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

65

Strong Presence

Avg Prompt Score

60

across 16 prompts

Critical Issues

4

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
Cited50%2/4
Share of voice50%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

ABBYY is highly likely to be cited by AI engines for evaluation-stage queries because it has strong G2 presence (386 reviews, 4.5/5) and enterprise analyst recognition (Gartner Magic Quadrant Leader for 2025 IDP, plus IDC MarketScape Leader). The single highest-ROI fix is to add/expand first-party, brand-led comparison and evaluation pages (e.g., “[ABBYY product] vs [competitor]” and “alternatives to ABBYY”) that are crawlable and SSR-rendered, so AI can cite ABBYY directly for shortlist formation.

Based on audit of abbyy.com · Jun 26, 2026

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