RRepoGEO

REPOGEO REPORT · LITE

tolibear/goalbuddy

Default branch main · commit 38dc8c9a · scanned 6/2/2026, 3:21:45 PM

GitHub: 647 stars · 54 forks

AI VISIBILITY SCORE
28 /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
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 tolibear/goalbuddy, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify the README's main tagline to specify its category

    Why:

    CURRENT
    A simple operating loop for long `/goal` runs.
    COPY-PASTE FIX
    A structured operating loop and persistent workspace for AI-driven software development with Codex and Claude Code.
  • mediumabout#2
    Refine the 'About' description for clarity

    Why:

    CURRENT
    A better /goal for Codex and Claude Code
    COPY-PASTE FIX
    A structured operating loop and persistent workspace for managing long, complex AI-driven coding tasks with tools like Codex and Claude Code.

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 tolibear/goalbuddy
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
MLflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. MLflow · recommended 1×
  2. DVC · recommended 1×
  3. Weights & Biases · recommended 1×
  4. Kubeflow · recommended 1×
  5. Azure Machine Learning · recommended 1×
  • CATEGORY QUERY
    Need a system to break down and verify large AI-driven software development efforts.
    you: not recommended
    AI recommended (in order):
    1. MLflow
    2. DVC
    3. Weights & Biases
    4. Kubeflow
    5. Azure Machine Learning
    6. Google Cloud AI Platform
    7. AWS SageMaker
    8. Great Expectations
    9. Pachyderm

    AI recommended 9 alternatives but never named tolibear/goalbuddy. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tools for providing a persistent workspace for AI coding sessions?
    you: not recommended
    AI recommended (in order):
    1. GitHub Codespaces
    2. Google Cloud Workstations
    3. AWS Cloud9
    4. JetBrains Gateway
    5. VS Code Remote Development
    6. JupyterHub (jupyterhub/jupyterhub)
    7. BinderHub (jupyterhub/binderhub)
    8. RunPod
    9. Vast.ai

    AI recommended 9 alternatives but never named tolibear/goalbuddy. 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 tolibear/goalbuddy?
    pass
    AI did not name tolibear/goalbuddy — 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 tolibear/goalbuddy in production, what risks or prerequisites should they evaluate first?
    pass
    AI named tolibear/goalbuddy 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 tolibear/goalbuddy solve, and who is the primary audience?
    pass
    AI named tolibear/goalbuddy explicitly

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

Embed your GEO score

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MARKDOWN (README)
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tolibear/goalbuddy — 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