Content strategy for AI search engines: four pillars for GEO and AIO

What is GEO/AIO content strategy and how does it differ from classic SEO?

GEO (Generative Engine Optimisation) and AIO (AI Overview Optimisation) are optimisation strategies aimed at being cited by AI search engines such as ChatGPT, Perplexity and Google AI Overviews, not just classic ranking. The core difference: AI engines extract individual passages from articles, not the whole page. If a passage is independently readable and written answer-first, that increases the chance the engine cites that passage for a relevant query. GEO builds on classic SEO and does not replace it. Without indexation in Google and Bing, AI engines cannot reach your page. The extra layer is that every passage functions as a standalone snippet. ChatGPT web search indexes via the Bing network. Google AI Overviews extract passages from crawled web pages. Perplexity combines its own crawl with Bing. All three select passages that directly answer the query, are entity-rich and carry a current dateModified.

Pillar 1: answer-first writing

Answer-first writing means that both the intro and every H2 section opens with a direct, concrete sentence that answers the question. Elaboration follows after. Wrong: 'In this article we discuss how to write AI content.' Right: 'You write AI-friendly content by opening each H2 block with a direct two to three sentence answer, followed by examples and nuance.' AI engines lift the opening sentences of a section when that section is the most relevant match for a query. Content that begins with context or build-up before the answer appears less often in AI citations. Practical test: read only the first sentence of each H2 block. If that sentence fully answers the question, it is right. If not, rewrite the opening.

Pillar 2: self-contained passages of 130 to 170 words

A self-contained passage is a section that is understandable without reading the rest of the article. AI engines extract sections individually, not the whole page. References such as 'as described above' or 'see the previous point' make a passage dependent on context the engine does not include. Guideline: keep each section within 130 to 170 words. Shorter than 130 words typically lacks sufficient depth; longer than 170 words reduces the chance the entire passage will be cited. Start each section with the core message, then add precision (numbers, entities, exceptions) and close with a concrete next step or action. Test your own passages: copy an H2 section on its own and enter it as a question in ChatGPT or Perplexity. Does the engine return your own text as the answer, or something more generic? If not, rewrite.

Pillar 3: entity richness and a current dateModified

Entity richness means naming concrete tools, amounts, laws, roles and places in every passage. 'AI tools are becoming increasingly popular' is not entity-rich. 'ChatGPT Plus ($20 per month indicative), Microsoft 365 Copilot ($30 per user per month indicative) and Gemini in Google Workspace Business Standard (approximately €11.50 per user per month indicative) are the three most widely used business AI assistants for SMEs in 2026' is. AI engines select passages that give a specific answer, not vague descriptions. A current dateModified is equally important: ChatGPT, Perplexity and Google AI Overviews favour more recent pages at equal relevance. Update dateModified in your page metadata and Article schema each time you substantially revise a passage. A revision date more than six months ago is a disadvantage compared to similar competing content with a recent date.

Pillar 4: Article, FAQPage and BreadcrumbList schema

Structured data (schema.org) helps AI engines understand the structure of your content. Add at least three schema types to every article via JSON-LD: Article (author, publication date, dateModified, url), FAQPage (three to six Q&A pairs that AI Overviews can cite directly) and BreadcrumbList (navigation hierarchy). Add HowTo only if your page describes a genuine, ordered step-by-step guide that completes one task. On comparative articles, lists or selection criteria, HowTo is structured-data spam and it undermines the credibility of your schema. Keep all schema in a server-rendered JSON-LD script tag, never inline in HTML. Check your implementation via the Rich Results Test at search.google.com/test/rich-results. See also the article Getting found in ChatGPT and Google AI Overviews for a complete GEO step-by-step approach.

Content strategy in practice: four steps

A GEO/AIO content strategy in practice starts with a gap analysis in four steps. Expect a lag of four to eight weeks after publication or revision before AI citations visibly move.

• List customer questions: note down all questions customers ask you via email, chat and sales calls. Every question is a potential cornerstone article.
• Audit existing content: check per existing article whether it is answer-first and whether each section is independently readable. Rewrite the opening sentence of each H2 if that is not the case.
• Write cornerstone articles: choose the five questions with the highest search volume and most customer questions as the basis for in-depth articles with Article and FAQPage schema.
• Measure weekly: enter your five core questions in ChatGPT (with web search), Perplexity and Google and note whether your domain name or page name is cited. Track this in a spreadsheet per week.