RRepoGEO

REPOGEO REPORT · LITE

husu/loom

Default branch main · commit 905416f8 · scanned 6/5/2026, 2:18:22 AM

GitHub: 1,018 stars · 35 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 husu/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
  • hightopics#1
    Add specific topics for API documentation and mocking

    Why:

    CURRENT
    ai-agent, sdd
    COPY-PASTE FIX
    ai-agent, sdd, api-documentation, json-schema, api-mocking, openapi, rest-api
  • highreadme#2
    Add a concise English summary to the README's opening

    Why:

    CURRENT
    **简体中文** | [English](README.en.md)
    COPY-PASTE FIX
    **简体中文** | [English](README.en.md)

Loom is an AI-powered agent for generating, documenting, and mocking REST APIs using JSON Schema, featuring a TUI chat interface and a web viewer.
  • highlicense#3
    Add a LICENSE file to the repository root

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root directory with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage rights.

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 husu/loom
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Postman
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Postman · recommended 2×
  2. SwaggerHub · recommended 2×
  3. Stoplight Studio · recommended 1×
  4. Apigee · recommended 1×
  5. Redocly · recommended 1×
  • CATEGORY QUERY
    AI-powered tool to generate and manage API documentation with JSON Schema and mock services.
    you: not recommended
    AI recommended (in order):
    1. Stoplight Studio
    2. Postman
    3. SwaggerHub
    4. Apigee
    5. Redocly

    AI recommended 5 alternatives but never named husu/loom. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Interactive AI agent for designing, documenting, and mocking REST APIs with schema validation.
    you: not recommended
    AI recommended (in order):
    1. OpenAPI Generator (OpenAPITools/openapi-generator)
    2. Prism (stoplightio/prism)
    3. Stoplight Studio (stoplightio/studio)
    4. Postman
    5. SwaggerHub
    6. Insomnia (Kong/insomnia)
    7. Mockoon (mockoon/mockoon)
    8. RapidAPI Design

    AI recommended 8 alternatives but never named husu/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
    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 husu/loom?
    pass
    AI named husu/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 husu/loom in production, what risks or prerequisites should they evaluate first?
    pass
    AI named husu/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 husu/loom solve, and who is the primary audience?
    pass
    AI named husu/loom explicitly

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

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husu/loom — 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