On May 15, 2026, Google published a new official documentation page focused on optimizing websites for generative AI features in Search, including AI Overviews and AI Mode.

The release comes after months of speculation around how websites should adapt to AI Search and the rise of concepts such as AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization).

One of Google’s most important clarifications is surprisingly simple:

AEO and GEO are still SEO.

In other words, optimization for AI-generated search experiences continues to rely on the same core Google Search infrastructure and ranking systems.

Technical SEO still matters

Google confirms that its AI systems continue to rely on the traditional Search index and existing ranking and quality systems.

This means:

• • site speed,
  • crawlability,
  • semantic HTML,
  • JavaScript SEO,
  • page structure,
  • and user experience,
    remain essential for visibility.

AI Search does not replace technical SEO.

Google also explains what you DON’T need

The new documentation includes a mythbusting section where Google directly states which tactics are unnecessary for its own AI Search features.

Among them:

• • llms.txt files,
  • AI-specific pages,
  • artificial content chunking,
  • rewriting content specifically for AI models,
  • special schema markup for AI visibility.

Google explains that its systems are already advanced enough to understand broader page context and relationships between topics.

In other words, websites do not need to turn content into fragmented AI-friendly snippets.

Generic content is becoming easier to replace

One of the biggest shifts is related to the type of content that remains valuable in AI Search.

Google emphasizes what it calls “non-commodity content”:
content built on real experience, original insights, proprietary data, case studies and authentic expertise.

At the same time, repetitive and generic content becomes increasingly replaceable directly inside AI-generated answers.

Basic definitions and low-value articles can already be generated automatically within seconds.

For many brands, this changes the role of content marketing entirely.

Brand authority matters more

Online visibility will no longer depend only on publishing more articles.

Google’s systems increasingly analyze external signals associated with a brand:

• • mentions,
  • reviews,
  • reputation,
  • third-party content,
  • and the expertise of the people behind the business.

As AI Search evolves, authority and credibility become stronger competitive advantages.

Google is already preparing the web for AI agents

One of the most interesting additions in the new documentation is the concept of “agentic experiences.”

Google already describes AI agents capable of:

• • making reservations,
  • comparing products,
  • navigating websites,
  • and interacting autonomously with online platforms.

For industries such as hospitality, travel, ecommerce and services, this shift may become highly relevant over the next few years.

What this means for brands

Google is not completely rewriting the rules of Search.

It is raising the standard.

Technical SEO still matters.
But real expertise, authority, reputation and genuinely valuable content are becoming more important than mass-producing generic articles.

In an internet increasingly filled with AI-generated content, brands with real experience and meaningful perspectives may gain a significant advantage.