RRepoGEO

REPOGEO REPORT · LITE

sambanova/bloomchat

Default branch main · commit 7399370c · scanned 6/6/2026, 3:32:40 PM

GitHub: 583 stars · 52 forks

AI VISIBILITY SCORE
28 /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
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 sambanova/bloomchat, 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
    Reposition the README's main heading to emphasize the BLOOMChat model

    Why:

    CURRENT
    # BLOOMChat Training Repo
    COPY-PASTE FIX
    # BLOOMChat: Official Training and Inference Code for the 176B Multilingual Chat Model
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    large-language-model, llm, bloom, chat-model, multilingual, instruction-tuning, deep-learning, ai-model-training, nlp, conversational-ai
  • mediumreadme#3
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    This project is licensed under [Specify License Name(s) and Version(s) here, e.g., 'a custom license based on Apache 2.0 and MIT']. Please refer to the LICENSE file for full details.

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 sambanova/bloomchat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers · recommended 1×
  2. DeepSpeed · recommended 1×
  3. FairSeq · recommended 1×
  4. PyTorch Lightning · recommended 1×
  5. TensorFlow · recommended 1×
  • CATEGORY QUERY
    How to train a massive multilingual chat model for conversational AI applications?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers
    2. DeepSpeed
    3. FairSeq
    4. PyTorch Lightning
    5. TensorFlow
    6. JAX

    AI recommended 6 alternatives but never named sambanova/bloomchat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for instruction-tuned large language models capable of multi-language question answering.
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus
    3. Gemini 1.5 Pro
    4. Mistral Large
    5. Llama 3
    6. Cohere Command R+

    AI recommended 6 alternatives but never named sambanova/bloomchat. 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 sambanova/bloomchat?
    pass
    AI named sambanova/bloomchat explicitly

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

  • If a team adopts sambanova/bloomchat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named sambanova/bloomchat 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 sambanova/bloomchat solve, and who is the primary audience?
    pass
    AI did not name sambanova/bloomchat — 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?

Embed your GEO score

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sambanova/bloomchat — 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