RRepoGEO

REPOGEO REPORT · LITE

chain-ml/council

Default branch main · commit ac1e95e2 · scanned 6/15/2026, 7:11:49 AM

GitHub: 859 stars · 40 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 chain-ml/council, 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 to highlight multi-agent orchestration and control flow

    Why:

    CURRENT
    Council is an open-source platform for building applications with Large Language Models (LLMs) - built in Python. Council provides a unified interface for working with different LLM providers like OpenAI, Anthropic, Google and Ollama. The framework makes it easy to switch between providers while maintaining consistent interfaces and monitoring capabilities.
    COPY-PASTE FIX
    **Council** is an open-source **AI agent platform** built in Python, designed for building robust **multi-agent systems** with advanced **control flow** and scalable oversight. It provides a unified interface for working with different LLM providers like OpenAI, Anthropic, Google and Ollama, making it easy to switch while maintaining consistent interfaces and monitoring capabilities for enterprise-grade quality control.
  • mediumtopics#2
    Add more specific topics related to LLM orchestration and agent frameworks

    Why:

    CURRENT
    agent, ai, artificial-intelligence, chatgpt, generative-ai, gpt, gpt3, gpt4, machine-learning, python
    COPY-PASTE FIX
    agent, ai, artificial-intelligence, chatgpt, generative-ai, gpt, gpt3, gpt4, machine-learning, python, llm-orchestration, multi-agent-systems, ai-agents, control-flow, agent-framework
  • mediumabout#3
    Update the Description to explicitly include 'multi-agent' and 'orchestration'

    Why:

    CURRENT
    Council is an open-source platform for the rapid development and robust deployment of customized generative AI applications
    COPY-PASTE FIX
    Council is an open-source platform for the rapid development and robust deployment of customized **multi-agent** generative AI applications, featuring advanced **orchestration** and control flow.

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 chain-ml/council
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. LangSmith · recommended 2×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Weights & Biases · recommended 1×
  5. Arize · recommended 1×
  • CATEGORY QUERY
    How to build custom generative AI applications with robust control flow and monitoring?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. Microsoft Semantic Kernel

    AI recommended 3 alternatives but never named chain-ml/council. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python framework helps manage multiple LLM providers with consistent APIs and monitoring?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangSmith
    3. Weights & Biases
    4. Arize
    5. LlamaIndex
    6. LiteLLM
    7. Haystack
    8. OpenLLM

    AI recommended 8 alternatives but never named chain-ml/council. 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 chain-ml/council?
    pass
    AI did not name chain-ml/council — 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 chain-ml/council in production, what risks or prerequisites should they evaluate first?
    pass
    AI named chain-ml/council 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 chain-ml/council solve, and who is the primary audience?
    pass
    AI named chain-ml/council explicitly

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

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chain-ml/council — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite