RRepoGEO

REPOGEO REPORT · LITE

Azure/co-op-translator

Default branch main · commit f3cb57db · scanned 5/31/2026, 8:26:34 PM

GitHub: 615 stars · 95 forks

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 Azure/co-op-translator, 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 README H1 and subtitle to clarify core purpose and nature

    Why:

    CURRENT
    # Co-op Translator _Easily automate and maintain translations for your educational GitHub content across multiple languages as your project evolves._
    COPY-PASTE FIX
    # Co-op Translator: An AI-Powered Tool for Automated Documentation Translation

_This Python package enables you to easily automate and maintain high-quality translations for your project's documentation, including Markdown files and images, into multiple languages using Azure AI Services. It is designed as a robust tool for production use, not just a sample._
  • mediumtopics#2
    Add more specific topics to reinforce documentation and AI tool categorization

    Why:

    CURRENT
    azure, azure-ai-vision, azure-openai, co-op-translator, image-translation, localization, markdown-translation, multilingual-translation, open-source, python-package
    COPY-PASTE FIX
    azure, azure-ai-vision, azure-openai, co-op-translator, image-translation, localization, markdown-translation, multilingual-translation, open-source, python-package, documentation-translation, ai-localization-tool, github-docs-translation
  • lowreadme#3
    Add a "Who is this for?" or "Use Cases" section to the README

    Why:

    COPY-PASTE FIX
    ## Who is this for?

This tool is ideal for developers, technical writers, and open-source project maintainers who need to:
- Automatically translate Markdown-based documentation.
- Localize images within their documentation.
- Maintain up-to-date translations as their project evolves.
- Leverage Azure AI Services for high-quality, scalable translation.

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 Azure/co-op-translator
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Crowdin
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Crowdin · recommended 2×
  2. DeepL Pro · recommended 2×
  3. Phrase · recommended 2×
  4. Transifex · recommended 1×
  5. Google Cloud Translation API · recommended 1×
  • CATEGORY QUERY
    How can I automatically translate my project's documentation into many languages efficiently?
    you: not recommended
    AI recommended (in order):
    1. Crowdin
    2. Transifex
    3. DeepL Pro
    4. Google Cloud Translation API
    5. Phrase
    6. GitLocalize
    7. Weblate

    AI recommended 7 alternatives but never named Azure/co-op-translator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can help translate markdown documentation and images using AI for localization?
    you: not recommended
    AI recommended (in order):
    1. DeepL Pro
    2. Google Cloud Translation AI
    3. Microsoft Azure Translator
    4. Smartling
    5. Phrase
    6. Crowdin

    AI recommended 6 alternatives but never named Azure/co-op-translator. 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 Azure/co-op-translator?
    pass
    AI named Azure/co-op-translator explicitly

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

  • If a team adopts Azure/co-op-translator in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Azure/co-op-translator 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 Azure/co-op-translator solve, and who is the primary audience?
    pass
    AI named Azure/co-op-translator 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 Azure/co-op-translator. 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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HTML
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Azure/co-op-translator — RepoGEO report