AI Visibility
measured73/100
Frequently Cited · in Reverse ETL
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals72/100
Solid fundamentals
Avg Prompt Score
76
across 659 prompts
AI Share of Voice
76%
across 643 prompts
Critical Issues
3
critical + high
How AI Visibility breaks down
in Reverse ETL
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.
Hightouch is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (416 reviews) and a crawlable, tiered pricing page. The single highest-ROI fix is to add/verify SoftwareApplication + FAQPage structured data on key product/pricing pages so AI Overviews and LLM evaluation answers can cite Hightouch directly for “pricing/integrations/what is X” queries.
Based on audit of hightouch.com · Oct 25, 2026