RRepoGEO

REPOGEO REPORT · LITE

FreddeFrallan/Multilingual-CLIP

Default branch main · commit 93d894ed · scanned 6/8/2026, 4:56:51 PM

GitHub: 830 stars · 68 forks

AI VISIBILITY SCORE
52 /100
Needs work
Category recall
1 / 2
Avg rank #2.0 when recommended
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 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 FreddeFrallan/Multilingual-CLIP, 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
    multilingual, clip, text-encoder, image-retrieval, natural-language-processing, nlp, deep-learning, machine-learning, transformers, sentence-transformers
  • highhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://rom1504.github.io/clip-retrieval/?back=https%3A%2F%2Fknn5.laion.ai&index=laion_400m&useMclip=true
  • mediumreadme#3
    Strengthen the README's opening to clarify its role as a tool/library

    Why:

    CURRENT
    <h3 align="center">OpenAI CLIP text encoders for any language</h3>
    COPY-PASTE FIX
    <h3 align="center">OpenAI CLIP text encoders for any language</h3>

This repository provides Multilingual-CLIP (M-CLIP), a ready-to-use library that extends OpenAI's powerful CLIP text encoders to over 100 languages, enabling robust text-image retrieval and alignment for diverse linguistic contexts.

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 FreddeFrallan/Multilingual-CLIP
Avg rank
#2.0
Lower is better. #1 = top recommendation.
Share of voice
5%
Of all named tools, what % are you?
Top rival
OpenAI CLIP
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI CLIP · recommended 1×
  2. LAION-5B · recommended 1×
  3. Google's Universal Sentence Encoder Multilingual (USE-M) · recommended 1×
  4. ResNet · recommended 1×
  5. Vision Transformer (ViT) · recommended 1×
  • CATEGORY QUERY
    How to generate text embeddings in multiple languages for image retrieval systems?
    you: #2
    AI recommended (in order):
    1. OpenAI CLIP
    2. mCLIP (FreddeFrallan/Multilingual-CLIP) ← you
    3. LAION-5B
    4. Google's Universal Sentence Encoder Multilingual (USE-M)
    5. ResNet
    6. Vision Transformer (ViT)
    7. Hugging Face Transformers
    8. XLM-RoBERTa (XLM-R)
    9. mBERT (Multilingual BERT)
    10. Sentence-BERT (SBERT)
    11. sentence-transformers/distiluse-base-multilingual-cased-v2
    12. sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
    13. Facebook's DINOv2
    14. OpenNMT
    15. MarianMT
    16. Helsinki-NLP/opus-mt-mul-en
    Show full AI answer
  • CATEGORY QUERY
    What tools provide text encoders for aligning text descriptions with visual content?
    you: not recommended
    AI recommended (in order):
    1. OpenAI CLIP (openai/CLIP)
    2. Google ALIGN
    3. Hugging Face Transformers Library (huggingface/transformers)
    4. PyTorch Image Models (timm) Library (rwightman/pytorch-image-models)
    5. Facebook DINOv2 (facebookresearch/dinov2)
    6. Sentence-BERT (SBERT) (UKPLab/sentence-transformers)

    AI recommended 6 alternatives but never named FreddeFrallan/Multilingual-CLIP. 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 FreddeFrallan/Multilingual-CLIP?
    pass
    AI did not name FreddeFrallan/Multilingual-CLIP — likely talking about a different project

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

  • If a team adopts FreddeFrallan/Multilingual-CLIP in production, what risks or prerequisites should they evaluate first?
    pass
    AI named FreddeFrallan/Multilingual-CLIP 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 FreddeFrallan/Multilingual-CLIP solve, and who is the primary audience?
    pass
    AI did not name FreddeFrallan/Multilingual-CLIP — likely talking about a different project

    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 FreddeFrallan/Multilingual-CLIP. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/FreddeFrallan/Multilingual-CLIP.svg)](https://repogeo.com/en/r/FreddeFrallan/Multilingual-CLIP)
HTML
<a href="https://repogeo.com/en/r/FreddeFrallan/Multilingual-CLIP"><img src="https://repogeo.com/badge/FreddeFrallan/Multilingual-CLIP.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

FreddeFrallan/Multilingual-CLIP — 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