[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/Seismic Knowledge
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

68

Strong Presence

Avg Prompt Score

8

across 213 prompts

AI Share of Voice

3%

across 193 prompts

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
187 brand-level
Cited0%0/187
Share of voice0%avg
Engine consensus—
Competitors—
Sentiment—no data
⚖️Evaluation
15 brand-level
Cited93%14/15
Share of voice91%avg
Engine consensus89%of engines
Competitors1.7avg/cited
Sentiment—no data
🛡️Trust
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors1.7avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited80%4/5
Share of voice80%avg
Engine consensus100%of engines
Competitors1.3avg/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 Seismic Knowledge is visible in

2
  • Knowledge Basenot yet measured→
  • Wiki & Docsnot yet measured→

Executive summary

Seismic is highly likely to be cited for sales enablement evaluation queries because it has strong G2 authority (1,636+ reviews and a 4.7★ rating per your pre-verified context) plus enterprise analyst recognition (Forrester Wave: Revenue Enablement Platforms, Q3 2024). The biggest AI-citation risk is evaluation-stage queries that require crawlable pricing and structured product metadata (e.g., “How much does Seismic cost?” and “What is the best sales enablement software for sales content management and sharing?”) because pricing appears to be demo/contact-led rather than publicly tiered.

Based on audit of seismic.com · Apr 1, 2026

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