RRepoGEO

REPOGEO REPORT · LITE

01-ai/Yi

Default branch main · commit f73194cc · scanned 5/10/2026, 6:02:51 PM

GitHub: 7,821 stars · 486 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 01-ai/Yi, 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
    Add a concise, explicit positioning statement to the top of the README

    Why:

    CURRENT
    The README currently starts with a language selector, followed by logos and badges, before any explicit textual positioning.
    COPY-PASTE FIX
    <p align="left">
    &nbspEnglish&nbsp | &nbsp; <a href="README_CN.md">中文</a>
</p>

**Yi is a series of high-performance, open-source, and bilingual large language models developed by 01-ai, distinguished by their exceptionally long context windows.**

<br><br>

<div align="center">
  • mediumtopics#2
    Expand GitHub Topics with more specific keywords

    Why:

    CURRENT
    large-language-models
    COPY-PASTE FIX
    large-language-models, llm, open-source-llm, bilingual-llm, long-context-llm, generative-ai, deep-learning, ai-models
  • lowreadme#3
    Add a 'Key Features' section to highlight differentiators

    Why:

    COPY-PASTE FIX
    ## Key Features

-   **Open-Source & Bilingual:** Yi models are developed by 01-ai, offering robust performance in both English and Chinese.
-   **Extended Context Window:** Our models, including 6B and 34B versions, support exceptionally long context windows up to 200K tokens.
-   **High Performance:** Designed for efficient inference and broad applicability across various AI tasks.

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 01-ai/Yi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Llama 3
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Llama 3 · recommended 1×
  2. Mixtral 8x7B · recommended 1×
  3. Gemma · recommended 1×
  4. Mistral 7B · recommended 1×
  5. Falcon · recommended 1×
  • CATEGORY QUERY
    Which open-source large language models are suitable for building custom AI applications?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mixtral 8x7B
    3. Gemma
    4. Mistral 7B
    5. Falcon
    6. Code Llama
    7. Phi-3

    AI recommended 7 alternatives but never named 01-ai/Yi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an open-source large language model with strong bilingual capabilities.
    you: not recommended
    AI recommended (in order):
    1. Meta Llama 3
    2. Mistral 7B Instruct
    3. Mixtral 8x7B Instruct
    4. Qwen1.5
    5. Falcon 180B Instruct
    6. BLOOM

    AI recommended 6 alternatives but never named 01-ai/Yi. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 01-ai/Yi?
    pass
    AI named 01-ai/Yi explicitly

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

  • If a team adopts 01-ai/Yi in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 01-ai/Yi 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 01-ai/Yi solve, and who is the primary audience?
    pass
    AI named 01-ai/Yi 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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01-ai/Yi — 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