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

72

Strong Presence

Avg Prompt Score

72

across 16 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
no prompts at this stage
—
⚖️Evaluation
8 brand-level
Cited100%8/8
Share of voice100%avg
Engine consensus—
Competitors0.5avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.5avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.8avg/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

Foxit is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 review volume (3,614+ reviews) and first-party comparison pages (e.g., Foxit vs Adobe Acrobat, Foxit vs Nitro). The single highest-ROI fix is to add/verify B2B-ready structured data (SoftwareApplication + FAQPage targeting evaluation/pricing queries) so AI engines can cite Foxit’s own pages for “pricing” and “vs/alternatives” answers instead of relying more on third-party review sources.

Based on audit of foxit.com · Jun 4, 2026

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