AI Visibility
measured57/100
Frequently Cited · in Managed AI Inference
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals25/100
Weak fundamentals
Avg Prompt Score
31
across 382 prompts
AI Share of Voice
31%
across 382 prompts
Critical Issues
7
critical + high
Shortlist Position
21/70
Challenger · Llm Hosting Discovery
How AI Visibility breaks down
in Managed AI Inference
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 Fireworks AI is visible in
2Your visibility gap
Fireworks AI surfaces in 21/70 Llm Hosting discovery prompts. Claim this profile to see which 49 prompts you're missing and how to win them.
Executive summary
Fireworks.ai is already cited for mid-funnel evaluation queries around inference speed, scalability, analytics, and integrations, but it is missing from high-intent discovery questions like “What is LLM hosting software?” and “How can I ensure high availability for my language model services?”. The single highest-ROI fix is to publish a crawlable, first-party “LLM hosting software” explainer + evaluation FAQ hub that directly answers the gap queries (availability, privacy/security, deployment options, cost optimization, performance evaluation) and is structured for AI extraction.
Based on audit of fireworks.ai · May 8, 2026