RRepoGEO

REPOGEO REPORT · LITE

WecoAI/aideml

Default branch main · commit 40dcf28f · scanned 5/19/2026, 6:07:03 PM

GitHub: 1,282 stars · 189 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
40 /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
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 WecoAI/aideml, 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
    Strengthen README's opening to emphasize autonomous AI R&D agent role

    Why:

    CURRENT
    AIDE ML is the open‑source “reference build” of the AIDE algorithm, a tree‑search agent that autonomously drafts, debugs and benchmarks code until a user‑defined metric is maximised (or minimised).
    COPY-PASTE FIX
    AIDE ML is an autonomous AI R&D agent that automates machine learning engineering. It's the open‑source “reference build” of the AIDE algorithm, a tree‑search agent that autonomously drafts, debugs and benchmarks code until a user‑defined metric is maximised (or minimised).
  • mediumtopics#2
    Add more specific topics for AI research automation

    Why:

    CURRENT
    ai, ai-agents, automated-machine-learning, autonomous-agents, autoresearch, code-optimization, data-science, llm, machine-learning, self-improving-ai
    COPY-PASTE FIX
    ai, ai-agents, ai-research-automation, agentic-ml, automated-machine-learning, autonomous-agents, autoresearch, code-optimization, data-science, llm, machine-learning, self-improving-ai
  • lowreadme#3
    Complete and clarify 'Who should use it?' section in README

    Why:

    COPY-PASTE FIX
    ### Who should use it?
AIDE ML is designed for academics and engineer-researchers who need to replicate papers, test new ideas, or prototype ML pipelines. It's ideal for those looking to automate the iterative process of AI research and development, leveraging an LLM-driven agent to autonomously explore and optimize machine learning 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 WecoAI/aideml
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot X
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot X · recommended 1×
  2. Google Gemini · recommended 1×
  3. OpenAI Codex · recommended 1×
  4. Tabnine · recommended 1×
  5. Replit AI · recommended 1×
  • CATEGORY QUERY
    Need an AI assistant to autonomously write, debug, and optimize machine learning code.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot X
    2. Google Gemini
    3. OpenAI Codex
    4. Tabnine
    5. Replit AI
    6. Cursor AI

    AI recommended 6 alternatives but never named WecoAI/aideml. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for tools to automate AI research and self-improving machine learning pipelines.
    you: not recommended
    AI recommended (in order):
    1. Weights & Biases (W&B)
    2. MLflow
    3. Kubeflow
    4. Ray Tune
    5. Metaflow
    6. Google Cloud AutoML
    7. H2O.ai AutoML

    AI recommended 7 alternatives but never named WecoAI/aideml. 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 WecoAI/aideml?
    pass
    AI named WecoAI/aideml explicitly

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

  • If a team adopts WecoAI/aideml in production, what risks or prerequisites should they evaluate first?
    pass
    AI named WecoAI/aideml 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 WecoAI/aideml solve, and who is the primary audience?
    pass
    AI named WecoAI/aideml 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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WecoAI/aideml — 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