RRepoGEO

REPOGEO REPORT · LITE

jzhang38/EasyContext

Default branch main · commit 6b0d3104 · scanned 5/29/2026, 7:43:19 AM

GitHub: 759 stars · 52 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 jzhang38/EasyContext, 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
  • highreadme#1
    Add an explicit tagline to the README's H1 to clarify 'context'

    Why:

    CURRENT
    # EasyContext

<p align="center">
  
</p>

<p align="center">
    🤗 <a href="https://huggingface.co/collections/PY007/easycontext-660cef5a02b514836996b782" target="_blank">Hugging Face</a>
</p>
    COPY-PASTE FIX
    # EasyContext

A toolkit for extending Large Language Model (LLM) context windows.

<p align="center">
  
</p>

<p align="center">
    🤗 <a href="https://huggingface.co/collections/PY007/easycontext-660cef5a02b514836996b782" target="_blank">Hugging Face</a>
</p>
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://huggingface.co/collections/PY007/easycontext-660cef5a02b514836996b782

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 jzhang38/EasyContext
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Perplexity AI
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Perplexity AI · recommended 2×
  2. LongRoPE · recommended 1×
  3. StreamingLLM · recommended 1×
  4. YaRN · recommended 1×
  5. NTK-aware Scaled RoPE · recommended 1×
  • CATEGORY QUERY
    How can I efficiently extend large language model context windows without massive compute?
    you: not recommended
    AI recommended (in order):
    1. LongRoPE
    2. StreamingLLM
    3. YaRN
    4. NTK-aware Scaled RoPE
    5. Perplexity AI
    6. FAISS
    7. Pinecone
    8. FlashAttention-2

    AI recommended 8 alternatives but never named jzhang38/EasyContext. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for practical techniques to scale language model context length to millions of tokens.
    you: not recommended
    AI recommended (in order):
    1. PyTorch (pytorch/pytorch)
    2. Hugging Face Transformers (huggingface/transformers)
    3. StreamingLLM (mit-han-lab/streaming-llm)
    4. vLLM (vllm-project/vllm)
    5. TGI (Text Generation Inference) (huggingface/text-generation-inference)
    6. Perplexity AI
    7. Longformer (allenai/longformer)
    8. BigBird (google-research/bigbird)
    9. Reformer (google/trax)

    AI recommended 9 alternatives but never named jzhang38/EasyContext. 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 jzhang38/EasyContext?
    pass
    AI named jzhang38/EasyContext explicitly

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

  • If a team adopts jzhang38/EasyContext in production, what risks or prerequisites should they evaluate first?
    pass
    AI named jzhang38/EasyContext 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 jzhang38/EasyContext solve, and who is the primary audience?
    pass
    AI named jzhang38/EasyContext 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 jzhang38/EasyContext. 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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jzhang38/EasyContext — 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