DEEP AUDIT
AI Retrieval Visibility Audit: Find The Gap Behind The Answer.
Charles Brian International conducts an AI retrieval visibility audit when a company has useful expertise but its pages and sources rarely surface in AI-assisted research. We inspect crawl access, query variations, cited documents and competing evidence to identify whether the problem is discoverability, context or credibility.
DEEP AUDIT
What The Audit Investigates
We test prompt families, record answer variants, trace cited and influential sources, map first-party content coverage, inspect technical accessibility, identify entity ambiguity and prioritize gaps by buyer-stage importance.
Every recommendation is tied back to an observable buyer need or retrieval pattern so execution remains explainable to marketing, product and revenue teams.
ENTERPRISE PRINCIPLEOptimize the information environment around a decision.
Technical access, content, entities, citations, proof and third-party authority work together.
DEEP AUDIT
What We Deliver
Evidence baseline
Document the current state before making changes.
Competitive benchmark
Compare the company against the alternatives buyers actually consider.
Prioritized actions
Rank work by buyer-stage importance and commercial consequence.
Measurement plan
Define how progress will be tested repeatedly.
DEEP AUDIT
Where This Fits In The Buyer Journey
Discovery
Category and problem questions.
Comparison
Best-for, alternatives and vendor-vs-vendor questions.
Evaluation
Features, integrations, proof and fit.
Risk
Implementation, migration, security, cost and adoption.
Procurement
Questions stakeholders ask before approval.
Expansion
New use cases, markets and products.
Next Useful Step
Request An AI Visibility Diagnostic
Choose one company, one competitive set and one revenue-critical buyer journey. We will identify the decision questions, representation gaps and evidence requirements that matter most.