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

0

Limited Presence

Avg Prompt Score

1

across 286 prompts

AI Share of Voice

1%

across 286 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
162 category
Cited2%4/162
Share of voice2%avg
Engine consensus33%of engines
Competitors7.5avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited0%0/4
Share of voice0%avg
Engine consensus—
Competitors—
Sentiment—no data
🛡️Trust
4 brand-level
Cited25%1/4
Share of voice8%avg
Engine consensus33%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited0%0/4
Share of voice0%avg
Engine consensus—
Competitors—
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 FireMon is visible in

2
  • Cloud Securitynot yet measured→
  • Vulnerability Managementnot yet measured→

Executive summary

FireMon is likely to be cited by AI engines for evaluation-stage queries because it has meaningful third-party review presence (e.g., TrustRadius 113 reviews and Gartner Peer Insights with 47 reviews overall) and strong LinkedIn authority (20,428 followers). The single highest-ROI fix is to improve crawlable evaluation content on firemon.com—specifically first-party, brand-led comparison/evaluation pages and crawlable pricing—so AI engines can cite FireMon directly for “vs/alternatives/pricing” prompts rather than relying on third parties.

Based on audit of firemon.com · May 7, 2026

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