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

58

Growing Presence

Avg Prompt Score

60

across 16 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
2 brand-level
Cited100%2/2
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus—
Competitors0.5avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited25%1/4
Share of voice25%avg
Engine consensus—
Competitors0.0avg/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.

Executive summary

Workiva is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (e.g., 2,141 G2 reviews) and an active Gartner Peer Insights review page. The single highest-ROI fix is to improve first-party evaluation content for AI (especially SoftwareApplication/FAQPage structured Q&A and crawlable pricing/comparison surfaces), since pricing and schema crawlability signals appear weak from search results.

Based on audit of workiva.com · Jun 4, 2026

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