RRepoGEO

REPOGEO REPORT · LITE

MemeMeow-Studio/MemeMeow

Default branch main · commit ee51d6eb · scanned 5/24/2026, 12:48:01 PM

GitHub: 1,251 stars · 41 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 MemeMeow-Studio/MemeMeow, 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 README's opening to emphasize specialized natural language meme retrieval

    Why:

    COPY-PASTE FIX
    Add the following sentence to the README's introductory section, ideally right after the main title/logo and before the 'Features' link list: 'MemeMeow 是一个专注于**自然语言检索**的**表情包搜索引擎**，尤其擅长通过语义搜索快速找到**特定主题（如张维为）**的表情包，而非生成新表情。'
  • mediumtopics#2
    Add more specific application-level topics

    Why:

    CURRENT
    artificial-intelligence, embeddings-word2vec, python, streamlit, streamlit-webapp
    COPY-PASTE FIX
    artificial-intelligence, embeddings-word2vec, python, streamlit, streamlit-webapp, image-retrieval, natural-language-processing, meme-search, semantic-search, vector-search, chinese-language
  • lowreadme#3
    Add a 'Comparison to other tools' section in the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled '## 🆚 MemeMeow 与其他工具的对比' with content similar to: 'MemeMeow 是一款专注于特定内容（如张维为表情包）的自然语言表情包检索应用，而非通用的表情包生成器、大型语言模型或向量数据库。它旨在提供一个即用型的解决方案，帮助用户通过描述快速找到现有表情包，而不是从头创建或作为底层技术栈使用。'

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 MemeMeow-Studio/MemeMeow
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Weaviate
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Weaviate · recommended 2×
  2. Pinecone · recommended 2×
  3. OpenAI CLIP · recommended 1×
  4. DALL-E 3 · recommended 1×
  5. Midjourney · recommended 1×
  • CATEGORY QUERY
    How to implement natural language queries for image retrieval and AI-generated visual responses?
    you: not recommended
    AI recommended (in order):
    1. OpenAI CLIP
    2. DALL-E 3
    3. Midjourney
    4. Stable Diffusion
    5. Hugging Face Transformers
    6. FAISS
    7. Weaviate
    8. Pinecone
    9. Sentence-BERT
    10. Google Cloud Vision API
    11. Azure Cognitive Services
    12. Google Cloud AI Platform
    13. Azure Machine Learning
    14. Elasticsearch

    AI recommended 14 alternatives but never named MemeMeow-Studio/MemeMeow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What Python libraries are best for building a web app to search image embeddings?
    you: not recommended
    AI recommended (in order):
    1. Faiss
    2. Hnswlib
    3. Annoy
    4. Scikit-learn
    5. Pinecone
    6. Weaviate
    7. Qdrant

    AI recommended 7 alternatives but never named MemeMeow-Studio/MemeMeow. 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 MemeMeow-Studio/MemeMeow?
    pass
    AI named MemeMeow-Studio/MemeMeow explicitly

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

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

Subscribe to Pro for deep diagnoses

MemeMeow-Studio/MemeMeow — 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