[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Langfuse
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

15

Limited Presence

Avg Prompt Score

45

across 852 prompts

AI Share of Voice

45%

across 852 prompts

Critical Issues

4

critical + high

Shortlist Position

29/80

Challenger · Ai Infrastructure Discovery

Per-stage performance

🔍Discovery
563 category
Cited55%310/563
Share of voice41%avg
Engine consensus38%of engines
Competitors13.5avg/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 Langfuse is visible in

2
  • AI Observability4 of 56→
  • AI Infrastructure14 of 82→

Your visibility gap

Langfuse surfaces in 29/80 Ai Infrastructure discovery prompts. Claim this profile to see which 51 prompts you're missing and how to win them.

Claim Langfuse →

Executive summary

Langfuse is already cited by AI for multiple AI-infrastructure discovery prompts (e.g., CTO/Cloud Architect/Technical Lead questions) and has strong crawlable pricing with clear tiers. The biggest remaining citation blockers for high-intent evaluation queries are (1) missing/uncrawlable structured data signals (SoftwareApplication/FAQPage/ratings not discoverable via search) and (2) lack of first-party, brand-led comparison pages for the specific evaluation patterns buyers ask (training/deploying, prototyping, scaling, and director/VP-level AI governance). Highest-ROI fix: add/verify SoftwareApplication + FAQPage schema on evaluation pages and publish brand-led pages that directly answer the gap queries (e.g., “what do others use for training and deploying models?”) so AI can cite Langfuse for those roles.

Based on audit of langfuse.com · May 7, 2026

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