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Oct. 10, 2025, 2:15 p.m.
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How to Optimize Content for AI Search Answers: Insights from Microsoft Advertising Blog

The Microsoft Advertising blog recently published a post about how to optimize content for AI Search Answers. I found it unusual that this topic appeared on the Microsoft Advertising blog rather than on the Bing Search blog because (a) it’s an advertising-focused blog, and (b) the author, Krishna Madhavan, is a member of the Bing team, not the ads team. The post, titled "Optimizing Your Content for Inclusion in AI Search Answers, " covers how to structure your content, use schema, avoid common mistakes, writing techniques, and more. The blog explains that a fundamental difference between traditional search and AI search lies in how content is presented in the results. As stated, “In traditional search, visibility meant appearing in a ranked list of links.

In AI search, ranking still happens, but it’s less about ordering entire pages and more about which pieces of content earn a place in the final answer. ” The author also notes, “AI assistants don’t read a page top to bottom like a person would. They break content into smaller, usable pieces — a process called parsing. ” He concludes with several key points: - Traditional SEO remains crucial: ensure crawlability, metadata, and internal linking are solid foundations. - Structure content effectively: use schema, clear headings, and modular layouts. - Write clearly: maintain precision in language, context, and punctuation. - Make answers snippable: employ concise, self-contained phrasing in lists, Q&As, and tables. Once again, what strikes me as odd is that this was posted on the advertising blog.



Brief news summary

The Microsoft Advertising blog featured Krishna Madhavan from the Bing team discussing how to optimize content for AI search answers. Unlike traditional search engines that rank entire web pages, AI search focuses on extracting specific content snippets to provide direct answers. AI assistants prioritize smaller, modular content pieces rather than full documents. To improve visibility in AI search results, the post recommends following standard SEO best practices, such as ensuring website crawlability, accurate metadata, and strong internal linking. It also stresses the use of structured content through schema markup, clear headings, and modular formatting to aid AI extraction. Organizing concise content into snippets like lists, Q&As, and tables further increases the likelihood of inclusion in AI-driven answers. Publishing this advice on an advertising platform instead of Bing’s search blog highlights the growing overlap between AI search optimization and digital advertising strategies.

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