In March 2025, Google announced a revolutionary update in a blog post: the introduction of **fan-out search results** as part of its **AI Mode**. While the term may be new, its underlying concept is built on a foundation we’ve been witnessing in search for years.
Google’s algorithms have evolved beyond merely correlating keywords; they now strive to comprehend the **intent** behind user queries. This evolution is known as **semantic** or **thematic search**, where the focus shifts from static keyword matching to understanding the broader context of what searchers truly desire.
With AI Mode, Google takes this a step further by **“fanning out”** from an initial query to preemptively address follow-up questions. For example, if a user searches for the **best smartwatch for sleep tracking**, the AI Mode response could delve deeper into related subjects, such as an explanation of **sleeping heart rates**. This seamless integration of information is not just a convenience; it’s a paradigm shift in how users engage with search results.
However, the importance of **keyword research** remains non-negotiable. Despite AI advancements, the specific words and phrases your prospective customers use reveal invaluable insights into their **needs and journeys**. Therefore, mastering the art of keyword optimization is crucial, particularly for ensuring citations and sources are well-represented in AI Overviews. One effective strategy involves harnessing the capabilities of **Gemini**, Google’s AI chatbot that powers both Overviews and AI Mode. Here’s how to leverage this tool for maximal impact.
Unlocking the Power of Gemini
Step 1: Generate Keywords
To kickstart your SEO journey, let’s generate some relevant keywords:
- Navigate to your **Search Console** and explore the “Performance” tab before selecting “Queries.” Filter by URL to narrow the report down for specific content. Finally, download your report as a **CSV file**.
With your keywords in hand, upload the file to Gemini and utilize the following prompt:
Here’s my target keyword list. What are the fan-out subqueries or facets related to these topics?
For instance, I uploaded a CSV of around 500 keywords revolving around “**website maintenance costs**.” The response I received from Gemini was enlightening. Here’s the breakdown (emphasis added):
Primary Topic: Website Maintenance and Running Costs
Core Query Theme: “How much does it cost to maintain/run a website?”
Fan-out Subqueries/Facets:
- Cost Breakdown & Components:
- “What are the typical recurring costs for a website?”
- “How much does website hosting cost per month/year?”
- “What is the average cost of a domain name?”
- “How much should I budget for website security (SSL, firewalls)?”
- “What are the costs associated with website content updates or management?”
- “What is the cost of website development or new feature implementation?”
- “Are there hidden costs of website ownership?”
- “Cost of plugins, themes, or extensions for platforms like WordPress.”
- Factors Influencing Cost:
- “What factors increase or decrease website maintenance costs?”
- “Does website complexity affect maintenance cost?”
- “How does the type of website (e-commerce, blog, portfolio) impact running costs?”
- “Is a custom-built website more expensive to maintain than a template-based one?”
- “Does the frequency of updates influence maintenance expenses?”
- “What’s the difference in cost between DIY website maintenance and hiring a professional?”
- Importance & Benefits of Maintenance:
- “Why is website maintenance important for security?”
- “How does regular maintenance improve website performance and speed?”
- “What role does website maintenance play in **SEO** (Search Engine Optimization)?”
- “How does maintenance impact user experience and conversions?”
- “What are the risks of not maintaining a website?”
Understanding Gemini’s Logic
To gain the best insights, leverage the “**Show Thinking**” feature within Gemini. This option, available in the 2.5 Pro version, reveals how the AI interprets your core topic.
Consider this demonstration: I prompted Gemini with a query about **buying designer shoes online** and requested the ability to **try them on**. The insights provided were illuminating:
I’m starting my search for online designer shoe retailers with “try before you buy” programs, focusing on options with the **best return policies**.
Here’s how I refined my approach:
- Identifying retailers like **DSW, Nordstrom**, and **Zappos** that excel in customer service and favorable return policies.
- Compiling a comparative analysis of **home try-on** features and trial periods from various services.
Gemini not only expanded my initial query but also generated a detailed comparison chart to help me make informed decisions about where to shop.
Beyond Keywords: Additional Tools for Success
Finally, don’t forget to adapt your content based on your understanding of the niche audience and their behavior. Trustworthy third-party keyword tools can aid you in exploring related queries and problems that drive user engagement. Check out resources such as keyword research tools and question discoverers to broaden your SEO toolkit.
In summary, as you embark on this new era of SEO driven by Google’s AI advancements, remember that **proactive understanding of user intent** is key. Using tools like Gemini to **“fan out”** your approach can yield richer, more informative results that engage users on a deeper level. Get ready to elevate your SEO strategy to new heights!
