{"id":9402,"date":"2026-05-18T14:54:02","date_gmt":"2026-05-18T12:54:02","guid":{"rendered":"https:\/\/www.htt.it\/?p=9402"},"modified":"2026-05-19T08:32:32","modified_gmt":"2026-05-19T06:32:32","slug":"google-ai-optimization-guide-seo-aeo-geo","status":"publish","type":"post","link":"https:\/\/www.htt.it\/en\/google-ai-optimization-guide-seo-aeo-geo\/","title":{"rendered":"Google AI Optimization Guide: SEO, AEO &amp; GEO Explained"},"content":{"rendered":"\n\n<!-- SECTION -->\n<section  class=\"   whitesection\" style=\"\">\n    <div class=\"testo-colonna-centrale htt-generic-text\">\n        <div class=\"htt-container\">\n            <article class=\"htt-article htt-article--google-ai-guide\" role=\"article\" lang=\"en\" aria-labelledby=\"google-ai-guide-title\">\n<header class=\"htt-article__header\" aria-labelledby=\"google-ai-guide-title\">\n<p class=\"htt-article__eyebrow\" aria-label=\"Article category\">SEO \u00b7 AEO \u00b7 GEO<\/p>\n<h2 id=\"google-ai-guide-title\" class=\"htt-article__title\">\n      Google\u2019s AI Optimization Guide: what it confirms, what it debunks and what it does not say<br \/>\n    <\/h2>\n<p class=\"htt-article__subtitle\">\n      On May 15, 2026 Google published its first official guide on how to optimize websites for AI features in Search. It is an important document, but it should be read critically, not treated as a step-by-step manual.\n    <\/p>\n<\/header>\n<section class=\"htt-article__answer\" aria-labelledby=\"answer-first-guide\">\n<h2 id=\"answer-first-guide\">In brief<\/h2>\n<p>\n      On May 15, 2026 Google published an official guide titled <em>&#8220;Optimizing your website for generative AI features on Google Search&#8221;<\/em>.\n    <\/p>\n<div class=\"htt-answer-box\" role=\"note\" aria-label=\"Short answer\">\n<p><strong>Short answer:<\/strong> according to Google, optimizing for AI Overview and AI Mode still means doing solid SEO: original content, crawlable and indexable websites, proper technical structure, a clear user experience and no AI-specific hacks.<\/p>\n<\/p><\/div>\n<p>\n      The document confirms that traditional SEO remains the foundation for AI Overview and AI Mode, debunks some \u201chype\u201d practices such as llms.txt files and artificial content chunking, and introduces a key concept: <strong>non-commodity content<\/strong>, meaning content with unique perspectives, original data and direct experience, as a differentiating factor in the era of generative search.<br \/>\n      What the guide does not say, however, is just as interesting as what it does say.\n    <\/p>\n<\/section>\n<nav class=\"htt-article__toc\" aria-label=\"Table of contents\">\n<p class=\"htt-article__toc-title\">Contents<\/p>\n<ol>\n<li><a href=\"#context\">Why this guide matters<\/a><\/li>\n<li><a href=\"#what-it-confirms\">What it confirms: SEO is not dead<\/a><\/li>\n<li><a href=\"#what-it-debunks\">What it debunks: myths to abandon<\/a><\/li>\n<li><a href=\"#non-commodity\">The key concept: non-commodity content<\/a><\/li>\n<li><a href=\"#what-it-does-not-say\">What it does not say: Google\u2019s strategic silences<\/a><\/li>\n<li><a href=\"#aeo-geo-redefined\">AEO and GEO according to Google: a redefinition<\/a><\/li>\n<li><a href=\"#ai-agents\">The most interesting part: AI agents<\/a><\/li>\n<li><a href=\"#practical-implications\">Practical implications for marketers<\/a><\/li>\n<li><a href=\"#faq-guide\">Frequently asked questions<\/a><\/li>\n<\/ol>\n<\/nav>\n<figure class=\"htt-article__figure\" aria-labelledby=\"fig-google-ai-guide\">\n    <img decoding=\"async\" \n      src=\"https:\/\/www.htt.it\/wp-content\/uploads\/2026\/05\/google-ai-optimization-guide-ufficio-casa-1024x572.webp\"\n      alt=\"Editorial visualization of the new Google AI Search ecosystem with AI Overview, knowledge graph, structured data and semantic search\"\n      loading=\"eager\"\n      fetchpriority=\"high\"\n      width=\"1024\"\n      height=\"572\"><figcaption id=\"fig-google-ai-guide\">\n      Google Search officially enters the era of generative SEO: AI Overview, entities, structured data and non-commodity content.<br \/>\n    <\/figcaption><\/figure>\n<section class=\"htt-article__section\" id=\"context\" aria-labelledby=\"context-title\">\n<h2 id=\"context-title\">Why this guide matters<\/h2>\n<p>\n      This is not the first time Google has published guidelines for webmasters. But it is the first time it has done so explicitly about how optimization works for AI-powered Search features \u2014 AI Overview, AI Mode and the emerging agentic experiences.\n    <\/p>\n<p>\n      The document was published in the official Google Search Central section under \u201cSEO fundamentals\u201d and released on May 15, 2026.<br \/>\n      This is not a blog post and not a tweet: it is <strong>official documentation<\/strong>.<br \/>\n      That gives it a completely different weight compared to previous statements.\n    <\/p>\n<p>\n      The reason I read it critically rather than treating it as gospel is that Google has historically published guidelines reflecting <em>how it wants the web to work<\/em>, not necessarily <em>how it actually works in practice<\/em>. The gap between those two realities can be significant.<br \/>\n      Keeping this in mind while reading is essential.