RRepoGEO

REPOGEO REPORT · LITE

NVIDIA-AI-Blueprints/pdf-to-podcast

Default branch main · commit 61f01526 · scanned 6/6/2026, 10:16:19 PM

GitHub: 842 stars · 220 forks

AI VISIBILITY SCORE
27 /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
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 NVIDIA-AI-Blueprints/pdf-to-podcast, 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
    Reposition README to clarify 'blueprint' for developers

    Why:

    CURRENT
    This NVIDIA AI blueprint shows developers how to build an application that transforms PDFs into engaging audio content.
    COPY-PASTE FIX
    This NVIDIA AI blueprint provides a reference architecture and code for developers to build custom applications that transform PDFs into engaging AI-generated audio podcasts.
  • mediumtopics#2
    Add more specific topics for developer blueprints and generative AI

    Why:

    CURRENT
    nim, pdf-to-podcast, tts
    COPY-PASTE FIX
    nim, pdf-to-podcast, tts, generative-ai, ai-blueprint, developer-tools, reference-architecture, llm-applications
  • lowabout#3
    Clarify description to emphasize 'developer blueprint'

    Why:

    CURRENT
    Transform PDFs into AI podcasts for engaging on-the-go audio content.
    COPY-PASTE FIX
    An NVIDIA AI blueprint for developers to build applications that transform PDFs into AI-generated podcasts, leveraging NVIDIA NIM and LLMs.

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 NVIDIA-AI-Blueprints/pdf-to-podcast
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Speechify
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Speechify · recommended 2×
  2. Murf.ai · recommended 2×
  3. ElevenLabs · recommended 2×
  4. NaturalReader · recommended 1×
  5. Adobe Acrobat · recommended 1×
  • CATEGORY QUERY
    How can I convert long PDF documents into engaging audio summaries for easy listening?
    you: not recommended
    AI recommended (in order):
    1. Speechify
    2. NaturalReader
    3. Murf.ai
    4. Adobe Acrobat
    5. ChatGPT
    6. QuillBot
    7. ElevenLabs
    8. Adobe Acrobat Pro DC
    9. Claude
    10. Google Gemini
    11. Google Text-to-Speech
    12. Read Aloud
    13. SMMRY
    14. LibreOffice Draw
    15. Balabolka

    AI recommended 15 alternatives but never named NVIDIA-AI-Blueprints/pdf-to-podcast. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help generate AI-driven podcast episodes from research papers or reports?
    you: not recommended
    AI recommended (in order):
    1. ChatGPT / GPT-4
    2. ElevenLabs
    3. Descript
    4. Synthesys AI Studio
    5. Murf.ai
    6. Speechify
    7. Trinka AI

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