AI Visibility
measured10/100
Emerging · in Wiki & Docs
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals62/100
Some gaps
Avg Prompt Score
4
across 391 prompts
AI Share of Voice
1%
across 373 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Wiki & Docs
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.
HelpCrunch is highly likely to be cited for evaluation-stage queries because it has strong third-party review authority on G2 (237 reviews, 4.7★) and it publishes first-party comparison pages like “HelpCrunch vs Intercom” and “Zendesk vs HelpCrunch.” The single highest-ROI fix is to strengthen structured evaluation surfaces (SoftwareApplication + FAQPage for the exact comparison/pricing prompts) so AI engines can reliably answer “How does HelpCrunch compare to Intercom?” and “How much does HelpCrunch cost?” directly from helpcrunch.com rather than falling back to G2/blogs.
Based on audit of helpcrunch.com · Apr 2, 2026