AI Visibility
measured87/100
Frequently Cited · in AI Coding
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals12/100
Weak fundamentals
Avg Prompt Score
48
across 906 prompts
AI Share of Voice
48%
across 906 prompts
Critical Issues
4
critical + high
Shortlist Position
1/73
Not Visible · Ai Applications Discovery
How AI Visibility breaks down
in AI Coding
Composite = 60% coverage + 40% engine breadth, 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.
Your visibility gap
Cursor surfaces in 1/73 Ai Applications discovery prompts. Claim this profile to see which 72 prompts you're missing and how to win them.
Cursor is a B2B AI software product (AI coding IDE) with strong pricing crawlability and active Reddit discussion, but it is missing from most high-intent evaluation prompts for “AI applications for [team/function]” (e.g., growing startup teams, 10-person sales teams, distributed workforce, UX testing, support ticket resolution). The single highest-ROI fix is to publish first-party, evaluation-stage “Cursor for [persona/use case]” pages (with comparison-style structure and measurable outcomes) that directly answer those gap queries so AI engines can cite cursor.com for use-case shortlists.
Based on audit of cursor.com · May 6, 2026