RRepoGEO

REPOGEO REPORT · LITE

DeepInsight-AI/DeepBI

Default branch main · commit 8baf98e0 · scanned 5/26/2026, 8:21:42 AM

GitHub: 2,350 stars · 370 forks

AI VISIBILITY SCORE
33 /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
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 DeepInsight-AI/DeepBI, 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 DeepBI's open-source, AI-native platform positioning in the README intro

    Why:

    CURRENT
    DeepBI is an AI-native data analysis platform. DeepBI leverages the power of large language models to explore, query, visualize, and share data from any data source. Users can use DeepBI to gain data insight and make data-driven decisions.
    COPY-PASTE FIX
    DeepBI is an **open-source, AI-native data analysis platform** that empowers users to explore, query, visualize, and share data from any source using natural language. Unlike traditional BI tools, DeepBI leverages large language models to provide conversational data insights and enable data-driven decisions, making advanced analytics accessible to everyone.
  • mediumtopics#2
    Add more specific topics to improve category visibility

    Why:

    CURRENT
    ai, analysis, bi, csv, data, gpt, gpt-4, llm, mysql, redis
    COPY-PASTE FIX
    ai, analysis, bi, business-intelligence, conversational-ai, data, data-analysis, gpt, gpt-4, llm, mysql, open-source, platform, redis, sql-generation, visualization
  • mediumreadme#3
    Add a 'Why DeepBI?' or 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Why DeepBI?
DeepBI stands out from traditional BI tools and general AI assistants by offering:
- **AI-Native Conversational Analytics:** Interact with your data using natural language, generating queries, visualizations, and insights without complex configurations.
- **Open-Source Flexibility:** Full control and extensibility, allowing for custom integrations and deployments.
- **Unified Data Exploration:** Connects to various data sources (MySQL, PostgreSQL, Dori, CSV) for comprehensive analysis.
- **Focus on Actionable Insights:** Designed to empower business users and analysts to make data-driven decisions quickly.

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 DeepInsight-AI/DeepBI
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ChatGPT
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. ChatGPT · recommended 1×
  2. Tableau CRM · recommended 1×
  3. Salesforce CRM Analytics · recommended 1×
  4. Google Cloud's Contact Center AI (CCAI) Insights · recommended 1×
  5. Looker Studio · recommended 1×
  • CATEGORY QUERY
    How can I use an AI assistant for conversational data analysis and visualization?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT
    2. Tableau CRM
    3. Salesforce CRM Analytics
    4. Google Cloud's Contact Center AI (CCAI) Insights
    5. Looker Studio
    6. MonkeyLearn
    7. Tableau Desktop
    8. Microsoft Power BI
    9. Azure Cognitive Services
    10. Qlik Sense
    11. SpaCy (explosion/spaCy)
    12. NLTK (nltk/nltk)

    AI recommended 12 alternatives but never named DeepInsight-AI/DeepBI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help generate SQL queries and visualize insights from various data sources using LLMs?
    you: not recommended
    AI recommended (in order):
    1. ThoughtSpot
    2. Tableau Pulse
    3. Power BI Copilot
    4. DataChat
    5. Seek AI
    6. SQLFlow
    7. Dataherald

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

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

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