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

66

Strong Presence

Avg Prompt Score

38

across 820 prompts

AI Share of Voice

37%

across 801 prompts

Category Visibility

#2

in Product Analytics · of 54

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
561 category
Cited50%283/561
Share of voice43%avg
Engine consensus54%of engines
Competitors11.6avg/cited
Sentiment—no data
⚖️Evaluation
13 brand-level
Cited85%11/13
Share of voice85%avg
Engine consensus100%of engines
Competitors1.1avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.3avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/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 Heap is visible in

3
  • Product Analytics2 of 54→
  • Marketing Analytics31 of 108→
  • Data & Analytics34 of 254→

Executive summary

Heap is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 authority (1098 reviews, 4.4★) and first-party comparison surfaces (e.g., /compare/ and /compare/heap-vs-amplitude, /compare/heap-vs-mixpanel). The single highest-ROI fix is to strengthen Structured Data + Technical AEO (SoftwareApplication/FAQPage/robots/llms.txt verification), because current web search did not surface schema evidence and AI engines often require crawlable, schema-rich pages to answer pricing and comparison prompts reliably.

Based on audit of heap.io · Apr 2, 2026

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