AI Visibility
measured18/100
Emerging · in Voice AI
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
100
across 13 prompts
AI Share of Voice
100%
across 13 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Voice AI
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.
Speaktor is already well-positioned for AI citation on evaluation and conversion queries because it has first-party, competitor-specific comparison pages (e.g., ElevenLabs vs Speaktor, Murf AI vs Speaktor) and a publicly crawlable pricing page with explicit tiers and prices. The biggest risk is that AI engines may not be able to reliably cite Speaktor for structured evaluation queries (SoftwareApplication/FAQPage/aggregate rating signals) because schema/AI-crawler directives (robots.txt/llms.txt) could not be verified via live checks.
Based on audit of speaktor.com · Oct 7, 2026