[unCited]
ProductCitation IndexAI InfluenceBlogBook
[unCited]/FortiADC and FortiGSLB
ProductCitation IndexAI InfluenceBlogBook
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AEO Score

58

Growing Presence

Avg Prompt Score

5

across 196 prompts

AI Share of Voice

0%

across 180 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
182 brand-level
Cited1%2/182
Share of voice1%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus—
Competitors0.8avg/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
Cited75%3/4
Share of voice75%avg
Engine consensus—
Competitors0.7avg/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 FortiADC and FortiGSLB is visible in

2
  • Endpoint Protectionnot yet measured→
  • SIEMnot yet measured→

Executive summary

Fortinet is highly likely to be cited by AI engines for B2B security evaluation queries because it has strong third-party review presence (e.g., G2 shows 1,392 reviews and 4.5/5 for Fortinet overall) and strong analyst/enterprise signals (e.g., Gartner Peer Insights Customers’ Choice recognition). The single highest-ROI fix is to improve first-party evaluation/citation surfaces for “Fortinet vs competitor” and “Fortinet pricing” queries—right now, Fortinet’s first-party comparison is a generic product-compare tool and pricing appears to be partner/contact-driven for many SKUs, which reduces direct citation eligibility.

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

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