RRepoGEO

REPOGEO REPORT · LITE

data-goblin/power-bi-agentic-development

Default branch main · commit c43a3a14 · scanned 6/17/2026, 6:07:00 AM

GitHub: 708 stars · 105 forks

AI VISIBILITY SCORE
27 /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
1 / 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 data-goblin/power-bi-agentic-development, 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 statement to clarify niche

    Why:

    CURRENT
    The best source for Power BI AI skills and agentic development resources in one marketplace Teach AI agents like Claude Code or GitHub Copilot Power BI and Microsoft Fabric
    COPY-PASTE FIX
    The definitive marketplace for AI agents and skills specifically designed to *generate, manage, and optimize Power BI development artifacts* like semantic models, DAX, TMDL, and reports. Empower AI assistants like Claude Code or GitHub Copilot with deep Power BI and Microsoft Fabric expertise.
  • mediumtopics#2
    Add more specific topics to reinforce Power BI development focus

    Why:

    CURRENT
    agentic-development, agents, ai, ai-agents, business-intelligence, claude, claude-code, copilot, dax, fabric, github-copilot, microsoft-fabric, pbip, plugin, power-bi, reporting, semantic-model, skills, tmdl
    COPY-PASTE FIX
    agentic-development, agents, ai, ai-agents, business-intelligence, claude, claude-code, copilot, dax, fabric, github-copilot, microsoft-fabric, pbip, plugin, power-bi, reporting, semantic-model, skills, tmdl, power-bi-development, dax-automation, tmdl-automation, power-bi-tools, ai-for-bi-development
  • lowabout#3
    Refine the 'Description' to emphasize development artifact generation

    Why:

    CURRENT
    Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI skills, subagents, and hooks for semantic models, DAX, TMDL, reports, and AI dashboards. Includes Microsoft Fabric skills and Fabric agents. Weekly updates.
    COPY-PASTE FIX
    A plugin marketplace providing Power BI AI skills and agents for Claude Code and GitHub Copilot, focused on *generating and automating Power BI development artifacts* like semantic models, DAX, TMDL, and reports. Includes Microsoft Fabric skills and Fabric agents for AI-driven BI development. Weekly updates.

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 data-goblin/power-bi-agentic-development
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Talend Data Fabric
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Talend Data Fabric · recommended 1×
  2. Informatica Intelligent Data Management Cloud (IDMC) · recommended 1×
  3. Microsoft Azure Data Factory · recommended 1×
  4. DataRobot · recommended 1×
  5. Looker (Google Cloud Looker) · recommended 1×
  • CATEGORY QUERY
    How can AI agents help automate business intelligence report creation and data modeling?
    you: not recommended
    AI recommended (in order):
    1. Talend Data Fabric
    2. Informatica Intelligent Data Management Cloud (IDMC)
    3. Microsoft Azure Data Factory
    4. DataRobot
    5. Looker (Google Cloud Looker)
    6. ER/Studio (Idera)
    7. Microsoft Power BI (with Copilot)
    8. Tableau (with Ask Data and Tableau Pulse)
    9. Qlik Sense (with Associative Engine and Insight Advisor)
    10. ThoughtSpot
    11. Databricks (with MLflow)
    12. Amazon QuickSight (with ML Insights)
    13. Google Cloud Looker (with Looker Blocks and custom ML integrations)

    AI recommended 13 alternatives but never named data-goblin/power-bi-agentic-development. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find plugins to extend AI coding agent capabilities for data analysis?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. OpenAI GPTs
    4. Hugging Face Transformers
    5. Jupyter AI
    6. Semantic Kernel
    7. Pandas
    8. NumPy
    9. SciPy
    10. Scikit-learn
    11. Matplotlib
    12. Plotly

    AI recommended 12 alternatives but never named data-goblin/power-bi-agentic-development. 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 data-goblin/power-bi-agentic-development?
    pass
    AI did not name data-goblin/power-bi-agentic-development — 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 data-goblin/power-bi-agentic-development in production, what risks or prerequisites should they evaluate first?
    pass
    AI named data-goblin/power-bi-agentic-development 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 data-goblin/power-bi-agentic-development solve, and who is the primary audience?
    pass
    AI did not name data-goblin/power-bi-agentic-development — 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?

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