RRepoGEO

REPOGEO REPORT · LITE

dataease/SQLBot

Default branch main · commit 1f32e2c3 · scanned 5/16/2026, 5:31:59 AM

GitHub: 6,093 stars · 726 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 dataease/SQLBot, 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 sentence with core differentiators

    Why:

    CURRENT
    SQLBot 是一款基于大语言模型和 RAG 的智能问数系统，由 DataEase 开源项目组匠心出品。借助 SQLBot，用户可以实现对话式数据分析（ChatBI），快速提炼获取所需的数据信息及可视化图表，并且支持进一步开展智能分析。
    COPY-PASTE FIX
    SQLBot is an **open-source**, RAG-powered intelligent data querying system that enables conversational data analysis (ChatBI) and Text-to-SQL generation via LLMs. Developed by the DataEase open-source project team, it stands out with its **flexible support for various LLMs, including local and self-hosted options**, allowing users to quickly extract data insights and visualizations.
  • mediumlicense#2
    Clarify license in README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [Specify License Name(s) and link to LICENSE file if applicable]. Please see the [LICENSE](LICENSE) file for full details.
  • lowtopics#3
    Add 'open-source' and 'data-analysis' to topics

    Why:

    CURRENT
    chatbi, deepseek, llm, nl2sql, rag, sqlbot, text-to-sql, text2sql
    COPY-PASTE FIX
    chatbi, deepseek, llm, nl2sql, rag, sqlbot, text-to-sql, text2sql, open-source, data-analysis

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 dataease/SQLBot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Databricks SQL Analytics
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Databricks SQL Analytics · recommended 1×
  2. Databricks Lakehouse Platform · recommended 1×
  3. Databricks IQ · recommended 1×
  4. OpenAI API · recommended 1×
  5. GPT-4 · recommended 1×
  • CATEGORY QUERY
    How to implement a conversational BI system for data analysis using LLMs?
    you: not recommended
    AI recommended (in order):
    1. Databricks SQL Analytics
    2. Databricks Lakehouse Platform
    3. Databricks IQ
    4. OpenAI API
    5. GPT-4
    6. GPT-3.5 Turbo
    7. LangChain
    8. LlamaIndex
    9. Snowflake
    10. BigQuery
    11. Google Cloud Vertex AI
    12. Generative AI Studio
    13. PaLM 2
    14. Gemini
    15. Microsoft Azure OpenAI Service
    16. Azure Synapse Analytics
    17. Azure SQL Database
    18. Hugging Face Transformers
    19. Llama 2
    20. Mistral
    21. PostgreSQL
    22. MySQL
    23. DuckDB
    24. ThoughtSpot
    25. ThoughtSpot Monitor for LLMs

    AI recommended 25 alternatives but never named dataease/SQLBot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source tool for natural language to SQL generation with RAG.
    you: not recommended
    AI recommended (in order):
    1. SQLCoder (defog-ai/sqlcoder)
    2. DB-GPT (eosphoros-ai/DB-GPT)
    3. LlamaIndex (run-llama/llama_index)
    4. Llama 2 (facebookresearch/llama)
    5. Mistral (mistralai/mistral-src)
    6. Mixtral (mistralai/mixtral-src)
    7. LangChain (langchain-ai/langchain)
    8. Hugging Face Transformers (huggingface/transformers)
    9. T5 (google-research/text-to-text-transfer-transformer)
    10. BART (facebookresearch/fairseq)
    11. Code Llama (facebookresearch/codellama)

    AI recommended 11 alternatives but never named dataease/SQLBot. 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 dataease/SQLBot?
    pass
    AI named dataease/SQLBot explicitly

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

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

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

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