\n    <\/p>\n<blockquote class=\"htt-quote\" aria-label=\"Quote by Massimiliano Baldocchi\">\n<p class=\"htt-quote__text\">\n        &#8220;When Google publishes an official guide on AI optimization, there are two possible readings: the perspective of those who follow it literally, and the perspective of those who use it to understand what Google wants you to do \u2014 and ask why. The second one is always more interesting.&#8221;\n      <\/p>\n<footer class=\"htt-quote__author\">\n        <span class=\"htt-quote__name\">Massimiliano Baldocchi, CEO at HT&amp;T<\/span><br \/>\n      <\/footer>\n<\/blockquote>\n<\/section>\n<section class=\"htt-article__section\" id=\"what-it-confirms\" aria-labelledby=\"what-it-confirms-title\">\n<h2 id=\"what-it-confirms-title\">What it confirms: traditional SEO is not dead<\/h2>\n<p>\n      The first thing Google says \u2014 very clearly in the second section of the document \u2014 is that <strong>traditional SEO best practices still apply to generative search experiences<\/strong>.<br \/>\n      The technical reason is precise: Google AI features such as AI Overview and AI Mode use <strong>retrieval-augmented generation (RAG)<\/strong>, a system that retrieves content from Google\u2019s normal search index in order to generate responses.\n    <\/p>\n<p>\n      This means that if a page is not indexed, it cannot be considered for AI-generated answers. If it has technical issues, if it is slow or contains duplicate content, the same limitations and penalties that affect traditional organic rankings will also affect visibility inside AI-generated responses.\n    <\/p>\n<div class=\"htt-confirm\" role=\"note\">\n<p class=\"htt-confirm__label\">\u2713 Confirmed by the guide<\/p>\n<p class=\"htt-confirm__text\">\n        Technical SEO work such as proper indexing, clean redirects, canonicals, mobile performance, Core Web Vitals and semantic markup remains the foundation for appearing in AI responses. It is not separate work: it is the same work.\n      <\/p>\n<\/p><\/div>\n<p>\n      This is important for anyone who assumed that \u201cAI changed everything\u201d and that classic SEO had become obsolete. That is not the case. SEO is still necessary \u2014 just no longer sufficient.\n    <\/p>\n<p>\n      Google also confirms that Schema.org structured data remains useful, not because it directly impacts AI answers, but because rich results still matter within the broader search ecosystem. The work we described in our article about<br \/>\n      <a href=\"https:\/\/www.htt.it\/en\/json-ld-aeo-geo\/\"\n         aria-label=\"Read the article about JSON-LD, AEO and GEO\">semantic structure and JSON-LD<\/a><br \/>\n      is therefore validated, although expectations should remain realistic.\n    <\/p>\n<\/section>\n<section class=\"htt-article__section\" id=\"what-google-adds\" aria-labelledby=\"what-google-adds-title\">\n<h2 id=\"what-google-adds-title\">What Google adds beyond traditional SEO<\/h2>\n<p>\n      The guide does not simply say that SEO still matters. It adds two important concepts for understanding how generative Search experiences work: <strong>retrieval-augmented generation<\/strong> and <strong>query fan-out<\/strong>.\n    <\/p>\n<p>\n      The first means that AI Overview and AI Mode retrieve information from Google\u2019s index in order to generate more reliable and updated responses. The second means that Google can expand a user\u2019s search into multiple related queries in order to better satisfy the underlying informational intent.\n    <\/p>\n<aside class=\"htt-article__note\" role=\"note\" aria-label=\"SEO AEO GEO implication\">\n<p>\n        This means it is no longer enough to target a single keyword. It becomes more important to build complete, well-structured pages capable of covering an entire semantic field: main questions, related sub-questions, examples, practical cases, data and sources.\n      <\/p>\n<\/aside>\n<\/section>\n<section class=\"htt-article__section\" id=\"what-it-debunks\" aria-labelledby=\"what-it-debunks-title\">\n<h2 id=\"what-it-debunks-title\">What it debunks: myths to abandon<\/h2>\n<p>\n    The most direct and courageous part of the guide is the \u201cMythbusting\u201d section.<br \/>\n    Google explicitly lists practices circulating as \u201cAI optimization\u201d and defines them as ineffective or irrelevant for Google Search.\n  <\/p>\n<div class=\"htt-myth\" role=\"note\">\n<p class=\"htt-myth__label\">\u2717 Myth debunked<\/p>\n<p class=\"htt-myth__text\">\n      <strong>llms.txt files and special AI markup<\/strong>: Google explicitly says there is no need to create machine-readable AI files, AI-specific text files or special markdown formats in order to appear in generative search experiences. <strong>The llms.txt file has no impact on how Google handles a website<\/strong>.\n    <\/p>\n<\/p><\/div>\n<div class=\"htt-myth\" role=\"note\">\n<p class=\"htt-myth__label\">\u2717 Myth debunked<\/p>\n<p class=\"htt-myth__text\">\n      <strong>Content chunking<\/strong>: there is no requirement to artificially fragment content into small pieces to help AI understand it.<br \/>\n      Google states that its systems are capable of understanding multiple topics on the same page and surfacing the relevant part to users.\n    <\/p>\n<\/p><\/div>\n<div class=\"htt-myth\" role=\"note\">\n<p class=\"htt-myth__label\">\u2717 Myth debunked<\/p>\n<p class=\"htt-myth__text\">\n      <strong>Rewriting content \u201cfor AI\u201d<\/strong>: there is no need to write in a specific style for generative systems. AI systems understand synonyms and general meanings. There is no need to obsess over every long-tail variation or keyword permutation.