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

72

Strong Presence

Avg Prompt Score

28

across 396 prompts

AI Share of Voice

29%

across 396 prompts

Critical Issues

2

critical + high

Brand Accuracy

2/63

citations with inaccuracies

Per-stage performance

🔍Discovery
251 category
Cited32%81/251
Share of voice32%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
11 brand-level
Cited100%11/11
Share of voice100%avg
Engine consensus100%of engines
Competitors2.6avg/cited
Sentimentpositive16+ / 11~ / 0−
🛡️Trust
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.8avg/cited
Sentimentpositive6+ / 6~ / 0−
💰Conversion
5 brand-level
Cited80%4/5
Share of voice100%avg
Engine consensus100%of engines
Competitors2.3avg/cited
Sentimentneutral1+ / 11~ / 0−

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 Laserfiche is visible in

2
  • Contract Lifecycle Managementnot yet measured→
  • Digital Asset Managementnot yet measured→

Executive summary

Laserfiche is highly likely to be cited by AI engines for evaluation and trust queries because it has strong third-party review authority (e.g., 1,247 reviews on G2) and clear, crawlable pricing tiers on its own site. The biggest remaining citation risk is conversion-stage “pricing/plan” and evaluation-stage “SoftwareApplication/FAQ” structured extraction—specifically, ensuring schema coverage and crawlability for the pages AI needs to quote.

Based on audit of laserfiche.com · Aug 3, 2026

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