AI Visibility
measured26/100
Emerging · in PDF Tools
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals51/100
Some gaps
Avg Prompt Score
3
across 696 prompts
AI Share of Voice
2%
across 680 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in PDF Tools
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.
Docparser is already well-positioned for AI citation in evaluation-stage queries via strong G2 presence (52–53 reviews surfaced on G2) and publicly crawlable, tiered pricing. The biggest risk pattern is conversion-stage citation for “Docparser pricing / plans” and evaluation-stage “Docparser vs competitor” queries if AI can’t reliably extract structured product/pricing signals (e.g., SoftwareApplication/FAQPage) from first-party pages.
Based on audit of docparser.com · Aug 29, 2026