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

0

Limited Presence

Avg Prompt Score

53

across 310 prompts

AI Share of Voice

53%

across 310 prompts

Critical Issues

5

critical + high

Shortlist Position

0/80

Not Visible · Revenue Operations Discovery

Per-stage performance

🔍Discovery
205 category
Cited59%120/205
Share of voice59%avg
Engine consensus—
Competitors0.0avg/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
Competitors4.5avg/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 EcoVadis is visible in

1
  • Revenue Operationsnot yet measured→

Your visibility gap

EcoVadis surfaces in 0/80 Revenue Operations discovery prompts. Claim this profile to see which 80 prompts you're missing and how to win them.

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Executive summary

EcoVadis has strong B2B citation signals for evaluation/trust via G2 and Gartner Peer Insights, but it is unlikely to be cited for Revenue Operations software queries because its site content and structured “revenue ops” evaluation surfaces are not aligned to that buyer intent. The single highest-ROI fix is to publish SSR-crawlable, revenue-operations-specific “what it is / how it works / for who / process + forecasting” pages (and FAQPage) that directly answer the gap queries so AI engines can extract self-contained evaluation blocks.

Based on audit of ecovadis.com · Jun 8, 2026

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