REPOGEO REPORT · LITE
landing-ai/ade-python
Default branch main · commit 7576d1f8 · scanned 5/31/2026, 2:46:20 PM
GitHub: 993 stars · 159 forks
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 landing-ai/ade-python, 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.
- hightopics#1Add relevant topics to the repository
Why:
COPY-PASTE FIXpython, sdk, api-client, document-extraction, ai, agentic-ai, landingai, computer-vision, nlp, structured-data
- highreadme#2Reposition the README's opening sentence to emphasize 'official SDK'
Why:
CURRENTA Python library for interacting with the **LandingAI Agentic Document Extraction REST API**, designed for flexibility, reliability, clarity, and performance. Built for Python 3.9+ and generated with Stainless.
COPY-PASTE FIXThe **official Python SDK** for interacting with the **LandingAI Agentic Document Extraction REST API**, designed for flexibility, reliability, clarity, and performance. Built for Python 3.9+ and generated with Stainless.
- mediumreadme#3Clarify the primary focus of the repository in relation to the MCP Server
Why:
CURRENTUse the LandingAI ADE MCP Server to enable AI assistants to interact with this API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
COPY-PASTE FIXWhile this repository primarily provides the Python client library, the LandingAI ADE MCP Server enables AI assistants to interact with the API, allowing them to explore endpoints, make test requests, and use documentation to help integrate this SDK into your application.
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.
- LlamaParse · recommended 1×
- Unstructured · recommended 1×
- Nougat · recommended 1×
- PyPDF2 · recommended 1×
- Regex · recommended 1×
- CATEGORY QUERYHow to extract structured data from large documents using a Python library?you: not recommendedAI recommended (in order):
- LlamaParse
- Unstructured
- Nougat
- PyPDF2
- Regex
- Camelot
- Tabula-py
AI recommended 7 alternatives but never named landing-ai/ade-python. This is the gap to close.
Show full AI answer
- CATEGORY QUERYPython SDK for AI-powered document information extraction from a REST API?you: not recommendedAI recommended (in order):
- Google Cloud Document AI
- Amazon Textract
- Azure Form Recognizer
- Tesseract OCR
- pytesseract
- PaddleOCR
- Rossum
- Nanonets
AI recommended 8 alternatives but never named landing-ai/ade-python. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 landing-ai/ade-python?passAI named landing-ai/ade-python explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts landing-ai/ade-python in production, what risks or prerequisites should they evaluate first?passAI named landing-ai/ade-python 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 landing-ai/ade-python solve, and who is the primary audience?passAI named landing-ai/ade-python 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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landing-ai/ade-python — 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