AI Stress Test of Your Website – 10 critical elements blocking results in 2026

In generative models, high-quality content is not enough. What happens outside the website is also important. AI searches the web for signals confirming a brand’s credibility.

These could be mentions on industry portals or high-authority sites, brand accounts on social media, or expert profiles on LinkedIn. If such signals are missing, the brand will not be cited, meaning users won’t encounter it during their research stage.

Google handles this much better now, but AI tools still don’t necessarily do so. We are talking about content loaded on the page using JS. LLM models only see the raw HTML code of the page, so if you load part of your content dynamically via JS, the model won’t see it. If you use such solutions, it is best to transform them so that the most critical text fragments are visible in the HTML code.

Content freshness is vital for AI tools. All models are programmed to give the user the best, most reliable, and probable answer possible. Therefore, any signals indicating that the content is current work in your favor regarding AI citability.

What to do so models don’t consider your content outdated?

• Review older articles and update them with new information.
• Add, for example, one header and paragraph “Update on topic X in 2026”.
• Revise the article introductions and include refreshed information and data directly there.
• After such an update, also change the publication date to the current one, or the “last updated” date if you have that option.

Many companies have abandoned content created by copywriters in favor of content generated en masse by AI tools. This applies especially to product and category descriptions, which are quite schematic. Does the problem lie in the AI support itself? No. Usually, these texts simply lack the so-called “human touch”—human verification of content, language correction, or adding at least a few sentences.

Generative models are excellent at detecting which content is shallow, not exhaustive, and generated with the help of artificial intelligence. Therefore, AI tools reward the uniqueness of descriptions, not copying content from the manufacturer or generating it in bulk.

Keyword stuffing, i.e., artificially stuffing keywords into texts, was a common practice 10 years ago. Just as it sometimes worked back then, now—absolutely not, both regarding Google and AI models. Despite this, for many people, SEO has become synonymous with inserting keywords, preferably in an uninflected form, wherever possible. Now, in both SEO and AISO, this can hurt more than it helps.

AI models require reliable, substantive content that presents the topic comprehensively. This is much more important than the number of keywords, so when creating content, focus on answering users’ questions about a given topic. This will increase your chance of being cited.

Users don’t like to wait. AI models feel the same. If your site loads too slowly or you have poor Core Web Vitals, it is very possible that AI will give up on downloading information from your site. How to check if you have a problem in this area? Use this tool: https://cruxvis.withgoogle.com/, which will show you what CWV looks like on your site.

If your site lacks a straightforward menu that connects all the most important pages, and some landing pages are unavailable via internal linking (orphan pages), both users and the AI model may not find the needed information. From a UX and AISO perspective, it is worth considering whether your site’s navigation is intuitive and whether the most important pages are easily accessible.

In generative models, high-quality content is not enough. What happens outside the website is also important. AI searches the web for signals confirming a brand’s credibility.

These could be mentions on industry portals or high-authority sites, brand accounts on social media, or expert profiles on LinkedIn. If such signals are missing, the brand will not be cited, meaning users won’t encounter it during their research stage.

If you don’t enrich your articles with photos or graphics branded with your logo, you’re missing out on potential citations! Both LLM models and AI Overviews willingly show different graphics. After all, it is often a faster and more convenient way for the user to absorb information. Therefore, create your infographics and add them to the site’s content.

LLM models love summaries! Their answers very often include bulleted key findings, so when looking for information sources, they willingly pay attention to this format.

All these points gathered together as a verification checklist are a tool, thanks to which you can:

• Quickly diagnose why the current strategy isn’t working and why visibility in AI is missing,
• Enter 2026 with an advantage over your competition,
• Create an AISO/SEO/UX roadmap without guessing, based on the real problems of your site,
• Convince the CFO to invest in specific actions, based on data.

This test will let you verify things that aren’t visible in Google Analytics!

At Delante, we can help you accurately analyze how your brand is visible in AI tools such as Perplexity, ChatGPT, Copilot, or AI Overviews. That is precisely where purchasing decisions will be made in 2026!

If you want to:

• Check if models see your brand at all,
• Understand why conversions on your site aren’t growing,
• Get concrete AISO/SEO/UX recommendations for the next 3 months,
• Know the 10 critical points blocking visibility and sales,

We will prepare an AI Stress Test for your website!

It’s a quick diagnosis of whether your brand is ready for Search in 2026. Contact us, and we will gladly help!

Let us know how many points your site scored. In this case, the more points, the worse it is!

• Lack of brand credibility signals (mentions in industry portals and other sources, actively managed social media profiles).
• Content on the site is generated by JavaScript.
• Outdated content.
• Weak product and category descriptions (copied from manufacturers, mass-generated).
• Content written “for SEO” (keyword stuffing, unnatural, uninflected phrases).
• Slow site performance and poor Core Web Vitals scores.
• Chaos in navigation and site structure.
• Mismatched CTAs on the site.
• Lack of photos and graphics on the site.
• Lack of expert conclusions at the beginning of content.