AI Visibility
measured33/100
Emerging · in Agent Frameworks
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals45/100
Some gaps
Avg Prompt Score
4
across 427 prompts
AI Share of Voice
4%
across 427 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Agent Frameworks
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.
QuantConnect is likely to be cited for evaluation-stage queries (e.g., “QuantConnect for algorithmic trading/backtesting”) because it has strong first-party documentation and active Reddit discussion. The biggest AI-citation risk is conversion-stage and evaluation-stage comparison/pricing extraction: G2 shows 0 reviews for QuantConnect, and first-party comparison pages and crawlable pricing tiers are not clearly evidenced from the homepage-level crawl.
Based on audit of quantconnect.com · Aug 31, 2026