[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Pinecone
ProductCitation IndexAI InfluenceBlogBook
Claim profile →

AEO Score

25

Limited Presence

Avg Prompt Score

52

across 782 prompts

AI Share of Voice

52%

across 782 prompts

Critical Issues

6

critical + high

Shortlist Position

41/80

Challenger · Ai Infrastructure Discovery

Per-stage performance

🔍Discovery
567 category
Cited72%408/567
Share of voice53%avg
Engine consensus51%of engines
Competitors24.6avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data

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 Pinecone is visible in

2
  • AI Infrastructure3 of 82→
  • Vector Databases3 of 22→

Your visibility gap

Pinecone surfaces in 41/80 Ai Infrastructure discovery prompts. Claim this profile to see which 39 prompts you're missing and how to win them.

Claim Pinecone →

Executive summary

Pinecone is already cited by AI for core “AI infrastructure” discovery prompts (e.g., training/deploying models and leading cloud infrastructure tools), and it has a meaningful G2 review footprint (39 reviews, 4.6 on G2). The biggest citation risk is evaluation-stage coverage for the specific buyer roles you listed (CRO/CFO/VP Eng/Systems Admin/etc.)—without role-and-JTBD-specific pages (and crawlable structured data), AI engines have fewer first-party surfaces to cite for those missing queries.

Based on audit of pinecone.io · May 6, 2026

Built for The Citation Economy