Technical SEO in the AI era by Zbyněk Fridrich: Why the guts of the web matter more than ever

12 minutes

A couple of years ago, we solved how to please the algorithm that searches for keywords. Today, we're facing something completely different. Senior SEO consultant Zbyněk Fridrich came from the experience of the super successful implementation of the website for the coworking space Worklounge together with solidpixels and put together tips on how to use the website to challenge AI search.

If you throw technical stones at AI models, you will simply cease to exist for the next generation of users. Let's pour ourselves a glass of wine: technical SEO is the cornerstone of GEO (Generative Engine Optimization) today.

The new rules of the game: from search to answers

Features of

Traditional SEO

AI SEO / GEO

Target

Position in the Top 10

Be a cited source in the answer

Key factor

Keyword optimization and backlinks

Context, authority and data structure

Web traffic

Classic crawler

AI agent/scraper/API

Structure of

HTML hierarchy

Semantic Knowledge Graph

Portrét SEO  a GEO speciality Zbyňka Fridricha s počítačem

3 technical pillars for the era of big language models

In order for the AI model to choose your content, it must have a data path cleared of ballast. Here are the areas where the bread is breaking today:

1. Semantic Architecture and Schema.org

AI models are smart, but they love it when you give them hints. Structured data (Schema.org) is a "translator" for AI, so they don't have to guess what the price is, what the review is, and what your store address is. Properly deployed technical SEO analysis will reveal where you have gaps in semantics and which entities need to be linked.

  • Connect the entities: if AI understands the relationship between the author, their expertise and your brand through schema, your credibility in the answers grows.

  • Structure over text: AI prefers data that is clearly defined in code, rather than complex inference from paragraphs of text.

2. Speed and Core Web Vitals: it's about efficiency, not just scores

In the AI era, speed is not just about user patience. It's about crawl budget. AI agents have limited time to "read" your site.

  • Lightning-fast response: If a site is slow to respond or has an unstable layout (Core Web Vitals), the AI agent may evaluate it as unreliable or too expensive to process and prefer to move on to a competitor.

  • Clean code: the less ballast the AI agent has to crunch, the more accurately it can interpret your content.

3. Caching and Availability.

AI systems query data 24/7. If your site doesn't respond at a key moment or its response is erratic, you're out of the loop.

  • Static serving: make the most of cached content. Platforms with custom edge infrastructure (e.g. solidpixels) address this architecturally and minimize server load.

  • Edge Computing: keep data close to the bots. AI models are often queried from global datacenters, so lightning availability around the world is a must.

In the AI era, speed isn't just about user patience - it's about the utilization budget each agent has.

Example from practice

When your business consists of renting space in one of the biggest coworking spaces in Prague, you need to be seen at the exact moment when an overworked freelancer asks ChatGPT or Claude where he or she can find somewhere quiet to work. During Worklounge's transition to the new site at solidpixels, the technical team worked with all the aforementioned pillars. They sorted out proper redirects, load speed optimization, semantic structure and caching. The result is a site that loads in 0.8 seconds, excels in search results and populates new Worklounge branches in a matter of days. If your website is not effectively converting visitors into clients, web consultation can help you find a solution.

Action Plan: how to prepare your website for AI in 5 steps

If you want AI to take you seriously, I recommend this approach:

  1. Audit the semantics: deploy rich structured data (Schema.org) for all key entities.

  2. Green numbers in Core Web Vitals: don't just address metrics, address fluency. The web needs to be easy for bots to digest.

  3. Optimize for AI agents: enable access in robots.txt for bots like GPTBot or Claude-Bot. If you block them, you don't exist for AI.

  4. Logical linking: internal links must form a topic map. AI follows context, not random links.

  5. Quote monitoring: watch how the AI talks about you. If it makes mistakes, look for the problem in the technical obscurity of the site.

If you're not sure if your site meets these requirements, an AI audit focused on GEO will quickly show you where the weak spots are.

From technical audit to WebTop100 victory

This is exactly the approach that worked for the WorkLounge project. The structured data and semantic architecture of the site was set up so that AI models could understand exactly what WorkLounge offers: from 24/7 access for members to descriptions of quiet zones and phone booths to differences in member benefits. Technical errors uncovered by the audit were fixed, internal linking was adjusted, and ongoing monitoring of how the AI talks about the brand was launched. The result? AI brand sentiment increased from 67 to 82 points, visibility in AI Overview doubled from 17% to 34%, and organic traffic grew consistently upwards. Worklounge's business success was confirmed by winning first place in the SEO category of the WebTop100 competition.

Web coworkingových prostor Worklounge

Conclusion: the future belongs to the prepared

Technical SEO is no longer about "taming the search engine". It's about making your website an understandable and trustworthy partner for the artificial intelligence that advises your customers today. At solidpixels, you have the advantage that the technical foundation is top-notch. Now it's time to use it to make sure you don't get overlooked in the AI era.


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Frequently Asked Questions

Co je GEO (Generative Engine Optimization)?

GEO is web optimization for large language models and AI search engines (ChatGPT, Perplexity, Claude, Google AI Overviews). The goal is not to rank in the blue links, but to be a cited source in the answer that the AI gives to the user.

Jaký je rozdíl mezi SEO a GEO?

SEO fights for positions in the results list. GEO fights for your content to be part of the synthesized answer. SEO relies heavily on keywords and backlinks, GEO relies on semantic structure, authority, and machine-readable context (Schema.org, Core Web Vitals).

Jak povolit GPTBot a Claude-Bot v robots.txt?

Add explicit permission to robots .txt:

User-agent: GPTBot Allow: / User-agent: ClaudeBot Allow: /

If AI bots are blocked (often the default setting for some CMSs and hosts), you are virtually nonexistent for AI search engines.

Ovlivňuje rychlost webu citace v AI odpovědích?

Yes. AI agents have a limited compute budget to process the web. If your site is slow to respond or has an unstable layout, the agent may evaluate it as unreliable and move on to a competitor. Core Web Vitals are even more important in the AI era than before.

Jak se SEO a GEO řeší v solidpixels?

Solidpixels solves the technical foundation for SEO and GEO architecturally - you have clean semantic code and edge infrastructure with fast caching, you put structured data in important places using block code. AI bots like GPTBot or ClaudeBot are enabled on the platform, so your content is accessible to AI search engines. You yourself then have full control over the content section, where you can edit the headlines, meta description and other key elements that underpin SEO and GEO.

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