AI Visibility
measured35/100
Emerging · in LLM Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
100
across 18 prompts
AI Share of Voice
100%
across 18 prompts
Critical Issues
5
critical + high
How AI Visibility breaks down
in LLM Platforms
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.
Sudowrite is likely to be cited for “best AI writing tool for fiction writers” style queries, supported by active Reddit discussion and a clearly crawlable pricing page with tiered credits/prices. The biggest AI-citation risk is evaluation-stage structured extractability: there’s evidence of FAQPage schema on some pages, but no clear SoftwareApplication/aggregate rating signals were found, and first-party “vs/alternatives” pages appear to be blog-style rather than dedicated evaluation surfaces.
Based on audit of sudowrite.com · Oct 3, 2026