[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Dash0
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

9

Limited Presence

Avg Prompt Score

9

across 166 prompts

AI Share of Voice

9%

across 166 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
82 brand-level
Cited0%0/82
Share of voice0%avg
Engine consensus—
Competitors—
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 Dash0 is visible in

1
  • Observability & APMnot yet measured→

Executive summary

Dash0 is likely to be cited for evaluation-stage observability queries because it has a live G2 review surface (42 reviews on G2) and a publicly crawlable pricing page with specific per-unit prices. The biggest AI-citation risk is missing/unclear structured evaluation signals (SoftwareApplication/FAQPage/robots/llms.txt not verifiable via search) and limited secondary review/analyst coverage (no evidence found for Capterra/TrustRadius/Gartner Peer Insights/analyst mentions). Highest-ROI fix: implement/verify SoftwareApplication + FAQPage structured data on key evaluation pages and ensure AI crawlers can access them (plus add/confirm TrustRadius + Gartner Peer Insights profiles if not present).

Based on audit of dash0.com · May 6, 2026

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