11 Jun Technical SEO for AI Crawlers: What You Must Fix Right Now

SEO for AI Crawlers – What Needs to be Changed NOW!

When I first started learning about SEO, I thought the whole game was just an easy task — Just write good content, build backlinks, rank on Google and you are done!!

But as I began my SEO journey and dug deeper into the concept, I realized that for the year 2026, there is another side of SEO which most people don’t even realize.

It is not about ranking on Google anymore, it is about how easily ChatGPT, Perplexity, Google’s Gemini, and other AI crawlers will be able to access your website.

That’s what this post is about. And once you go through it, you’ll see websites in a whole new light!

Wait — AI Crawlers? What Even Is That?

Okay, let’s take a step back. You’ve probably heard of web crawlers  — those bots which crawl through sites to collect and index information. There’s the well-known Googlebot from Google. It has been doing its job for decades now, and most people familiar with SEO would know about it.

What’s new, however, is the emergence of AI crawlers. Here are some examples of those bots crawling the internet currently:

• GPTBot — this is OpenAI’s crawler. That’s how ChatGPT finds and collects information from websites
• ClaudeBot — this crawler is operated by Anthropic and used by Claude (AI assistant)
• PerplexityBot — this is Perplexity’s crawler; Perplexity is the rapidly developing AI search engine
• Google-Extended — Google’s crawler dedicated to its Gemini AI

So when you publish a blog post or update your website, it’s not just Googlebot coming to read it anymore. All of these bots can be expected to turn up. And whether or not they can read your content properly determines whether your brand gets mentioned in AI answers.

Take some time to consider this. If your industry’s best tools are being asked about from ChatGPT, and your website isn’t readable to GPTBot – then guess what? Your company doesn’t even make an appearance in that answer!

The Big Problem: AI Bots Read Websites Differently Than Google

Here’s the twist – or maybe more of a tech explanation, but let me try my best to keep it simple.

First off, Googlebot is quite clever. When accessing any particular website, it doesn’t leave until the page with all the JavaScript has loaded, which makes it easy to understand why Google can still read most of the modern web pages despite their rather complex nature.

With AI bots, the story looks different. These programs access a page and analyze everything available within its HTML code without waiting for JavaScript to load.

Why does it matter? Because today, there are loads of websites that use JavaScript frameworks (React, Vue.js, Angular) to create a single-page application with unique features. All that text on the page is created dynamically with the help of these JavaScript frameworks, meaning that before JavaScript, all you have is a basic structure without any readable text.

So when GPTBot or PerplexityBot access a similar site, they won’t be able to find much there.

A Simple Example to Clarify Things

Consider two coffee shops in one neighborhood. The first shop sells great coffee. Both shops have websites.

Shop A has a very good looking website, designed by a high-class developer. Animations and dynamic menus, fast loading times and all other fancy stuff that can be found on a website. Everything on this website is powered by JavaScript.

The second shop, Shop B, has a rather primitive, but still a working website. Nothing much to see. Just plain text and basic design. Loads faster than the website from Shop A.

Somebody asks Perplexity a question. “Best coffee shops near me that make specialty brews?”

The bot starts visiting websites. Shop A’s site opens up and the bot sees nothing more than a blank space on the screen – JavaScript hasn’t started yet. The website from Shop B opens up fully loaded – menu, story, specialties.

Which shop is mentioned in the results? You guessed it, the one with the plain, old school website.

That’s how it goes for businesses nowadays. Except that they don’t know about that.

What Makes a Website Readable for AI Crawlers

A few technical factors determine whether AI crawlers can properly understand and be cited by your content.

Clean HTML content is the foundation. If your text and headings are aligned properly in the page’s source code from the start, AI bots can read them easily. Content that only appears after JavaScript loads may never be seen.

Page speed matters more than most people think. Pages that load their first content in under one second are far more likely to be fully crawled than pages taking three to four seconds. Slow websites don’t just hurt user experience; they reduce AI visibility.

Schema markup helps AI understand what it’s reading. Whether it’s an article, FAQ, product, or business page, schema provides context and makes content easier to interpret and be cited.

Sitemaps are equally important. While Googlebot is good at discovering pages on its own, AI crawlers rely much more heavily on XML sitemaps. Without a clear sitemap, some of your pages may never be found.

Why This Matters More Than Most People Think

The surprising thing is that while ChatGPT, Perplexity, and Google AI Mode may favor certain sites more than others in their citation lists, these aren’t necessarily the sites with the best content. It could be that the sites they are citing most are simply the easiest to access technologically.

With fast-loading sites, good HTML coding, proper use of schema, and structured data, the AI crawlers have better access to content and can therefore extract information with greater accuracy. In many cases, technological accessibility is as important as the actual content.

That is why things like semantic HTML, structured data, crawlability, and entity optimization are becoming more important today.

FAQs

Q1. Can AI crawlers read JavaScript?

Not always. Many AI crawlers struggle with JavaScript-heavy websites and prefer clean HTML content.

Q2. Does page speed affect AI visibility?

Yes. Fast-loading pages are easier for AI bots to crawl and understand.

Q3. Why is schema markup important for AI search?

Schema helps AI systems understand the type and meaning of your content, making it easier to cite.

Q4. Do AI crawlers use XML sitemaps?

Yes. Sitemaps help AI crawlers discover and access important pages on your website.

Q5. Is technical SEO important for GEO?

Absolutely. Without proper technical foundations, AI systems may never see your content, regardless of its quality.

The Simple Version of All This

If you’re just beginning with digital marketing and everything above seems to be too complicated – here is the bottom line version:

Currently, there are AI crawlers crawling websites. These crawlers can’t read websites with extensive JavaScript-based content. They won’t crawl slow websites. They don’t understand websites without schema markup. And they fail to identify websites without a sitemap.

Companies with these problems receive mentions from AI. Companies without these problems receive no mentions.

The content strategy discussion – what type of content to create, how to create it and how to get mentions – makes no sense unless AI is able to find the content in the first place. AI-friendly technical SEO is not an advanced subject – it is simply a prerequisite for any other actions.

The sad part is that the majority of people don’t even know about its existence. And this alone already gives you a significant edge.