Google published their official guide to optimizing for generative AI features in Google Search on Friday. The guide is scoped specifically to Google Search. That scope matters and is worth understanding before applying it to your broader growth system.

What the Guide Covers

The core argument is straightforward. Google's generative AI features, including AI Overviews and AI Mode, are built on top of their core Search ranking and quality systems. The same signals that determined whether a page ranked before still determine whether it gets surfaced in an AI response. Clean technical structure, indexable pages, quality content.

On content, Google is direct. What performs is content with a unique point of view, first-hand experience, and specific insight that goes beyond what is already available. A first-hand review outperforms a summary. An original argument outperforms a restatement. Content that could have been written by anyone, about anything, for anyone, does not perform.

On tactics, the guide is equally direct. llms.txt files are not needed. Content chunking for AI is not needed. Rewriting content specifically for AI systems is not needed. Seeking inauthentic brand mentions is flagged as risky. Schema markup is still useful for rich results but is not an AI unlock.

Where the Scope Ends

Every best practice in the guide describes how Google's own AI systems retrieve and surface content, using their own index, their own ranking systems, their own quality signals.

Perplexity, ChatGPT, and other LLMs operating outside of Google Search are not in scope. When a buyer uses one of those tools to research a product category or evaluate vendors, Google's ranking systems are not involved in that answer. What is involved is what those models retrieve from the open web and how they weigh the sources they find.

Third-party citations carry more weight on those surfaces. Earned media matters. External expert commentary, publication presence, and review visibility confirm what a brand claims about itself in ways that branded content alone cannot.

That surface is real, growing, and operates on its own logic.

Non-Commodity Content

The content point in the guide is worth sitting with.

Most content being produced right now is commodity content. It restates what already exists. It summarizes what is already available. Google's systems are designed to deprioritize it. So are the retrieval systems in every other AI engine.

What surfaces instead is content with a point of view that could not have come from anywhere else. First-hand outcomes. Specific arguments. Insight that comes from having actually done the thing rather than having read about it and summarized it.

The volume of commodity content has grown significantly and the systems surfacing content have gotten better at identifying it. The bar is original thought and specific experience. Content that adds something the reader could not have found by asking an AI directly.

What This Means for How You Build

There are two surfaces and they have two slightly different jobs.

For Google Search and its generative AI features, everything in the guide applies. Foundational SEO, clean technical structure, non-commodity content written for humans.

At Kruzeniski.ai the SEO tools we use include SEO Meta in 1 Click for components like title tags, meta descriptions, and page structure including headers and images. Screaming Frog handles more advanced technical SEO components. Seobility tracks the performance of improvements and changes over time. For off-page SEO and keyword rankings we use SEMRush.

For non-Google AI engines, all of the above applies, plus off-site authority. Content that earns third-party citations. A presence in publications and expert commentary that exists outside your own domain. Content that is clear, specific, and self-contained at the section level performs better across all of them.

A buyer researching a solution on Google and a buyer using an AI tool to ask the same question are the same buyer at different moments. Building for both is the same work, done consistently across every surface they use.

The Takeaway

Foundational SEO is the base layer for AI search visibility. Non-commodity content is what gets surfaced. Shortcuts built around special files, content manipulation, or inauthentic mentions do not work on Google Search.

The Google guide covers Google Search. Your buyers are also on Perplexity, ChatGPT, and other AI tools researching the same questions. The foundation is identical across all of it. The additional layer is off-site authority, earned media, and content that is clear and specific at every level. Build both and you show up everywhere they are looking.

Kruzeniski.ai builds AI-powered growth marketing systems for early-stage teams. Agent stacks that handle content, social, paid media, email, SEO, and AI search so your team focuses on strategy, not execution.