AI SEO 2026: How Google and ChatGPT Understand Your Website

Tanel Kaarel Sepp

Reading time 7 min

MarketingWebsite

Nearly every business owner I talk to wants to be visible on Google. People are now increasingly searching through Google AI, ChatGPT, Perplexity, and other AI tools too. Traditional SEO is not dead. Useful information, a technically sound website, clear structure, and real experience have become even more important.

TL;DR: AI SEO is not a new secret optimization trick. Google and AI-powered search are getting better at understanding meaning and context, but the fundamentals of SEO have not disappeared. Build a technically sound website, write for people, show real experience, and publish something genuinely useful.

What is AI SEO or vector search?

The simplified old SEO model went something like this: choose a keyword, use it in the copy, build links, and hope Google puts you at the top. Keywords and links have not disappeared, but search has not been limited to exact word matching for a long time. Google and AI-powered search systems are getting better at understanding meaning, context, and relationships between concepts.

How does vector search work?

A vector is, in simple terms, a numerical representation that helps a system compare the meaning of words, questions, and text. If a person's question and your page are really about the same thing, the system may recognize the connection even when the exact words do not match.

For example, an article called “Best tips for building a great website” could still be relevant to someone asking “how do I make my website sell more?”, even if that exact sentence never appears in the article.

That is a useful mental model, but reality is more complicated. Google and AI search systems do not work only with vectors. They may combine semantic and vector retrieval, normal web search, keywords, ranking algorithms, and RAG, which brings retrieved information into a generated answer. Google's AI search features also build on existing Search ranking and quality systems and use query fan-out, where one question can trigger several related searches behind the scenes.

Why does this matter?

Keyword stuffing and buying random links are not a good SEO strategy.
Your content needs to answer a real question, not merely contain the right phrase.
Clear website structure helps both people and search engines understand what a page is about.
First-hand experience, original examples, and a credible author give systems a reason to use your content.

If you landed here and still have no clue what SEO actually means, start with my article explaining SEO. For the more practical technical work, read the website SEO guide.

Your own voice matters even more now

This was one of the main points in the original article too: write it yourself and speak the way you actually speak. Do not copy the tenth agency article and run it through a thesaurus.

If your article says exactly the same thing as ten competing articles, Google or an AI search system has very little reason to choose you as the useful source. Your own opinion, first-hand experience, specific examples, numbers, mistakes, comparisons, and case studies add value that cannot be scraped together from generic copy.

That does not mean every sentence needs to be revolutionary. You just need to bring something of your own. Google's own guidance for AI search puts real emphasis on unique, useful content based on first-hand experience. Which, in the end, is pretty logical.

What should you actually do? Practical steps

Write about the topic, not just the keyword. Cover it well enough that a person gets a useful answer. A keyword can keep you focused, but do not build the whole page around repeating one phrase.
Bring something of your own. Use your opinion, real questions, examples, results, and mistakes. Write like a person, not a robot.
Show who you are. Include a real author name, experience, company and team information, and clear contact details. Authority is not a magical score. It comes from verifiable signs that there is a real person and real work behind the copy.
Make the website technically discoverable. Google needs to be able to crawl and index the page. Check robots.txt, canonicals, the sitemap, mobile usability, performance, and whether the important content is actually present on the page. If you want public content to be discoverable and citable in ChatGPT Search, do not block OAI-SearchBot. Also check Cloudflare or other CDN, firewall, and bot-protection rules. Access does not guarantee a citation or ranking.
Use a logical structure and internal links. Clear H1 and H2 headings, understandable navigation, and descriptive internal links help people find information. The same structure helps search systems understand how pages relate to each other. A summary or direct answer near the beginning is useful for the reader. It is not a secret AI chunking trick.
Use structured data where it genuinely makes sense. Schema.org markup is good SEO hygiene. It can help Google understand explicit information and make a page eligible for relevant rich results. Google does not require special structured data for AI Overviews or AI Mode. There is no “AI schema”, and adding schema does not make ChatGPT recommend your company.
Keep the facts correct. When a price, service, person, or topic changes, fix the outdated information. Changing the date every month just to make a page look fresh does not add value.
Answer real customer questions. Listen to sales calls, emails, and recurring objections. Answer what people genuinely want to know, not what marketing wishes it could tell them.
Use real examples and case studies. Show the process, decisions, and results. Link to credible external sources when it helps. Your own analysis is better than five paragraphs of generic advice.
Check how people and systems find you. Look at Google Search Console and test what ChatGPT, Perplexity, or Gemini can find about you and your competitors. One test is not a ranking report because answers can change. Look for gaps instead: is the important page indexed, are your company name and services clear, and can your claims be verified online?

All of this works better when the website offers a good page experience: fast loading, proper mobile usability, understandable navigation, and logical information architecture. Google does not need to decide that your design is “beautiful” for a poor experience to become a problem. Professional design mainly affects whether a real person trusts you and contacts you after arriving. You can see our approach on the website design service page.

What do you NOT need to do for AI SEO?

You do not need to invent a separate GEO or AEO strategy for Google's AI search features just because somebody is selling one. There is no need to rewrite every page specifically for an LLM, create hundreds of pages for every possible prompt, hit a magical word count, or split everything into tiny “AI chunks”.

There is also no special AI schema markup. llms.txt may be useful for other systems, but Google currently says it neither helps nor harms visibility in Google Search.

Do the boring fundamentals exceptionally well before chasing AI SEO hacks. There is usually much more to gain there.

Summary

The more honestly and clearly you explain something to a normal person, the more useful your website is in the age of AI search too. The site needs to be technically discoverable, logically organized, and written for real people. When the topic changes, keep the facts correct.

Vector search is a useful way to understand why meaning and context matter, but it is not a separate SEO discipline and does not replace normal search. The best strategy is still to build a genuinely good website and say something worth reading.

Want to know if your site needs work? Book a free consultation with the Give team.