AI Visibility
measured40/100
Frequently Cited · in Vertical SaaS
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals46/100
Some gaps
Avg Prompt Score
100
across 149 prompts
AI Share of Voice
100%
across 149 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Vertical SaaS
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.
Academia.edu is likely to be cited by AI engines for “what is Academia.edu / is it worth it” style queries because it has strong entity clarity (Wikipedia + Crunchbase) and meaningful third-party discussion (Reddit + Trustpilot). The single highest-ROI fix is to improve crawlable, first-party evaluation content (FAQ-style pages answering “is it legit / how does Premium work / pricing & billing”) so AI can cite academia.edu directly instead of relying on third-party complaints.
Based on audit of academia.edu · Oct 6, 2026