Written on 17/3/2026

Updated on 19/3/2026

People Also Ask: the associated questions that reveal intent

Definition

People Also Ask (PAA) are the associated question boxes Google displays in search results. They reveal the sub-questions linked to a query and constitute a mine of intent signals. In 2026, they're also one of the best proxies for mapping the sub-queries generated by LLMs' query fan-out.

What are People Also Ask?

People Also Ask (PAA) are expandable boxes displayed in Google results, containing questions frequently asked in connection with the initial query. Each question opens to show an answer excerpt from a website. PAA are dynamically generated by Google and vary by user, context, and index updates. They appear on approximately 8.5% of searches according to 2025-2026 data. Their particularity: they expand infinitely. Clicking one question generates new ones, creating a tree of related questions around the initial intent.

PAA as intent signals in 2026

PAA are one of the most useful SERP features for understanding the semantic ecosystem around a query. They reveal: the secondary angles users explore after the main query, the assumptions Google considers implicit in the intent, and the depth levels (definition, comparison, practical application) surrounding a topic. In 2026, their importance seems to be declining on informational queries where AI Overviews directly capture sub-questions. But they remain very present on mixed and transactional queries.

What we observe at Vydera: PAA and query fan-out

PAA questions are one of the best available proxies for mapping sub-queries generated during LLMs' query fan-out. You can't directly access the sub-queries Gemini or ChatGPT generate behind the scenes, but Google's PAA reflect a similar logic: what users search next is very close to the sub-angles LLMs explore during query fan-out. A content strategy that systematically covers its target queries' PAA also covers, by definition, a good portion of AI sub-queries.

How to leverage PAA for your content strategy

Extract PAA for each target query via tools like AlsoAsked, AnswerThePublic, Semrush, or directly from Google.
Click each question to expand the tree and map the intent's sub-angles.
Integrate PAA questions as H2 or H3 in your content, with a direct answer in 40-60 words.
Use FAQPage schema for Q&A sections, improving both PAA appearance chances and LLM extraction.

Sources and references

Go further

PAA analysis is part of our content production methodology. Find our analyses on Vydera Lab or contact us to work on the semantic coverage of your queries.

How do you identify PAA questions for your sector?

The most direct method is to search your target queries in Google and collect the displayed PAA. For deeper analysis, specialized tools allow extracting and visualizing PAA trees at scale: AlsoAsked for related question mapping, AnswerThePublic for query variations, Semrush and Ahrefs for Questions in their keyword explorers.

Do PAA and LLMs use the same sources?

Not necessarily the same sources, but a similar logic. PAA are generated by Google's algorithm extracting answers from indexed websites. LLMs select passages from their training data and, with RAG, from the web in real time. Both favor structured content with direct answers after H2 questions. Optimizing for PAA also improves AI citability through the same mechanisms.

Does appearing in PAA increase traffic?

The traffic impact varies. Unlike featured snippets, PAA open inside the SERP and can satisfy the question without a click. The main benefit is visibility and authority: appearing in PAA positions your brand as a reference on the topic. Clicks tend to come more from complex questions than simple ones, where the extract suffices.

Is there a schema for appearing in People Also Ask?

There's no specific schema for PAA. However, FAQPage schema is the closest: it explicitly tags question/answer pairs, which Google exploits for PAA and other rich features. Best practice is to implement FAQPage schema on pages containing visible Q&A sections, ensuring the questions exactly match the displayed content.

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Related terms

GEO / AEO

Query fan-out

Query fan-out is the mechanism by which an AI transforms your question into 8 to 15 parallel sub-queries before generating a response. If your content doesn't answer these implicit sub-queries, it will never be extracted, even if you rank #1 for the main query.

SEO

SERP

The SERP (Search Engine Results Page) is the page Google displays in response to a query. In 2026, it has nothing to do with the old "10 blue links": AI Overviews, featured snippets, People Also Ask, and knowledge panels all coexist. Analyzing a SERP before producing content means understanding what Google considers the right answer. And therefore what you need to be.

SEO

Featured Snippet

A featured snippet is the box displayed at the top of Google results, before standard organic listings, known as position zero. But in 2026, its value goes beyond the click: content that earns a featured snippet is also far more likely to be cited in AI Overviews and by LLMs. Optimizing for featured snippets means optimizing for all AI extraction.