--- tytul: "Agentic Browsing in PageSpeed Insights: How to Prepare" opis: "Agentic Browsing in PageSpeed Insights checks whether an AI agent can understand your website. See how to read the test result and what to fix in your semantics." adres: https://justidea.agency/en/blog/agentic-browsing-pagespeed-insights/ serwis: "JustIdea Agency" jezyk: pl zrodlo: automatyczny odpowiednik strony HTML, generowany przy każdym buildzie --- Article # Agentic Browsing in PageSpeed Insights: How to Prepare Your Site Agentic Browsing in PageSpeed Insights checks whether an AI agent can understand your website. See how to read the test result and what to fix in your semantics. [![Kalina Mądry](https://justidea.agency/obrazy/kalina-madry-150x150-aee8d924.webp) Kalina Mądry SEO Specialist](https://justidea.agency/en/author/kalina-madry/) 17 July 2026 15 min read 7 sections ![Agentic Browsing in PageSpeed Insights: How to Prepare Your Site?](https://justidea.agency/_astro/szablon-9-18-1-42442011.BXKo13sn.webp) AI Trusted by ![LPP](https://justidea.agency/obrazy/lpp-logo-2-b64d3a02.svg) ![House](https://justidea.agency/obrazy/logo-house-c706eeae.svg) ![Toyota](https://justidea.agency/obrazy/toyota2-1-63c6570a.webp) ![Fame MMA](https://justidea.agency/obrazy/fame-ffb4e0d0.webp) ![Surf Inc.](https://justidea.agency/obrazy/surfinc-91e5b73d.webp) ![LyoFood](https://justidea.agency/obrazy/lyo-cb899d46.webp) ![ExpertSender](https://justidea.agency/obrazy/expert-ca00548d.webp) ![Purinova](https://justidea.agency/obrazy/purinova-217da6ab.webp) ![Mennica Gdańska](https://justidea.agency/obrazy/mennica-98166c12.webp) ![Group IB](https://justidea.agency/obrazy/group-ib-b711171e.webp) ![Smart Kids Planet](https://justidea.agency/obrazy/smart-kids-151311c5.webp) ![SuperSonic](https://justidea.agency/obrazy/supersonic-a35404fe.webp) ![Wierzynek](https://justidea.agency/obrazy/wierzynek-1-d027e7cc.webp) ![RegoBis](https://justidea.agency/obrazy/regobis-a8b446e3.webp) **In this article** 1. 01What Is Agentic Browsing and Why Is It Changing How We Use the Internet? 2. 02Agentic Browsing in Google PageSpeed Insights: What Does the New Feature Mean? 3. 03The Technical Backbone of the Agentic Web: How Do Machines Interpret a Website? 4. 04How to Prepare Your Site for Agentic Browsing and the Coming Age of AI 5. 05Agentic Browsing and the Future of SEO: Is This a New Web Standard? 6. 06FAQ: Frequently Asked Questions About Agentic Browsing 7. 07See Also: Share The internet is increasingly no longer a space handled only by people and classic indexing bots. Autonomous assistants, meaning advanced AI agents, are entering the game en masse, capable of independently searching for information, comparing offers, using forms and carrying out complex tasks on behalf of the user. In response to this revolutionary shift, a new feature debuted on 7 May 2026: agentic browsing in PageSpeed Insights, referred to in the Polish version as "Przeglądanie agentowe" (Agentic Browsing). Its main job is to check whether a site can be correctly handled by autonomous artificial-intelligence systems and whether it is fully adapted to work with AI agents. The new audit shows that modern site optimisation no longer stops at loading speed, responsiveness and search visibility alone. Semantic HTML code, the accessibility of interactive elements, and the ability to clearly recognise the actions that can be performed on a page are all becoming increasingly important. ## What Is Agentic Browsing and Why Is It Changing How We Use the Internet? For many years, the internet was designed with two main audiences in mind: users and search engine bots such as [Googlebot](https://justidea.agency/en/services/websites/website-seo-audit/). Today, this model is starting to change in favour of autonomous systems that use language models to carry out tasks on a person's behalf. It's with these systems in mind that Google is developing a new audit category, **agentic browsing**, which appeared in [Google PageSpeed Insights](https://justidea.agency/en/blog/how-google-indexing-works/)**.** Its aim is to check whether a website is prepared not only to display content to people, but also to be correctly interpreted and handled by **artificial intelligence**. This is a significant shift, because AI is no longer limited to answering simple questions. It's increasingly able to analyse sites on its own, compare offers, fill in forms, or plan the next steps without needing constant user involvement. This means site owners should start designing their websites not only with classic [SEO](https://justidea.agency/en/services/marketing-agency/ai-seo/) in mind, but also with the new generation of intelligent assistants. ### Who Are AI Agents and How Are They Becoming the Web's New Users? AI agents are advanced systems that, unlike traditional chatbots, aren't limited to generating text answers. They can independently pursue specific goals by planning actions, using external tools, browsing websites, and making decisions based on the data they've gathered. In practice, this means that instead of a person, such an assistant can independently find the best insurance offer, compare the technical specifications of devices, book a hotel, or put together a shopping cart. For website owners, this means the arrival of a completely new type of visitor. It isn't guided by the site's aesthetics and appearance, but by its code structure, technical accessibility, and how easy specific interactions are to carry out. That's exactly why [Google](https://justidea.agency/en/services/marketing-agency/google-ads/), in its new audits, places such heavy emphasis on elements that make it easier for machines to navigate a site, such as semantic [HTML](https://justidea.agency/en/services/websites/website-seo-audit/) code, correctly described buttons, and a logical heading hierarchy. ### How Do Autonomous Shopping Assistants Work in Practice? Imagine a situation where a user asks their AI assistant to find the best coffee machine within a set budget. Instead of displaying a list of links to browse on their own, the agent visits selected online shops itself, analyses product descriptions, directly compares technical specifications, checks reviews and availability, and then presents a ready-made recommendation or prepares an order for the user to finalise. For such a scenario to be possible, the site must be fully readable by the machine. A correct code structure, clearly described interactive elements, and a stable interface all become