RRepoGEO

REPOGEO REPORT · LITE

baichuan-inc/Baichuan-7B

Default branch main · commit 6f3ef463 · scanned 5/29/2026, 12:17:55 AM

GitHub: 5,657 stars · 503 forks

AI VISIBILITY SCORE
33 /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
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 baichuan-inc/Baichuan-7B, 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
  • highabout#1
    Update the repository description to highlight its open-source, bilingual, and high-performance nature.

    Why:

    CURRENT
    A large-scale 7B pretraining language model developed by BaiChuan-Inc.
    COPY-PASTE FIX
    An open-source, commercially usable 7B large language model by BaiChuan-Inc, achieving top performance in both Chinese and English NLP benchmarks.
  • highreadme#2
    Ensure the English README's introduction clearly states its open-source and commercial usability.

    Why:

    COPY-PASTE FIX
    Add the following sentence to the very beginning of the English README's introduction: 'Baichuan-7B is an open-source, commercially usable large-scale pre-trained language model developed by BaiChuan-Inc.'
  • mediumtopics#3
    Add more specific topics to improve categorization for open-source LLMs.

    Why:

    CURRENT
    artificial-intelligence, ceval, chatgpt, chinese, gpt-4, huggingface, large-language-models, llama, mmlu, natural-language-processing
    COPY-PASTE FIX
    artificial-intelligence, ceval, chatgpt, chinese, gpt-4, huggingface, large-language-models, llama, mmlu, natural-language-processing, open-source-llm, commercial-use, llm-finetuning

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 baichuan-inc/Baichuan-7B
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GPT-4
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GPT-4 · recommended 1×
  2. Claude 3 Opus · recommended 1×
  3. ERNIE 4.0 · recommended 1×
  4. GLM-4 · recommended 1×
  5. LLaMA 3 · recommended 1×
  • CATEGORY QUERY
    What are the top-performing large language models for both Chinese and English NLP tasks?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. ERNIE 4.0
    4. GLM-4
    5. LLaMA 3
    6. Qwen2

    AI recommended 6 alternatives but never named baichuan-inc/Baichuan-7B. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source 7B parameter language model suitable for commercial applications.
    you: not recommended
    AI recommended (in order):
    1. Mistral 7B Instruct v0.2
    2. Llama 2 7B Chat
    3. Zephyr 7B Beta
    4. OpenHermes-2.5-Mistral-7B
    5. Gemma 7B Instruct

    AI recommended 5 alternatives but never named baichuan-inc/Baichuan-7B. 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 baichuan-inc/Baichuan-7B?
    pass
    AI did not name baichuan-inc/Baichuan-7B — 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 baichuan-inc/Baichuan-7B in production, what risks or prerequisites should they evaluate first?
    pass
    AI named baichuan-inc/Baichuan-7B 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 baichuan-inc/Baichuan-7B solve, and who is the primary audience?
    pass
    AI named baichuan-inc/Baichuan-7B explicitly

    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 baichuan-inc/Baichuan-7B. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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baichuan-inc/Baichuan-7B — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite