RRepoGEO

REPOGEO REPORT · LITE

PeterH0323/Streamer-Sales

Default branch main · commit 11acb44b · scanned 5/26/2026, 3:22:31 AM

GitHub: 3,696 stars · 564 forks

AI VISIBILITY SCORE
33 /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
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 PeterH0323/Streamer-Sales, 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
    Clarify the README's introductory paragraph to emphasize its full-stack application nature for AI sales content generation

    Why:

    CURRENT
    **Streamer-Sales 销冠 —— 卖货主播大模型** 是一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。
    COPY-PASTE FIX
    **Streamer-Sales 销冠 —— 卖货主播大模型** 是一个**全栈的AI应用**，旨在为直播销售和门店推广提供**一站式AI内容生成解决方案**。它能够根据商品特点，从激发用户购买意愿的角度出发，生成生动精准的商品解说词，并集成数字人视频、RAG、Agent、TTS、ASR等先进功能。
  • mediumabout#2
    Refine the 'about' description for conciseness and clarity on its full-stack application nature

    Why:

    CURRENT
    Streamer-Sales 销冠 —— 卖货主播 LLM 大模型🛒🎁，一个能够根据给定的商品特点从激发用户购买意愿角度出发进行商品解说的卖货主播大模型。🚀⭐内含详细的数据生成流程❗ 📦另外还集成了 LMDeploy 加速推理🚀、RAG检索增强生成 📚、TTS文字转语音🔊、数字人生成 🦸、 Agent 使用网络查询实时信息🌐、ASR 语音转文字🎙️、Vue 生态搭建前端🍍、FastAPI 搭建后端🗝️、Docker-compose 打包部署🐋
    COPY-PASTE FIX
    Streamer-Sales 销冠是一个全栈的AI卖货主播大模型应用，能根据商品特点生成激发购买欲的解说词，并集成数字人视频、RAG、Agent、TTS、ASR等功能，提供一站式AI内容生成解决方案，支持Vue前端、FastAPI后端和Docker-compose部署。
  • mediumtopics#3
    Add specific topics to highlight its full-stack application nature and direct use case

    Why:

    CURRENT
    asr, chat, chat-application, chatbot, chatgpt, digital-human, gpt, internlm-chat-7b, internlm2, llm, meta-human, rag, text-generation, tts
    COPY-PASTE FIX
    llm, rag, tts, asr, digital-human, chatbot, text-generation, ai-sales-assistant, live-streaming, virtual-streamer, full-stack-application, vuejs, fastapi, docker-compose, product-description-generation

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 PeterH0323/Streamer-Sales
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. OpenAI API · recommended 1×
  4. GPT-4 · recommended 1×
  5. DALL-E 3 · recommended 1×
  • CATEGORY QUERY
    How can I build an AI sales assistant that generates engaging product descriptions and virtual streamer videos?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. GPT-4
    3. DALL-E 3
    4. Whisper
    5. ElevenLabs
    6. Synthesia
    7. HeyGen
    8. LangChain
    9. LlamaIndex
    10. Hugging Face Transformers
    11. Canva
    12. Adobe Express

    AI recommended 12 alternatives but never named PeterH0323/Streamer-Sales. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks support creating an AI sales agent with RAG, web search, and voice capabilities?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. OpenAI Assistants API
    5. Haystack
    6. Voiceflow
    7. DeepPavlov

    AI recommended 7 alternatives but never named PeterH0323/Streamer-Sales. 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 PeterH0323/Streamer-Sales?
    pass
    AI did not name PeterH0323/Streamer-Sales — 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 PeterH0323/Streamer-Sales in production, what risks or prerequisites should they evaluate first?
    pass
    AI named PeterH0323/Streamer-Sales 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 PeterH0323/Streamer-Sales solve, and who is the primary audience?
    pass
    AI named PeterH0323/Streamer-Sales explicitly

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

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