[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Heroku Postgres
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

58

Growing Presence

Avg Prompt Score

66

across 16 prompts

AI Share of Voice

100%

across 16 prompts

Critical Issues

5

critical + high

Brand Accuracy

3/48

citations with inaccuracies

Per-stage performance

🔍Discovery
no prompts at this stage
—
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus100%of engines
Competitors2.4avg/cited
Sentimentpositive12+ / 12~ / 0−
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors3.0avg/cited
Sentimentpositive4+ / 8~ / 0−
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors1.5avg/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.

Executive summary

Heroku is very likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (e.g., TrustRadius 178 reviews and Gartner Peer Insights 73 ratings) and a publicly crawlable pricing page with specific dyno tiers. The single highest-ROI fix is to strengthen first-party evaluation content for comparison/evaluation queries (e.g., explicit “[Heroku] vs [Competitor]” pages and FAQ-style evaluation blocks) so AI engines can cite Heroku’s own reasoning instead of relying mainly on third-party review sources.

Based on audit of heroku.com · May 4, 2026

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