RRepoGEO

REPOGEO REPORT · LITE

01-ai/Yi

Default branch main · commit f73194cc · scanned 6/20/2026, 5:22:49 PM

GitHub: 7,822 stars · 489 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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
  • hightopics#1
    Expand repository topics to include key differentiators

    Why:

    CURRENT
    large-language-models
    COPY-PASTE FIX
    large-language-models, bilingual-llm, open-source-llm, llm, generative-ai
  • highabout#2
    Refine the repository description to highlight core features

    Why:

    CURRENT
    A series of large language models trained from scratch by developers @01-ai
    COPY-PASTE FIX
    A family of performant, open-source, and bilingual large language models (LLMs) developed by 01-ai, known for their long context windows.
  • mediumreadme#3
    Add a concise introductory sentence to the README

    Why:

    COPY-PASTE FIX
    Add the following sentence immediately after the `<h3>` tag: `Yi is a family of open-source and bilingual large language models, designed for high performance and long context understanding.`

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
XGLM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. XGLM · recommended 1×
  2. mT5 · recommended 1×
  3. BLOOM · recommended 1×
  4. mBERT · recommended 1×
  5. NLLB · recommended 1×
  • CATEGORY QUERY
    What open-source large language models are good for bilingual applications?
    you: not recommended
    AI recommended (in order):
    1. XGLM
    2. mT5
    3. BLOOM
    4. mBERT
    5. NLLB
    6. Gemma

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

    Show full AI answer
  • CATEGORY QUERY
    Looking for performant, freely available LLMs to integrate into custom applications.
    you: not recommended
    AI recommended (in order):
    1. Llama 3 (8B Instruct / 70B Instruct)
    2. Mixtral 8x7B Instruct
    3. Gemma (2B Instruct / 7B Instruct)
    4. Mistral 7B Instruct
    5. Phi-3-mini-4k-instruct
    6. Falcon 7B Instruct / 40B Instruct
    7. Zephyr-7B-beta

    AI recommended 7 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?

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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