RRepoGEO

REPOGEO REPORT · LITE

caesarHQ/textSQL

Default branch main · commit 7393e19b · scanned 5/26/2026, 6:07:45 AM

GitHub: 1,583 stars · 157 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 caesarHQ/textSQL, 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

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

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    A Python library that converts natural language questions into SQL queries using LLMs, enabling natural language interfaces for databases.
  • mediumreadme#2
    Reposition the README's primary identity

    Why:

    CURRENT
    ## 🚨 Check out the latest project from the creators of textSQL: Julius.ai 🚨

###

# Natural Language → SQL
    COPY-PASTE FIX
    ## textSQL: Natural Language → SQL Library

**textSQL is a Python library designed to convert natural language questions into SQL queries using Large Language Models (LLMs).** It provides a robust framework for building natural language interfaces to databases, making data analysis accessible to everyone. Explore its capabilities through applications like San Francisco GPT and CensusGPT.

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 caesarHQ/textSQL
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. Dataherald · recommended 2×
  3. OpenAI GPT-4 · recommended 1×
  4. SQLFlow · recommended 1×
  5. Seek AI · recommended 1×
  • CATEGORY QUERY
    How can I translate natural language questions into SQL queries for data analysis?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. Hugging Face Transformers
    3. SQLFlow
    4. Dataherald
    5. Seek AI
    6. ThoughtSpot

    AI recommended 6 alternatives but never named caesarHQ/textSQL. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to build natural language interfaces for database querying.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. SQLCoder
    5. Text-to-SQL-T5
    6. Spider-T5
    7. Microsoft Power BI Q&A
    8. Tableau Ask Data
    9. Dataherald
    10. DB-GPT

    AI recommended 10 alternatives but never named caesarHQ/textSQL. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    Suggestion:

  • 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 caesarHQ/textSQL?
    pass
    AI named caesarHQ/textSQL explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts caesarHQ/textSQL in production, what risks or prerequisites should they evaluate first?
    pass
    AI named caesarHQ/textSQL 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 caesarHQ/textSQL solve, and who is the primary audience?
    pass
    AI named caesarHQ/textSQL explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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caesarHQ/textSQL — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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