\n    <\/p>\n<\/p><\/div>\n<div class=\"htt-myth\" role=\"note\">\n<p class=\"htt-myth__label\">\u2717 Myth debunked<\/p>\n<p class=\"htt-myth__text\">\n      <strong>Artificially generating \u201cmentions\u201d<\/strong>: trying to create brand mentions across blogs, forums and third-party websites in order to increase visibility inside AI responses does not work. Google\u2019s anti-spam systems also apply to generative features.\n    <\/p>\n<\/p><\/div>\n<div class=\"htt-myth\" role=\"note\">\n<p class=\"htt-myth__label\">\u2717 Myth debunked<\/p>\n<p class=\"htt-myth__text\">\n      <strong>Creating pages for every query variation<\/strong>: doing so mainly to manipulate rankings violates Google\u2019s scaled content abuse policies.<br \/>\n      It is not an effective long-term strategy.\n    <\/p>\n<\/p><\/div>\n<div class=\"htt-answer-box\" role=\"note\" aria-label=\"What is not needed for Google AI Search\">\n<p>\n      <strong>In practice:<\/strong> appearing in AI Overview and AI Mode does not require llms.txt files, AI-specific markup, artificial content chunking or pages created for every query variation. What matters is a technically solid, crawlable and genuinely useful website.\n    <\/p>\n<\/p><\/div>\n<p>\n    Reading these myths, it is easy to recognize that many of the debunked practices became popular simply because nobody truly knew how AI search worked. Google has now established a clear position \u2014 <strong>at least for its own platform<\/strong>.\n  <\/p>\n<\/section>\n<section class=\"htt-article__section\" id=\"non-commodity\" aria-labelledby=\"non-commodity-title\">\n<h2 id=\"non-commodity-title\">The key concept: non-commodity content<\/h2>\n<p>\n    The most interesting part of the guide \u2014 and the one I focused on the most \u2014 is the introduction of the concept of <strong>non-commodity content<\/strong>.\n  <\/p>\n<p>\n    Google explicitly distinguishes between two types of content:\n  <\/p>\n<p>\n    <strong>Commodity content<\/strong> is based on common knowledge, could be written by anyone and adds little unique value. Google\u2019s own example is \u201c7 tips for first-time home buyers\u201d: generic content that exists everywhere.\n  <\/p>\n<p>\n    <strong>Non-commodity content<\/strong> is based on direct experience, original data, unique perspectives and verifiable expertise. Google\u2019s example is \u201cWhy we skipped the inspection and saved money: a sewer line analysis\u201d \u2014 content that only someone who actually lived through that experience could write.\n  <\/p>\n<aside class=\"htt-article__note\" role=\"note\" aria-label=\"Practical implication\">\n<p>\n      This distinction has enormous practical implications: AI-generated content that merely summarizes what already exists online is, by definition, commodity content. According to Google, the differentiating value comes from human experience, proprietary data and opinions grounded in direct expertise.<br \/>\n      It is a very clear signal about where Google wants the web to move.\n    <\/p>\n<\/aside>\n<p>\n    For marketers and digital communication professionals, this means the real question is no longer \u201cIs this article optimized for the right keywords?\u201d but rather \u201cDoes this article bring something that does not already exist elsewhere?\u201d.<br \/>\n    Real case studies, proprietary data and analyses based on direct client experience are the signals Google values inside AI-generated responses.\n  <\/p>\n<p>\n    This is the same principle behind the E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) introduced by Google in its content quality guidelines. The AI optimization guide now explicitly extends it to generative search experiences.\n  <\/p>\n<blockquote class=\"htt-quote\" aria-label=\"Quote by Giuseppe Pane\">\n<p class=\"htt-quote__text\">\n      &#8220;Non-commodity content is not a new concept. In journalism it is called a scoop, in academia it is called original research, in marketing it is called a case study. Google has simply given a technical name to something good editors already understood.&#8221;\n    <\/p>\n<footer class=\"htt-quote__author\">\n      <span class=\"htt-quote__name\">Giuseppe Pane, Web Analytics &amp; Data Specialist, HT&amp;T Consulting<\/span><br \/>\n    <\/footer>\n<\/blockquote>\n<\/section>\n<section class=\"htt-article__section\" id=\"commodity-vs-non-commodity\" aria-labelledby=\"commodity-vs-non-commodity-title\">\n<h2 id=\"commodity-vs-non-commodity-title\">Commodity vs non-commodity content: the practical difference<\/h2>\n<div class=\"htt-comparison-table\" role=\"region\" aria-label=\"Comparison between commodity and non-commodity content\">\n<table>\n<thead>\n<tr>\n<th scope=\"col\">Commodity content<\/th>\n<th scope=\"col\">Non-commodity content<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Repeats information already available online.<\/td>\n<td>Adds direct experience, original data or a proprietary point of view.<\/td>\n<\/tr>\n<tr>\n<td>Could be written by anyone.<\/td>\n<td>Can only be written by someone with expertise or access to specific information.<\/td>\n<\/tr>\n<tr>\n<td>Answers the keyword.<\/td>\n<td>Answers the real problem behind the search.