REPOGEO REPORT · LITE

SouravRoy-ETL/slothdb

Default branch main · commit fcc0e468 · scanned 5/7/2026, 8:22:20 PM

GitHub: 523 stars · 3 forks

AI VISIBILITY SCORE

40 /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

3 / 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 SouravRoy-ETL/slothdb, 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

highabout#1

Clarify the 'About' description to emphasize 'embedded SQL database' and key features

Why:

CURRENT

SlothDB is an embedded SQL database that runs everywhere: on your laptop, on a server, and in the browser. Built from scratch. Up to 5x faster where it counts.

COPY-PASTE FIX

SlothDB is a high-performance embedded SQL database for analytics, running everywhere from your laptop to the browser. Built from scratch, it offers up to 5x faster queries where it counts, and supports natural language SQL.

highreadme#2

Emphasize 'natural language SQL' and 'analytics' in the README's opening statement

Why:

CURRENT

<h3>Run analytics faster.</h3> <p>SlothDB is an embedded SQL database that runs everywhere: on your laptop, on a server, and in the browser. Built from scratch. <b>Up to 5x faster</b> where it counts.</p>

COPY-PASTE FIX

<h3>SlothDB: The Embedded SQL Database for Fast Analytics and Natural Language Queries.</h3> <p>SlothDB is a high-performance embedded SQL database that runs everywhere: on your laptop, on a server, and in the browser. Built from scratch, it offers up to 5x faster queries where it counts, and uniquely supports natural language queries to generate SQL.</p>

mediumcomparison#3

Add a 'Comparison to X' section in the README

Why:

COPY-PASTE FIX

## Comparison to DuckDB and SQLite

SlothDB differentiates itself from other embedded SQL databases like DuckDB and SQLite by focusing on browser-first deployment via WASM, built-in natural language SQL capabilities, and a columnar architecture optimized for analytics. While DuckDB excels in local analytical workloads and SQLite offers unparalleled ubiquity, SlothDB aims to provide a performant, cross-platform solution with an intuitive natural language interface, especially for web-based applications and interactive data exploration.

Category GEO backends resolved for this scan: google/gemini-2.0-flash-001, deepseek/deepseek-chat

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.0-flash-001. 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 SouravRoy-ETL/slothdb

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

DuckDB

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

DuckDB · recommended 2×
SQLite · recommended 2×
SQLite-vector · recommended 1×
ClickHouse Local · recommended 1×
H2 · recommended 1×

CATEGORY QUERY
Looking for an embedded SQL database for fast analytics across server and browser environments.
you: not recommended
AI recommended (in order):
1. DuckDB
2. SQLite
3. SQLite-vector
4. ClickHouse Local
5. H2
6. SQL.js
AI recommended 6 alternatives but never named SouravRoy-ETL/slothdb. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What's a performant embedded database that supports natural language queries for data analysis?
you: not recommended
AI recommended (in order):
1. DuckDB
2. SQLite
3. EdgeDB
4. Rockset
5. ClickHouse
AI recommended 5 alternatives but never named SouravRoy-ETL/slothdb. 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 SouravRoy-ETL/slothdb?
pass
AI named SouravRoy-ETL/slothdb explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts SouravRoy-ETL/slothdb in production, what risks or prerequisites should they evaluate first?
pass
AI named SouravRoy-ETL/slothdb 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 SouravRoy-ETL/slothdb solve, and who is the primary audience?
pass
AI named SouravRoy-ETL/slothdb explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

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