RRepoGEO

REPOGEO REPORT · LITE

win4r/lossless-claw-enhanced

Default branch main · commit a5f3f5e4 · scanned 6/4/2026, 11:27:48 PM

GitHub: 544 stars · 109 forks

AI VISIBILITY SCORE
27 /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
1 / 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 win4r/lossless-claw-enhanced, 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
  • highabout#1
    Update the repository description to reflect deprecation and correct domain

    Why:

    CURRENT
    Fork of Martian-Engineering/lossless-claw with CJK-aware token estimation
    COPY-PASTE FIX
    DEPRECATED: Use upstream Martian-Engineering/lossless-claw. This was a fork for CJK-aware lossless context management for AI models.
  • highreadme#2
    Reposition the README H1 to specify deprecation and category

    Why:

    CURRENT
    # 🦞lossless-claw-enhanced
    COPY-PASTE FIX
    # 🦞lossless-claw-enhanced (DEPRECATED: Use upstream Martian-Engineering/lossless-claw for AI context management)
  • mediumtopics#3
    Add more descriptive and deprecation-related topics

    Why:

    CURRENT
    openclaw, openclaw-plugin, openclaw-skills
    COPY-PASTE FIX
    ai-context-management, nlp, cjk-language-support, openclaw-plugin, deprecated

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 win4r/lossless-claw-enhanced
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. Weaviate · recommended 1×
  3. Milvus · recommended 1×
  4. Chroma · recommended 1×
  5. Claude 3 Opus/Sonnet · recommended 1×
  • CATEGORY QUERY
    How to implement lossless context management for AI models dealing with long conversations?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Milvus
    4. Chroma
    5. Claude 3 Opus/Sonnet
    6. GPT-4 Turbo
    7. Gemini 1.5 Pro
    8. LangChain
    9. LlamaIndex
    10. PostgreSQL
    11. MongoDB

    AI recommended 11 alternatives but never named win4r/lossless-claw-enhanced. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Are there context management plugins for AI systems with CJK language support?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Pinecone
    4. Weaviate (weaviate/weaviate)
    5. Milvus (milvus-io/milvus)
    6. Chroma (chroma-core/chroma)
    7. Hugging Face Transformers Library (huggingface/transformers)

    AI recommended 7 alternatives but never named win4r/lossless-claw-enhanced. 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 win4r/lossless-claw-enhanced?
    pass
    AI did not name win4r/lossless-claw-enhanced — likely talking about a different project

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

  • If a team adopts win4r/lossless-claw-enhanced in production, what risks or prerequisites should they evaluate first?
    pass
    AI named win4r/lossless-claw-enhanced 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 win4r/lossless-claw-enhanced solve, and who is the primary audience?
    pass
    AI did not name win4r/lossless-claw-enhanced — likely talking about a different project

    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 win4r/lossless-claw-enhanced. 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/win4r/lossless-claw-enhanced.svg)](https://repogeo.com/en/r/win4r/lossless-claw-enhanced)
HTML
<a href="https://repogeo.com/en/r/win4r/lossless-claw-enhanced"><img src="https://repogeo.com/badge/win4r/lossless-claw-enhanced.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

win4r/lossless-claw-enhanced — 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