Case Study

SearchFit AI Visibility Audit

An AI visibility audit framework that evaluates how consistently and accurately a business appears across AI-driven discovery environments.

AnalyticsResearchMarketing

The Problem

Traditional SEO metrics do not fully show how a company is represented when users ask AI systems about businesses, services, and competitors.

What I Designed

A structured audit that evaluates AI visibility across six dimensions: presence, accuracy, sentiment, position, completeness, and consistency.

How AI Was Used

  • Research methodology
  • Scoring framework
  • Competitive analysis
  • Audit synthesis
  • Recommendation generation

What Was Built

  • Six-dimension scoring model
  • Site/company audit process
  • Competitive visibility analysis
  • Structured findings and recommendations

Challenges

  • Turning qualitative AI responses into a repeatable framework
  • Separating visibility from accuracy and completeness
  • Making recommendations practical for business owners

Outcome

  • Created a repeatable AI visibility analysis process
  • Applied the framework to multiple sites
  • Expanded SEO analysis into AI discovery and answer-engine visibility

Screenshots

Sanitized SearchFit AI visibility audit scorecard with sample presence, accuracy, and recommendation panels

What This Demonstrates

AI visibilityResearch systemsScoring frameworksMarketing analysis