AI Visibility
measured16/100
Emerging · in Content & Knowledge
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals42/100
Some gaps
Avg Prompt Score
8
across 163 prompts
AI Share of Voice
8%
across 163 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Content & Knowledge
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.
Spreaker is likely to be cited by AI engines for podcast-hosting evaluation queries mainly via third-party review platforms (notably G2 and Capterra), but it is weak for conversion-stage and structured evaluation queries because first-party pricing/structured evaluation surfaces are not clearly crawlable/AI-citable from the homepage/pricing path. The single highest-ROI fix is to publish/ensure a crawlable, server-rendered pricing page and add SoftwareApplication/FAQPage structured data so AI can answer “pricing” and “evaluation” prompts directly from spreaker.com.
Based on audit of spreaker.com · Oct 8, 2026