AI Visibility
measured18/100
Emerging · in Video Conferencing
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals50/100
Some gaps
Avg Prompt Score
7
across 308 prompts
AI Share of Voice
7%
across 308 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in Video Conferencing
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.
Enghouse Video is a B2B enterprise video platform brand with strong third-party review/analyst signals (e.g., Gartner Peer Insights page exists and G2 has Enghouse-related seller pages). The biggest AI-citation risk is evaluation-stage “brand vs competitor” and “pricing” queries: pricing is partially public but often routes to “contact sales/custom quote,” and first-party SoftwareApplication/FAQ/robots/llms crawlability signals could not be verified via live search. Highest-ROI fix: publish/SSR-index a dedicated, crawlable “Enghouse Video (Qumu/Vidyo/Mediasite) pricing + plan tiers” page and add SoftwareApplication + FAQPage structured data on product pages targeting evaluation queries.
Based on audit of enghousevideo.com · Oct 7, 2026