AI Visibility
measured39/100
Emerging · in Browser Automation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals45/100
Some gaps
Avg Prompt Score
19
across 196 prompts
AI Share of Voice
19%
across 196 prompts
Critical Issues
5
critical + high
Shortlist Position
0/80
Not Visible · Etl Data Integration Discovery
How AI Visibility breaks down
in Browser Automation
Composite = 60% coverage + 40% engine breadth, 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.
Your visibility gap
ParseHub surfaces in 0/80 Etl Data Integration discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.
ParseHub has meaningful B2B citation signals (it appears on G2 with 10 reviews and has a crawlable pricing page with public tiers), but it is missing from the highest-intent ETL/data-integration buyer query patterns. The single highest-ROI fix is to publish first-party, crawlable evaluation content that maps ParseHub to ETL/data-integration outcomes (data migration, data quality/consistency, warehousing, real-time) so AI engines can cite it for those specific gap questions.
Based on audit of parsehub.com · Aug 17, 2026