Core Insights - Website speed optimization has evolved into a core element affecting search rankings, user experience, and business conversion, particularly in the context of ongoing search engine algorithm iterations [1] - Google and Baidu exhibit differentiated technical paths and value orientations in speed optimization, providing a basis for enterprises to develop adaptive strategies [1] Evaluation Systems: Differentiated Layout of Core Indicators and Technical Tools - Google focuses on user experience with a quantitative evaluation system centered around Core Web Vitals, utilizing both lab data and real user monitoring (RUM) for a closed-loop optimization model [2] - Baidu has established a technology ecosystem centered on MIP (Mobile Instant Page), setting dual speed standards and integrating speed diagnostic modules in its mobile-friendly testing tools [3] Technical Implementation: Differentiated Optimization Paths and Resource Deployment - Google employs code splitting and lazy loading to reduce the first-screen code size by 60%, while also optimizing rendering through inlining critical CSS and implementing efficient font loading strategies [5] - Baidu mandates the use of certified MIP components and enforces a caching system through MIP Cache, ensuring global node coverage via its CDN [12] Mobile Adaptation: The Competition Between Responsive Design and MIP Ecosystem - Google has adopted a mobile-first indexing approach since 2021, prioritizing mobile content for crawling and ranking, while Baidu allows for the coexistence of PC and MIP sites under specific guidelines [11] Optimization Effect Evaluation: The Link Between Data Metrics and Business Value - Google reports a 27% increase in exposure for pages meeting Core Web Vitals standards in mobile search, while LCP optimization can enhance e-commerce add-to-cart rates by 8.3% [15] - Baidu's MIP pages enjoy a threefold increase in crawling speed and a 15% improvement in ad fill rates, with eCPM rising by 22% [15] Future Trends: Technological Evolution and Compliance Challenges - The integration of 5G and AI technologies is expected to usher in a new phase of predictive loading and intelligent resource scheduling, necessitating agile technical platforms for enterprises to meet evolving search engine requirements [14]