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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.
Short answer
This case study shows the starting problem, the New Reward work performed, the verified result, and the claim boundary for this ai consulting and professional services case. It is written to show useful progress without turning activity metrics into unproven ROI, ranking, lead, revenue, or AI-citation claims.
10Competitors mapped
Competitors mapped
10
What can be shown now
A zero baseline became a scoped, verifiable plan with full competitor coverage, full gap coverage, and deployment-ready asset groups.
Source: Entity-readiness plan · 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 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.
02Action
New Reward mapped competitors, found content gaps, prepared recommendations, checked package quality, and flagged the question set for recalibration.
03Result
The client received a complete competitor and content-gap map plus 23 readiness asset groups for future implementation.
04Why 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.
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 consulting, agency, and expert-service buyers that need authority structure before publishing more content.
Objection handled: The buyer may want citations immediately; the case shows the source, schema, content, and competitor map needed first.
Best fit
Next proof needed before stronger claims
Client context
Proof boundary
This proves package readiness and planning depth. It does not claim that AI citations improved after the package was created.
AI consulting entity map
Where it started
0/100
AI visibility baseline
The measured baseline was 0/100 across the AI engines in the audit.
What shipped
Ready now
10Competitors mapped
10Content gaps
An entity-readiness map: sources, schema, questions, and competitors organized before stronger answer-engine claims are made.
New case-specific illustration, not a private client screenshot and not proof that AI citations improved after the package.
Next evidence needed
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
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