AI Visibility
measured48/100
Frequently Cited · in Serverless & Edge
counts brand mentions in AI answers, not source citations
AEO Readiness
fundamentals58/100
Some gaps
Avg Prompt Score
18
across 1147 prompts
AI Share of Voice
17%
across 1125 prompts
Critical Issues
4
critical + high
How AI Visibility breaks down
in Serverless & Edge
Composite = 60% coverage + 40% engine breadth, measured in the brand's strongest category. Position and citation depth join the score once the aggregation pipeline captures them. This is the measured Visibility score — separate from AEO Readiness, which scores fundamentals.
Per-stage performance
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 Supabase is visible in
3Executive summary
Supabase is highly likely to be cited for category/shortlist prompts like "What is the best Vector Database software?" and "What are the best alternatives to Supabase?" because it has strong G2 presence (36 reviews, 4.7★) and active community signals (Reddit threads). The biggest AI-citation risk is evaluation-stage comparison prompts (e.g., "How does Supabase compare to Google Cloud SQL?" and "How does Supabase compare to Amazon Aurora?") due to lack of clearly indexable first-party "Supabase vs <competitor>" pages and missing/uncertain structured-data coverage for SoftwareApplication/FAQPage.
Based on audit of supabase.com · Apr 2, 2026