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

0

Limited Presence

Avg Prompt Score

9

across 405 prompts

AI Share of Voice

9%

across 405 prompts

Category Visibility

#48

in FP&A · of 96

Critical Issues

4

critical + high

Shortlist Position

0/80

Not Visible · Business Intelligence Discovery

Per-stage performance

🔍Discovery
215 category
Cited12%25/215
Share of voice9%avg
Engine consensus33%of engines
Competitors5.4avg/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
Competitors4.3avg/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 Drivetrain is visible in

3
  • FP&A49 of 96→
  • Business Intelligencenot yet measured→
  • Revenue Operationsnot yet measured→

Your visibility gap

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Executive summary

Drivetrain is strongly positioned for evaluation-stage FP&A queries because it has a high-signal G2 presence (113 reviews, 4.8★) and first-party comparison content like “Why choose Drivetrain vs. Planful?” plus competitor-specific review posts. The biggest AI-citation risk is conversion-stage and structured-data visibility: pricing is not publicly tiered (custom proposal) and SoftwareApplication/FAQPage/Software schema signals were not found, which limits how often AI engines can cite “pricing” and “best for budgeting and forecasting” style answers from drivetrain.ai itself.

Based on audit of drivetrain.ai · Jun 5, 2026

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