Google Search Optimization

Google search optimization is the practice of shaping websites, content, and technical infrastructure so pages are discovered, understood, and surfaced by the world's dominant search engine. For years that meant keywords, links, and page speed. Today generative AI is redrawing the discipline, and the rules marketers, publishers, and developers relied on are shifting quickly.

Why it matters now

Search results increasingly answer questions directly. AI-generated summaries now appear above traditional links for a growing share of queries, including searches for specific brands, and more sessions end without a click to any website. That changes how traffic, attribution, and revenue flow across the web. Google also keeps refining its spam policies through recurring algorithm updates that target low-value, mass-produced content, including material churned out by AI tools.

A new vocabulary has emerged alongside these changes. Answer engine optimization (AEO) and generative engine optimization (GEO) describe efforts to get content cited inside AI responses. Software vendors have rushed to serve this demand, while Google maintains that the fundamentals of good SEO still apply. Questions about how publishers are compensated when their work feeds AI answers add an economic dimension to the debate.

What you'll find here

This hub tracks:

• Algorithm and spam updates and their effects on rankings
• AI Overviews and zero-click trends, including traffic and market-share data
• AEO and GEO strategies, tools, and the evidence behind their claims
• Publisher economics, from licensing arrangements to citation visibility
• Official guidance from Google and analysis of what it means in practice

Whether you run a site, manage a marketing budget, or build search tools, these stories explain where search is heading.