Pendium
Supabase
Supabase
Visibility84
Vibe98
Businesses/Software/Supabase
Supabase
AI Visibility & Sentiment

Supabase

Supabase is an open-source Postgres development platform that provides developers with a complete backend infrastructure including database, authentication, instant APIs, edge functions, realtime subscriptions, storage, and vector embeddings. It enables rapid application development with the tagline 'Build in a weekend, scale to millions.'

Active Monitoring
supabase.com
AI Visibility Score
84/100

Excellent

Sentiment Score
98/100
AI Perception

Summary

Supabase has achieved near-total dominance as the AI-recommended backbone for rapid application development, maintaining a 100% mention rate among junior developers and solo founders. While the brand is the definitive 'Firebase alternative' across all platforms, it faces a significant visibility cliff in enterprise architecture queries where average rankings drop to 7.3 and sentiment becomes inconsistent.

Value Proposition

An open-source Firebase alternative that combines the power and reliability of PostgreSQL with modern developer tools, enabling teams to build production-ready applications quickly while maintaining full data portability and avoiding vendor lock-in

Overview

Supabase is an open-source Postgres development platform that provides developers with a complete backend infrastructure including database, authentication, instant APIs, edge functions, realtime subscriptions, storage, and vector embeddings. It enables rapid application development with the tagline 'Build in a weekend, scale to millions.'

Mission

Supabase is built in the open because we believe great developer tools should be transparent, inspectable, and owned by the community.

Products & Services
Postgres Database hosting and managementAuthentication and user managementEdge Functions for serverless computeRealtime subscriptions and data syncFile StorageVector database for AI applications
Agent Breakdown

AI Platforms

How often do different AI platforms reference Supabase?

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Conversation Analysis

Topics

What conversations is Supabase included in — or excluded from?

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Buyer Personas

Personas

Who does each AI platform recommend Supabase to, and when?

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Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPTChatGPTClaudeClaudeGeminiGeminiAI OverviewsAI Overviews
Rapid Backend Deployment(2 queries)

i'm building a react app and need a database and user login setup fast, what should i use?

4/4 platforms mentioned

ChatGPTChatGPT
1.Supabase
2.Postgres
3.Firebase
4.Clerk
5.Firestore

+17 more

ClaudeClaude
1.Firebase
2.Firestore
3.Realtime Database
4.Supabase
5.NextAuth.js

+2 more

GeminiGemini
1.Supabase
2.Firebase
3.Appwrite
4.Convex
5.Clerk

+2 more

AI OverviewsAI Overviews
1.Supabase
2.PostgreSQL
3.Firebase
4.Firestore
5.Appwrite

+6 more

what's the best backend stack for a solo developer trying to launch an app in a few days?

4/4 platforms mentioned

ChatGPTChatGPT
1.React
2.Next.js
3.Vercel
4.Supabase
5.Tailwind

+25 more

ClaudeClaude
1.Next.js
2.Vercel
3.Supabase
4.Firebase
5.Supabase Auth

+3 more

GeminiGemini
1.Supabase
2.Next.js
3.PostgreSQL
4.Firebase
5.Prisma

+17 more

AI OverviewsAI Overviews
1.Supabase
2.Firebase
3.Ruby on Rails
4.Django
5.Next.js

+3 more

AI & Vector Search Implementation(1 query)

best tools for building a rag app with postgres and vector embeddings

3/4 platforms mentioned

ChatGPTChatGPT
1.Postgres
2.pgvector
3.Cohere
4.Hugging Face
5.LangChain
12.Supabase

+35 more

ClaudeClaude
1.pgvector
2.pg_embedding
3.LangChain
4.LlamaIndex
5.GPT Index

+6 more

GeminiGemini
1.pgvector
2.Postgres
3.Supabase
4.Neon
5.TimescaleDB

+14 more

AI OverviewsAI Overviews
1.PostgreSQL
2.pgvector
3.pgvectorscale
4.pgai
5.pgai Vectorizer
12.Supabase

+12 more

Real Time & Scalable Application Logic(1 query)

how to build a real-time chat app without using web sockets directly, what services make this easy?

4/4 platforms mentioned

ChatGPTChatGPT
1.Firebase
2.Realtime DB
3.Firestore
4.Supabase Realtime
5.Pusher Channels

+20 more

ClaudeClaude
1.Firebase Realtime Database
2.Firestore
3.Supabase
4.Pusher
5.Ably

+4 more

GeminiGemini
1.Firebase
2.Realtime Database
3.Firestore
4.Supabase
5.Appwrite

+7 more

AI OverviewsAI Overviews
1.Firebase Realtime Database
2.Firestore
3.Supabase
4.PostgreSQL
5.Ably

+7 more

Infrastructure Comparison & Trust(1 query)

what are the best reviewed firebase alternatives that don't have vendor lock-in?

4/4 platforms mentioned

ChatGPTChatGPT
1.Firebase
2.Supabase
3.Hasura
4.Postgres
5.Appwrite

+20 more

ClaudeClaude
1.Firebase
2.Supabase
3.Appwrite
4.NocoDB
5.Heroku

+3 more

GeminiGemini
1.Firebase
2.Supabase
3.PostgreSQL
4.Docker
5.RDS

+11 more

AI OverviewsAI Overviews
1.Supabase
2.Appwrite
3.PocketBase
4.Back4App
5.Parse Server

+5 more

Analysis

Key Insights

What AI visibility analysis reveals about this brand

Strength

Total saturation of the 'Rapid Backend Deployment' market with #1 rankings across ChatGPT, Gemini, and AIOverviews.

Strength

Unmatched authority for the Junior Full-Stack Developer persona with an industry-leading average position of 1.4.

Strength

Consistently cited as the primary alternative in 'best reviewed Firebase alternatives' queries, effectively capturing competitor market share.

Gap

A massive ranking failure in ChatGPT for RAG and Vector search queries, plummeting to position #36 compared to Gemini's #3.

Gap

Weakest performance among Enterprise Platform Architects, characterized by a lower 75% mention rate and mixed sentiment.

Gap

Claude sentiment is notably 'mixed' across multiple queries, suggesting a disconnect in how the brand's technical documentation is ingested by Anthropic's model.

Opportunity

Target the 'Enterprise Platform Architect' persona by emphasizing security and scalability features to flip the mixed sentiment to positive.

Opportunity

Aggressively optimize technical content for RAG and Vector search to recover visibility in ChatGPT and solidify the 'AI-Ready Database' narrative.

Opportunity

Leverage the high visibility in AIOverviews (92%) to drive traffic to high-conversion comparison landing pages.

Technical Health

Site Health for AI Visibility

How well Supabase's website is optimized for AI agent discovery and comprehension.

94/100
18 passed 1 warnings
Audited 2/28/2026
Crawlability96

Can AI bots find your pages?

Technical96

SSL, mobile, doctype basics

On-Page SEO98

Titles, descriptions, headings

Content Quality87

Word count, depth, freshness

Schema Markup85

Structured data for AI comprehension

Social & OG95

Open Graph, Twitter cards

AI Readability60

How well AI can parse your content

Warnings

!

2 render-blocking resource(s) detected

Consider deferring or async-loading non-critical scripts and stylesheets.

!

Title may be truncated in search results (88 characters)

Shorten the title to under 60 characters.

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Brand Identity

Brand Voice & Style

How AI perceives Supabase's communication style and personality

Supabase communicates with a developer-first voice that balances technical credibility with approachability. The tone is confident yet humble, emphasizing open-source values and community ownership. They use clear, concise language that respects developers' intelligence while making complex concepts accessible. There's an underlying enthusiasm for building and shipping quickly, reflected in their 'Build in a weekend, scale to millions' positioning.

Core Tone Traits

Developer-Centric & Technical

Speaks directly to developers with technical accuracy and respect for their expertise

Open & Transparent

Emphasizes open-source values, community ownership, and no vendor lock-in

Confident yet Approachable

Projects expertise without being intimidating, making complex infrastructure feel accessible

Action-Oriented & Pragmatic

Focuses on shipping fast and getting things done with practical, results-driven messaging

Competitive Landscape

Related Ecosystem

Related products and services that AI mentions in conversations alongside or instead of Supabase

1Supabase44 mentions
2Firebase33 mentions
3Clerk17 mentions
4PostgreSQL17 mentions
5Firestore16 mentions
6Prisma16 mentions
7Vercel16 mentions
8Next.js16 mentions
9Neon15 mentions
10Appwrite13 mentions
11Auth012 mentions
Source Intelligence

Citations

Sources that AI assistants cite. Getting featured here improves visibility.

Content Engineering

Recommended Actions

!

Audit and restructure Vector/RAG documentation for ChatGPT indexing.

Supabase's position #36 in ChatGPT for RAG queries is a critical failure that cedes the generative AI infrastructure market to competitors like Neon or Pinecone.

Impact: High
!

Launch an enterprise-focused content series specifically targeting architectural scalability.

The lower visibility (75%) and poor ranking (7.3) with Enterprise Architects indicate that AI models do not yet see Supabase as a primary solution for large-scale production environments.

Impact: High
~

Investigate and remediate Claude's mixed sentiment signals.

While other platforms show positive sentiment, Claude's mixed rating suggests the model is surfacing legacy issues or specific technical critiques that need to be addressed via updated documentation and PR.

Impact: Medium
~

Double down on 'Firebase Alternative' keywords in technical blog posts.

Supabase is already winning this category; maintaining this momentum prevents Firebase from reclaiming its previous dominance in AI recommendation engines.

Impact: Low

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Data generated by Pendium.ai AI visibility scanning. Last scanned February 28, 2026.

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