Tuesday, February 3, 2026

From Zero to Hero:...

Guest blogging is a powerful technique used to increase website traffic, build backlinks,...

The Ultimate Beginner’s Guide...

Search Engine Optimization, commonly referred to as SEO, is the process of improving...

The Power of Social...

Social media has become an essential part of our daily lives, and its...

The Rise of Privacy-First Search Engines Google has long been the dominant player in...
HomeSEOServer-Side vs Client-Side

Server-Side vs Client-Side

Understanding Google’s AI Crawler and Rendering

Google’s AI crawler and rendering process have been a topic of discussion among developers and marketers. In a recent interview, Google Developer Advocate Martin Splitt shared key information about JavaScript rendering, server-side vs. client-side rendering, and structured data. The talk aimed to clear up common SEO confusion and offer practical tips for developers and marketers working with Google’s changing search systems.

Google’s AI Crawler and JavaScript Rendering

When asked how AI systems handle JavaScript content, Splitt revealed that Google’s AI crawler processes JavaScript well through a shared service. He explained that the AI crawler uses Web Rendering Service (WRS), which is also used by Googlebot. This gives Google’s AI tools an edge over competitors that have trouble with JavaScript. Splitt noted that rendering usually happens within minutes, with the 99th percentile being within minutes, suggesting that long delays are rare and might be due to measurement errors.

Server-Side vs. Client-Side Rendering: Which is Better?

The debate between server-side rendering (SSR) and client-side rendering (CSR) was also discussed. Instead of saying one is always better, Splitt stressed that the right choice depends on what your website does. For websites that are primarily informational, SSR or pre-rendering static HTML is recommended. However, for interactive tools like CAD programs or video editors, CSR is more suitable. Splitt emphasized that it’s not a matter of one being better than the other, but rather using the right tool for the job.

- Advertisement -

Structured Data’s Role in AI Understanding

The interview also touched on structured data, which is becoming more important as AI systems grow in search. Splitt confirmed that structured data helps Google’s AI understand content better, but clarified that it does not directly impact rankings. He stated that structured data provides more information and confidence in the information, making it essential for SEO professionals.

Key Takeaways

Here are the key things we learned from the interview:

  1. Google’s rendering usually happens within minutes, reducing the disadvantage of JavaScript-heavy sites.
  2. Non-Google AI tools may still have trouble with JavaScript, making SSR crucial for visibility across all AI systems.
  3. Use SSR for content sites and CSR for interactive tools, as each has its own strengths.
  4. Structured data helps Google understand content better, but is not a direct ranking factor.

Conclusion

In conclusion, understanding Google’s AI crawler and rendering process is essential for developers and marketers. By using the right rendering method for their website and incorporating structured data, they can improve their content’s visibility and user experience. As AI continues to change search technology, focusing on basic principles like creating great content and thinking about user needs will become increasingly important. As Splitt advised, "Think about your users, figure out what is your business goal, how to make users happy, and then just create great content."

- Advertisement -

Latest Articles

- Advertisement -

Continue reading

Chrome Updated With 3 AI Features Including Nano Banana

Gemini Update in Chrome: New Features for Enhanced Browsing The latest update to Gemini in Chrome brings exciting new features that integrate more Gemini capabilities within the browser for Windows, MacOS, and Chromebook Plus. These features include an AI side...

What If User Satisfaction Is The Most Important Factor In SEO?

How Google's Ranking Process Works Google's ranking process involves three main components: traditional systems, AI systems, and quality rater scores. The traditional systems are used for initial ranking, while AI systems such as RankBrain, DeepRank, and RankEmbed BERT re-rank the...

What It Means For Social & Search

Introduction to Social Channel Insights Google has been testing Social Channel Insights inside Google Search Console (GSC), which may seem like a small update, but it's more significant than it appears. This new feature is a part of a bigger...

Google AI Overviews Now Powered By Gemini 3

Introduction to Google's AI Updates Google is making significant changes to its AI-powered features, including making Gemini 3 the default model for AI Overviews in markets where the feature is available. This update brings Gemini 3's reasoning capabilities to AI...