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

68

Strong Presence

Avg Prompt Score

87

across 57 prompts

AI Share of Voice

93%

across 43 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
41 category
Cited100%41/41
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
6 brand-level
Cited67%4/6
Share of voice67%avg
Engine consensus—
Competitors0.8avg/cited
Sentiment—no data
🛡️Trust
3 brand-level
Cited100%3/3
Share of voice100%avg
Engine consensus—
Competitors0.7avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited80%4/5
Share of voice80%avg
Engine consensus—
Competitors1.0avg/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

SafetyCulture is very likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review authority (e.g., G2 shows hundreds of reviews and Capterra shows 253 reviews). The highest-ROI fix is to strengthen first-party evaluation surfaces: add/expand crawlable first-party “[SafetyCulture] vs [Competitor]” pages and ensure SoftwareApplication/FAQPage structured data exists on those evaluation and pricing pages so AI can cite brand-owned comparisons and pricing directly.

Based on audit of safetyculture.com · May 7, 2026

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