RRepoGEO

REPOGEO REPORT · LITE

openai/openai-realtime-agents

Default branch main · commit 94c9e911 · scanned 5/26/2026, 7:52:45 PM

GitHub: 6,877 stars · 1,092 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-realtime-agents, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    openai, realtime-api, ai-agents, voice-agents, conversational-ai, agent-orchestration, sdk-demo, llm-agents
  • highabout#2
    Refine the repository's 'About' description

    Why:

    CURRENT
    This is a simple demonstration of more advanced, agentic patterns built on top of the Realtime API.
    COPY-PASTE FIX
    Demonstrates advanced voice agent patterns using the OpenAI Realtime API and OpenAI Agents SDK, focusing on low-latency, interruptible conversational AI with tool use and orchestration.
  • mediumhomepage#3
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    https://platform.openai.com/docs/agents-sdk

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-realtime-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
OpenAI API
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 1×
  2. Google Cloud AI Platform · recommended 1×
  3. Anthropic Claude · recommended 1×
  4. AWS Bedrock · recommended 1×
  5. Hugging Face Transformers · recommended 1×
  • CATEGORY QUERY
    How to build low-latency voice agents with tool use and complex reasoning?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Google Cloud AI Platform
    3. Anthropic Claude
    4. AWS Bedrock
    5. Hugging Face Transformers
    6. Llama 3
    7. Mixtral
    8. VOSK
    9. Whisper.cpp
    10. Bark
    11. XTTS
    12. ElevenLabs

    AI recommended 12 alternatives but never named openai/openai-realtime-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a framework to manage AI agent orchestration and state for conversational applications.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. LlamaIndex
    4. Haystack by deepset
    5. OpenAI Assistants API
    6. Botpress
    7. Rasa

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