AI Visibility
measured55/100
Frequently Cited · in Image Generation
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals1/100
Weak fundamentals
Avg Prompt Score
19
across 843 prompts
AI Share of Voice
19%
across 843 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Image Generation
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.
OpenAI is highly likely to be cited by AI engines for evaluation-stage queries (e.g., “OpenAI API reviews/ratings”, “OpenAI API alternatives”) because it has strong third-party review presence on G2 and TrustRadius and a substantial Gartner Peer Insights footprint. The single highest-ROI fix is to add/strengthen first-party, crawlable evaluation/comparison surfaces (e.g., “OpenAI vs X” pages that clearly recommend OpenAI first) and ensure structured data coverage for evaluation queries, because first-party comparison/pricing semantics are still the main citation bottleneck for “vs/alternatives/pricing” patterns.
Based on audit of openai.com · May 8, 2026