RRepoGEO

REPOGEO REPORT · LITE

openai/openai-cs-agents-demo

Default branch main · commit bd7bfca0 · scanned 6/26/2026, 1:03:51 AM

GitHub: 6,412 stars · 992 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /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
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 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README H1 to clarify developer-focused demo nature

    Why:

    CURRENT
    This repository contains a demo of a Customer Service interface built on top of the OpenAI Agents SDK.
    COPY-PASTE FIX
    This repository is a developer-focused demo and template for building a Customer Service interface using the OpenAI Agents SDK.
  • mediumhomepage#2
    Add a homepage URL

    Why:

    COPY-PASTE FIX
    https://github.com/openai/openai-cs-agents-demo

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
Gorgias
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Gorgias · recommended 1×
  2. Zendesk · recommended 1×
  3. Intercom · recommended 1×
  4. Ada · recommended 1×
  5. LivePerson · recommended 1×
  • CATEGORY QUERY
    How to build an AI-driven customer support chat with agent orchestration?
    you: not recommended
    AI recommended (in order):
    1. Gorgias
    2. Zendesk
    3. Intercom
    4. Ada
    5. LivePerson
    6. Google Dialogflow ES/CX
    7. Microsoft Azure Bot Service
    8. Azure Cognitive Services

    AI recommended 8 alternatives but never named openai/openai-cs-agents-demo. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a Python backend example for conversational AI with a web UI.
    you: not recommended
    AI recommended (in order):
    1. Rasa Open Source (RasaHQ/rasa)
    2. React (facebook/react)
    3. Vue.js (vuejs/core)
    4. Streamlit (streamlit/streamlit)
    5. spaCy (explosion/spaCy)
    6. NLTK (nltk/nltk)
    7. Hugging Face Transformers (huggingface/transformers)
    8. Gradio (gradio-app/gradio)
    9. Flask (pallets/flask)
    10. Django (django/django)
    11. jQuery (jquery/jquery)
    12. FastAPI (tiangolo/fastapi)
    13. Panel (holoviz/panel)

    AI recommended 13 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 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?

  • 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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  • Brand-free category queries5 vs 2 in Lite
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