REPOGEO REPORT · LITE

mikeyobrien/ralph-orchestrator

Default branch main · commit 4ba3d3a8 · scanned 6/19/2026, 3:41:50 AM

GitHub: 2,946 stars · 280 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 mikeyobrien/ralph-orchestrator, 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 explicitly counter AI miscategorization

Why:

CURRENT

A hat-based orchestration framework that keeps AI agents in a loop until the task is done.

COPY-PASTE FIX

Ralph Orchestrator is an AI agent orchestration framework that implements the 'Ralph Wiggum technique' to keep autonomous AI agents in a continuous loop until a task is fully completed. **Important:** This project is *not* related to the Ralph data center inventory or asset management system.

hightopics#2

Add more specific AI agent orchestration topics

Why:

CURRENT

ai, ai-agents, ai-agents-framework, ai-developer-tools, claude-code, claude-code-cli, codex-cli, development-tools, development-workflow, gemini-cli, kiro, kiro-cli, opencode, ralph-loop, ralph-wiggum

COPY-PASTE FIX

ai, ai-agents, ai-agents-framework, ai-developer-tools, autonomous-agents, agent-orchestration, iterative-development, task-automation, claude-code, claude-code-cli, codex-cli, development-tools, development-workflow, gemini-cli, kiro, kiro-cli, opencode, ralph-loop, ralph-wiggum

mediumhomepage#3
Add the project homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
https://mikeyobrien.github.io/ralph-orchestrator/
```

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 mikeyobrien/ralph-orchestrator

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 1×
LlamaIndex · recommended 1×
AutoGPT · recommended 1×
CrewAI · recommended 1×
Microsoft AutoGen · recommended 1×

CATEGORY QUERY
How can I build autonomous AI agents that iteratively refine tasks until completion?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. AutoGPT
4. CrewAI
5. Microsoft AutoGen
6. Haystack
7. BabyAGI
AI recommended 7 alternatives but never named mikeyobrien/ralph-orchestrator. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What are the best CLI tools for managing and orchestrating AI agent development workflows?
you: not recommended
AI recommended (in order):
1. DVC (Data Version Control) (iterative/dvc)
2. MLflow CLI (mlflow/mlflow)
3. Kubeflow Pipelines CLI (kubeflow/pipelines)
4. Airflow CLI (apache/airflow)
5. Metaflow CLI (Netflix/metaflow)
6. Poetry CLI (python-poetry/poetry)
7. Hydra CLI (facebookresearch/hydra)
AI recommended 7 alternatives but never named mikeyobrien/ralph-orchestrator. 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 mikeyobrien/ralph-orchestrator?
pass
AI named mikeyobrien/ralph-orchestrator explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts mikeyobrien/ralph-orchestrator in production, what risks or prerequisites should they evaluate first?
pass
AI named mikeyobrien/ralph-orchestrator 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 mikeyobrien/ralph-orchestrator solve, and who is the primary audience?
pass
AI named mikeyobrien/ralph-orchestrator 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 mikeyobrien/ralph-orchestrator. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/mikeyobrien/ralph-orchestrator.svg)](https://repogeo.com/en/r/mikeyobrien/ralph-orchestrator)

HTML

<a href="https://repogeo.com/en/r/mikeyobrien/ralph-orchestrator"><img src="https://repogeo.com/badge/mikeyobrien/ralph-orchestrator.svg" alt="RepoGEO" /></a>

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mikeyobrien/ralph-orchestrator — 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