essential. The new Agentic Browsing audit was created precisely to check whether a site can handle these kinds of autonomous tasks. ### From Traditional SEO to AEO: How Are Customer Search Intents Changing? The development of AI agents is fundamentally changing how people find information online. Until recently, the main goal of SEO was to achieve a high position in search results and encourage the user to click on a link. Today, users increasingly don't want to browse pages themselves, they expect a ready-made answer or the immediate completion of a task. In this new model, **AEO (Answer Engine Optimization)** is becoming hugely important: optimising content for systems that generate direct answers. This isn't the end of classic SEO, though, but its natural evolution. Modern websites need to be well visible in traditional search results, easy for language models to understand, and fully prepared for technical cooperation with AI agents that carry out specific actions on behalf of the user, all at the same time. Companies that adapt their sites to these requirements the fastest will gain a significant competitive advantage in an era where artificial intelligence increasingly makes purchasing decisions. ### How Does Agentic Browsing Differ from Googlebot Indexing? The classic Googlebot focuses primarily on [indexing content](https://justidea.agency/en/services/websites/website-seo-audit/): understanding a site's subject matter so it can appear for the right queries in search results. It doesn't simulate the behaviour of a regular user, doesn't click buttons, and doesn't go through transactional processes. **Agentic Browsing** works completely differently. It's based on active interaction with the site. An AI agent visits a page with a specific task to complete: it might click a button, fill in a form, filter products, compare offers, or check whether the whole process can be completed. That's why code quality, the technical accessibility of elements, and interface stability matter so much. Classic SEO answered the question "does the search engine understand the page's content?", while Agentic Browsing asks a new, far more demanding question: "can artificial intelligence actually use this page effectively?" ## Agentic Browsing in Google PageSpeed Insights: What Does the New Feature Mean? Until now, Google PageSpeed Insights focused on performance, accessibility, compliance with best practices, and aspects related to standard SEO. The new audit extends this analysis with another dimension, checking a site's readiness for direct cooperation with autonomous assistants. This means that, alongside speed and correct page rendering, how clear the interface is to language models is now becoming essential. Google stresses that this feature is currently experimental and will be developed further as AI assistants become more widespread. Even now, though, it's worth treating it as a sign of the direction modern technical optimisation is heading in. ### How to Check the AI Test Result and Interpret the New Recommendations The result of the new analysis can be found directly in **Google PageSpeed Insights**, alongside the classic sections assessing performance or SEO. Unlike the traditional performance score, which is presented on a scale from 0 to 100 points, Agentic Browsing displays its result as a fraction, for example 2/3 or 1/2. The number on the left indicates how many audits were passed, while the number on the right shows how many tests were run for the given page. It's worth remembering that the denominator isn't fixed, it depends on the type of site and which audits Lighthouse considers applicable. Google also notes that the category is experimental, so both the number of tests and how they're scored may change in future versions of the tool. To find out which elements need improving, you just need to expand the report's details. The tool clearly points out specific failed audits, suggests what changes to make, and explains why particular code errors can block AI assistants. These recommendations link directly to the standard best practices and SEO categories, most often concerning the readability of the HTML code, correctly associated form labels, and the site's visual stability. ![How to check the AI test result](https://justidea.agency/_astro/c8b759a5e52a6a4ae35a927a136bbb28-1024x317-dbae73fa.BzSD4roh_VYd59.webp) How to check the AI test result ### Why Does This Topic Matter for Website Owners and SEO Specialists? Although Google doesn't yet treat the Agentic Browsing score as a direct ranking factor, preparing a site for these guidelines genuinely strengthens technical SEO. For online business owners, this is a clear signal that classic search engine optimisation needs to be extended with technical flexibility in the code. Investing in correct semantic code and modern accessibility standards is no longer just a matter of niche technical audits. It's becoming a real foundation for building brand visibility in an environment where artificial intelligence increasingly makes purchasing decisions and searches for offers on behalf of the end customer. ![Your website through the eyes of an AI agent](https://justidea.agency/_astro/702376c74f78847be6941ee17dd59521-1024x572-d17979e5.CnalXkew_ZFIauv.webp) Your website through the eyes of an AI agent ## The Technical Backbone of the Agentic Web: How Do Machines Interpret a Website? One of the biggest differences between traditional internet browsing and Agentic Browsing is how artificial intelligence "sees" a page. A human pays attention mainly to the graphic design, colours and how intuitive the interface is. AI agents work completely differently: they ignore aesthetics and focus on the **document structure**, the relationships between elements, and the actions that can be performed on them. As a result, well-written, semantic code becomes just as important as attractive design. ### Accessibility Tree, Semantic HTML and Structured Data: How Does AI Interpret a Page? Although modern AI models can already analyse screenshots, the page's source code remains their primary and most reliable source of information. The **Accessibility Tree** plays a key role here: a structure the browser builds from the HTML code. It's exactly this tree that AI agents read to work out which elements are headings, buttons, links or form fields, and what actions can be performed on them. The more semantic the HTML code is (correct use of the
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