RRepoGEO

REPOGEO REPORT · LITE

OFA-Sys/OFA

Default branch main · commit a36b91ce · scanned 5/10/2026, 5:23:02 PM

GitHub: 2,557 stars · 249 forks

AI VISIBILITY SCORE
57 /100
Needs work
Category recall
1 / 2
Avg rank #5.0 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 OFA-Sys/OFA, 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
    Emphasize Chinese language support for multimodal tasks in the README introduction

    Why:

    CURRENT
    OFA is a unified sequence-to-sequence pretrained model (support **English** and **Chinese**) that unifies modalities (i.e., cross-modality, vision, language) and tasks (**finetuning** and **prompt tuning** are supported): image captioning (1st at the MSCOCO Leaderboard), VQA (link), visual grounding, text-to-image generation, text classification, text generation, image classification, etc.
    COPY-PASTE FIX
    OFA is a unified sequence-to-sequence pretrained model that supports both **English** and **Chinese** across various modalities (cross-modality, vision, language) and tasks. It excels in multimodal tasks like image captioning, VQA, visual grounding, and text-to-image generation, with strong support for Chinese language applications in these areas. Both **finetuning** and **prompt tuning** are supported.
  • mediumhomepage#2
    Add the Hugging Face demo link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://huggingface.co/ofa-sys
  • lowreadme#3
    Add a concise, direct summary sentence at the very top of the README

    Why:

    COPY-PASTE FIX
    Insert the following sentence as the absolute first line of text in the README, before any badges or navigation links: 'OFA is a unified sequence-to-sequence model for English and Chinese, excelling in multimodal tasks like image captioning, VQA, and text-to-image generation.'

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 OFA-Sys/OFA
Avg rank
#5.0
Lower is better. #1 = top recommendation.
Share of voice
7%
Of all named tools, what % are you?
Top rival
QwenLM/Qwen-VL
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. QwenLM/Qwen-VL · recommended 2×
  2. ViLT · recommended 1×
  3. BLIP · recommended 1×
  4. Flamingo · recommended 1×
  5. CLIP · recommended 1×
  • CATEGORY QUERY
    What unified model can handle both vision and language tasks like image captioning and VQA?
    you: #5
    AI recommended (in order):
    1. ViLT
    2. BLIP
    3. Flamingo
    4. CLIP
    5. OFA ← you
    6. UNITER
    Show full AI answer
  • CATEGORY QUERY
    Looking for a multimodal model supporting Chinese for text-to-image synthesis and visual question answering.
    you: not recommended
    AI recommended (in order):
    1. DALL-E 3
    2. CogView3
    3. GLM-4
    4. Stable Diffusion XL (Stability-AI/StableDiffusionXL)
    5. Qwen-VL-Max (QwenLM/Qwen-VL)
    6. Qwen-VL-Chat (QwenLM/Qwen-VL)
    7. LLaVA (haotian-liu/LLaVA)
    8. MiniGPT-4 (Vision-CAIR/MiniGPT-4)
    9. MiniGPT-v2 (Vision-CAIR/MiniGPT-v2)

    AI recommended 9 alternatives but never named OFA-Sys/OFA. 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 OFA-Sys/OFA?
    pass
    AI named OFA-Sys/OFA explicitly

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

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