Technical SEO Evolution: What’s Changed & What to Prioritize

Technical SEO helps search engines (and now AI tools) understand your website so your business can be found online. As AI platforms like ChatGPT and Perplexity start reading web content, websites need to be structured clearly so both humans and machines can easily understand them.

---

There is no doubt that technical SEO remains a critical pillar of any SEO strategy. While most of the work is done “behind the scenes”, it plays a key role in helping search engines access, crawl, and understand your website as well as ensuring your website efforts are recognized and effective. It also ensures that technical issues, such as broken links and metadata errors, are identified and resolved, reinforcing the value of ongoing maintenance. 

Until recently, most optimization efforts were focused almost entirely towards GoogleBot and BingBot, the web crawler software that Google and Microsoft use. In the last few years, the scenario has evolved. A new set of “players” has entered the scene: Large Language Models (LLMs), like ChatGPT, Claude, and Perplexity. These platforms also rely on their own AI crawlers to discover and process web content, including:

• GPTBot
• ClaudeBot
• PerplexityBot

According to TechnologyChecker.io, which analyzed Q1 2026 web traffic statistics from Cloudflare Radar’s global network, “AI crawlers now make up 22% of all bot traffic”. The core message is clear: technical audits now need to account for how these AI-driven crawlers access, interpret, and prioritize your content.  

The Traditional Technical SEO Audit

A technical audit uncovers issues on the website that may be limiting its performance in search results. Screaming Frog or SEMrush are common tools that help identify optimization opportunities and improve your rankings and visibility. A comprehensive audit usually covers: 

• Meta title
• Meta description
• Heading structure
• Duplicate content
• Broken links
• Redirects
• Schema markup
• Image optimization
• XML sitemap

In addition, Google Search Console provides valuable insights into how your website is performing, highlighting indexing issues, search visibility, and potential technical errors.

Your Technical SEO Audit Needs An Upgrade

While traditional technical SEO audits still play an important role, they no longer tell the whole story. The growing influence of AI crawlers is introducing new considerations that require a more modern approach. These are new elements to take into consideration when you evaluate your website.

AI Crawlers Can Access Your robot.txt File

Your robot.txt file is a set of instructions that tells bots what they can and/or can’t access on your website. If you don’t define specific rules for AI crawlers, you’re effectively allowing them to crawl your site by default, whether you intend to or not. 

It’s also important to recognize that not all AI crawlers serve the same purpose; in fact, they fall into three categories:

• Training crawlers (the vast majority)
• Search crawlers
• User-triggered agents

Each type of crawler has a different function: some AI crawlers can drive visibility and referral traffic back to your website. In contrast, other AI crawlers extract data without offering anything in return. Therefore, your approach to allowing or blocking them should be intentional.

JavaScript Rendering

Unlike Googlebot, which can render JavaScript, most AI crawlers only read raw HTML, which means any content loaded via JavaScript may be invisible to them. If that content is loaded client-side (after the page loads), it’s effectively invisible to them.

Schema Markup For AI

Structured data is not new in an audit, but it is also evolving. Now, you have to make sure that structured data helps AI understand your content. The focus should go beyond the basic schema using:

• Organization
• Article
• Product
• FAQ
• HowTo
• Person

Ensure your structured data is complete, accurate, and meaningful so the content is clear and machine-readable.

Image source: https://www.semrush.com/blog/schema-markup-for-company-corporations/ 

Image source: https://www.semrush.com/blog/schema-markup-for-company-corporations/ 

The Importance of Semantic HTML

Instead of relying on visual design like humans do, AI systems use the accessibility tree, a simplified version of your site that focuses only on structure and meaning and doesn’t include design, colours, layouts, or animations. The representation contains:

• Headings
• Links
• Buttons
• Forms
• Content structure

Screen readers have been using the accessibility tree for years, and now AI systems do too because it is faster and easier to understand. In conclusion, if screen-readers can read your website, AI agents are also able to read, extract, and use your content. If not, fix and clean your semantic HTML by looking:

• Proper heading structures
• Meaningful elements (<nav>, <section>)
• Make sure every form has labels
• Use <button> and <a> tags for clickable elements

Five Signals That Drive AI Search Visibility

1. One of the signals is llms.txt, which, according to SEMRush, is “a proposed standard meant to help large language models (LLMs) better understand and use content from websites”. Essentially, it is a quick guide that helps AI crawlers understand your website’s structure and content.
2. Do you know which AI crawlers visit your website? To accurately monitor AI crawler activity, we use a combination of Ahrefs, GA4, and our own analytics dashboard to gather insights from multiple data sources, not just one platform. By tracking visits from crawlers associated with Google, ChatGPT, Claude, and other AI systems, we can better understand how AI platforms interact with your site and refine SEO strategies based on more reliable, comprehensive data.
3. For AI agents to understand your website, you have clearly outlined all of your business details using markup language. AI systems need to recognize you as a trustworthy identity to choose you over your competitors.
4. Content is the king, but where you place it on your website is crucial for AI agents. According to Search Engine Journal: “Put your most citable claims and data in the first 30% of the page – no matter what industry you’re in. Summaries and conclusions rarely get cited.” 
   The takeaway is simple: put key facts, claims, and data early on so AI and your readers see them right away.
5. Furthermore, AI systems such as ChatGPT and Perplexity often generate short, condensed answers by pulling the clearest information from a page. Adding a quick summary at the beginning of your content helps AI tools immediately understand the topic and key takeaway. If your explanations are vague or overly broad, they’re less likely to be used. Writing with clear, specific points increases the chances that AI systems will extract, reference, and cite your content in their responses.

How Jelly Marketing Helps You Stay Ahead

It is not about replacing your technical SEO audit, but expanding it; these factors might not influence your rankings, but they play a growing role in how AI systems interpret content. Now that the audience is different (not only human), the advantage also goes to websites with strong technical foundations that make content easy for machines to read and trust.

At Jelly Marketing, we can help strengthen your technical foundation and ensure your website is built for both search engines and AI-driven discovery. Give us a call or send us a message today.