RRepoGEO

REPOGEO REPORT · LITE

lidangzzz/goal-driven

Default branch main · commit c8e54ba3 · scanned 5/17/2026, 9:18:19 PM

GitHub: 1,360 stars · 107 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 lidangzzz/goal-driven, 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
  • hightopics#1
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    multi-agent, llm-agents, ai-agents, autonomous-agents, problem-solving, framework, generative-ai, long-running-tasks, complex-systems
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a `LICENSE` file to the repository root with the text of a permissive open-source license, such as the MIT License.
  • mediumreadme#3
    Explicitly highlight 'LLM-powered' in the README's opening sentence

    Why:

    CURRENT
    The purpose of the Goal-Driven approach is to enable your multi-agent system (e.g., Claude Code, Codex, OpenClaw) to sustain more than 300 hours of continuous effort in solving an extremely complex problem that has a specific objective and a set of strict, well-defined criteria.
    COPY-PASTE FIX
    Goal-Driven is a framework designed to enable your **LLM-powered** multi-agent system (e.g., Claude Code, Codex, OpenClaw) to sustain more than 300 hours of continuous effort in solving an extremely complex problem that has a specific objective and a set of strict, well-defined criteria.

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 lidangzzz/goal-driven
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI GPT-4 · recommended 1×
  2. OpenAI GPT-3.5 Turbo · recommended 1×
  3. langchain-ai/langchain · recommended 1×
  4. Pinecone · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How to build an AI system for sustained, long-term complex engineering problem-solving?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4
    2. OpenAI GPT-3.5 Turbo
    3. LangChain (langchain-ai/langchain)
    4. Pinecone
    5. Weaviate (weaviate/weaviate)
    6. Jupyter Notebooks (jupyter/notebook)
    7. VS Code (microsoft/vscode)
    8. Python
    9. Docker (moby/moby)
    10. Kubernetes (kubernetes/kubernetes)
    11. TensorFlow (tensorflow/tensorflow)
    12. PyTorch (pytorch/pytorch)
    13. GitHub
    14. GitLab (gitlabhq/gitlabhq)

    AI recommended 14 alternatives but never named lidangzzz/goal-driven. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Framework for autonomous multi-agent systems to solve abstract, logically complex design problems?
    you: not recommended
    AI recommended (in order):
    1. SPADE
    2. JaCaMo
    3. Mesa
    4. NetLogo
    5. GAMA

    AI recommended 5 alternatives but never named lidangzzz/goal-driven. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 lidangzzz/goal-driven?
    pass
    AI named lidangzzz/goal-driven explicitly

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

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

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

Embed your GEO score

Drop this badge into the README of lidangzzz/goal-driven. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/lidangzzz/goal-driven.svg)](https://repogeo.com/en/r/lidangzzz/goal-driven)
HTML
<a href="https://repogeo.com/en/r/lidangzzz/goal-driven"><img src="https://repogeo.com/badge/lidangzzz/goal-driven.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

lidangzzz/goal-driven — 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