<\/td>\n<\/tr>\n<tr>\n<td>Can easily be replicated by competitors or AI tools.<\/td>\n<td>Is difficult to copy because it comes from real cases, data, methodologies and observations.<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<\/section>\n<section class=\"htt-article__section\" id=\"what-it-does-not-say\" aria-labelledby=\"what-it-does-not-say-title\">\n<h2 id=\"what-it-does-not-say-title\">What the guide does not say: Google\u2019s strategic silences<\/h2>\n<p>\n    An official Google guide should also be read for what it does not say.<br \/>\n    There are several areas where the document is deliberately vague or silent, and those absences are just as informative as the statements themselves.\n  <\/p>\n<div class=\"htt-silence\" role=\"note\">\n<p class=\"htt-silence__label\">\u25cc Significant silence<\/p>\n<p class=\"htt-silence__text\">\n      <strong>How sources are selected for AI Overview and AI Mode<\/strong>: the guide explains that generative systems use RAG and retrieve content from the index, but it never explains the specific criteria determining why one source gets cited in an AI response instead of another. This remains a black box.\n    <\/p>\n<\/p><\/div>\n<div class=\"htt-silence\" role=\"note\">\n<p class=\"htt-silence__label\">\u25cc Significant silence<\/p>\n<p class=\"htt-silence__text\">\n      <strong>The decline of organic traffic<\/strong>: the guide talks about \u201cnew opportunities\u201d for websites appearing inside AI responses, but avoids discussing<br \/>\n      <a href=\"https:\/\/www.htt.it\/en\/zero-click-search-ai-reducing-clicks\/\">zero-click search<\/a><br \/>\n      and the loss of traffic affecting websites that are not cited.<br \/>\n      This is an uncomfortable topic for Google, which has every reason to present AI as an opportunity rather than a threat to the publisher ecosystem.\n    <\/p>\n<\/p><\/div>\n<div class=\"htt-silence\" role=\"note\">\n<p class=\"htt-silence__label\">\u25cc Significant silence<\/p>\n<p class=\"htt-silence__text\">\n      <strong>The monetization of AI responses<\/strong>: the guide says nothing about how advertising will work inside generative answers, nor how publishers may eventually benefit economically from being cited by AI systems. This remains an unresolved issue.\n    <\/p>\n<\/p><\/div>\n<div class=\"htt-silence\" role=\"note\">\n<p class=\"htt-silence__label\">\u25cc Significant silence<\/p>\n<p class=\"htt-silence__text\">\n      <strong>The knowledge graph and entity representation<\/strong>: one of the most important aspects influencing how AI systems describe brands is not mentioned at all. The guide does not discuss how organizations should manage their representation inside Google\u2019s knowledge graph, despite it being a critical factor for generative visibility.\n    <\/p>\n<\/p><\/div>\n<p>\n    The silence around the knowledge graph is especially relevant for us.<br \/>\n    The work we do through<br \/>\n    <a href=\"https:\/\/www.htt.it\/en\/json-ld-aeo-geo\/\"\n       aria-label=\"Read the AEO guide\">BRMA \u2014 Brand Recognition &amp; Mention Analysis<\/a>,<br \/>\n    consistently shows that the quality of a brand\u2019s representation inside the knowledge graph directly influences the frequency and accuracy of AI citations.<br \/>\n    Google does not talk about it, but that does not mean it is irrelevant \u2014 it probably means the area is not yet standardized enough for official documentation.\n  <\/p>\n<\/section>\n<section class=\"htt-article__section\" id=\"aeo-geo-redefined\" aria-labelledby=\"aeo-geo-title\">\n<h2 id=\"aeo-geo-title\">AEO and GEO according to Google: a redefinition<\/h2>\n<p>\n    The guide directly addresses the concepts of AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization), and does so in a particularly interesting way. Google states:<br \/>\n    <em>&#8220;From Google Search&#8217;s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.&#8221;<\/em>\n  <\/p>\n<p>\n    In other words: according to Google, AEO and GEO are not separate disciplines from SEO, but rather SEO applied to generative environments. There are no special techniques and no parallel optimization model. There is simply good SEO that also creates visibility inside AI-powered experiences.\n  <\/p>\n<p>\n    This position is technically correct \u2014 and it is also something we explain in our<br \/>\n    <a href=\"https:\/\/www.htt.it\/en\/how-to-master-geo-aeo\/\"\n       aria-label=\"Read HT&amp;T's AEO guide\">AEO guide<\/a>.<br \/>\n    The operational levers \u2014 semantic structure, E-E-A-T, high-quality content and structured data \u2014 are fundamentally the same as traditional SEO, applied with a deeper awareness of the ecosystem they now operate within.\n  <\/p>\n<p>\n    That said, reducing AEO and GEO to \u201cjust SEO\u201d is also a convenient way for Google to avoid acknowledging that generative search introduces new layers of complexity not fully covered by traditional SEO, such as knowledge graph management, entity optimization and AI citation analysis.<br \/>\n    These aspects do not disappear simply because Google chooses not to mention them.\n  <\/p>\n<blockquote class=\"htt-quote\" aria-label=\"Quote by Giacomo Boldrini\">\n<p class=\"htt-quote__text\">\n      &#8220;Saying that AEO and GEO are \u2018just SEO\u2019 is like saying that content marketing is \u2018just writing well\u2019. Technically true, practically incomplete. The complexity lies in the operational details that a three-page guide cannot possibly cover.