RRepoGEO

REPOGEO REPORT · LITE

openai/openai-cs-agents-demo

Default branch main · commit bd7bfca0 · scanned 5/15/2026, 9:03:36 AM

GitHub: 6,353 stars · 975 forks

AI VISIBILITY SCORE
28 /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
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 openai/openai-cs-agents-demo, 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
  • hightopics#1
    Add specific topics to the repository

    Why:

    COPY-PASTE FIX
    openai, agents, customer-service, ai-agents, python, nextjs, chatbots, sdk-example, conversational-ai, agent-orchestration
  • highreadme#2
    Reposition the README's opening to clarify purpose and audience

    Why:

    CURRENT
    # Customer Service Agents Demo
    
    [](LICENSE)
    
    This repository contains a demo of a Customer Service interface built on top of the OpenAI Agents SDK.
    COPY-PASTE FIX
    # OpenAI Customer Service Agents Demo: Build AI-Powered Chatbots with Agent Orchestration
    
    [](LICENSE)
    
    This repository provides a practical, end-to-end demonstration of building an AI-powered customer service solution using the OpenAI Agents SDK. It showcases advanced agent orchestration for conversational AI, targeting developers who want to implement robust customer support chatbots with Python and Next.js.
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    Add a relevant URL (e.g., a blog post, live demo, or official SDK documentation link) to the repository's homepage field.

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 openai/openai-cs-agents-demo
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Dialogflow CX
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Dialogflow CX · recommended 1×
  2. Google Cloud Contact Center AI (CCAI) · recommended 1×
  3. Microsoft Azure Bot Service · recommended 1×
  4. Azure Cognitive Services · recommended 1×
  5. Language Understanding - LUIS · recommended 1×
  • CATEGORY QUERY
    How to build an AI-powered customer service chatbot with agent orchestration?
    you: not recommended
    AI recommended (in order):
    1. Google Dialogflow CX
    2. Google Cloud Contact Center AI (CCAI)
    3. Microsoft Azure Bot Service
    4. Azure Cognitive Services
    5. Language Understanding - LUIS
    6. QnA Maker
    7. Microsoft Dynamics 365 Customer Service
    8. Rasa Open Source (RasaHQ/rasa)
    9. Zendesk
    10. Salesforce Service Cloud
    11. Freshdesk
    12. Amazon Lex
    13. Amazon Connect
    14. IBM Watson Assistant
    15. IBM Watson Orchestrate
    16. Intercom
    17. Drift

    AI recommended 17 alternatives but never named openai/openai-cs-agents-demo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good frameworks for developing conversational AI agents using Python?
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source
    2. Haystack
    3. LangChain
    4. DeepPavlov
    5. Botpress
    6. OpenNMT-py

    AI recommended 6 alternatives but never named openai/openai-cs-agents-demo. 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 openai/openai-cs-agents-demo?
    pass
    AI named openai/openai-cs-agents-demo explicitly

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

  • If a team adopts openai/openai-cs-agents-demo in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/openai-cs-agents-demo 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 openai/openai-cs-agents-demo solve, and who is the primary audience?
    pass
    AI did not name openai/openai-cs-agents-demo — 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?

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