RRepoGEO

REPOGEO REPORT · LITE

DachengLi1/LongChat

Default branch longeval · commit 4b5faa52 · scanned 5/30/2026, 2:03:32 AM

GitHub: 534 stars · 31 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 DachengLi1/LongChat, 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 descriptive topics to the repository

    Why:

    COPY-PASTE FIX
    llm, large-language-models, long-context, chatbot, fine-tuning, evaluation, llama, deep-learning, nlp, research
  • mediumhomepage#2
    Set a homepage URL for the repository

    Why:

    COPY-PASTE FIX
    [Insert URL to project page, paper, or the repository itself]
  • lowreadme#3
    Add a 'Key Features' or 'What LongChat Offers' section to the README

    Why:

    COPY-PASTE FIX
    Add a section like:

## Key Features
- Training scripts for long-context LLMs (e.g., Llama 2 32K)
- Evaluation tools for assessing long-context chatbot performance
- Support for various LLM architectures and context extension techniques
- Easy environment setup and usage examples

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 DachengLi1/LongChat
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LongRoPE
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LongRoPE · recommended 1×
  2. YaRN · recommended 1×
  3. NTK-aware Scaled RoPE · recommended 1×
  4. FlashAttention-2 · recommended 1×
  5. Llama 2 70B 32k · recommended 1×
  • CATEGORY QUERY
    How can I fine-tune large language models to handle extremely long conversational contexts?
    you: not recommended
    AI recommended (in order):
    1. LongRoPE
    2. YaRN
    3. NTK-aware Scaled RoPE
    4. FlashAttention-2
    5. Llama 2 70B 32k
    6. Perplexity AI's ppo-7b-long-context
    7. Mistral 7B Instruct v0.2
    8. Llama 3 8B
    9. FAISS
    10. Pinecone
    11. Weaviate

    AI recommended 11 alternatives but never named DachengLi1/LongChat. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for developing and evaluating chatbots that maintain very long context memory?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Rasa
    4. Haystack
    5. Microsoft Semantic Kernel
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named DachengLi1/LongChat. 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 DachengLi1/LongChat?
    pass
    AI named DachengLi1/LongChat explicitly

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

  • If a team adopts DachengLi1/LongChat in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DachengLi1/LongChat 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 DachengLi1/LongChat solve, and who is the primary audience?
    pass
    AI named DachengLi1/LongChat 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 DachengLi1/LongChat. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/DachengLi1/LongChat.svg)](https://repogeo.com/en/r/DachengLi1/LongChat)
HTML
<a href="https://repogeo.com/en/r/DachengLi1/LongChat"><img src="https://repogeo.com/badge/DachengLi1/LongChat.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

DachengLi1/LongChat — 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