RRepoGEO

REPOGEO REPORT · LITE

impira/docquery

Default branch main · commit 3744f08a · scanned 6/29/2026, 7:17:55 PM

GitHub: 1,776 stars · 134 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 impira/docquery, 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
    Clarify DocQuery's role as a Python library/CLI for zero-shot DQA in the README intro

    Why:

    CURRENT
    DocQuery is a library and command-line tool that makes it easy to analyze semi-structured and unstructured documents (PDFs, scanned images, etc.) using large language models (LLMs).
    COPY-PASTE FIX
    DocQuery is an open-source Python library and command-line tool for zero-shot visual document question answering (DQA). It enables developers and data scientists to easily extract specific information from semi-structured and unstructured documents (PDFs, scanned images, etc.) using natural language queries and large language models (LLMs).
  • hightopics#2
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    document-ai, llm, document-processing, ocr, information-extraction, python, cli, question-answering, zero-shot
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://huggingface.co/spaces/impira/docquery

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 impira/docquery
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Google Cloud Document AI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Google Cloud Document AI · recommended 1×
  2. Amazon Textract · recommended 1×
  3. Microsoft Azure Form Recognizer · recommended 1×
  4. Azure AI Document Intelligence · recommended 1×
  5. UiPath Document Understanding · recommended 1×
  • CATEGORY QUERY
    How can I extract specific data from PDFs and scanned images using AI?
    you: not recommended
    AI recommended (in order):
    1. Google Cloud Document AI
    2. Amazon Textract
    3. Microsoft Azure Form Recognizer
    4. Azure AI Document Intelligence
    5. UiPath Document Understanding
    6. ABBYY FineReader Engine
    7. ABBYY Vantage
    8. Kofax TotalAgility
    9. Rossum

    AI recommended 9 alternatives but never named impira/docquery. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow querying unstructured documents with natural language questions via LLMs?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex (run-llama/llama_index)
    2. LangChain (langchain-ai/langchain)
    3. Haystack (deepset-ai/haystack)
    4. OpenAI Assistants API
    5. Azure AI Search
    6. Weaviate (weaviate/weaviate)
    7. Pinecone

    AI recommended 7 alternatives but never named impira/docquery. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    warn

    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 impira/docquery?
    pass
    AI named impira/docquery explicitly

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

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

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

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impira/docquery — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite