AI Visibility
measured19/100
Emerging · in AI Coding
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals3/100
Weak fundamentals
Avg Prompt Score
10
across 175 prompts
AI Share of Voice
10%
across 175 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in AI Coding
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.
Per-stage performance
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.
Categories OpenHands is visible in
2Executive summary
OpenHands is already strongly cited for evaluation-stage “best AI coding assistants” queries via its G2 presence (21 reviews, 4.4★) and active third-party discussion (notably Reddit). The highest-ROI fix is to add/expand first-party, brand-led comparison pages for Gemini, Replit, Claude, GitHub Copilot, and Harness Platform—because without them, AI engines must rely on third-party comparison content for the exact “How does OpenHands compare to …?” prompts.
Based on audit of openhands.dev · Oct 5, 2026