RRepoGEO

REPOGEO REPORT · LITE

microsoft/PodcastCopilot

Default branch main · commit c2f863ad · scanned 5/31/2026, 11:36:51 PM

GitHub: 649 stars · 129 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 microsoft/PodcastCopilot, 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 descriptive topics for better categorization

    Why:

    COPY-PASTE FIX
    ai, copilot, podcast, generative-ai, lang-chain, azure-ai, speech-to-text, gpt-4, dall-e, reference-architecture, demo, social-media-automation
  • highabout#2
    Update the repository description to reflect its purpose

    Why:

    CURRENT
    Build 2023 demo
    COPY-PASTE FIX
    A reference architecture and demo for building an AI-powered Podcast Copilot to generate social media posts and images from audio using Azure AI, LangChain, GPT-4, and DALL-E.
  • mediumreadme#3
    Reposition README opening to emphasize 'reference architecture' for developers

    Why:

    CURRENT
    # Podcast Copilot

This code was demonstrated at the Build 2023 keynote by Microsoft CTO Kevin Scott, illustrating the architecture of a Copilot.
    COPY-PASTE FIX
    # Podcast Copilot: An Azure AI Reference Architecture for Generative Podcast Content

This repository provides a comprehensive reference architecture and sample code for building an AI-powered Podcast Copilot. Demonstrated at the Build 2023 keynote, it illustrates how developers can orchestrate a series of machine learning models to automatically generate social media posts and images from podcast audio.

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 microsoft/PodcastCopilot
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Descript
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Descript · recommended 2×
  2. Opus Clip · recommended 1×
  3. Castmagic · recommended 1×
  4. Headliner · recommended 1×
  5. Happy Scribe · recommended 1×
  • CATEGORY QUERY
    How to automatically generate social media posts and images from podcast audio?
    you: not recommended
    AI recommended (in order):
    1. Opus Clip
    2. Castmagic
    3. Descript
    4. Headliner
    5. Happy Scribe
    6. Trint
    7. Rev.ai
    8. ChatGPT
    9. Claude
    10. Google Gemini
    11. Canva

    AI recommended 11 alternatives but never named microsoft/PodcastCopilot. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools can orchestrate AI models to create marketing content from audio transcripts?
    you: not recommended
    AI recommended (in order):
    1. Zapier
    2. OpenAI (GPT-4)
    3. Descript
    4. AssemblyAI
    5. Make
    6. Google Cloud Speech-to-Text
    7. Google Cloud Natural Language API
    8. Google Cloud Vertex AI
    9. PaLM 2
    10. Gemini
    11. AWS Step Functions
    12. AWS Transcribe
    13. AWS Comprehend
    14. AWS SageMaker JumpStart
    15. AWS Bedrock
    16. Anthropic's Claude
    17. AI21 Labs' Jurassic
    18. Azure Logic Apps
    19. Azure AI Speech-to-Text
    20. Azure AI Language Service
    21. Azure OpenAI Service
    22. Hugging Face Transformers
    23. OpenAI Whisper
    24. Contentful
    25. Strapi

    AI recommended 25 alternatives but never named microsoft/PodcastCopilot. 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 microsoft/PodcastCopilot?
    pass
    AI named microsoft/PodcastCopilot explicitly

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

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

Embed your GEO score

Drop this badge into the README of microsoft/PodcastCopilot. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/microsoft/PodcastCopilot.svg)](https://repogeo.com/en/r/microsoft/PodcastCopilot)
HTML
<a href="https://repogeo.com/en/r/microsoft/PodcastCopilot"><img src="https://repogeo.com/badge/microsoft/PodcastCopilot.svg" alt="RepoGEO" /></a>
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