Revive old content to win in AI search | MarTech

"Structure your site using a hub-and-spoke model. For each primary category or keyword theme, build a comprehensive hub page that introduces the broader topic and links out to supporting spoke pages that dive deeper into specific facets. Each spoke page should focus on one apparent angle and develop it thoroughly enough to establish a distinct purpose and query intent."

"Keep passages semantically tight and self-contained. Use one idea per section and keep each passage tightly focused on a single concept. Don't rely on using the whole page for context. Each chunk should be independently understandable."

"Summarize complex ideas clearly, then expand with a clearly structured 'Summary' or 'Key takeaways'. Start answers with a direct, concise sentence."

Brands with established content libraries can enhance AI search engine optimization (AEO) performance by reformatting existing material. Three core principles guide this process: optimizing for topical breadth and depth through hub-and-spoke site architecture, where comprehensive hub pages link to focused spoke pages covering specific angles; ensuring semantic clarity by keeping passages self-contained and independently understandable with one idea per section; and optimizing for answer synthesis by presenting complex ideas clearly with direct, concise opening statements followed by structured summaries. This approach expands topical reach, provides clearer signals to AI systems about content relationships, and improves the likelihood of content appearing in AI-generated answers.

Read at MarTech