AI Visibility
measured25/100
Emerging · in AI Applications
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals62/100
Some gaps
Avg Prompt Score
89
across 29 prompts
AI Share of Voice
100%
across 20 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in AI Applications
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.
Per-stage performance
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.
Executive summary
Predis.ai is already strongly citable for evaluation and conversion queries because it has 106 G2 reviews at 4.7★ and a publicly accessible pricing page with specific tiers (Core/Rise/Enterprise+). The biggest AI-citation risk is structured-data/technical AEO: the site content is crawlable, but there’s no evidence of SoftwareApplication/FAQPage/Organization JSON-LD, which limits how reliably AI engines can extract “what it is / who it’s for / pricing” for high-intent prompts.
Based on audit of predis.ai · Oct 4, 2026