AI Visibility
measured42/100
Frequently Cited · in LLM Platforms
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals10/100
Weak fundamentals
Avg Prompt Score
28
across 532 prompts
AI Share of Voice
28%
across 532 prompts
Critical Issues
5
critical + high
Shortlist Position
0/25
Not Visible · Ai Agent Builders Discovery
How AI Visibility breaks down
in LLM Platforms
Composite = 60% coverage + 40% engine breadth, 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 Gemini API is visible in
3Your visibility gap
Gemini API surfaces in 0/25 Ai Agent Builders discovery prompts. Claim this profile to see which 25 prompts you're missing and how to win them.
Executive summary
ai.google.dev is likely to be cited for agent-building *how-to* and tool-use queries, but it is effectively invisible for buyer shortlist patterns like “best AI agent frameworks that support function calling and external API integration” and “top open-source frameworks for creating AI agents with tool use and memory” (0/25 discovery prompts). The single highest-ROI fix is to publish first-party, evaluation-stage “best framework” and “frameworks vs alternatives” pages that explicitly map to function calling/tool use/memory and are crawlable/SSR with SoftwareApplication/FAQPage-style structured Q&A blocks.
Based on audit of ai.google.dev · May 8, 2026