RRepoGEO

REPOGEO REPORT · LITE

bofenghuang/vigogne

Default branch main · commit 67ea8a2a · scanned 5/30/2026, 4:46:54 PM

GitHub: 505 stars · 48 forks

AI VISIBILITY SCORE
35 /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
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 bofenghuang/vigogne, 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 to improve categorization

    Why:

    COPY-PASTE FIX
    llm, french-llm, instruction-following, chat-model, llama, llama2, falcon, flan-t5, generative-ai, nlp, french-ai
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://huggingface.co/bofenghuang/vigogne
  • lowreadme#3
    Add a sentence emphasizing the unique market gap Vigogne fills

    Why:

    COPY-PASTE FIX
    Vigogne fills a critical gap for high-quality, open-source instruction-following and chat models specifically tailored for the French language, addressing the scarcity of such resources.

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 bofenghuang/vigogne
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Camembert-base
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Camembert-base · recommended 1×
  2. FlauBERT · recommended 1×
  3. BLOOM · recommended 1×
  4. mT5 · recommended 1×
  5. XLM-RoBERTa · recommended 1×
  • CATEGORY QUERY
    Looking for open-source large language models specifically for French conversational AI applications.
    you: not recommended
    AI recommended (in order):
    1. Camembert-base
    2. FlauBERT
    3. BLOOM
    4. mT5
    5. XLM-RoBERTa
    6. Gemma (2B/7B Instruct)

    AI recommended 6 alternatives but never named bofenghuang/vigogne. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a robust instruction-following model for French text generation and fine-tuning capabilities.
    you: not recommended
    AI recommended (in order):
    1. Mistral 7B Instruct
    2. Zephyr-7B-beta
    3. OpenHermes-2.5-Mistral-7B
    4. Llama 2 7B/13B Chat
    5. Platypus2-70B-Instruct
    6. Falcon 7B/40B Instruct
    7. GPT-3.5 Turbo
    8. Cohere Command
    9. BLOOMZ
    10. BLOOMZ-7B1

    AI recommended 10 alternatives but never named bofenghuang/vigogne. 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 bofenghuang/vigogne?
    pass
    AI named bofenghuang/vigogne explicitly

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

  • If a team adopts bofenghuang/vigogne in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bofenghuang/vigogne 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 bofenghuang/vigogne solve, and who is the primary audience?
    pass
    AI named bofenghuang/vigogne 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 bofenghuang/vigogne. 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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MARKDOWN (README)
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bofenghuang/vigogne — 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