RRepoGEO

REPOGEO REPORT · LITE

fe1ixxu/ALMA

Default branch master · commit e4545ca1 · scanned 6/5/2026, 4:08:11 PM

GitHub: 586 stars · 43 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 fe1ixxu/ALMA, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    llm-translation, machine-translation, large-language-models, nlp, deep-learning, ai-translation, many-to-many-translation, contrastive-preference-optimization, cpo, alma-model, x-alma
  • highhomepage#2
    Set the project homepage to the primary arXiv paper

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2309.11674
  • highreadme#3
    Reposition the README's initial text for clearer categorization

    Why:

    CURRENT
    ALMA has three generations: ALMA (1st), ALMA-R (2nd), and **X-ALMA(3rd NEW!)**.
    COPY-PASTE FIX
    ALMA is a state-of-the-art family of LLM-based translation models, including ALMA, ALMA-R, and the new X-ALMA, designed to deliver high-quality many-to-many translation across diverse languages.

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 fe1ixxu/ALMA
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 2×
  2. OpenNMT · recommended 2×
  3. Google Cloud Translation API · recommended 1×
  4. DeepL API · recommended 1×
  5. Microsoft Azure Translator Text API · recommended 1×
  • CATEGORY QUERY
    How can I implement state-of-the-art language model-based translation in my application?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Translation API
    2. DeepL API
    3. Microsoft Azure Translator Text API
    4. Amazon Translate
    5. Hugging Face Transformers
    6. OpenNMT

    AI recommended 6 alternatives but never named fe1ixxu/ALMA. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks offer advanced many-to-many LLM translation with fine-tuning capabilities?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. Fairseq
    3. OpenNMT
    4. TensorFlow Text
    5. Keras NLP
    6. PyTorch-Lightning

    AI recommended 6 alternatives but never named fe1ixxu/ALMA. 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 fe1ixxu/ALMA?
    pass
    AI named fe1ixxu/ALMA explicitly

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

  • If a team adopts fe1ixxu/ALMA in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fe1ixxu/ALMA 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 fe1ixxu/ALMA solve, and who is the primary audience?
    pass
    AI named fe1ixxu/ALMA explicitly

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

Embed your GEO score

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fe1ixxu/ALMA — 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