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

0

Limited Presence

Avg Prompt Score

7

across 317 prompts

AI Share of Voice

7%

across 317 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
181 brand-level
Cited0%0/181
Share of voice0%avg
Engine consensus—
Competitors—
Sentiment—no data
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors4.7avg/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 Datalligence is visible in

2
  • OKRsnot yet measured→
  • Performance Managementnot yet measured→

Executive summary

Datalligence.ai has meaningful B2B AI citation potential because it appears on G2 with 29 reviews, and it publishes publicly crawlable pricing with per-user/per-month tiers. The biggest risk for AI engines is evaluation-stage citation: the site has many “alternatives”/comparison-style pages, but there’s no clear evidence (from live search) of first-party structured evaluation pages that are consistently indexed as “[Brand] vs [Competitor]” and no evidence of SoftwareApplication/FAQPage schema—so AI may rely on third-party sources instead of citing datalligence.ai for shortlist answers.

Based on audit of datalligence.ai · Jun 8, 2026

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