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In this article, we show Which SEO principles still apply in the AI eraWhat you should rethink — and how to align your strategy so that your content includes answers like those from ChatGPT with browsing, perplexity, or Gemini Can show up. Terms such as”Search Generative Experience“or”Zero-click search“illustrate that search engines are increasingly acting as answer machines.

1. The new reality: visibility in answers, not in rankings

For a long time, SEO was one thing in particular: a race for first place today, something else counts:

  • AI systems generate direct answers instead of link lists
  • Content that is mentioned has won — the rest remains invisible
  • Today, visibility means: appear in answers, not on search results pages

You can find out more about fundamental change in Part 1 of the series.

2. What is changing — and why keywords are no longer enough

Many classic SEO tactics don't work the way they used to:

  • Questions replace keywords: “What is...”, “How does it work...”, “Why...” (People Also Ask)
  • Context beats density: A well-worded section is more relevant than ten times the correct keyword
  • Technical readability becomes a basic requirement (HTML structure, load time, mobile optimization)
  • Backlinks lose weightwhen content is not formulated in a clear and trustworthy way
  • Entities and semantic markup support classification through AI
AI prefers content with clear context — Aleyda Solis

3. What remains — and even becomes more important

Despite all the changes, there are SEO basics that are more important than ever:

✅ Structure

  • Clear heading hierarchy (H1—H3)
  • Lists, tables, paragraphs with focus
  • Technically correct HTML (see MDN Web Docs)
  • Structured content also helps for Featured Snippets

✅ Context

  • One topic per page (Content hubs are helpful)
  • Strong internal link to information architecture
  • Semantically meaningful embedding of content with appropriate entities (e.g. Webflow, Schema.org, LLMs)

✅ Trust

  • Author clearly identifiable (experience, expertise)
  • Impressum, company profile, context visible (E-E-A-T)
  • External citations or mentions increase relevance

How Perplexity described in a separate post, is the selection of sources increasingly based on Reliability, Clarity, and Relevance — not on popularity or domain strength.

SEO früher SEO in der KI-Ära
Keyword-Dichte Kontext & Verständlichkeit
Top-10-Rankings Erwähnung in KI-Antworten
Backlink-Strategien Vertrauenswürdiger Inhalt & Klarheit
OnPage-Optimierung auf SERP-Snippets Antwortlogik & Fragestruktur
Domain-Autorität Fachliche Relevanz & Quellenklarheit
SEO-Texte für Suchmaschinen Content für Menschen UND Maschinen

4. How to adapt your SEO strategy for the AI era

What you can do specifically:

  • Write for people AND machines: clear, understandable, with statement
  • Answer real questions instead of just describing terms (user-centered content)
  • Use structured data like Schema.orgto provide context to AI systems (e.g. FAQPage)
  • Avoid interface content — Substance wins
  • Work with internal links, explain the connections
  • Strengthen semantic signals with markups, HTML5 elements, and clear navigation

In Part 2 of the series We explain how AI systems actually read and structure content — and what is important in terms of content.

Conclusion: AI is changing SEO — but not the principles of good content

The rules change — but the idea remains the same: Content should be understandable, relevant and structured.

You don't have to “write for AI” — you need to write in such a way that Good Answers Can Arise.
Structure, clarity and context are the new basics.

Read more

→ To Overview of the series
→ Moz: The Future of Search in an AI World

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