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ProductCitation IndexBlogBook
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ProductCitation IndexBlogBook
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AEO Score

64

Growing Presence

Avg Prompt Score

66

across 17 prompts

AI Share of Voice

100%

across 1 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
3 prompts
Cited100%3/3
Share of voice100%avg
Engine consensus0%of engines
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
5 prompts
Cited100%5/5
Share of voice100%avg
Engine consensus0%of engines
Competitors0.2avg/cited
Sentiment—no data
🛡️Trust
4 prompts
Cited100%4/4
Share of voice100%avg
Engine consensus0%of engines
Competitors0.3avg/cited
Sentiment—no data
💰Conversion
4 prompts
Cited50%2/4
Share of voice50%avg
Engine consensus0%of engines
Competitors0.5avg/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

Flexera is highly likely to be cited by AI engines for evaluation-stage queries because it has strong third-party review presence (e.g., G2 shows 62 reviews for Flexera) and first-party comparison pages like “Flexera vs. USU” and “Flexera vs. Lansweeper.” The single highest-ROI fix is to improve conversion-stage crawlability by publishing a truly crawlable, public pricing page (tiers/prices) and pairing it with SoftwareApplication/FAQPage structured data so AI can answer “how much does Flexera cost?” without relying on third parties.

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

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