AI Visibility
measured23/100
Emerging · in Browser Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
7
across 174 prompts
AI Share of Voice
7%
across 174 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.
Bugbug.io is a B2B SaaS (low-code test automation) with strong AI-citation inputs from G2: 23 reviews at 4.7/5. The biggest risk for AI engines is evaluation-stage citation for “vs/alternatives/pricing” queries—because first-party structured comparison coverage and B2B structured data (SoftwareApplication/FAQPage) are not clearly detectable, and robots.txt/sitemaps couldn’t be verified.
Based on audit of bugbug.io · Jun 9, 2026