Google has published its first official guidance on how websites should optimize for generative AI features in Search, making clear that AI visibility does not require a separate playbook from traditional SEO.
The guidance, first published on May 15, 2026 and later updated in late June, explains how site owners, publishers, agencies, and marketers should think about AI Overviews and AI Mode. The central message is simple: optimizing for generative AI search is still optimizing for Search.
That statement is important because a growing number of agencies and vendors have been promoting new categories such as answer engine optimization and generative engine optimization as if they are separate disciplines. Google’s position is that these terms may describe the goal of appearing in AI-generated answers, but they do not replace the fundamentals of good search visibility.
AI Search Still Uses Search Signals
Google says its generative AI features are built on the same core systems that power Search ranking and quality. In practical terms, a page must be crawlable, indexable, useful, and eligible for snippets before it can appear in AI-powered search features.
The guidance also explains how AI answers are grounded. When a user asks a complex question, Google’s systems retrieve relevant pages from its search index and use that material to generate an answer. That means websites still need strong, accessible, well-structured content that Google can understand and surface.
Another important concept is query expansion. For longer questions, AI Mode can break a user’s request into related sub-questions and search across several angles at once. A single broad query may trigger searches around comparisons, definitions, steps, alternatives, local intent, product details, or supporting context.
For publishers, this means content should not be built only around exact-match keywords. It should answer the wider set of questions a real user may have around a topic.
What Google Wants Websites to Do
The strongest recommendation is to create content that is genuinely useful and not easily copied from existing pages. Google is encouraging site owners to publish original, expert-led, first-hand content rather than generic articles that repeat the same advice already available across the web.
The question behind the guidance is whether a visitor would find the page satisfying. That puts the focus on usefulness, originality, experience, and clarity. Pages that include personal insight, real examples, expert explanation, unique data, direct experience, or specific case details are more likely to stand apart from commodity content.
On the technical side, the advice remains familiar. Websites should follow normal crawling and indexing best practices, use clear HTML structure, maintain good page experience, reduce duplicate content, and make important content visible to users and search engines. Images and videos can also help because they create additional ways for content to appear across search surfaces.
For local businesses and e-commerce sites, structured product feeds, accurate business profiles, and clear service information remain important. AI search may feel new, but the underlying requirement is still the same: Google needs reliable, accessible information to work with.
Tactics Google Says to Avoid
The guidance also pushes back against several tactics being sold as AI-search shortcuts. Google says special machine-readable files made only for AI crawlers are not used by Google Search in any special way. It also says there is no need to break content into tiny chunks just to make it easier for AI systems to read.
Google also discourages AI-specific rewriting where publishers create many thin pages for every possible query variation. Its systems can already understand synonyms, intent, and related questions. Creating low-value pages just to target possible AI Mode sub-queries can fall into scaled content abuse.
The same applies to claims that special schema, markdown-only versions, or artificial formatting tricks are required for AI Overview inclusion. Google’s message is that technical clarity helps, but shortcuts do not replace useful content.
Third-Party Tool Claims Under Scrutiny
Google has also warned site owners to be cautious about third-party tools and services that claim they can guarantee AI search visibility. Outside tools do not have access to Google’s internal ranking systems, and their predictions are only estimates.
That does not mean agencies or SEO tools have no value. It means businesses should be careful with promises around guaranteed AI Overview placement, fixed citation increases, or claims that a vendor is specially approved by Google.
The safer question for buyers is whether the advice they are receiving lines up with Google’s official guidance: create strong content, make it indexable, follow Search fundamentals, and avoid manipulative shortcuts.
What This Means for AI-Written Content
The guidance is especially important for AI writing tools and publishers using AI-assisted workflows. Google is not saying AI-generated content is automatically bad. The problem is thin, derivative, mass-produced content that adds little value.
That creates a clear standard. AI-assisted writing needs to produce original, specific, useful content that reflects real expertise and serves the reader. The winning content will not be the article that simply answers a topic in generic terms. It will be the one that includes details, examples, insight, and a point of view that competitors cannot easily copy.
The bigger takeaway is that AI search does not eliminate SEO. It raises the quality bar. Websites that chase tricks may fall behind, while those that publish clear, original, technically sound content are better positioned for both traditional search results and AI-generated answers.
