RRepoGEO

REPOGEO REPORT · LITE

rcortx/kiwiq

Default branch main · commit e1dc6486 · scanned 5/28/2026, 10:07:53 PM

GitHub: 1,030 stars · 114 forks

AI VISIBILITY SCORE
35 /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
3 / 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 rcortx/kiwiq, 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 to explicitly state Python AI agent orchestration

    Why:

    CURRENT
    # KiwiQ AI Platform
    COPY-PASTE FIX
    # KiwiQ: Production-Grade Python Platform for Multi-Agent AI Orchestration
  • hightopics#2
    Add relevant topics for AI agent orchestration

    Why:

    COPY-PASTE FIX
    ai, multi-agent, llm, orchestration, python, generative-ai, rag, workflow-engine, agent-framework
  • mediumhomepage#3
    Add the project homepage URL

    Why:

    COPY-PASTE FIX
    https://kiwiq.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 rcortx/kiwiq
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. CrewAI · recommended 1×
  3. AutoGen · recommended 1×
  4. LlamaIndex · recommended 1×
  5. Haystack · recommended 1×
  • CATEGORY QUERY
    How can I build complex multi-agent AI workflows using Python and JSON schemas?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. AutoGen
    4. LlamaIndex
    5. Haystack

    AI recommended 5 alternatives but never named rcortx/kiwiq. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a production-ready platform for orchestrating AI agents with built-in observability and human-in-the-loop.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. Microsoft Azure AI Studio
    4. Azure Machine Learning
    5. Azure OpenAI Service
    6. Azure Monitor
    7. Azure App Service
    8. Azure Functions
    9. Google Cloud Vertex AI Agent Builder
    10. Cloud Logging
    11. Cloud Monitoring
    12. Vertex AI Workbench
    13. Google Cloud
    14. AWS Step Functions
    15. Amazon SageMaker
    16. Lambda
    17. DynamoDB
    18. CloudWatch
    19. Amazon A2I
    20. Cortex.dev
    21. Kubeflow Pipelines
    22. Prometheus
    23. Grafana

    AI recommended 23 alternatives but never named rcortx/kiwiq. 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 rcortx/kiwiq?
    pass
    AI named rcortx/kiwiq explicitly

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

  • If a team adopts rcortx/kiwiq in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rcortx/kiwiq 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 rcortx/kiwiq solve, and who is the primary audience?
    pass
    AI named rcortx/kiwiq explicitly

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

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rcortx/kiwiq — 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