REPOGEO REPORT · LITE

enoch3712/ExtractThinker

Default branch main · commit 66920c9a · scanned 5/13/2026, 2:36:55 AM

GitHub: 1,540 stars · 156 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 enoch3712/ExtractThinker, 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 that ExtractThinker is a Python library in the README's opening sentence

Why:

CURRENT

ExtractThinker is a flexible document intelligence tool that leverages Large Language Models (LLMs) to extract and classify structured data from documents, functioning like an ORM for seamless document processing workflows.

COPY-PASTE FIX

ExtractThinker is a **Python library** for flexible document intelligence that leverages Large Language Models (LLMs) to extract and classify structured data from documents, functioning like an ORM for seamless document processing workflows.

mediumreadme#2
Enhance the README's TL;DR to highlight ORM-style interaction
Why:
CURRENT
```
TL;DR Document Intelligence for LLMs
```
COPY-PASTE FIX
```
TL;DR ORM-style Document Intelligence for LLMs
```

lowreadme#3

Remove initial empty lines and non-essential formatting from README

Why:

CURRENT

<p align="center">
   
</p>
<p align="center">

<a href="https://medium.com/@enoch3712">
    
</a>

</p>

# ExtractThinker

COPY-PASTE FIX

# ExtractThinker

ExtractThinker is a Python library for flexible document intelligence that leverages Large Language Models (LLMs) to extract and classify structured data from documents, functioning like an ORM for seamless document processing workflows.

**TL;DR ORM-style Document Intelligence for LLMs**

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 enoch3712/ExtractThinker

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Google Cloud Document AI

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Google Cloud Document AI · recommended 1×
Azure AI Document Intelligence · recommended 1×
AWS Textract · recommended 1×
OpenAI GPT-4V · recommended 1×
Anthropic Claude 3 · recommended 1×

CATEGORY QUERY
How to extract structured data from PDFs and images using large language models?
you: not recommended
AI recommended (in order):
1. Google Cloud Document AI
2. Azure AI Document Intelligence
3. AWS Textract
4. OpenAI GPT-4V
5. Anthropic Claude 3
6. LlamaIndex
7. LangChain
8. Tesseract OCR
9. PaddleOCR
10. Llama 3
11. Mixtral
12. Gemma
13. Nanonets
AI recommended 13 alternatives but never named enoch3712/ExtractThinker. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Python library for ORM-like interaction with documents for LLM-powered data extraction?
you: not recommended
AI recommended (in order):
1. Pydantic (pydantic/pydantic)
2. Instructor (jxnl/instructor)
3. LangChain (langchain-ai/langchain)
4. LlamaIndex (run-llama/llama_index)
5. Haystack (deepset-ai/haystack)
6. TypedDict
AI recommended 6 alternatives but never named enoch3712/ExtractThinker. 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 enoch3712/ExtractThinker?
pass
AI named enoch3712/ExtractThinker explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts enoch3712/ExtractThinker in production, what risks or prerequisites should they evaluate first?
pass
AI named enoch3712/ExtractThinker 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 enoch3712/ExtractThinker solve, and who is the primary audience?
pass
AI named enoch3712/ExtractThinker 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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MARKDOWN (README)

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HTML

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