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

67

Strong Presence

Avg Prompt Score

70

across 18 prompts

AI Share of Voice

100%

across 2 prompts

Critical Issues

4

critical + high

Per-stage performance

🔍Discovery
6 category
Cited100%6/6
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
⚖️Evaluation
5 brand-level
Cited100%5/5
Share of voice100%avg
Engine consensus—
Competitors0.2avg/cited
Sentiment—no data
🛡️Trust
4 brand-level
Cited100%4/4
Share of voice100%avg
Engine consensus—
Competitors0.0avg/cited
Sentiment—no data
💰Conversion
3 brand-level
Cited100%3/3
Share of voice100%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

Fishbowl is highly likely to be cited by AI engines for evaluation and trust queries because it has strong G2 presence (278 reviews) and active first-party comparison content (e.g., Fishbowl vs Oracle NetSuite) plus a publicly accessible, tiered pricing page. The single highest-ROI fix is to add/verify B2B SoftwareApplication + FAQPage structured data (and ensure it’s present on key product/pricing/comparison pages), because current live checks did not find SoftwareApplication/FAQPage/aggregateRating markers on the pricing page.

Based on audit of fishbowlinventory.com · May 7, 2026

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