RRepoGEO

REPOGEO REPORT · LITE

icey1287/SuperMew

Default branch main · commit a2c0d1bd · scanned 6/16/2026, 7:07:37 PM

GitHub: 707 stars · 133 forks

AI VISIBILITY SCORE
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
2 / 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 icey1287/SuperMew, 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 clearly state the project's purpose

    Why:

    CURRENT
    # SuperMew 项目说明

Agent的项目记录，方便后续持续更新与展示。
    COPY-PASTE FIX
    # SuperMew: Agentic RAG with LangChain & LangGraph

SuperMew is an open-source project demonstrating an advanced Agentic Retrieval Augmented Generation (RAG) system built using LangChain and LangGraph. This repository serves as a comprehensive record for continuous development and showcasing of agent-based AI applications.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    agentic-ai, rag, langchain, langgraph, ai-agents, retrieval-augmented-generation, llm, python
  • mediumlicense#3
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Choose and add a standard open-source license file (e.g., MIT, Apache-2.0) to the repository root.

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 icey1287/SuperMew
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
llamaindex/llamaindex
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. llamaindex/llamaindex · recommended 1×
  2. langchain-ai/langchain · recommended 1×
  3. deepset/Haystack · recommended 1×
  4. bclavie/RAGatouille · recommended 1×
  5. facebookresearch/faiss · recommended 1×
  • CATEGORY QUERY
    How can I build a retrieval augmented generation system with autonomous AI agents?
    you: not recommended
    Show full AI answer
  • CATEGORY QUERY
    What open-source tools facilitate building scalable agentic RAG applications with vector stores?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (llamaindex/llamaindex)
    2. LangChain (langchain-ai/langchain)
    3. Haystack (deepset/Haystack)
    4. RAGatouille (bclavie/RAGatouille)
    5. Faiss (facebookresearch/faiss)
    6. Weaviate (weaviate/weaviate)
    7. Qdrant (qdrant/qdrant)

    AI recommended 7 alternatives but never named icey1287/SuperMew. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 icey1287/SuperMew?
    pass
    AI named icey1287/SuperMew explicitly

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

  • If a team adopts icey1287/SuperMew in production, what risks or prerequisites should they evaluate first?
    pass
    AI named icey1287/SuperMew 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 icey1287/SuperMew solve, and who is the primary audience?
    pass
    AI did not name icey1287/SuperMew — 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 icey1287/SuperMew. 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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MARKDOWN (README)
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icey1287/SuperMew — 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