[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Quantive Results
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

63

Growing Presence

Avg Prompt Score

95

across 127 prompts

AI Share of Voice

100%

across 110 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
80 category
Cited100%80/80
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
10 brand-level
Cited100%10/10
Share of voice100%avg
Engine consensus100%of engines
Competitors2.1avg/cited
Sentiment—no data
🛡️Trust
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors2.2avg/cited
Sentiment—no data
💰Conversion
7 brand-level
Cited100%7/7
Share of voice100%avg
Engine consensus100%of engines
Competitors2.6avg/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

Quantive is likely to be cited by AI engines for OKR/strategy-execution evaluation queries because it has strong G2 review volume (203 reviews, 4.6 rating) and active third-party ecosystem presence (e.g., HubSpot marketplace and Zapier integrations). The single highest-ROI fix is to add/expand first-party evaluation surfaces—especially crawlable, brand-led comparison pages and SoftwareApplication/FAQPage structured data—so AI can cite Quantive directly for “vs/alternatives/pricing” queries.

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

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