[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Scrut Automation
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

9

Limited Presence

Avg Prompt Score

24

across 323 prompts

AI Share of Voice

24%

across 323 prompts

Category Visibility

#18

in Compliance Automation · of 131

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
178 category
Cited29%52/178
Share of voice22%avg
Engine consensus35%of engines
Competitors7.9avg/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 voice92%avg
Engine consensus92%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 Scrut Automation is visible in

2
  • Compliance Automation18 of 131→
  • GRC Platforms64 of 94→

Executive summary

Scrut is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (e.g., G2 shows 1,299+ reviews with ~4.9/5) and active comparison content on its own domain. The single highest-ROI fix is to make pricing and evaluation assets more directly crawlable (public, tiered pricing + SoftwareApplication/FAQPage structured data), because pricing transparency and schema/crawlability are common blockers for conversion-stage citations.

Based on audit of scrut.io · May 7, 2026

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