&#8221;\n    <\/p>\n<footer class=\"htt-quote__author\">\n      <span class=\"htt-quote__name\">Giacomo Boldrini, Web Analytics &amp; CMP Specialist, HT&amp;T Consulting<\/span><br \/>\n    <\/footer>\n<\/blockquote>\n<\/section>\n<figure class=\"htt-article__figure\" aria-labelledby=\"fig-google-ai-optimization\">\n<p>  <img decoding=\"async\"\n    src=\"https:\/\/www.htt.it\/wp-content\/uploads\/2026\/05\/google-ai-optimization-guide-htt-1024x683.webp\"\n    alt=\"HT&amp;T infographic about the Google AI Optimization Guide 2026 with AI Overview, AI Mode, SEO, AEO, GEO, non-commodity content and AI agents\"\n    width=\"1024\"\n    height=\"683\"\n    loading=\"eager\"\n    fetchpriority=\"high\"><figcaption id=\"fig-google-ai-optimization\">\n    Visual summary of the official guide published by Google Search Central on May 15, 2026: technical SEO remains the foundation for AI Overview and AI Mode, while original content, accessibility, semantic structure and authority become even more central in the era of generative search.<br \/>\n  <\/figcaption><\/figure>\n<section class=\"htt-article__section\" id=\"google-vs-htt\" aria-labelledby=\"google-vs-htt-title\">\n<h2 id=\"google-vs-htt-title\">Google says \u201cit is still SEO\u201d. HT&amp;T adds: yes, but it must be measured differently<\/h2>\n<p>\n    Google\u2019s position is technically correct: AEO and GEO do not replace SEO. But in practice they introduce new metrics and new operational questions.\n  <\/p>\n<div class=\"htt-comparison-table\" role=\"region\" aria-label=\"Comparison between Google's position and HT&amp;T's interpretation\">\n<table>\n<thead>\n<tr>\n<th scope=\"col\">Topic<\/th>\n<th scope=\"col\">Google\u2019s position<\/th>\n<th scope=\"col\">HT&amp;T\u2019s interpretation<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>AEO and GEO<\/td>\n<td>They are still SEO.<\/td>\n<td>They are SEO applied to an ecosystem where citations, synthesis and brand representation also matter.<\/td>\n<\/tr>\n<tr>\n<td>llms.txt<\/td>\n<td>Not necessary for Google Search.<\/td>\n<td>Not useful for Google specifically, but potentially relevant within broader AI ecosystem strategies.<\/td>\n<\/tr>\n<tr>\n<td>Content<\/td>\n<td>Content should be useful, original and non-commodity.<\/td>\n<td>The strongest content includes case studies, proprietary data, benchmarks and analyses grounded in direct experience.<\/td>\n<\/tr>\n<tr>\n<td>Measurement<\/td>\n<td>The guide does not address it in detail.<\/td>\n<td>It becomes necessary to measure not only rankings and traffic, but also AI visibility, citation frequency and citation quality.<\/td>\n<\/tr>\n<\/tbody>\n<\/table><\/div>\n<\/section>\n<section class=\"htt-article__section\" id=\"ai-agents\" aria-labelledby=\"ai-agents-title\">\n<h2 id=\"ai-agents-title\">AI agents<\/h2>\n<p>\n    The final section of the guide is the one I spent the most time on \u2014 and the one where Google is the most cautious in making precise predictions.<br \/>\n    It is titled \u201cExplore agentic experiences\u201d.\n  <\/p>\n<p>\n    Google describes AI agents as autonomous systems capable of performing tasks on behalf of users such as booking, comparing and purchasing.<br \/>\n    It also explains that these agents access websites by analyzing visual rendering, DOM structure and accessibility trees.\n  <\/p>\n<p>\n    This represents a major shift in how optimization will need to work.<br \/>\n    Until now, search optimization mainly meant optimizing for how crawlers read text. With AI agents, optimization increasingly means optimizing for how autonomous systems <em>interact<\/em> with websites: clicking, navigating, interpreting interfaces and executing actions.\n  <\/p>\n<p>\n    Google references the<br \/>\n    <strong><br \/>\n      <a href=\"https:\/\/www.htt.it\/en\/agentic-ecommerce-acp-ucp-shopify-ai-commerce\/\"><br \/>\n        UCP (Universal Commerce Protocol)<br \/>\n      <\/a><br \/>\n    <\/strong><br \/>\n    as an emerging standard that will allow agents to do more.<br \/>\n    This is a signal worth monitoring carefully, especially for ecommerce businesses and websites with transactional functionality.\n  <\/p>\n<p>\n    The connection with what we are already analyzing around<br \/>\n    <a href=\"https:\/\/www.htt.it\/en\/agentic-ecommerce-acp-ucp-shopify-ai-commerce\/\"\n       aria-label=\"Read the article about agentic ecommerce\">agentic ecommerce<\/a><br \/>\n    is direct: websites that already have clean semantic structures, proper accessibility and predictable interfaces will have a structural advantage once AI agents become a mainstream way for users to interact with digital services.\n  <\/p>\n<aside class=\"htt-article__note\" role=\"note\">\n<p>\n      Google\u2019s practical recommendation here is simple: follow accessibility guidelines (WCAG), use semantic HTML and make interfaces navigable for screen readers. None of this is new \u2014 but now there is one more reason why it should become a strategic priority.\n    <\/p>\n<\/aside>\n<\/section>\n<section class=\"htt-article__section\" id=\"practical-implications\" aria-labelledby=\"practical-implications-title\">\n<h2 id=\"practical-implications-title\">Practical implications for marketers<\/h2>\n<p>\n    After reading and analyzing the guide, these are the concrete implications I consider most relevant for anyone managing a website, a brand or a digital communication strategy.\n  <\/p>\n<section class=\"htt-article__subsection\" aria-labelledby=\"imp1-title\">\n<h3 id=\"imp1-title\">Stop optimizing for AI as if it were a separate channel<\/h3>\n<p>\n      There is no \u201cSEO for AI\u201d separated from SEO itself. There is website quality \u2014 technical, editorial and experiential quality \u2014 that creates visibility across every context, including generative search experiences.<br \/>\n      Anyone planning parallel strategies can simplify considerably.\n    <\/p>\n<\/section>\n<section class=\"htt-article__subsection\" aria-labelledby=\"imp2-title\">\n<h3 id=\"imp2-title\">Invest in non-commodity content<\/h3>\n<p>\n      This is the clearest editorial priority emerging from the guide.<br \/>\n      Original data, proprietary research, verifiable case studies and analyses based on direct experience are the types of content Google values most inside generative responses.<br \/>\n      They are also the hardest types of content to produce and the hardest for competitors to replicate.\n    <\/p>\n<\/section>\n<section class=\"htt-article__subsection\" aria-labelledby=\"imp3-title\">\n<h3 id=\"imp3-title\">Ignore AI \u201chacks\u201d<\/h3>\n<p>\n      llms.txt files, chunking, AI rewrites and generative keyword stuffing are officially useless for Google Search.<br \/>\n      The time saved by avoiding these tactics can be reinvested into real content and technical quality.\n    <\/p>\n<\/section>\n<section class=\"htt-article__subsection\" aria-labelledby=\"imp4-title\">\n<h3 id=\"imp4-title\">Prepare for AI agents<\/h3>\n<p>\n      Accessibility, semantic HTML and predictable interfaces are no longer just best practices.<br \/>\n      They are becoming the technical prerequisite for being accessible to the AI agents that will increasingly interact with websites on behalf of users.\n    <\/p>\n<\/section>\n<section class=\"htt-article__subsection\" aria-labelledby=\"imp5-title\">\n<h3 id=\"imp5-title\">Continue working on the knowledge graph<\/h3>\n<p>\n      The guide does not mention it, but that does not mean it is irrelevant.<br \/>\n      Managing brand representation across Google entities, Wikipedia, Wikidata, sameAs markup and authoritative industry sources remains one of the key drivers of visibility inside AI-generated responses.<br \/>\n      This is an area Google has not yet standardized enough to include in public documentation, but in practice it already makes a measurable difference.\n    <\/p>\n<\/section>\n<\/section>\n<section class=\"htt-article__section htt-article__cta\" aria-labelledby=\"cta-guide-title\">\n<h2 id=\"cta-guide-title\">Want to understand how to position your brand inside AI-generated responses?<\/h2>\n<div class=\"htt-author-card\" role=\"group\" aria-label=\"Article author\">\n<p>\n      This article was developed from the official Google Search Central documentation published on May 15, 2026 and integrated with HT&amp;T\u2019s operational experience across SEO, structured data, content strategy and AI visibility analysis.\n    <\/p>\n<\/p><\/div>\n<p>\n    HT&amp;T Consulting analyzes brand visibility across major AI models such as GPT, Gemini and Perplexity, building strategies designed to improve the quality and frequency of citations inside generative responses.\n  <\/p>\n<p>\n    <a href=\"\/en\/contact\/\" class=\"htt-cta-button\" aria-label=\"Request an AEO and GEO consultation\"><br \/>\n      Request a consultation<br \/>\n    <\/a>\n  <\/p>\n<\/section>\n<section aria-labelledby=\"faq-guide\" class=\"htt-faq\">\n<h2 id=\"faq-guide\">Frequently asked questions<\/h2>\n<details open>\n<summary>Did Google officially publish a guide about AI optimization?<\/summary>\n<p>\n      Yes. On May 15, 2026 Google published the document \u201cOptimizing your website for generative AI features on Google Search\u201d inside Google Search Central.<br \/>\n      The guide explains how AI Overview, AI Mode and future agentic experiences interact with websites.\n    <\/p>\n<\/details>\n<details open>\n<summary>Does traditional SEO still matter for AI Overview and AI Mode?<\/summary>\n<p>\n      Yes. Google explicitly confirms that traditional SEO best practices remain the foundation for visibility inside generative search experiences because AI systems retrieve information from the normal search index.\n    <\/p>\n<\/details>\n<details open>\n<summary>Does Google recommend using llms.txt files?<\/summary>\n<p>\n      No. Google clearly states that llms.txt files and special AI-oriented text files are not required for appearing in AI Overview or AI Mode.\n    <\/p>\n<\/details>\n<details open>\n<summary>Is content chunking necessary for AI search optimization?<\/summary>\n<p>\n      No. According to Google, its systems are capable of understanding long pages and extracting relevant sections without the need to artificially split content into small fragments.\n    <\/p>\n<\/details>\n<details open>\n<summary>What is non-commodity content?<\/summary>\n<p>\n      Google defines non-commodity content as content based on direct experience, proprietary data, unique perspectives and real expertise. It is content that cannot easily be replicated by competitors or AI-generated summaries.\n    <\/p>\n<\/details>\n<details open>\n<summary>What is the difference between SEO, AEO and GEO?