RRepoGEO

REPOGEO REPORT · LITE

UKPLab/EasyNMT

Default branch main · commit d9db97fb · scanned 5/28/2026, 1:36:49 AM

GitHub: 1,253 stars · 123 forks

AI VISIBILITY SCORE
54 /100
Needs work
Category recall
1 / 2
Avg rank #6.0 when recommended
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 UKPLab/EasyNMT, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Emphasize 'local' and 'self-hosted' in the README's opening sentence

    Why:

    CURRENT
    This package provides easy to use, state-of-the-art machine translation for more than 100+ languages.
    COPY-PASTE FIX
    EasyNMT is a Python package providing easy to use, state-of-the-art **local and self-hosted** neural machine translation for more than 100+ languages, allowing you to run NMT models directly on your own infrastructure.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a relevant URL, such as a project documentation page or a dedicated project website, to the repository's homepage field.

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
1 / 2
50% of queries surface UKPLab/EasyNMT
Avg rank
#6.0
Lower is better. #1 = top recommendation.
Share of voice
8%
Of all named tools, what % are you?
Top rival
Google Cloud Translation API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Translation API · recommended 1×
  2. DeepL API · recommended 1×
  3. Microsoft Translator Text API · recommended 1×
  4. Hugging Face Transformers · recommended 1×
  5. Amazon Translate · recommended 1×
  • CATEGORY QUERY
    How can I easily integrate state-of-the-art machine translation into my Python application?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Translation API
    2. DeepL API
    3. Microsoft Translator Text API
    4. Hugging Face Transformers
    5. Amazon Translate
    6. OpenNMT-py

    AI recommended 6 alternatives but never named UKPLab/EasyNMT. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some good options for self-hosted neural machine translation supporting 100+ languages?
    you: #6
    AI recommended (in order):
    1. OpenNMT-py / OpenNMT-tf
    2. Marian NMT
    3. Fairseq
    4. Argos Translate
    5. ModernMT
    6. EasyNMT ← you
    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 UKPLab/EasyNMT?
    pass
    AI named UKPLab/EasyNMT explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite