RRepoGEO

REPOGEO REPORT · LITE

Kaelio/ktx-ai-data-agents-mcp-context-skills

Default branch main · commit 01ccc73e · scanned 6/17/2026, 11:21:08 AM

GitHub: 1,231 stars · 65 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 Kaelio/ktx-ai-data-agents-mcp-context-skills, 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 H1 and opening paragraph for LLM agent context

    Why:

    CURRENT
    <h1 align="center">
  The context layer for data agents
</h1>

kx** is a self-improving context layer that teaches agents how to query your
warehouse accurately - from approved metric definitions, joinable columns, and
business knowledge it builds and maintains for you.
    COPY-PASTE FIX
    <h1 align="center">
  ktx: The Executable Context Layer for LLM Data Agents
</h1>

<p align="center">
  <b>ktx</b> is a self-improving context layer that teaches LLM agents (like Claude Code or Codex) how to query your enterprise data warehouse accurately. It provides approved metric definitions, joinable columns, and business knowledge, ensuring your AI agents operate with full, accurate context.
</p>
  • highabout#2
    Update GitHub 'About' description for clarity and keywords

    Why:

    CURRENT
    ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query data accurately and with full context of your company
    COPY-PASTE FIX
    ktx is an executable context layer for LLM data agents. It enables Claude Code, Codex, and other AI agents to query enterprise data accurately with full business context and approved definitions.
  • mediumtopics#3
    Add specific LLM agent framework and data governance topics

    Why:

    CURRENT
    agent, agent-skills, agents, ai-agent, ai-agents, analytics, analytics-engineering, business-intelligence, claude, claude-code, claude-skills, codex, context-layer, data-analysis, data-engineering, llm, mcp, memory, semantic-layer, skills
    COPY-PASTE FIX
    agent, agent-skills, agents, ai-agent, ai-agents, analytics, analytics-engineering, business-intelligence, claude, claude-code, claude-skills, codex, context-layer, data-analysis, data-engineering, llm, mcp, memory, semantic-layer, skills, llm-framework, ai-agent-framework, data-governance-for-llms, enterprise-ai

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 Kaelio/ktx-ai-data-agents-mcp-context-skills
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Confluence
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Confluence · recommended 1×
  2. Microsoft SharePoint · recommended 1×
  3. Teams Wiki · recommended 1×
  4. Notion · recommended 1×
  5. Alation · recommended 1×
  • CATEGORY QUERY
    How to provide AI agents with comprehensive business context for accurate data querying?
    you: not recommended
    AI recommended (in order):
    1. Confluence
    2. Microsoft SharePoint
    3. Teams Wiki
    4. Notion
    5. Alation
    6. Collibra
    7. Apache Atlas
    8. Neo4j
    9. Amazon Neptune
    10. Virtuoso
    11. Stardog
    12. Pinecone
    13. Weaviate
    14. Milvus

    AI recommended 14 alternatives but never named Kaelio/ktx-ai-data-agents-mcp-context-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps LLM agents understand and query complex enterprise data sources?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. OpenAI Functions

    AI recommended 5 alternatives but never named Kaelio/ktx-ai-data-agents-mcp-context-skills. 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 Kaelio/ktx-ai-data-agents-mcp-context-skills?
    pass
    AI did not name Kaelio/ktx-ai-data-agents-mcp-context-skills — 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 Kaelio/ktx-ai-data-agents-mcp-context-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Kaelio/ktx-ai-data-agents-mcp-context-skills 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 Kaelio/ktx-ai-data-agents-mcp-context-skills solve, and who is the primary audience?
    pass
    AI did not name Kaelio/ktx-ai-data-agents-mcp-context-skills — 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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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite