RRepoGEO

REPOGEO REPORT · LITE

Zafer-Liu/Data-Analysis-Agent

Default branch main · commit d60e6882 · scanned 5/29/2026, 4:42:07 AM

GitHub: 1,235 stars · 78 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 Zafer-Liu/Data-Analysis-Agent, 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 README opening to highlight open-source AI agent for business analysis

    Why:

    CURRENT
    一个面向商业分析场景的 AI Agent。
    COPY-PASTE FIX
    一个面向商业分析场景的 AI Agent。作为一款开源的智能数据分析工具，它旨在为商业分析师提供一个对话式、自动化、端到端的数据分析解决方案，与传统商业智能（BI）平台形成差异化。
  • mediumtopics#2
    Add specific topics to clarify open-source and BI alternative positioning

    Why:

    CURRENT
    agent, ai, ai-tools, analysis, charts, datavisualization
    COPY-PASTE FIX
    agent, ai, ai-tools, analysis, charts, datavisualization, open-source, business-intelligence, natural-language-processing, sql-generation
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Zafer-Liu/Data-Analysis-Agent

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 Zafer-Liu/Data-Analysis-Agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Tableau CRM
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Tableau CRM · recommended 2×
  2. ThoughtSpot · recommended 2×
  3. Looker · recommended 2×
  4. Yellowfin BI · recommended 2×
  5. Microsoft Power BI · recommended 1×
  • CATEGORY QUERY
    How can I enable non-technical users to perform data analysis using natural language?
    you: not recommended
    AI recommended (in order):
    1. Tableau CRM
    2. Microsoft Power BI
    3. ThoughtSpot
    4. Looker
    5. Qlik Sense
    6. Yellowfin BI
    7. Sisense

    AI recommended 7 alternatives but never named Zafer-Liu/Data-Analysis-Agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools automate SQL generation and chart creation from natural language for business insights?
    you: not recommended
    AI recommended (in order):
    1. ThoughtSpot
    2. Tableau CRM
    3. Power BI
    4. Looker
    5. Sigma Computing
    6. Domo
    7. Yellowfin BI

    AI recommended 7 alternatives but never named Zafer-Liu/Data-Analysis-Agent. 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 Zafer-Liu/Data-Analysis-Agent?
    pass
    AI did not name Zafer-Liu/Data-Analysis-Agent — 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 Zafer-Liu/Data-Analysis-Agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Zafer-Liu/Data-Analysis-Agent 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 Zafer-Liu/Data-Analysis-Agent solve, and who is the primary audience?
    pass
    AI named Zafer-Liu/Data-Analysis-Agent explicitly

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

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Zafer-Liu/Data-Analysis-Agent — 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