RRepoGEO

REPOGEO REPORT · LITE

companion-inc/feynman

Default branch main · commit 51236f6a · scanned 5/18/2026, 4:47:11 PM

GitHub: 7,159 stars · 892 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 companion-inc/feynman, 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
  • highabout#1
    Add a concise description to the 'About' section

    Why:

    COPY-PASTE FIX
    An open-source framework for building, running, and observing explainable and personalized AI research agents.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agent, research-agent, llm-framework, open-source-ai, ai-companions, conversational-ai
  • highreadme#3
    Strengthen the README's opening statement to clarify its role as an agent framework

    Why:

    CURRENT
    <p align="center">The open source AI research agent.</p>
    COPY-PASTE FIX
    <p align="center">Feynman is an open-source framework for building, running, and observing explainable and personalized AI research agents. It provides a structured approach to define, execute, and monitor single AI agents, simplifying complex research workflows.</p>

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 companion-inc/feynman
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mlflow/mlflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. mlflow/mlflow · recommended 1×
  2. iterative/dvc · recommended 1×
  3. kubeflow/kubeflow · recommended 1×
  4. apache/airflow · recommended 1×
  5. wandb/wandb · recommended 1×
  • CATEGORY QUERY
    What open source tools help automate and manage my AI research workflows?
    you: not recommended
    AI recommended (in order):
    1. MLflow (mlflow/mlflow)
    2. DVC (iterative/dvc)
    3. Kubeflow (kubeflow/kubeflow)
    4. Airflow (apache/airflow)
    5. Weights & Biases (wandb/wandb)
    6. Metaflow (Netflix/metaflow)
    7. Ray (ray-project/ray)

    AI recommended 7 alternatives but never named companion-inc/feynman. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I set up a local AI agent for research without complex environment setup?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama
    3. LocalGPT
    4. Jan
    5. PrivateGPT
    6. GPT4All
    7. Hugging Face Transformers

    AI recommended 7 alternatives but never named companion-inc/feynman. 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 companion-inc/feynman?
    pass
    AI named companion-inc/feynman explicitly

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

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

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

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companion-inc/feynman — 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