REPOGEO REPORT · LITE

postgres-ai/database-lab-engine

Default branch master · commit 13747089 · scanned 5/24/2026, 11:31:33 AM

GitHub: 2,461 stars · 72 forks

AI VISIBILITY SCORE

27 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface postgres-ai/database-lab-engine, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Strengthen README's opening statement to highlight instant cloning

Why:

CURRENT

⚡ Blazing-fast PostgreSQL cloning and branching 🐘

COPY-PASTE FIX

⚡ Blazing-fast PostgreSQL cloning and branching for instant, full-size, writable database copies 🐘

mediumtopics#2

Add topics for core technical differentiators

Why:

CURRENT

branching, ci, ci-cd, cicd, cloning, database, database-branching, database-migration, database-migrations, database-schema, database-schema-evolutions, database-schema-migration, pgsql, postgres, postgresql, sql

COPY-PASTE FIX

branching, ci, ci-cd, cicd, cloning, copy-on-write, database, database-branching, database-migration, database-migrations, database-schema, database-schema-evolutions, database-schema-migration, dev-test-environments, pgsql, postgres, postgresql, sql, thin-cloning, zfs, lvm

lowabout#3

Refine 'About' description for clearer problem statement

Why:

CURRENT

DBLab enables 🖖 database branching and ⚡️ thin cloning for any Postgres database and empowers DB testing in CI/CD. This optimizes database-related costs while improving time-to-market and software quality. Follow to stay updated.

COPY-PASTE FIX

DBLab enables 🖖 instant database branching and ⚡️ thin cloning for any Postgres database, solving slow and resource-intensive provisioning of full-size copies for non-production environments and empowering DB testing in CI/CD. This optimizes database-related costs while improving time-to-market and software quality. Follow to stay updated.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface postgres-ai/database-lab-engine

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Neon

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

Neon · recommended 2×
Flyway · recommended 2×
Liquibase · recommended 2×
Docker · recommended 1×
Testcontainers · recommended 1×

CATEGORY QUERY
How can I efficiently create isolated PostgreSQL database copies for CI/CD testing?
you: not recommended
AI recommended (in order):
1. Docker
2. Testcontainers
3. ElephantSQL
4. Neon
5. Supabase
6. pg_dump
7. pg_restore
8. pg_basebackup
9. Flyway
10. Liquibase
11. Alembic
12. Delphix
13. DataOps.live
AI recommended 13 alternatives but never named postgres-ai/database-lab-engine. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools enable fast, cost-effective database branching for PostgreSQL development and testing environments?
you: not recommended
AI recommended (in order):
1. Neon
2. Dolthub
3. Database Lab Engine
4. Squash
5. GitLab
6. Docker Compose
7. Kubernetes
8. Flyway
9. Liquibase
10. Sqitch
AI recommended 10 alternatives but never named postgres-ai/database-lab-engine. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of postgres-ai/database-lab-engine?
pass
AI did not name postgres-ai/database-lab-engine — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts postgres-ai/database-lab-engine in production, what risks or prerequisites should they evaluate first?
pass
AI named postgres-ai/database-lab-engine explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo postgres-ai/database-lab-engine solve, and who is the primary audience?
pass
AI did not name postgres-ai/database-lab-engine — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of postgres-ai/database-lab-engine. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

<a href="https://repogeo.com/en/r/postgres-ai/database-lab-engine"><img src="https://repogeo.com/badge/postgres-ai/database-lab-engine.svg" alt="RepoGEO" /></a>

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite