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

66

Strong Presence

Avg Prompt Score

14

across 572 prompts

AI Share of Voice

14%

across 572 prompts

Critical Issues

7

critical + high

Per-stage performance

🔍Discovery
424 category
Cited27%115/424
Share of voice16%avg
Engine consensus53%of engines
Competitors39.2avg/cited
Sentiment—no data
⚖️Evaluation
6 brand-level
Cited100%6/6
Share of voice67%avg
Engine consensus67%of engines
Competitors0.0avg/cited
Sentiment—no data
🛡️Trust
1 brand-level
Cited100%1/1
Share of voice67%avg
Engine consensus67%of engines
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
1 brand-level
Cited100%1/1
Share of voice67%avg
Engine consensus67%of engines
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.

Categories Capterra is visible in

1
  • Software Marketplace1 of 6→

Citation source profile

Review aggregator — scored as citation source, not software buyer

Capterra is highly likely to be cited by AI engines for evaluation and discovery prompts because it hosts first-party comparison tooling (e.g., /compare/) and extensive review content. The single highest-ROI fix is to ensure first-party, brand-led comparison pages explicitly covering the exact evaluation prompts (e.g., "How does Capterra compare to G2?" and "How does Capterra compare to TrustRadius?") are crawlable and structured as self-contained answer blocks; this unlocks the evaluation-stage query pattern that AI models use for shortlist formation.

Based on audit of capterra.com · Apr 16, 2026

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