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

72

Strong Presence

Avg Prompt Score

79

across 595 prompts

AI Share of Voice

80%

across 577 prompts

Category Visibility

#12

in Business Intelligence · of 148

Critical Issues

3

critical + high

Per-stage performance

🔍Discovery
451 category
Cited87%393/451
Share of voice85%avg
Engine consensus51%of engines
Competitors1.4avg/cited
Sentiment—no data
⚖️Evaluation
11 brand-level
Cited73%8/11
Share of voice73%avg
Engine consensus100%of engines
Competitors0.9avg/cited
Sentiment—no data
🛡️Trust
5 brand-level
Cited60%3/5
Share of voice60%avg
Engine consensus100%of engines
Competitors1.7avg/cited
Sentiment—no data
💰Conversion
6 brand-level
Cited100%6/6
Share of voice100%avg
Engine consensus100%of engines
Competitors1.7avg/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 Metabase is visible in

1
  • Business Intelligence12 of 148→

Executive summary

Metabase is highly likely to be cited by AI engines for BI evaluation queries because it has strong primary review authority (G2: 140 reviews, 4.4★) and first-party comparison landing pages (e.g., Metabase vs. Looker / Tableau / Power BI). The biggest remaining citation risk is structured-data completeness (SoftwareApplication/FAQPage/ratings) and ensuring pricing + comparison content is fully crawlable/SSR for AI crawlers; the single highest-ROI fix is to add/verify SoftwareApplication + FAQPage schema across evaluation and pricing pages so models can confidently answer “how much does Metabase cost?” and “Metabase vs [competitor]” with first-party citations.

Based on audit of metabase.com · Apr 2, 2026

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