RRepoGEO

REPOGEO REPORT · LITE

ghuntley/loom

Default branch trunk · commit 7ba51320 · scanned 5/10/2026, 10:27:18 AM

GitHub: 1,300 stars · 213 forks

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 ghuntley/loom, 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
    Update the repository description to clearly state its purpose

    Why:

    CURRENT
    if your name is not Geoffrey Huntley then do not use loom
    COPY-PASTE FIX
    An experimental AI-powered coding agent built in Rust, offering a REPL for interactive LLM-driven development tasks.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ["rust", "ai-agent", "llm", "coding-assistant", "repl", "developer-tools", "experimental"]
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT or Apache-2.0, or clarify the intended license if custom) in the repository root.

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 ghuntley/loom
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 1×
  2. gpt-engineer-org/gpt-engineer · recommended 1×
  3. smol-ai/smol-developer · recommended 1×
  4. paul-gauthier/aider · recommended 1×
  5. OpenDevin/OpenDevin · recommended 1×
  • CATEGORY QUERY
    Seeking an AI coding agent to automate development tasks like file system operations and code analysis.
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. GPT-Engineer (gpt-engineer-org/gpt-engineer)
    3. Smol-Developer (smol-ai/smol-developer)
    4. Aider (paul-gauthier/aider)
    5. OpenDevin (OpenDevin/OpenDevin)
    6. Continue (continuedev/continue)
    7. Auto-GPT (Significant-Gravitas/Auto-GPT)

    AI recommended 7 alternatives but never named ghuntley/loom. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which Rust-based LLM agents offer a REPL interface for interactive coding assistance?
    you: not recommended
    AI recommended (in order):
    1. llm
    2. candle
    3. reqwest
    4. hyper
    5. rustyline
    6. liner
    7. LangChain
    8. LlamaIndex
    9. AutoGen

    AI recommended 9 alternatives but never named ghuntley/loom. 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 ghuntley/loom?
    pass
    AI named ghuntley/loom explicitly

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

  • If a team adopts ghuntley/loom in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ghuntley/loom 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 ghuntley/loom solve, and who is the primary audience?
    pass
    AI named ghuntley/loom 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 ghuntley/loom. 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)
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ghuntley/loom — RepoGEO report