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

7

Limited Presence

Avg Prompt Score

30

across 430 prompts

AI Share of Voice

30%

across 430 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
295 category
Cited39%115/295
Share of voice37%avg
Engine consensus44%of engines
Competitors2.6avg/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 voice100%avg
Engine consensus100%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 Trainual is visible in

2
  • Wiki & Docs32 of 44→
  • Learning Managementnot yet measured→

Executive summary

Trainual is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (1,005 reviews, 4.7/5) and a first-party comparison hub (e.g., /compare/ pages). The single highest-ROI fix is to strengthen structured data + technical AEO for evaluation/cost queries (SoftwareApplication/FAQPage/aggregateRating) and ensure pricing is fully crawlable with explicit tiers (current pricing page content appears to emphasize demo/contact for core plans).

Based on audit of trainual.com · May 6, 2026

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