{"id":20,"date":"2026-08-13T14:53:09","date_gmt":"2026-08-13T14:53:09","guid":{"rendered":"https:\/\/austins.website\/blog\/how-to-rank-in-ai-overviews\/"},"modified":"2026-08-13T14:53:09","modified_gmt":"2026-08-13T14:53:09","slug":"how-to-rank-in-ai-overviews","status":"publish","type":"post","link":"https:\/\/austins.website\/blog\/how-to-rank-in-ai-overviews\/","title":{"rendered":"How to Rank in Google’s AI Overviews"},"content":{"rendered":"

Ranking in Google is no longer only about earning the first organic position. As a GEO consultant<\/a>, I also look at whether brands are becoming sources Google’s AI systems retrieve and reference when constructing answers.<\/p>\n

Google AI Overviews can synthesize information from multiple pages into a response displayed directly in the search results. AI Mode takes that model further by letting users ask complex questions, compare options, and continue researching through follow-up questions.<\/p>\n

That changes what SEO success can look like.<\/p>\n

You still want organic rankings, traffic, leads, and revenue. But there is another layer to search visibility now: becoming one of the sources Google’s AI systems retrieve and reference when constructing an answer.<\/p>\n

The good news is that there isn’t a secret technical trick required to rank in Google AI Overviews.<\/p>\n

Google explicitly says the SEO fundamentals that apply to traditional Search continue to apply to its generative AI features. A page must be indexed and eligible to appear in Google Search with a snippet, but Google does not require a special AI file, new schema type, or separate set of technical requirements. Google’s official documentation for AI features and your website<\/a> provides the current technical guidance for appearing in AI Overviews and AI Mode.<\/p>\n

The harder part is creating content that is useful enough, specific enough, and easy enough to retrieve for the questions surrounding a topic.<\/p>\n

Here’s how to approach it.<\/p>\n

1. Start With Search Intent, Then Expand Into Sub-Queries<\/h2>\n

Traditional keyword research often starts with a primary query.<\/p>\n

AI search requires you to think one step further.<\/p>\n

Google says Google AI Overviews and AI Mode can use a process called query fan-out. Instead of relying only on the original search, Google’s systems can issue multiple related searches across subtopics and data sources while building a response.<\/p>\n

That means a query such as:<\/p>\n

“What is the best CRM for a small law firm?”<\/strong><\/p>\n

could involve related sub-queries concerning:<\/p>\n