RRepoGEO

REPOGEO REPORT · LITE

rmokady/CLIP_prefix_caption

Default branch main · commit 1ad805a8 · scanned 5/14/2026, 4:12:37 AM

GitHub: 1,418 stars · 224 forks

AI VISIBILITY SCORE
28 /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
2 / 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 rmokady/CLIP_prefix_caption, 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 specific topics for image captioning and vision-language models

    Why:

    COPY-PASTE FIX
    image-captioning, clip, vision-language-model, deep-learning, nlp, computer-vision, generative-ai, pytorch
  • highreadme#2
    Add a concise, benefit-oriented opening sentence to the README

    Why:

    CURRENT
    # CLIP prefix captioning.
    COPY-PASTE FIX
    # CLIP prefix captioning.

This repository provides the official PyTorch implementation for "ClipCap: CLIP Prefix for Image Captioning," offering a fast and efficient method to generate high-quality image descriptions without extensive data annotation.
  • mediumhomepage#3
    Add the associated research paper's URL as the repository homepage

    Why:

    COPY-PASTE FIX
    https://arxiv.org/abs/2111.00390

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 rmokady/CLIP_prefix_caption
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. Salesforce BLIP · recommended 1×
  3. Google PaLI · recommended 1×
  4. Hugging Face Transformers Library · recommended 1×
  5. Microsoft COCO Captioning Models · recommended 1×
  • CATEGORY QUERY
    How to generate descriptive captions for images without extensive data annotation?
    you: not recommended
    AI recommended (in order):
    1. OpenAI CLIP
    2. Salesforce BLIP
    3. Google PaLI
    4. Hugging Face Transformers Library
    5. Microsoft COCO Captioning Models
    6. Google Cloud Vision AI

    AI recommended 6 alternatives but never named rmokady/CLIP_prefix_caption. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are efficient methods for creating image descriptions using pre-trained vision-language models?
    you: not recommended
    AI recommended (in order):
    1. BLIP
    2. BLIP-2
    3. ViT-GPT2
    4. OFA
    5. CoCa

    AI recommended 5 alternatives but never named rmokady/CLIP_prefix_caption. 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 rmokady/CLIP_prefix_caption?
    pass
    AI named rmokady/CLIP_prefix_caption explicitly

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

  • If a team adopts rmokady/CLIP_prefix_caption in production, what risks or prerequisites should they evaluate first?
    pass
    AI named rmokady/CLIP_prefix_caption 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 rmokady/CLIP_prefix_caption solve, and who is the primary audience?
    pass
    AI did not name rmokady/CLIP_prefix_caption — 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

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MARKDOWN (README)
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rmokady/CLIP_prefix_caption — 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