GEO/AIV/AIVO/AEO - Cutting-Edge Optimization Technologies for the AI Era
Expert analysis and technical deep dives on AI crawler behavior, generative engine optimization, and enterprise-ready monitoring systems. Explore the latest research from the AIV Boost team.
In-depth analysis of Generative Engine Optimization (GEO) strategies, exploring how to optimize content for generative AI engines like ChatGPT, Claude, and Gemini to master the new SEO rules of the AI era.
Deep dive into AI Invisible Optimization (AIV) technology, learning how to optimize content structure without AI detection, protecting core competitiveness while improving search performance.
Complete AI Visual Optimization (AIVO) framework analysis, integrating GEO, AIV, AEO and other optimization technologies to build comprehensive content optimization strategies for the AI era.
Complete Answer Engine Optimization (AEO) strategy, focusing on optimizing content to achieve top rankings in AI-driven search and Q&A systems, including practical cases and performance measurement.
In-depth exploration of modern AI crawler mechanics, detection methods, and defense strategies. Understanding the characteristics of mainstream AI crawlers like GPTBot, Claude-Web, and Bingbot, and how to build intelligent detection systems.
Analysis of the latest developments in web crawler technology for 2025, including LLM-driven intelligent crawlers, edge computing optimization, and emerging crawler ecosystems.
Detailed guide to building enterprise-level bot monitoring systems, covering architecture design, technology selection, and implementation strategies. Includes code examples and best practices.
Comprehensive comparison of OpenAI's GPTBot and Anthropic's Claude-Web crawlers, analyzing their technical features, crawling strategies, and impact on websites.
In-depth analysis of malicious bot behavior patterns including WordPress scanners and vulnerability detectors, providing comprehensive defense solutions and implementation guides.
Exploring how to optimize websites to attract AI crawlers in the AI era, including structured data, content strategies, and technical optimization solutions.
Introduction to implementing high-performance, low-latency bot detection systems using edge computing platforms like Cloudflare Workers.
Detailed explanation of how to implement intelligent crawler classification using machine learning algorithms, including feature engineering, model selection, and deployment strategies.
Comprehensive introduction to API rate limiting design patterns, implementation methods, and best practices to protect systems from crawler abuse.
Discussing the ethical boundaries, legal frameworks, and technological development directions of web crawlers, providing insights for healthy industry development.