RRepoGEO

REPOGEO REPORT · LITE

aorwall/moatless-tools

Default branch main · commit 011ead57 · scanned 6/5/2026, 4:51:51 PM

GitHub: 641 stars · 61 forks

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 aorwall/moatless-tools, 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 project description to the About section

    Why:

    COPY-PASTE FIX
    A Python framework and toolkit for building, evaluating, and experimenting with LLM agents for code editing, generation, and bug fixing, particularly on benchmarks like SWE-Bench.
  • highreadme#2
    Reposition README opening to clarify project's role as an LLM agent framework

    Why:

    CURRENT
    # Moatless Tools
Moatless Tools is a hobby project where I experiment with some ideas I have about how LLMs can be used to edit code in large existing codebases. I believe that rather than relying on an agent to reason its way to a solution, it is crucial to build good tools to insert the right context into the prompt and handle the response.
    COPY-PASTE FIX
    # Moatless Tools
Moatless Tools is a Python framework and toolkit designed for building, evaluating, and experimenting with LLM agents for code editing, generation, and bug fixing in large existing codebases. It emphasizes creating robust tools to provide context and handle LLM responses, rather than relying solely on agent reasoning. It is particularly useful for benchmarking against datasets like SWE-Bench.
  • mediumhomepage#3
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    Add the URL for your project's documentation, demo, or main website here (e.g., `https://your-project-docs.com` or `https://github.com/aorwall/moatless-tools#readme` if the README serves as the primary homepage).

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 aorwall/moatless-tools
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. Cursor · recommended 1×
  3. continue-team/continue · recommended 1×
  4. GitHub Copilot · recommended 1×
  5. paul-gauthier/aider · recommended 1×
  • CATEGORY QUERY
    What tools help integrate LLMs for robust code editing and context-aware refactoring?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue (continue-team/continue)
    3. GitHub Copilot
    4. OpenAI API
    5. aider (paul-gauthier/aider)
    6. Codeium
    7. Smol-developer (smol-ai/smol-developer)

    AI recommended 7 alternatives but never named aorwall/moatless-tools. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python framework to enhance LLM performance on code generation and bug fixing tasks.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI API
    5. Instructor
    6. Guidance

    AI recommended 6 alternatives but never named aorwall/moatless-tools. 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 aorwall/moatless-tools?
    pass
    AI named aorwall/moatless-tools explicitly

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

  • If a team adopts aorwall/moatless-tools in production, what risks or prerequisites should they evaluate first?
    pass
    AI named aorwall/moatless-tools 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 aorwall/moatless-tools solve, and who is the primary audience?
    pass
    AI named aorwall/moatless-tools 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 aorwall/moatless-tools. 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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  • Brand-free category queries5 vs 2 in Lite
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