RRepoGEO

REPOGEO REPORT · LITE

Elliott-Chong/chatpdf-yt

Default branch main · commit 97d25178 · scanned 5/30/2026, 12:33:01 PM

GitHub: 784 stars · 318 forks

AI VISIBILITY SCORE
23 /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
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 Elliott-Chong/chatpdf-yt, 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 the README H1 to specify category and key features

    Why:

    CURRENT
    Link to YouTube Tutorial
# Overview
Welcome to the "chatpdf-yt" project, a comprehensive chat application with PDF integration.
    COPY-PASTE FIX
    Link to YouTube Tutorial
# chatpdf-yt: A Full-Stack AI Chat Application with PDF Integration & Subscriptions

Welcome to the "chatpdf-yt" project, a comprehensive chat application with PDF integration. This project is designed to provide a seamless chat experience where users can upload PDF files, create chats around them, and interact with an AI assistant. It serves as a full-stack example for building AI-powered document chat with user subscriptions, leveraging Next.js, OpenAI API, Stripe, and Pinecone.
  • mediumlicense#2
    Add a standard open-source license file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the root of the repository with a standard open-source license (e.g., MIT or Apache-2.0).

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 Elliott-Chong/chatpdf-yt
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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. OpenAI API · recommended 2×
  2. React · recommended 2×
  3. LangChain · recommended 1×
  4. OpenAI GPT-4 · recommended 1×
  5. GPT-3.5 Turbo · recommended 1×
  • CATEGORY QUERY
    How to build a web application for chatting with uploaded PDF documents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. OpenAI API
    3. OpenAI GPT-4
    4. GPT-3.5 Turbo
    5. Anthropic Claude
    6. Google Gemini Pro
    7. ChromaDB
    8. Streamlit
    9. PyPDF2
    10. Hugging Face Transformers
    11. sentence-transformers/all-MiniLM-L6-v2
    12. FastAPI
    13. React
    14. Vue.js

    AI recommended 14 alternatives but never named Elliott-Chong/chatpdf-yt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a full-stack solution to offer AI-powered document chat with user subscriptions.
    you: not recommended
    AI recommended (in order):
    1. Next.js
    2. Vercel
    3. Supabase
    4. OpenAI API
    5. Stripe
    6. Django
    7. Django REST Framework
    8. PostgreSQL
    9. Ruby on Rails
    10. Nuxt.js
    11. Netlify
    12. Firebase/Firestore
    13. MongoDB
    14. Express.js
    15. React
    16. Node.js

    AI recommended 16 alternatives but never named Elliott-Chong/chatpdf-yt. 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 Elliott-Chong/chatpdf-yt?
    pass
    AI did not name Elliott-Chong/chatpdf-yt — 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 Elliott-Chong/chatpdf-yt in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Elliott-Chong/chatpdf-yt 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 Elliott-Chong/chatpdf-yt solve, and who is the primary audience?
    pass
    AI named Elliott-Chong/chatpdf-yt explicitly

    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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Elliott-Chong/chatpdf-yt — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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