Google AI Mode: The Next Evolution in Search

Aizaz Ahsan
Oct 6
2 min read

What Is Google AI Mode?

Google AI Mode is an advanced search system designed to answer user queries while also anticipating their next possible questions. It goes beyond traditional text-based search and understands images and videos as well, a concept known as multimodal search.

This means Google now evaluates your content through reasoning and context, not just by counting keywords or backlinks.

How Query Fan-Out Works

AI Mode uses a powerful technique called Query Fan-Out, which breaks a main query into smaller, related subtopics.

For example, if a user asks, “What is a mechanical keyboard?”, AI Mode may also answer related follow-up questions about switches, keycaps, or PCB functions.

This system ensures users get a complete research journey without needing to perform multiple searches.

SEO Eligibility vs. Ranking in AI Mode

While Google claims that normal SEO practices are enough, in reality, SEO only makes your page eligible to appear in AI Mode, not necessarily rank higher.

Ranking is handled by AI systems like FastSearch and RankEmbed, which help Google identify the most relevant and high-quality content.

These models rely on deep learning and real-world data patterns instead of traditional signals like backlinks or keyword density.

The New SEO Focus: Semantic and Topical Relevance

In AI Mode, SEO is shifting from simple keyword targeting to semantic and topical relevance.

Your content must be structured, clear, and comprehensive, with proper headings (H2, H3), straightforward language, and supporting visuals such as images or videos.

This helps AI systems understand, retrieve, and assemble your content effectively for relevant search answers.

Building Trust and Visibility in AI Search

In Google AI Mode, clicks and attribution metrics matter less than before. The new focus is on resonating with users, building brand trust, and maintaining a strong presence across all formats, text, image, and video.

Businesses that create meaningful, multimodal content aligned with user intent will gain better visibility and engagement within AI-driven search experiences.