RRepoGEO

REPOGEO REPORT · LITE

X-D-Lab/MindChat

Default branch main · commit 8309768d · scanned 5/30/2026, 11:47:41 AM

GitHub: 714 stars · 59 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 X-D-Lab/MindChat, 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 domain-focused topics

    Why:

    CURRENT
    baichuan-13b, chatglm2-6b, chatgpt, domain-llm, internlm, large-language-models, llm, lora, qlora, qwen, qwen-7b, qwen1-5, qwen2
    COPY-PASTE FIX
    baichuan-13b, chatglm2-6b, chatgpt, domain-llm, internlm, large-language-models, llm, lora, qlora, qwen, qwen-7b, qwen1-5, qwen2, mental-health, psychological-counseling, therapeutic-ai, healthcare-llm, ai-for-mental-health
  • highreadme#2
    Strengthen README's opening statement for domain specialization

    Why:

    CURRENT
    <h1 align="center">🐋MindChat(漫谈): 心理大模型</h1> <div align=center></div> <h3 align="center">漫谈人生路, 笑对风霜途</h3>
    COPY-PASTE FIX
    <h1 align="center">🐋MindChat(漫谈): 心理大模型</h1> <div align=center></div> <h3 align="center">漫谈人生路, 笑对风霜途</h3> <p align="center">MindChat is an open-source large language model specifically designed for psychological counseling and mental health support, enabling the development of therapeutic AI applications.</p>
  • mediumhomepage#3
    Add a project homepage URL

    Why:

    COPY-PASTE FIX
    https://huggingface.co/X-D-Lab

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 X-D-Lab/MindChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mental-LLM
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mental-LLM · recommended 1×
  2. PsyMed-Llama · recommended 1×
  3. Llama 2 · recommended 1×
  4. Mistral 7B / Mixtral 8x7B · recommended 1×
  5. OpenAssistant Pythia · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source large language model specialized in psychological counseling or mental health support.
    you: not recommended
    AI recommended (in order):
    1. Mental-LLM
    2. PsyMed-Llama
    3. Llama 2
    4. Mistral 7B / Mixtral 8x7B
    5. OpenAssistant Pythia
    6. Falcon
    7. Dolly 2.0

    AI recommended 7 alternatives but never named X-D-Lab/MindChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Which large language models are best suited for building mental health chatbots or therapeutic AI?
    you: not recommended
    AI recommended (in order):
    1. GPT-4
    2. Claude 3 Opus / Sonnet
    3. Llama 3
    4. Mistral Large / Mixtral 8x7B
    5. Gemini 1.5 Pro
    6. Cohere Command R+

    AI recommended 6 alternatives but never named X-D-Lab/MindChat. 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 X-D-Lab/MindChat?
    pass
    AI named X-D-Lab/MindChat explicitly

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

  • If a team adopts X-D-Lab/MindChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named X-D-Lab/MindChat 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 X-D-Lab/MindChat solve, and who is the primary audience?
    pass
    AI named X-D-Lab/MindChat explicitly

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

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