RRepoGEO

REPOGEO REPORT · LITE

apconw/Aix-DB

Default branch master · commit e8ec4b24 · scanned 5/30/2026, 3:17:12 AM

GitHub: 2,148 stars · 415 forks

AI VISIBILITY SCORE
28 /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
2 / 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 apconw/Aix-DB, 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
    Clarify project identity in README's main title and subtitle

    Why:

    CURRENT
    <h3 align="center">Aix-DB - 大模型数据助手</h3>

<p align="center">基于大语言模型和RAG技术的智能数据分析系统，实现对话式数据分析（ChatBI），快速实现数据提取与可视化</p>
    COPY-PASTE FIX
    <h3 align="center">Aix-DB - 大模型数据助手 (AI-powered Conversational Data Assistant)</h3>

<p align="center">基于大语言模型和RAG技术的智能数据分析系统，实现对话式数据分析（ChatBI），快速实现数据提取与可视化</p>
<p align="center">An intelligent data analysis system based on large language models and RAG technology, enabling conversational data analysis (ChatBI) for rapid data extraction and visualization.</p>
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects the project's intended usage and contribution model.
  • mediumhomepage#3
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    Add a URL to the repository's 'About' section that points to a project homepage, demo, or documentation site (e.g., `https://apconw.github.io/Aix-DB/` if using GitHub Pages, or a dedicated demo link).

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 apconw/Aix-DB
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RasaHQ/rasa-x
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RasaHQ/rasa-x · recommended 1×
  2. deepmipt/DeepPavlov · recommended 1×
  3. explosion/spaCy · recommended 1×
  4. streamlit/streamlit · recommended 1×
  5. nltk/nltk · recommended 1×
  • CATEGORY QUERY
    What are the best open-source tools for conversational data analysis and visualization?
    you: not recommended
    AI recommended (in order):
    1. Rasa X (RasaHQ/rasa-x)
    2. OpenNLU (deepmipt/DeepPavlov)
    3. spaCy (explosion/spaCy)
    4. Streamlit (streamlit/streamlit)
    5. NLTK (nltk/nltk)
    6. Matplotlib (matplotlib/matplotlib)
    7. Seaborn (mwaskom/seaborn)
    8. Apache Superset (apache/superset)
    9. Elasticsearch (elastic/elasticsearch)
    10. Logstash (elastic/logstash)
    11. Kibana (elastic/kibana)

    AI recommended 11 alternatives but never named apconw/Aix-DB. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python framework to convert natural language questions into data insights using multi-agent LLMs.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. CrewAI
    6. DSPy

    AI recommended 6 alternatives but never named apconw/Aix-DB. 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 apconw/Aix-DB?
    pass
    AI did not name apconw/Aix-DB — 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 apconw/Aix-DB in production, what risks or prerequisites should they evaluate first?
    pass
    AI named apconw/Aix-DB 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 apconw/Aix-DB solve, and who is the primary audience?
    pass
    AI named apconw/Aix-DB explicitly

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

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apconw/Aix-DB — 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