Answer Engine Optimization (AEO) toolkit for Python-based websites
Project description
Answer Engine Optimization (AEO) Toolkit
Author: SuperSharpAI.com
Email: python@supersharpai.com
🚀 Introduction
answer_engine_optimization is a Python library that helps developers optimize their websites for Answer Engines (like Google Search, Bing Chat, or ChatGPT) by:
- Adding and managing FAQ content
- Generating structured FAQ schema (JSON-LD)
- Embedding Quick Answer blocks
- Checking if a webpage is AEO-friendly
📦 Installation
pip install answer_engine_optimization
🧠 Features
- ✅ Add FAQs with questions and answers
- ✅ Get a list of all added FAQs
- ✅ Generate structured data (JSON-LD) for FAQs
- ✅ Create Quick Answer block in HTML
- ✅ Analyze if a webpage is AEO friendly
🧪 Example Usage
from answer_engine_optimization import AEOEngine
aeo = AEOEngine()
# Add FAQs
aeo.add_faq("What is AEO?", "Answer Engine Optimization helps AI systems like ChatGPT understand your content.")
aeo.add_faq("Why is FAQ schema important?", "It improves visibility in AI-based search and voice assistants.")
# View FAQs
print(aeo.get_faqs())
# Generate FAQ schema (JSON-LD)
print(aeo.generate_faq_schema())
# Generate Quick Answer block
print(aeo.generate_quick_answer("AEO is optimizing content for AI-driven platforms like ChatGPT and Google Search."))
# Check if a webpage is AEO friendly
html = "<html><head><title>Test Page</title></head><body><div class='quick-answer'></div></body></html>"
print(aeo.check_aeo_friendly(html))
📄 License
MIT License
🌐 Learn More
Visit https://supersharpai.com for more AI and SEO tools.
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