RRepoGEO

REPOGEO REPORT · LITE

Future-House/paper-qa

Default branch main · commit d2c3c698 · scanned 5/10/2026, 6:56:49 AM

GitHub: 8,464 stars · 863 forks

AI VISIBILITY SCORE
40 /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
3 / 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 Future-House/paper-qa, 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 the README's opening statement to emphasize its unique value and category

    Why:

    CURRENT
    # PaperQA2

PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs, text files, Microsoft Office documents, and source code files, with a focus on the scientific literature.
    COPY-PASTE FIX
    # PaperQA2: A High-Accuracy RAG System for Scientific Documents with Verifiable Citations

PaperQA2 is a specialized RAG framework designed for high-accuracy retrieval augmented generation (RAG) across scientific literature, PDFs, text files, Microsoft Office documents, and source code. It delivers superhuman performance in tasks like question answering, summarization, and contradiction detection, providing verifiable citations for every answer.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    ai, rag, science, search
    COPY-PASTE FIX
    ai, rag, science, search, document-ai, question-answering, llm-framework, citation-generation, scientific-literature
  • lowreadme#3
    Add a direct link to the '2024 paper' in the README's introduction

    Why:

    CURRENT
    See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection.
    COPY-PASTE FIX
    See our recent 2024 paper [link to paper here] to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection.

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 Future-House/paper-qa
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. Haystack · recommended 2×
  3. Azure AI Search · recommended 2×
  4. OpenAI GPT-4 · recommended 1×
  5. ArXiv API · recommended 1×
  • CATEGORY QUERY
    How to build a reliable RAG system for scientific papers with verifiable citations?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. OpenAI GPT-4
    3. ArXiv API
    4. PubMed API
    5. LangChain
    6. Cohere Rerank
    7. Google Scholar API
    8. Semantic Scholar API
    9. Haystack
    10. ElasticSearch
    11. Sci-Hub
    12. CORE API
    13. PyPDF2
    14. pdfminer.six
    15. FAISS
    16. Hugging Face Transformers
    17. SciBERT
    18. BioBERT
    19. Azure AI Search
    20. Azure Cognitive Search
    21. Azure OpenAI Service
    22. Weaviate
    23. Pinecone
    24. Google Cloud Vertex AI
    25. AWS Bedrock
    26. OpenSearch
    27. Apache Solr
    28. Llama 2

    AI recommended 28 alternatives but never named Future-House/paper-qa. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool for accurate question answering and summarization across diverse technical documents like PDFs?
    you: not recommended
    AI recommended (in order):
    1. OpenAI API
    2. Azure AI Search
    3. Amazon Kendra
    4. Haystack
    5. LlamaIndex
    6. Cohere

    AI recommended 6 alternatives but never named Future-House/paper-qa. 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 Future-House/paper-qa?
    pass
    AI named Future-House/paper-qa explicitly

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

  • If a team adopts Future-House/paper-qa in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Future-House/paper-qa 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 Future-House/paper-qa solve, and who is the primary audience?
    pass
    AI named Future-House/paper-qa explicitly

    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 Future-House/paper-qa. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/Future-House/paper-qa.svg)](https://repogeo.com/en/r/Future-House/paper-qa)
HTML
<a href="https://repogeo.com/en/r/Future-House/paper-qa"><img src="https://repogeo.com/badge/Future-House/paper-qa.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

Future-House/paper-qa — 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