AI Visibility
measured23/100
Emerging · in Browser Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals59/100
Some gaps
Avg Prompt Score
8
across 165 prompts
AI Share of Voice
8%
across 165 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Browser Automation
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.
HeadSpin is a B2B digital experience testing platform and already has strong AI-citation inputs from LinkedIn and Gartner Peer Insights, plus publicly crawlable pricing tiers. The biggest AI-visibility risk is evaluation-stage citation: while HeadSpin has first-party “vs” pages (e.g., HeadSpin vs BrowserStack / Sauce Labs), there’s no clear evidence of SoftwareApplication/FAQPage structured data and no confirmed llms.txt/robots.txt accessibility signals, which can reduce how reliably AI engines extract and cite evaluation answers.
Based on audit of headspin.io · Oct 6, 2026