RRepoGEO

REPOGEO REPORT · LITE

alejandro-ao/ask-multiple-pdfs

Default branch main · commit dc0155b3 · scanned 5/26/2026, 9:33:17 AM

GitHub: 1,876 stars · 1,025 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 alejandro-ao/ask-multiple-pdfs, 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
    Refine README introduction to emphasize application nature

    Why:

    CURRENT
    # MultiPDF Chat App

> You can find the tutorial for this project on YouTube.

## Introduction
The MultiPDF Chat App is a Python application that allows you to chat with multiple PDF documents.
    COPY-PASTE FIX
    # MultiPDF Chat App

> You can find the tutorial for this project on YouTube.

## Introduction
The MultiPDF Chat App is a ready-to-use Python application for building AI assistants that allow users to chat with multiple PDF documents simultaneously.
  • mediumlicense#2
    Add a LICENSE file to clarify usage terms

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file in the repository root with your chosen open-source license (e.g., MIT, Apache-2.0, GPL-3.0).

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 alejandro-ao/ask-multiple-pdfs
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 2×
  2. langchain-ai/langchain · recommended 1×
  3. OpenAI · recommended 1×
  4. Anthropic · recommended 1×
  5. Google LLMs · recommended 1×
  • CATEGORY QUERY
    How to build an AI assistant to query information across several PDF documents?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. OpenAI
    3. Anthropic
    4. Google LLMs
    5. Chroma (chroma-core/chroma)
    6. Pinecone
    7. Weaviate (weaviate/weaviate)
    8. PyPDF2 (py-pdf/PyPDF2)
    9. pypdf (py-pdf/pypdf)
    10. LlamaIndex (run-llama/llama_index)
    11. Haystack (deepset-ai/haystack)
    12. Elasticsearch (elastic/elasticsearch)
    13. OpenSearch (opensearch-project/OpenSearch)
    14. Sentence Transformers (UKPLab/sentence-transformers)
    15. FAISS (facebookresearch/faiss)
    16. Annoy (spotify/annoy)
    17. OpenAI API
    18. Anthropic API
    19. Google Generative AI API
    20. Azure AI Search
    21. Azure OpenAI Service
    22. AWS Kendra
    23. Amazon Bedrock

    AI recommended 23 alternatives but never named alejandro-ao/ask-multiple-pdfs. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a Python framework to create a chatbot for querying multiple document files.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Rasa
    5. OpenAI Python Library
    6. Faiss
    7. Pinecone
    8. Weaviate
    9. ChromaDB

    AI recommended 9 alternatives but never named alejandro-ao/ask-multiple-pdfs. 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 alejandro-ao/ask-multiple-pdfs?
    pass
    AI named alejandro-ao/ask-multiple-pdfs explicitly

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

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