<\/summary>\n<p>\n      SEO focuses on visibility inside traditional search results. AEO focuses on being selected inside direct answers and AI-generated summaries. GEO focuses on how brands are represented and cited inside generative engines such as Gemini, GPT and Perplexity.\n    <\/p>\n<\/details>\n<details open>\n<summary>Does structured data still matter for AI Search?<\/summary>\n<p>\n      Yes. Google confirms that structured data and semantic markup still help Search understand website content and remain important for rich results and contextual understanding.\n    <\/p>\n<\/details>\n<details open>\n<summary>Why does Google mention AI agents?<\/summary>\n<p>\n      Google describes AI agents as autonomous systems capable of interacting with websites, navigating interfaces and completing actions on behalf of users. This makes accessibility, semantic HTML and interface predictability increasingly important.\n    <\/p>\n<\/details>\n<details open>\n<summary>Does Google explain how sources are selected inside AI Overview?<\/summary>\n<p>\n      No. The guide confirms that AI systems retrieve information from Google\u2019s index, but it does not explain the exact criteria determining why some sources are cited while others are not.\n    <\/p>\n<\/details>\n<details open>\n<summary>Is AI optimization becoming a completely separate discipline from SEO?<\/summary>\n<p>\n      According to Google, no. Google\u2019s position is that optimizing for generative AI search experiences is still SEO. However, in practice, AI visibility also introduces new topics such as entity optimization, citation analysis and knowledge graph management.\n    <\/p>\n<\/details>\n<\/section>\n<section aria-labelledby=\"bibliography\" class=\"htt-bibliography\">\n<h2 id=\"bibliography\">Bibliography<\/h2>\n<div class=\"htt-bibliography__grid\" role=\"list\" aria-label=\"Sources and references\">\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h4>Google Search Central \u2014 Optimizing your website for generative AI features on Google Search<\/h4>\n<p>\n        Official documentation published by Google on May 15, 2026 explaining how AI Overview, AI Mode and agentic experiences interact with SEO and website optimization.\n      <\/p>\n<p>\n        <a href=\"https:\/\/developers.google.com\/search\/docs\/fundamentals\/ai-features\"\n           target=\"_blank\"\n           rel=\"noopener noreferrer\">Open source<\/a>\n      <\/p>\n<\/article>\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h4>Google Search Central \u2014 SEO Starter Guide<\/h4>\n<p>\n        Google\u2019s official documentation on technical SEO fundamentals including indexing, crawlability, structured data and website quality.\n      <\/p>\n<p>\n        <a href=\"https:\/\/developers.google.com\/search\/docs\/fundamentals\/seo-starter-guide\"\n           target=\"_blank\"\n           rel=\"noopener noreferrer\">Open source<\/a>\n      <\/p>\n<\/article>\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h4>Google Search Quality Evaluator Guidelines<\/h4>\n<p>\n        Official Google document introducing E-E-A-T concepts such as Experience, Expertise, Authoritativeness and Trustworthiness for evaluating content quality.\n      <\/p>\n<p>\n        <a href=\"https:\/\/static.googleusercontent.com\/media\/guidelines.raterhub.com\/en\/\/searchqualityevaluatorguidelines.pdf\"\n           target=\"_blank\"\n           rel=\"noopener noreferrer\">Open source<\/a>\n      <\/p>\n<\/article>\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h4>Google Developers \u2014 Retrieval-Augmented Generation (RAG)<\/h4>\n<p>\n        Technical documentation explaining retrieval-augmented generation systems and how AI models retrieve information from external sources.\n      <\/p>\n<p>\n        <a href=\"https:\/\/developers.google.com\/machine-learning\/resources\/retrieval-augmented-generation\"\n           target=\"_blank\"\n           rel=\"noopener noreferrer\">Open source<\/a>\n      <\/p>\n<\/article>\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h4>W3C \u2014 Web Content Accessibility Guidelines (WCAG)<\/h4>\n<p>\n        International accessibility standards referenced by Google in relation to AI agents, semantic navigation and accessible interfaces.\n      <\/p>\n<p>\n        <a href=\"https:\/\/www.w3.org\/WAI\/standards-guidelines\/wcag\/\"\n           target=\"_blank\"\n           rel=\"noopener noreferrer\"><br \/>\n          Open source<br \/>\n        <\/a>\n      <\/p>\n<\/article>\n<article class=\"htt-biblio-card\" role=\"listitem\">\n<h4>HT&amp;T Consulting \u2014 JSON-LD, AEO and GEO<\/h4>\n<p>\n        HT&amp;T analysis on semantic structure, structured data and optimization strategies for generative engines and answer engines.\n      <\/p>\n<p>\n        <a href=\"https:\/\/www.htt.it\/en\/json-ld-aeo-geo\/\"\n           target=\"_blank\"\n           rel=\"noopener noreferrer\">Open source<\/a>\n      <\/p>\n<\/article><\/div>\n<\/section>\n<\/article>\n        <\/div>\n    <\/div>\n<\/section>\n\n\n\n<style>\n\/* ===============================\n   HT&T Magazine \u2013 AI Guide Blocks\n   =============================== *\/\n\n.htt-article {\n  color: #111827;\n}\n\n.htt-article p {\n  line-height: 1.75;\n}\n\n.htt-article__meta {\n  margin-top: 1rem;\n  font-size: 0.9rem;\n  color: #6b7280;\n}\n\n\/* Quote *\/\n\n.htt-quote {\n  position: relative;\n  margin: 2.5rem 0;\n  padding: 2rem 2.2rem;\n  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It confirms the importance of high-quality content, technical structure and user experience, while debunking practices such as llms.txt files, content chunking and AI-specific rewrites.