AEO Score
63
Growing Presence
Avg Prompt Score
31
across 773 prompts
AI Share of Voice
30%
across 753 prompts
Critical Issues
4
critical + high
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.
Databricks is highly likely to be cited by AI engines for category and evaluation queries because it has strong third-party authority (e.g., 657 G2 reviews at 4.6★) and an enterprise review footprint (Gartner Peer Insights page exists). The single highest-ROI fix is to add/ensure first-party, crawlable evaluation content that directly targets the comparison and pricing prompts (especially "How does Databricks compare to Snowflake?" and "How much does Databricks cost?") with SSR + structured Q&A blocks so AI engines can cite Databricks pages instead of only third parties.
Based on audit of databricks.com · Apr 2, 2026