{"id":1553624,"date":"2025-06-09T06:13:13","date_gmt":"2025-06-09T10:13:13","guid":{"rendered":"https:\/\/www.practicalecommerce.com\/?p=1553624"},"modified":"2025-06-09T08:15:33","modified_gmt":"2025-06-09T12:15:33","slug":"seo-for-googles-ai-fan-out-results","status":"publish","type":"post","link":"https:\/\/www.practicalecommerce.com\/seo-for-googles-ai-fan-out-results","title":{"rendered":"SEO for Google’s AI Fan-Out Results"},"content":{"rendered":"

Google introduced “fan-out” search results in a March 2025 blog post<\/a> announcing AI Mode, its expanded version of AI Overviews. The term is new, but the concept is not.<\/p>\n

Google’s algorithm has long moved beyond merely matching keywords. It now interprets what searchers are looking for. This intent-based approach is also known as thematic or semantic search.<\/p>\n

Similarly, AI Mode “fans out” beyond searchers’ initial queries to address likely follow-ups. A single AI Mode response could include what once required multiple searches. Google’s March post included an example of a searcher seeking the best smartwatch for sleep tracking. An AI Mode answer could fan out to address related topics, such as explaining sleeping heart rates.<\/p>\n

Yet keyword research remains essential. The words and phrases of prospects reveal their needs and shopping journeys.<\/p>\n

And optimizing those keywords is crucial for citations and sources in AI Overviews<\/a>. One tactic is to use Gemini, Google’s AI chatbot that powers Overviews and AI Mode<\/a>.<\/p>\n

Here’s how.<\/p>\n

Use Gemini<\/h3>\n

First, generate keywords.<\/p>\n