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

72

Strong Presence

Avg Prompt Score

9

across 332 prompts

AI Share of Voice

6%

across 316 prompts

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
304 brand-level
Cited7%20/304
Share of voice2%avg
Engine consensus33%of engines
Competitors14.5avg/cited
Sentiment—no data
⚖️Evaluation
11 brand-level
Cited100%11/11
Share of voice100%avg
Engine consensus100%of engines
Competitors1.7avg/cited
Sentiment—no data
🛡️Trust
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors2.0avg/cited
Sentiment—no data
💰Conversion
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus100%of engines
Competitors1.6avg/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 Foxit PDF SDK is visible in

2
  • PDF Tools12 of 56→
  • Developer Toolsnot yet measured→

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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