Website optimization for AI search: what to implement in 2026

Łukasz Grzybowski

Founder, Aspika · QA / SDET · websites and web products

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SEO is not enough. AI assistants and Google AI Overviews need content they can cite. Here is a practical checklist.

Companies increasingly ask not only about Google rankings but visibility in AI assistant answers and AI Overviews. This does not replace SEO. It is an extra layer: content must be clear, structured and easy to cite.

At Aspika we treat this as an extension of technical SEO, not a separate marketing project.

SEO and AI optimization service · Contact

In short: what to check

  • indexing and canonical URLs in Google Search Console,
  • JSON-LD: Organization, Service, FAQ, BreadcrumbList,
  • H1-H2 headings aligned with user intent,
  • FAQ sections with real client questions,
  • llms.txt file describing the company and services,
  • speed and Core Web Vitals.

1. SEO fundamentals still apply

Without correct indexing, sitemap and hreflang it is hard to talk about visibility in any channel. Search Console is the starting point: indexing report, errors, Core Web Vitals and international report.

Every important page should have a unique title, description and canonical. On multilingual projects we add PL/EN hreflang pairs.

2. Structured data for crawlers and AI

Schema.org helps crawlers understand what the company does, which services it offers and how pages relate. Worth implementing:

  • Organization and WebSite on the home page,
  • Service on service landing pages,
  • FAQPage where FAQ is visible on the page,
  • BreadcrumbList on pages with breadcrumb navigation.

Data must reflect real content. Fake FAQ or non-existent services are a risk, not a shortcut.

3. Semantic content, not keyword stuffing

Algorithms understand topic context better than single phrases. Instead of repeating "business website" in every sentence, use related terms: company site, B2B web presence, contact form, CRM integration.

Each service page should answer a specific client question. That is why at Aspika we split the offer into dedicated landings: business websites, integrations, SEO and AI optimization.

4. The llms.txt file

llms.txt is a text description of the site for AI crawlers. It contains a short company description, service list with links and contact. We place it in the root: https://aspika.pl/llms.txt.

It does not replace robots.txt or sitemap. It adds business context in one place.

5. Monitoring after launch

After publishing changes:

  1. Resubmit the updated sitemap in Search Console.
  2. Check the structured data report for errors.
  3. Monitor queries and CTR in the performance report.
  4. Test Core Web Vitals after major code or content changes.

When to commission an audit?

If the site works but does not generate search inquiries, start with a technical audit. Compare with our technical audit checklist and set priorities.

Need an audit or optimization for Google and AI? Contact Aspika.

Frequently asked questions

How is AI optimization different from classic SEO?
SEO focuses on Google rankings. AI optimization also structures content so assistants and AI Overviews can cite it correctly. It requires schema, FAQ and clear heading structure.
Do I need a separate site for AI?
Not always. Often improving the existing site is enough: meta tags, JSON-LD, FAQ and Search Console monitoring. Scope is set after an audit.
What is an llms.txt file?
A short text file in the site root. It describes the company, services and links in a format readable by AI crawlers. It complements classic SEO, it does not replace it.
Does Aspika implement AI optimization in projects?
Yes. We implement schema.org, FAQ, sitemap, hreflang and GSC monitoring. See our SEO and AI optimization service or ask for an audit of your existing site.

Have a similar topic in your project?

Send a short description. We will suggest next steps.

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Aspika is Łukasz Grzybowski's studio. Websites and web products with an engineering approach to quality.

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