AI SEO

AI SEO covers how search visibility works when answers are increasingly assembled by large language models instead of presented as a list of links. It spans Google's AI-generated summaries in search results, chatbot assistants that cite web sources, and a growing vocabulary that includes answer engine optimization (AEO) and generative engine optimization (GEO). It also includes the debate over whether any of it differs from traditional SEO.

Why it matters now

AI-generated answers now appear on a wide range of queries, including searches for brand names. This changes how clicks, traffic, and attribution reach websites. Search engines also keep tightening spam policies aimed at mass-produced, low-value AI content, which raises the stakes for publishers experimenting with automation. Marketers and publishers are rethinking strategy around three questions: who gets cited, who gets paid, and how much traditional ranking logic carries over into AI answers.

What you'll find here

This hub tracks developments such as:

• Search engine guidance and policy: official statements on AI content, spam updates, and proposed standards like llms.txt.
• AI answers and citations: research into how chatbots and AI summaries choose sources, and how those choices relate to conventional rankings.
• Publisher economics: licensing arrangements, compensation models, and the effect of zero-click answers on traffic.
• Tools and tactics: the expanding market of AEO and GEO platforms, and approaches that hold up under scrutiny.
• Measurement: how to track visibility when the result is a generated answer, not a ranked page.

Follow along here if you manage a website, run marketing, or build content strategy and want to know how AI is changing what it takes to be found online.