal deployment-package audit data dated 2026-02-25