RRepoGEO

REPOGEO REPORT · LITE

whoiskatrin/sql-translator

Default branch main · commit fb7d30f3 · scanned 6/19/2026, 5:38:29 PM

GitHub: 4,311 stars · 375 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 whoiskatrin/sql-translator, 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
    Reposition the README's opening paragraph to emphasize AI-powered NL-to-SQL/SQL-to-NL translation

    Why:

    CURRENT
    Welcome to the SQL and Natural Language Translator! This tool is designed to make it easy for anyone to translate SQL (Structured Query Language) commands into natural language and vice versa. SQL is a programming language used to manage and manipulate data in relational databases, and while it's a powerful tool, it can also be quite complex and difficult to understand. On the other hand, natural language is the language that we speak and write in everyday life, and it's often the preferred way to communicate for people who are not familiar with technical jargon.
    COPY-PASTE FIX
    Welcome to the **AI-powered SQL Translator**, an open-source tool designed to effortlessly convert natural language descriptions into SQL queries and translate complex SQL statements back into human-readable natural language. Leveraging advanced artificial intelligence, this project makes interacting with relational databases accessible to everyone, regardless of their SQL expertise. Say goodbye to complex syntax and hello to intuitive data interaction.
  • mediumtopics#2
    Add more specific AI/NLP and NL-to-SQL related topics

    Why:

    CURRENT
    data-analysis, data-engineering, dataquery, datascience, dataset, openai, postgresql, query, sql
    COPY-PASTE FIX
    data-analysis, data-engineering, dataquery, datascience, dataset, openai, postgresql, query, sql, natural-language-to-sql, sql-to-natural-language, llm, generative-ai, nlp-sql, ai-sql-generator, sql-explanation
  • lowabout#3
    Refine the repository description to highlight AI and two-way translation

    Why:

    CURRENT
    SQL Translator is a tool for converting natural language queries into SQL code using artificial intelligence. This project is 100% free and open source.
    COPY-PASTE FIX
    AI-powered SQL Translator: Convert natural language to SQL queries and SQL to human-readable explanations using advanced AI. This project is 100% free and open source.

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 whoiskatrin/sql-translator
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4 / GPT-3.5
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 / GPT-3.5 · recommended 1×
  2. Google Cloud Vertex AI · recommended 1×
  3. Hugging Face Transformers · recommended 1×
  4. Microsoft Azure OpenAI Service · recommended 1×
  5. SQLFlow · recommended 1×
  • CATEGORY QUERY
    How can I generate SQL queries from natural language descriptions using an AI tool?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4 / GPT-3.5
    2. Google Cloud Vertex AI
    3. Hugging Face Transformers
    4. Microsoft Azure OpenAI Service
    5. SQLFlow
    6. Dataherald

    AI recommended 6 alternatives but never named whoiskatrin/sql-translator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open source tools help translate complex SQL statements into human-readable explanations?
    you: not recommended
    AI recommended (in order):
    1. pgFormatter (darold/pgFormatter)
    2. explain.dalibo.com
    3. sql-explain (sql-explain/sql-explain)
    4. DB Browser for SQLite (sqlitebrowser/sqlitebrowser)
    5. DBeaver Community Edition (dbeaver/dbeaver)
    6. SQLFluff (sqlfluff/sqlfluff)
    7. SchemaSpy (schemaspy/schemaspy)
    8. Apache Calcite (apache/calcite)

    AI recommended 8 alternatives but never named whoiskatrin/sql-translator. 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 whoiskatrin/sql-translator?
    pass
    AI named whoiskatrin/sql-translator explicitly

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

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

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

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whoiskatrin/sql-translator — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite