AI Visibility
measured30/100
Emerging · in Feedback Management
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals12/100
Weak fundamentals
Avg Prompt Score
22
across 196 prompts
AI Share of Voice
22%
across 196 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Feedback Management
Composite = 50% coverage + 30% engine breadth + 20% position, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Cited rate · share of voice · engine consensus · sentiment, broken out by buyer-journey stage. Sentiment is the net positive−negative skew across engines that cited the brand at this stage.
Marker.io is a B2B SaaS with strong AI-citation inputs from G2 (40 reviews, 4.8/5) and publicly crawlable pricing with tiered amounts. The biggest AI citation risk is evaluation-stage comparison coverage and structured data: there’s evidence of first-party “vs” pages (e.g., Marker.io vs BugHerd), but no clear proof (from live search) of SoftwareApplication/FAQPage/aggregateRating schema, which limits Google AI Overviews and other LLMs’ ability to cite Marker.io for pricing/evaluation questions.
Based on audit of marker.io · May 6, 2026