PageSpeed and AI Agents: What Your Website Now Has to Do
Your website was built for human visitors. AI agents have different expectations entirely.
They do not just crawl your pages. They read them, follow your links, extract information and decide whether your business is worth mentioning in the answer they deliver to a real person.
This piece covers what your site now needs to do to stay visible in that process.
For most of the last decade, website speed was straightforward. Faster pages meant people stayed longer, bounced less and bought more. Google rewarded the fast ones. Slow sites fell behind.
That logic still holds. But there is now a second audience your website has to satisfy, and it has entirely different requirements.
AI assistants, AI search engines and autonomous AI agents are increasingly browsing the web on your customers’ behalf. They do not just look at your pages. They read them, follow your internal links, extract information, compare it with information from other sites and deliver a final answer back to the user.
Whether your business gets mentioned in that answer depends, in part, on whether your website is built in a way that makes sense to a machine.
This is what people mean when they talk about agentic browsing. And it changes what a good website actually needs to do.
Why PageSpeed Still Matters
Google’s PageSpeed Insights tool measures how quickly and reliably your pages load and behave. It draws on real-world data from Chrome users as well as its own laboratory testing.
The three figures that matter most are:
Largest Contentful Paint. How quickly does the main content appear on screen?
Interaction to Next Paint. How fast does the page respond when someone does something?
Cumulative Layout Shift. Does the page jump around while it loads, or stay stable?
These were designed with human visitors in mind. But AI systems have a very similar set of requirements. Pages that load fast, stay stable and render cleanly are easier for AI crawlers to process correctly. Pages that are slow, bloated or dependent on complex JavaScript are more likely to be misread, partially read or ignored.
What an AI Agent Actually Does
A traditional search engine sends a crawler to read your page and add it to an index. That crawler is not trying to understand your business. It is collecting text and signals.
An AI agent does considerably more.
It might land on your homepage, follow a link to a service page, read a case study, extract a specific fact, cross-reference it with something on a competitor’s site and then produce a summary recommendation for the person who asked. All without a human clicking a single link.
This is closer to how a researcher works than how a crawler works. And it means your website has to be navigable, logical and explicit in a way that most sites currently are not.
What Your Website Needs
None of this requires a complete rebuild. Most of it is good web practice that was being neglected long before AI arrived.
Pages that load quickly. AI crawlers have a limited processing budget. Excessive scripts, oversized images and slow servers consume that budget before the page is properly read. Keep things lean.
Layouts that stay still. If your page shifts around while it loads, an AI system has to recalculate where everything is. That increases the chance of misinterpretation. Stable pages are more reliably understood.
A clear content structure. Every page should have one main heading, supported by logical subheadings, concise paragraphs and, where relevant, bullet lists, tables and FAQs. This is not about formatting for its own sake. It is about making it unambiguous what each section is trying to say.
Proper HTML. Semantic HTML elements such as header, main, article, nav and footer are not decorative. They tell machines what role each part of the page plays. An AI system reading a well-structured HTML document has far less guesswork to do than one reading a div-soup layout built entirely for visual effect.
Content that exists in the HTML. If important information is hidden behind a JavaScript widget, loaded on interaction or stored inside an image, there is a reasonable chance an AI system will never see it. Critical content needs to live in the actual page source.
Good internal linking. AI agents follow links. If your most important pages are buried three clicks deep with no logical path to them, they may simply never be found. Connect your content properly.
Schema markup. Structured data tells AI systems explicitly what type of content they are reading, who it is from and what it refers to. It does not replace good content, but it removes ambiguity.
An llms.txt file. This is a relatively new development. An llms.txt file sits on your website and tells AI systems which pages are most important and most trustworthy. Think of it as a curated map of your site, written specifically for AI models rather than human visitors.
The JavaScript Problem
A significant number of modern websites are built on JavaScript frameworks that assemble the page in the browser rather than delivering it ready-made from the server.
Human visitors rarely notice this. Their browsers handle it.
AI crawlers are less forgiving. If a crawler cannot fully execute the JavaScript, it may see a blank page or a stripped-down version of your content. The risk is that your most important information simply does not exist, as far as the AI is concerned.
The practical answer is to ensure that important content is rendered server-side before it reaches the browser. Your developer will know what this means. If they are building or rebuilding your site, it is worth asking the question directly.
A Simple Test
If you want to get a sense of how well your site works for AI systems, try this.
Imagine an AI assistant has been asked to find a business like yours, understand what you offer, identify a specific piece of information and reach your contact or booking page.
Can it do all of that by reading and following the structure of your site? Or would it get stuck, misled or simply run out of useful content to follow?
Most businesses, if they are honest, will find the answer somewhere in between. The gap between where they are and where they need to be is the work.
The Broader Point
Traditional search optimisation was about helping Google find your pages.
AI optimisation is about helping intelligent systems understand your pages, trust them and use them when answering questions on behalf of real people.
PageSpeed Insights remains a useful benchmark. But performance is now only part of the picture. Speed, structure, accessibility, explicit content and clear internal architecture are becoming the baseline for any business that wants to remain visible as AI search becomes the default.
The businesses that get this right early will not just rank better. They will be cited, recommended and surfaced by AI systems in ways that their slower-moving competitors will not.
Steve Coulter is an independent AI search consultant based in the UK. Through State of the Art Digital, he helps business owners understand how AI systems find, read and cite their websites, and what to do when they do not. His clients include car dealers, car dealer groups, estate agency groups and other SME businesses. His retained advisory service gives clients ongoing strategic guidance as AI search continues to change the rules. If you would like to understand where your business stands please contact me.