E-commerce
October 1, 2026
Are you wondering how to leverage large language models like Google AI Mode, ChatGPT, or Perplexity to anticipate your customers' questions and enrich your SEO content? The answer is yes, and it is a major opportunity for your online store. These "fan-out" platforms no longer just answer a single query: they anticipate follow-up questions and consolidate all the information into a single response. For a merchant, this means it is possible to position their products and attract new prospects by publishing content that answers these anticipated questions.
However, "fan-out" responses are unpredictable and vary across platforms. Simply publishing a generic FAQ is not enough to get cited. You need to understand how these systems work, which sources they prioritize, and which purchasing journeys they reveal. It is a process of continuous analysis and adaptation, but the gains in visibility and organic traffic can be substantial.
So, how do you turn this complexity into a competitive advantage? On the agenda:
What is "fan-out" in AI search results?
How to position your products against the unpredictable responses of LLMs?
Which sources do AIs cite and how can you integrate them into your strategy?
How to reveal your customers' purchasing journeys through "fan-out" questions?
What checklist should you use to optimize your SEO content with AI?
Let's get started.
Summary
What is "fan-out" in AI search results?
"Fan-out" is a practice announced by Google in March 2025. Large language models like Google AI Mode, ChatGPT, and Perplexity anticipate likely follow-up questions to an initial query. They then provide a combined response that integrates all this information. For example, for a query about the best organic skincare brands, the AI may add sections on brands for sensitive skin, affordable options, or official certifications.
For an e-commerce merchant, this is an opportunity. By understanding "fan-out" angles, you can adapt your content to be cited as a source. Publishing a FAQ section dedicated to anticipated questions is a valid tactic, but it is only the beginning. You need to analyze the responses, identify recurring themes, and create content that addresses them precisely.
The goal is to increase your chances of appearing in these enriched responses. This requires constant monitoring and adaptation of your content strategy. To go further, discover how to optimize your SEO strategy with AI.
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How should you position your products in the face of unpredictable LLM responses?
"Fan-out" responses are unpredictable. Gemini can generate different results for the same query. Yet, each response identifies areas to target. For a query on the best organic skincare brands, Gemini may include popular brands, brands for sensitive skin, affordable options, and unique specialties like plant-based formulas or cruelty-free brands.
By querying the same AI multiple times, you will see recurring angles emerge: official certifications, customer reviews, specific ingredients. Collectively, these angles help you position your products. You can create pages dedicated to each angle, such as a page on your certifications or a page explaining your ingredients.
This approach allows you to cover a wide spectrum of potential questions. To structure your work, consult our guide on e-commerce SEO strategy for category pages.
Which sources do AIs cite, and how can you integrate them into your strategy?
Generative AI platforms vary in their expertise by subject. For example, for a query about the best running shoes, ChatGPT often cites Runner’s World, thanks to its detailed comparisons. Knowing these frequently cited publications can influence your product positioning.
Query multiple platforms like ChatGPT, Perplexity, and Gemini, and note the citations. Third-party tools like Otterly.ai can automate this process. They generate a consolidated report of the "most cited domains" for your tracked queries, showing results from ChatGPT, Perplexity, Microsoft Copilot, and Google AI Overviews.
From this data, you can identify influential publishers and writers. Reach out to them on social media to explore visibility tactics, such as contributing a column or becoming an editorial source. It is a proactive way to improve your link profile and authority.
How to reveal your customers' buying journeys using "fan-out" questions?
Buyers start their journey in different ways. Some search for niche terms, others look for solutions to specific needs. All require unique landing pages and engaging content. Knowing potential "fan-out" questions can refine your customer acquisition.
Start with a Gemini query, for example: "What fan-out queries does Gemini or AI Mode use for 'best organic skincare brands to try'?" In my testing, Gemini responded with options like: what are the benefits of organic skincare, what is the difference between 'natural' and 'organic', what common ingredients to avoid.
By answering these questions on your site, you can attract new prospects, especially those who do not yet know the organic option. It is a content strategy that targets emerging search intents. To structure your pages, consider an e-commerce internal linking strategy for SEO.
Why target "fan-out" questions to attract new prospects?
Targeting "fan-out" questions allows you to attract prospects who are not directly looking for your products. For example, a person wondering "what is paraben?" is not necessarily looking for an organic skincare brand. But if you answer this question on your site, you can convert them into a potential customer.
