There is a temptation to treat AI search as a completely separate discipline. In practice, that can make content teams overcomplicate the job. A better approach is to improve the qualities that make a page useful to both people and search systems.

Start with the reader, not the acronym

Whether a person reaches your page through Google Search, an AI answer or a social post, they still want the same things: a clear answer, trustworthy information and an easy next step.

Make the answer easy to extract

Use descriptive headings and short sections. Put the direct answer near the beginning of a section, then explain the reasoning. Use lists where a list genuinely improves comprehension. Avoid filling paragraphs with variations of the same keyword.

Add information that comes from doing the work

Generic summaries are easy to produce. Your advantage is the experience behind the content. Add campaign observations, screenshots, examples, process notes, original data or a clear explanation of what happened when you tested an approach.

Build topic depth instead of publishing isolated posts

Create a pillar guide and connect supporting articles around it. For example, an ecommerce SEO guide could link to technical SEO, category-page optimization, product schema, internal linking and conversion measurement articles. This gives readers a path instead of a collection of disconnected posts.

Do not chase every new AI acronym

Google's current guidance emphasizes that established SEO best practices remain relevant for its generative AI features. That makes the sensible strategy straightforward: create original, helpful content, keep technical SEO healthy and improve the experience for the person reading the page.

Quick test: If you removed your target keywords from the draft, would the article still teach the reader something useful? If the answer is no, the content needs more substance.