RRepoGEO

REPOGEO REPORT · LITE

xushengfeng/lime

Default branch master · commit e108ef72 · scanned 5/31/2026, 2:01:52 AM

GitHub: 662 stars · 29 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 xushengfeng/lime, 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 H1 and opening sentence to clarify its unique niche

    Why:

    CURRENT
    # LIME

llm 驱动的输入法。目前支持拼音。
    COPY-PASTE FIX
    # LIME - 大模型驱动的拼音输入法 (LLM-powered Pinyin Input Method)

LIME 是一个创新的、由大型语言模型 (LLM) 驱动的拼音输入法，目前支持中文拼音输入。它利用本地运行的 Qwen3-0.6B 等小型LLM，为用户提供智能的词语联想和预测，旨在兼顾打字速度和准确性。
  • mediumtopics#2
    Add more specific and descriptive topics

    Why:

    CURRENT
    ime, llm, pinyin, qwen3, rime
    COPY-PASTE FIX
    ime, llm, pinyin, qwen3, rime, input-method, chinese-input, nlp, local-llm, text-prediction, deno
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/xushengfeng/lime

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 xushengfeng/lime
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
rime/rime-ime
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. rime/rime-ime · recommended 1×
  2. OpenNMT/CTranslate2 · recommended 1×
  3. ggerganov/llama.cpp · recommended 1×
  4. LLaMA · recommended 1×
  5. Mistral · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source pinyin input method leveraging a local large language model.
    you: not recommended
    AI recommended (in order):
    1. Rime Input Method Engine (rime/rime-ime)
    2. ctranslate2 (OpenNMT/CTranslate2)
    3. llama.cpp (ggerganov/llama.cpp)
    4. LLaMA
    5. Mistral
    6. Gemma
    7. fcitx5 (fcitx/fcitx5)
    8. ibus (ibus/ibus)
    9. OpenVanilla (openvanilla/openvanilla)
    10. transformers (huggingface/transformers)

    AI recommended 10 alternatives but never named xushengfeng/lime. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I integrate a local AI server for advanced text prediction into my input method?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LocalAI
    4. Text Generation WebUI (oobabooga/text-generation-webui)
    5. FastAPI
    6. Hugging Face Transformers
    7. TensorFlow Serving
    8. PyTorch Serve

    AI recommended 8 alternatives but never named xushengfeng/lime. 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 xushengfeng/lime?
    pass
    AI named xushengfeng/lime explicitly

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

  • If a team adopts xushengfeng/lime in production, what risks or prerequisites should they evaluate first?
    pass
    AI named xushengfeng/lime 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 xushengfeng/lime solve, and who is the primary audience?
    pass
    AI named xushengfeng/lime 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 xushengfeng/lime. 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/xushengfeng/lime.svg)](https://repogeo.com/en/r/xushengfeng/lime)
HTML
<a href="https://repogeo.com/en/r/xushengfeng/lime"><img src="https://repogeo.com/badge/xushengfeng/lime.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

xushengfeng/lime — 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