These questions reveal consumer concerns and doubts. By answering them, you establish your expertise and authority in your field. You create a bridge between an informative question and your commercial offer.
It is a content approach that goes beyond a simple product page. It allows you to cover the entire buying journey, from awareness to decision. To identify common objections, see our article on pre-purchase questions in e-commerce.
How to use "fan-out" questions to enrich your category pages?
"Fan-out" questions can enrich your category pages. Instead of simply listing your products, you can integrate sections that answer questions anticipated by AI. For example, for an organic skincare category, add a section on the differences between "natural" and "organic".
This improves the user experience by providing useful information directly on the page. It also increases your chances of being cited in AI "fan-out" answers. Search engines value comprehensive and informative content.
Remember to structure your category pages with clear sub-sections and relevant headings. Use bullet points for key points. For a more detailed approach, read our guide on SEO strategy for category pages.
What role does internal search play in anticipating customer questions?
Your site's internal search is a goldmine for anticipating customer questions. The terms your visitors type into your search bar reveal their actual intent. By analyzing this data, you can identify the "fan-out" questions relevant to your business.
For example, if many visitors search for "paraben-free cream", that's a signal. You can create content that addresses this specific concern. This allows you to align your SEO content with the real expectations of your audience.
This is a "searchandising" approach that involves using customers' words to optimize your content. To find out more, read our article on e-commerce searchandising.
How can FAQs improve your chances of being cited by AI?
FAQs are a classic tactic for targeting "fan-out" questions. By publishing a dedicated FAQ section for anticipated questions, you increase your chances of being cited as a source. AIs appreciate content that directly and clearly answers questions.
However, a generic FAQ is not enough. It must be based on a real analysis of the "fan-out" questions in your industry. Use AI tools to identify these questions, then create detailed and helpful answers.
Structure your FAQ with clear questions and concise answers. Use structured data format to help search engines understand your content. To choose the right format, compare the FAQ, search, or AI chatbot.
What tools should be used to analyze AI citations?
Analyzing AI citations is essential for refining your strategy. Third-party tools like Otterly.ai can help you. They run your tracked queries and generate consolidated reports of the "most cited domains."
These reports show results from ChatGPT, Perplexity, Microsoft Copilot, and Google AI Overviews. They reveal citation overlaps, which are sources that appear on multiple platforms. These overlaps are key opportunities for your content strategy.
By identifying these sources, you can target your PR and content creation efforts. You can also analyze the backlinks of these sources to improve your own link profile. For a comprehensive approach, see our selection of tools to analyze backlinks.
How to integrate "fan-out" questions into your content process?
Integrating "fan-out" questions into your content process requires a structured approach. Start by identifying the main queries in your industry. Then, query multiple AIs to discover the associated "fan-out" questions.
Note recurring themes and specific angles. Next, create an editorial calendar that integrates these questions. Each question can become a blog post, a section of a category page, or a FAQ entry.
Use ChatGPT prompts to speed up the process. For example, ask the AI to generate variations of "fan-out" questions for a given query. For concrete examples, check out our article on 29 ChatGPT prompts to optimize your SEO.
How does Qstomy help anticipate customer questions and enrich your content?
Qstomy, the Shopify AI agent, helps you anticipate customer questions by analyzing interactions in real time. It guides your visitors toward purchase through personalized recommendations, upsell and cross-sell suggestions, and optimized cart management. By understanding your customers' questions, Qstomy helps you identify gaps in your content.
The agent also tracks packages and manages after-sales service, freeing up your time to focus on your content strategy. The data collected by Qstomy reveals your customers' recurring concerns. You can then transform them into relevant SEO content, such as blog posts or FAQ sections.
It is a synergy between conversational AI and your content strategy. To see how Qstomy can help you manage special offers, check out our article on the AI chatbot for gift with purchase.
What checklist should you use to optimize your SEO content with fan-out AI?
Here is a checklist to integrate "fan-out" tactics into your SEO strategy.
In brief
Analyze the "fan-out" responses of several AIs for your main queries.
Identify the most cited sources and recurring angles.
Create content that answers anticipated questions.
Integrate these questions into your category pages and FAQs.
Use data from your internal search and Qstomy.
FAQ
What is the difference between "natural" and "organic"? Explain the differences to attract prospects looking for "natural" products.
What ingredients should be avoided for sensitive skin? Answer this question to capture skin-conscious individuals.
How to check organic certifications? Detail the certifications to reassure demanding customers.
Enzo
October 1, 2026
