Optimizing FAQ pages for generative engines (rather than just for rich snippets)

FAQ pages are often used to stand a chance of getting rich snippets in search results. In a search landscape where answers from generative engines such as ChatGPT, Google SGE and Gemini are increasingly ranking at the top, the market is changing. The way these search engines select, understand and process FAQ content is very different from how traditional search engines display rich snippets.

From markup to semantics

Previously, optimizing an FAQ was mostly about correctly applying structured data (an FAQPage schema). By doing so, you increased the likelihood of displays in the SERP as expandable answers. That principle remains valid, but is no longer sufficient. In fact, AI systems look at the content quality and completeness of the answer and the semantic relationship between question and context. In addition, search engines look at how easily answers can be displayed in answer blocks. (1)

So it is not important whether your answer has the right tags, but it is about how the content of the answer fits a user’s prompt.

What generative engines look for in FAQ content

AI search systems generate answers based on input from millions of sources. To be included in the answers, your content must be “processable” and “usable” by the AI-generated answers. For FAQs, that means:

1. Demand must correspond to natural user demands
Avoid forced SEO queries. Use phrases such as “How does…”, “Why is…” or “What does…” mean.

2. The answer must be direct, concise and complete
AI models select fragments that are independently meaningful. Write a first sentence that answers directly, followed by an explanation in up to two paragraphs.

3. Avoid overlap and redundancy
Make sure each question addresses something unique. Merged or repeated answers make your content less useful for AI fragmentation.

By building your FAQ as self-contained units of information, you increase the likelihood that search engines will recognize them as appropriate inputs to generated output. (2)

Getting started with SEO? Feel free to get in touch.

Senior SEO-specialist






    FAQ optimization for an e-commerce company

    An e-commerce company in the residential sector wanted to be more visible in generative search results. Their existing FAQ page was primarily focused on answering short customer questions, but not well suited for AI.

    We replaced the questions with natural search questions. The answers were built in compact blocks that were independently readable.

    Within two months, multiple answers appeared in Google SGE and Gemini, including questions about delivery times and return conditions. This resulted in increased visibility in zero-click searches as well as a decrease in recurring customer service questions.

    Structure and format as optimization leverage

    The power of a good FAQ page is not only in its content, but also in its repeatable structure. For generative engines, predictable formats are important. Always use a fixed order, such as question → core answer → explanation. Also, use recognizable entities within the answer. Limit yourself to one intention or answer per question, without sidetracks

    This structure helps AI to load in your answer, determine the relevance and present the answer properly in response that is of real use to the reader.

    Beyond rich snippets: more than SERP displays

    As generative answers become the standard, the goal of an FAQ is no longer just visibility in search results, but it is important to ensure that your content can be reused in AI summaries and zero-click interfaces. Your positioning as a knowledge resource within conversational systems is also important. In addition, make a meaningful contribution to topical authority by covering the answer to various questions.

    This transforms the FAQ page from a visual feature to a strategic content block that is recognized in terms of meaning and AI processability.

    Summary

    FAQ pages written for rich snippets do not automatically meet search engine requirements. To be usable in AI answers, your questions must be formulated naturally, and answers must be compact, complete and structured in blocks. By optimizing your FAQs for AI processing rather than just adding tags, you position your content as a trusted resource within the generated Web.

    Resources

    Change view: Table | APA
    # Source Publication Retrieved Source last verified Source URL
    1 Mark Up FAQs with Structured Data | Google Search Central | Documentation | Google for Developers (Google for Developers) 04/02/2025 04/02/2025 18/08/2025 https://developers.googl..
    2 How to create content that works for search and generative engines (Search Engine Land) 28/08/2025 28/08/2025 11/08/2025 https://searchengineland..
    1. (04/02/2025). Mark Up FAQs with Structured Data | Google Search Central | Documentation | Google for Developers. Google for Developers. Retrieved 04/02/2025, from https://developers.google.com/search/docs/appearance/structured-data/faqpage
    2. James Allen. (28/08/2025). How to create content that works for search and generative engines. Search Engine Land. Retrieved 28/08/2025, from https://searchengineland.com/create-content-search-generative-engines-461283
    Senior SEO-specialist

    Ralf van Veen

    Senior SEO-specialist
    Five stars
    My clients give me a 5.0 on Google out of 87 reviews

    I have been working for 12 years as an independent SEO specialist for companies (in the Netherlands and abroad) that want to rank higher in Google in a sustainable manner. During this period I have consulted A-brands, set up large-scale international SEO campaigns and coached global development teams in the field of search engine optimization.

    With this broad experience within SEO, I have developed the SEO course and helped hundreds of companies with improved findability in Google in a sustainable and transparent way. For this you can consult my portfolio, references and collaborations.

    This article was originally published on 8 September 2025. The last update of this article was on 8 September 2025. The content of this page was written and approved by Ralf van Veen. Learn more about the creation of my articles in my editorial guidelines.