RRepoGEO

REPOGEO REPORT · LITE

togethercomputer/OpenChatKit

Default branch main · commit a7094aa5 · scanned 5/27/2026, 10:52:55 PM

GitHub: 8,987 stars · 1,003 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 togethercomputer/OpenChatKit, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    An open-source toolkit for building, training, and augmenting custom instruction-tuned large language models for chat applications.
  • mediumreadme#2
    Refine the README's opening sentence for clearer positioning

    Why:

    CURRENT
    # OpenChatKit

OpenChatKit provides a powerful, open-source base to create both specialized and general purpose models for various applications.
    COPY-PASTE FIX
    # OpenChatKit

OpenChatKit is a comprehensive, open-source toolkit for building, training, and augmenting custom instruction-tuned large language models specifically designed for chat applications.

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 togethercomputer/OpenChatKit
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. Mistral 7B / Mixtral 8x7B · recommended 1×
  3. Gemma · recommended 1×
  4. Falcon · recommended 1×
  5. Google Cloud Vertex AI · recommended 1×
  • CATEGORY QUERY
    How can I build a custom instruction-tuned large language model for my application?
    you: not recommended
    AI recommended (in order):
    1. Llama 3
    2. Mistral 7B / Mixtral 8x7B
    3. Gemma
    4. Falcon
    5. Google Cloud Vertex AI
    6. AWS SageMaker JumpStart
    7. Azure Machine Learning
    8. PyTorch
    9. TensorFlow
    10. Argilla
    11. Hugging Face Transformers
    12. PEFT (Parameter-Efficient Fine-Tuning) library
    13. trl
    14. bitsandbytes

    AI recommended 14 alternatives but never named togethercomputer/OpenChatKit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help augment open-source chat models with up-to-date information from custom data?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. LangChain
    3. Haystack
    4. Chroma
    5. Weaviate
    6. FAISS
    7. Pinecone

    AI recommended 7 alternatives but never named togethercomputer/OpenChatKit. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 togethercomputer/OpenChatKit?
    pass
    AI named togethercomputer/OpenChatKit explicitly

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

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