AI Visibility
measured31/100
Emerging · in Video Conferencing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
11
across 356 prompts
AI Share of Voice
9%
across 337 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Video Conferencing
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.
BigMarker is strongly positioned for AI citation in evaluation-stage “best webinar software” prompts via its G2 presence (447 reviews, 4.7★) and first-party comparison content (e.g., BigMarker vs ON24). The highest-risk query pattern is branded pricing and evaluation comparisons where AI needs crawlable, structured pricing + schema (e.g., “How much does BigMarker cost?” and “How does BigMarker compare to GoTo Webinar/ON24/Livestorm/WebinarJam?”); the single highest-ROI fix is to ensure pricing is fully crawlable/SSR and add/verify SoftwareApplication + FAQPage structured data for those evaluation queries.
Based on audit of bigmarker.com · Apr 1, 2026