RRepoGEO

REPOGEO REPORT · LITE

moein-shariatnia/OpenAI-CLIP

Default branch master · commit b91c86b9 · scanned 6/14/2026, 6:16:48 PM

GitHub: 724 stars · 105 forks

AI VISIBILITY SCORE
22 /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
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 moein-shariatnia/OpenAI-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
  • highreadme#1
    Reposition README to clearly state project's purpose

    Why:

    CURRENT
    The README currently starts with "## Update (October 2025)".
    COPY-PASTE FIX
    This repository provides a simple, faithful PyTorch implementation of OpenAI's CLIP model, designed for researchers and developers to easily understand, reproduce, and experiment with contrastive learning for image and text embeddings.
  • mediumhomepage#2
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/moein-shariatnia/OpenAI-CLIP
  • mediumtopics#3
    Add more specific topics to improve categorization

    Why:

    CURRENT
    bert, clip-model, dataset, deep-learning, nlp, openai-clip, paper, pytorch
    COPY-PASTE FIX
    bert, clip-model, dataset, deep-learning, nlp, openai-clip, paper, pytorch, clip-implementation, contrastive-learning, zero-shot-learning

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 moein-shariatnia/OpenAI-CLIP
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
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. Google ALIGN · recommended 1×
  3. Facebook DALL-E 2 · recommended 1×
  4. ViLT · recommended 1×
  5. VisualBERT · recommended 1×
  • CATEGORY QUERY
    How to generate joint embeddings for image and text data using deep learning?
    you: not recommended
    AI recommended (in order):
    1. OpenAI CLIP
    2. Google ALIGN
    3. Facebook DALL-E 2
    4. ViLT
    5. VisualBERT
    6. UNITER
    7. VSE++

    AI recommended 7 alternatives but never named moein-shariatnia/OpenAI-CLIP. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a PyTorch implementation for robust contrastive learning between images and their descriptions.
    you: not recommended
    AI recommended (in order):
    1. OpenCLIP
    2. Hugging Face Transformers (CLIP)
    3. CLIP (Official OpenAI GitHub)
    4. LAION-5B
    5. DeCLIP
    6. ALBEF (Align before Fuse)

    AI recommended 6 alternatives but never named moein-shariatnia/OpenAI-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 moein-shariatnia/OpenAI-CLIP?
    pass
    AI did not name moein-shariatnia/OpenAI-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 moein-shariatnia/OpenAI-CLIP in production, what risks or prerequisites should they evaluate first?
    pass
    AI named moein-shariatnia/OpenAI-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 moein-shariatnia/OpenAI-CLIP solve, and who is the primary audience?
    pass
    AI did not name moein-shariatnia/OpenAI-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 moein-shariatnia/OpenAI-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/moein-shariatnia/OpenAI-CLIP.svg)](https://repogeo.com/en/r/moein-shariatnia/OpenAI-CLIP)
HTML
<a href="https://repogeo.com/en/r/moein-shariatnia/OpenAI-CLIP"><img src="https://repogeo.com/badge/moein-shariatnia/OpenAI-CLIP.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

moein-shariatnia/OpenAI-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