AI Search Visibility & GEO Audit System
Ignacio Rotth
AI search visibility, measured against real buyer questions
A brand can rank in traditional search and still be absent, mischaracterized, or weakly supported when buyers ask AI assistants for recommendations, comparisons, and alternatives.
AI search visibility audit overview
What I built
CiteFrame is an AI search visibility and GEO audit system for software and e-commerce brands. It tests buyer-intent queries across leading AI engines and documents how a brand is:
Mentioned or omitted in recommendations
Described and positioned against alternatives
Compared with competitors
Supported by available citations and evidence
Represented when technical accessibility and content signals diverge
AI visibility audit findings
Audit methodology
The workflow combines query testing, response analysis, competitive comparison, technical accessibility checks, and content review. Each finding distinguishes observed evidence from signals that were not measurable in that run, so recommendations aren't built on false precision.
AI search visibility remediation view
What the client receives
A prioritized audit that turns the evidence into practical technical, content, and positioning actions, plus a clear explanation of what the audit could and could not verify.
Best fit
This is designed for SaaS and e-commerce teams that want a defensible view of how their brand appears in AI-driven discovery before buyers reach their website.
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Posted Oct 10, 2026
AI search visibility and GEO audit system for SaaS and e-commerce brands, built around buyer-intent queries and evidence-backed remediation.
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