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

5

Limited Presence

Avg Prompt Score

5

across 289 prompts

AI Share of Voice

5%

across 289 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
162 category
Cited2%4/162
Share of voice2%avg
Engine consensus33%of engines
Competitors6.3avg/cited
Sentiment—no data
⚖️Evaluation
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/cited
Sentiment—no data
💰Conversion
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus100%of engines
Competitors5.0avg/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 Terryberry is visible in

2
  • Benefits Administrationnot yet measured→
  • Performance Managementnot yet measured→

Executive summary

Terryberry is a B2B employee engagement/recognition platform and already has strong AI-citation inputs from G2 (180 reviews, 4.6/5). The biggest risk for AI engines is evaluation-stage citation for “vs/alternatives” and conversion-stage citation for pricing: the site has first-party comparison-style content (e.g., “Achievers alternatives”), but live search did not confirm crawlable first-party “[Terryberry] vs [Competitor]” pages or a dedicated, tiered pricing page on terryberry.com that AI can reliably extract. Highest-ROI fix: add/ensure crawlable, SSR first-party evaluation pages that explicitly lead with Terryberry in “[Terryberry] vs [Competitor]” format and implement SoftwareApplication/FAQPage/Offer schema on those pages and on a dedicated, tiered pricing page.

Based on audit of terryberry.com · May 6, 2026

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