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

46

Growing Presence

Avg Prompt Score

23

across 458 prompts

AI Share of Voice

24%

across 458 prompts

Category Visibility

#3

in Managed AI Inference · of 42

Critical Issues

6

critical + high

Brand Accuracy

1/137

citations with inaccuracies

Per-stage performance

🔍Discovery
232 category
Cited31%73/232
Share of voice15%avg
Engine consensus47%of engines
Competitors22.4avg/cited
Sentiment—no data
⚖️Evaluation
7 brand-level
Cited86%6/7
Share of voice95%avg
Engine consensus95%of engines
Competitors4.3avg/cited
Sentimentpositive6+ / 9~ / 0−
🛡️Trust
2 brand-level
Cited100%2/2
Share of voice100%avg
Engine consensus100%of engines
Competitors3.0avg/cited
Sentimentpositive2+ / 4~ / 0−
💰Conversion
3 brand-level
Cited100%3/3
Share of voice100%avg
Engine consensus100%of engines
Competitors3.3avg/cited
Sentimentneutral0+ / 3~ / 0−

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 Replicate is visible in

3
  • LLM Hosting2 of 43→
  • Managed AI Inference4 of 42→
  • LLM Platforms38 of 64→

Executive summary

Replicate is likely to be cited for evaluation-stage and conversion-stage queries because its pricing page is publicly accessible and crawlable (replicate.com/pricing) and it has strong AI-friendly documentation via llms.txt. The biggest AI-citation risk is evaluation queries that require first-party comparison and structured evaluation content (e.g., "How does Replicate compare to fal.ai?" / "How does Replicate compare to Hugging Face?"), where there is no clear evidence of first-party [Brand] vs [Competitor] pages on replicate.com.

Based on audit of replicate.com · May 4, 2026

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