RRepoGEO

REPOGEO REPORT · LITE

zjunlp/EasyEdit

Default branch main · commit b3c42476 · scanned 5/28/2026, 3:43:31 PM

GitHub: 2,829 stars · 365 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 zjunlp/EasyEdit, 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 opening to immediately state the core value

    Why:

    CURRENT
    The current README excerpt starts with navigation links and 'Key News' before any core value statement.
    COPY-PASTE FIX
    Add the following text as the very first visible content in your README: 'EasyEdit is an easy-to-use, unified framework for knowledge editing in Large Language Models (LLMs). It integrates various state-of-the-art editing methods and comprehensive evaluation tools, simplifying the process of updating or correcting factual knowledge in LLMs without expensive full retraining.'
  • mediumcomparison#2
    Add a 'Comparison with Alternatives' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to your README titled 'Why EasyEdit? (Comparison with Alternatives)' or similar, detailing how EasyEdit stands out from specific methods (e.g., ROME, MEMIT, MEND, SERAC) by offering a unified framework, ease of use, and comprehensive evaluation capabilities.
  • lowtopics#3
    Add more specific topics related to 'framework' and 'evaluation' for knowledge editing

    Why:

    CURRENT
    artificial-intelligence, baichuan, chatgpt, cknowedit, easyedit, easyedit2, efficient, gpt, knowedit, knowledge-editing, knowlm, large-language-models, llama, mmedit, model-editing, natural-language-processing, safeedit, tool, trustworthy-ai, unlearning
    COPY-PASTE FIX
    Add the following topics to your existing list: `llm-knowledge-editing-framework`, `model-editing-evaluation`, `llm-unlearning-framework`.

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 zjunlp/EasyEdit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
ROME
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. ROME · recommended 2×
  2. MEMIT · recommended 2×
  3. LoRA · recommended 2×
  4. MEND · recommended 1×
  5. SERAC · recommended 1×
  • CATEGORY QUERY
    What tools help update factual knowledge in large language models without full retraining?
    you: not recommended
    AI recommended (in order):
    1. ROME
    2. MEND
    3. SERAC
    4. MEMIT
    5. LoRA
    6. LlamaIndex
    7. LangChain
    8. TransE
    9. ComplEx
    10. RotatE

    AI recommended 10 alternatives but never named zjunlp/EasyEdit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an efficient framework for editing or unlearning specific knowledge in LLMs.
    you: not recommended
    AI recommended (in order):
    1. TRL (huggingface/trl)
    2. ROME
    3. MEMIT
    4. LoRA
    5. Knowledge Editor
    6. PEFT library (huggingface/peft)

    AI recommended 6 alternatives but never named zjunlp/EasyEdit. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 zjunlp/EasyEdit?
    pass
    AI named zjunlp/EasyEdit explicitly

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

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