RRepoGEO

REPOGEO REPORT · LITE

lamm-mit/PDF2Audio

Default branch main · commit e30e5881 · scanned 5/28/2026, 3:37:41 AM

GitHub: 1,372 stars · 173 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 lamm-mit/PDF2Audio, 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
  • highabout#1
    Add a concise About description for the repository

    Why:

    COPY-PASTE FIX
    Convert PDFs into editable, AI-generated audio podcasts, lectures, or summaries using OpenAI's GPT models, with options for iterative transcript refinement and custom voice selection.
  • mediumreadme#2
    Refine the README's opening paragraph to highlight AI differentiation

    Why:

    CURRENT
    This code can be used to convert PDFs into audio podcasts, lectures, summaries, and more. It uses OpenAI's GPT models for text generation and text-to-speech conversion. You can also edit a draft transcript (multiple times) and provide specific comments, or overall directives on how it could be adapted or improved.
    COPY-PASTE FIX
    PDF2Audio transforms your PDF documents into dynamic, AI-generated audio content like podcasts, lectures, or summaries. Unlike basic text-to-speech tools, it leverages OpenAI's GPT models for intelligent text generation and offers robust features for iterative transcript editing, specific feedback, and custom voice selection to refine your audio output.

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 lamm-mit/PDF2Audio
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Murf.ai
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Murf.ai · recommended 2×
  2. Speechify · recommended 2×
  3. WellSaid Labs · recommended 2×
  4. NaturalReader · recommended 2×
  5. Descript · recommended 2×
  • CATEGORY QUERY
    How can I convert academic papers or documents into an audio podcast or lecture?
    you: not recommended
    AI recommended (in order):
    1. Murf.ai
    2. Speechify
    3. WellSaid Labs
    4. Google Cloud Text-to-Speech
    5. Amazon Polly
    6. NaturalReader
    7. Audacity
    8. Descript

    AI recommended 8 alternatives but never named lamm-mit/PDF2Audio. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to generate audio summaries from documents with editable transcripts and AI voice options?
    you: not recommended
    AI recommended (in order):
    1. Speechify
    2. Murf.ai
    3. WellSaid Labs
    4. Descript
    5. Play.ht
    6. Synthesys
    7. NaturalReader

    AI recommended 7 alternatives but never named lamm-mit/PDF2Audio. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 lamm-mit/PDF2Audio?
    pass
    AI did not name lamm-mit/PDF2Audio — 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 lamm-mit/PDF2Audio in production, what risks or prerequisites should they evaluate first?
    pass
    AI named lamm-mit/PDF2Audio 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 lamm-mit/PDF2Audio solve, and who is the primary audience?
    pass
    AI did not name lamm-mit/PDF2Audio — 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

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MARKDOWN (README)
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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite