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

40

Growing Presence

Avg Prompt Score

42

across 16 prompts

Critical Issues

5

critical + high

Per-stage performance

🔍Discovery
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited25%1/4
Share of voice25%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.

Executive summary

Seceon is a B2B cybersecurity platform (aiSIEM/aiXDR/aiMSSP) with meaningful G2 presence (67 reviews on a product page) and active case-study/whitepaper content, so it can be cited for evaluation-stage queries. The biggest AI-citation risk is missing/unclear first-party evaluation surfaces (notably crawlable pricing and robust, indexable comparison pages) plus likely thin structured data/technical AEO signals; the single highest-ROI fix is to ensure pricing + evaluation pages are SSR-crawlable and backed by SoftwareApplication/FAQPage schema so AI engines can quote them for “pricing” and “vs/alternatives” prompts.

Based on audit of seceon.com · May 14, 2026

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