AI Visibility
measured31/100
Emerging · in AI Coding
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals22/100
Weak fundamentals
Avg Prompt Score
20
across 190 prompts
AI Share of Voice
20%
across 190 prompts
Critical Issues
5
critical + high
Shortlist Position
13/80
Niche · Ai Coding 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
Devin surfaces in 13/80 Ai Coding discovery prompts. Claim this profile to see which 67 prompts you're missing and how to win them.
Cognition.ai is already cited for discovery queries like “good AI coding platforms for small teams in startups” (Claude/ChatGPT), but it’s at high risk of being omitted from evaluation shortlists for buyer-specific prompts (e.g., “top AI coding tools for a 5-person development team” and “best AI coding software for freelancers”). The single highest-ROI fix is to add crawlable, first-party evaluation content (SoftwareApplication + FAQPage + brand-led comparison pages) that explicitly maps Devin to company-size/persona use cases—so AI engines can cite it for those missing queries.
Based on audit of cognition.ai · May 7, 2026