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

4

Limited Presence

Avg Prompt Score

19

across 178 prompts

AI Share of Voice

19%

across 178 prompts

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
104 category
Cited13%14/104
Share of voice12%avg
Engine consensus33%of engines
Competitors6.4avg/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 Deepchecks is visible in

2
  • AI Observability34 of 56→
  • AI Model Monitoringnot yet measured→

Executive summary

Deepchecks is a B2B AIOps/LLM evaluation & production monitoring platform with strong G2 presence (21 reviews, 4.4★) and publicly crawlable pricing pages (e.g., /pricing/ and /monitoring-pricing/). The biggest AI-citation risk is evaluation-stage comparison intent: there is no clear first-party “[Deepchecks] vs Datadog/Dynatrace” page structure found, so models must rely on third-party sources for “How does Deepchecks compare to Datadog?” and “How does Deepchecks compare to Dynatrace?”.

Based on audit of deepchecks.com · Jun 7, 2026

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