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Are llms.txt files useful for Google?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"No. Google explicitly states that it is not necessary to create machine-readable files or special AI markup to appear in Google Search generative features. llms.txt files may have value for other AI models such as ChatGPT or Claude, but they do not affect how Google handles a website.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is non-commodity content according to Google?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Non-commodity content is content based on direct experience, original data and a unique point of view \u2014 something that could not easily be written by anyone or automatically generated by AI systems. Google contrasts it with commodity content based on common knowledge without unique added value.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Are AEO and GEO still relevant after this guide?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes, but Google reframes them as extensions of traditional SEO rather than separate disciplines. According to Google, optimizing for generative search means optimizing for Search in general. Specific areas such as knowledge graph management and AI citation analysis are not covered in the guide but remain highly relevant in practice.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What are AI agents and how do they affect websites?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"AI agents are autonomous systems capable of performing tasks on behalf of users by interacting with websites through visual rendering, DOM structure and accessibility trees. Google presents them as an emerging technology and recommends preparing websites with semantic HTML, proper accessibility and predictable interfaces.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What does Google's AI optimization guide not explain?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"The guide does not explain the exact criteria determining why content is cited inside AI-generated answers, does not address the decline of organic traffic caused by zero-click search, does not discuss knowledge graph and brand entity management, and does not explain how AI-generated answers will be monetized for publishers.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Do AI Overview and AI Mode use the same Google Search index?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Yes. According to Google, generative Search features retrieve content from Google\u2019s search index and rely on the same ranking and quality systems used by Search. This means pages must remain crawlable, indexable and eligible for Search visibility in order to appear inside AI experiences as well.\"\n      }\n    }\n  ]\n}\n<\/script>\n\n\n\n<!-- SECTION -->\n<section  class=\"block-banner-mmet darksection\" style=\"\">\n    <div class=\"htt-container htt-talk-idea\">\n        <div class=\"htt-talk-idea--left\">\n            <p>Do you want to build strategies to improve the quality and frequency of citations in generative AI responses?<\/p>\n        <\/div>\n        <div class=\"htt-talk-idea--right\">\n            <div class=\"htt-talk-idea--card\">\n                <h4>\ud83d\udc4b <br>Discuss it with                    Massimiliano!\n                <\/h4>\n                                        <div class=\"htt-talk-idea--person\">\n                            <div class=\"avatar\" style=\"background-image: url(https:\/\/www.htt.it\/wp-content\/uploads\/2023\/12\/avatar_massimiliano-1.webp)\"><\/div><p>Massimiliano Baldocchi<span>Massimiliano Baldocchi is CEO of HT&#038;T Consulting and has been working in the fields of communication, marketing, and digital for over 30 years. He holds a degree in Computer Science from the University of Pisa and leads the agency\u2019s strategic vision, helping companies and brands define integrated strategies that combine data, creativity, and technology.<\/span><\/p>                        <\/div>\n                                                    <!-- <a class=\"htt-talk-idea--meet\" href=\"https:\/\/www.htt.it\/contatti\/\">Prenota un meet<\/a> -->\n                <a class=\"htt-talk-idea--meet\" href=\"https:\/\/www.htt.it\/contatti\/\">Book a meeting<\/a>\n            <\/div>\n        <\/div>\n    <\/div>\n<\/section>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":20,"featured_media":9400,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1,120],"tags":[197,885,509,355,886,199,692,887,834,888,200,56,889],"class_list":["post-9402","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agency","category-ai-en","tag-aeo-en","tag-agenti-ai-2","tag-agentic-commerce-2","tag-ai-mode-2","tag-contenuto-non-commodity-2","tag-geo-en","tag-google-ai-overview","tag-google-search-central-2","tag-llms-txt-2","tag-ottimizzazione-ai-2","tag-seo-2-en","tag-seo","tag-ucp-2"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.5 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Google AI Optimization Guide: SEO, AEO &amp; 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