Mention rate
Share of completed prompts in which the company was explicitly mentioned.
AIIStack AI visibility
Measure the answers buyers receive
A versioned prompt panel measures which tracked companies appear in category-neutral, buyer-intent model answers. It is evidence of a specific answer at a specific time—not a claim of global AI rank or company quality.
Evidence collecting
Version 1 · 5 buyer-intent prompts · refreshes every 7 days.
Top-three rate
Share of completed prompts in which the company was explicitly recommended in the top three.
No target injection
The model receives the buyer prompt, not an AIIStack company list or a prompt to mention targets.
AI buying recommendations
Current panel results
No provider answer has been captured yet. Scores remain withheld until all five prompts complete.
Partial panel
The prompt panel is ready
Connect the server-only provider key and the bounded worker will collect one answer every two hours until the panel is complete.
Prompt methodology
The questions being measured
01
Platform evaluationWhat AI platforms should a startup evaluate for building a production-grade generative AI product? Give a concise ranked shortlist and explain the fit of each option.
02
RAG evaluationWhat tools should an engineering team evaluate for building a reliable production RAG application? Give a concise ranked shortlist and explain the fit of each option.
03
Vector database evaluationWhich vector database products should a team evaluate for a production AI search or retrieval system? Give a concise ranked shortlist and explain the fit of each option.
04
Inference evaluationWhich platforms should a team evaluate for high-performance LLM inference in production? Give a concise ranked shortlist and explain the fit of each option.
05
Developer platform evaluationWhich AI developer platforms should an engineering team evaluate to build, observe, and ship AI applications? Give a concise ranked shortlist and explain the fit of each option.