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How to Rank in ‘People Also Ask’ Boxes (and If You Should)

How to Rank in ‘People Also Ask’ Boxes (and If You Should)

In this article, you’ll learn what Google’s ‘People Also Ask’ boxes are, how to figure out which PAA questions are actually worth targeting, a step-by-step process for optimizing your pages to appear as the answer source, and how the same question-answering approach that wins PAA boxes also builds visibility across AI search engines like ChatGPT, Perplexity, and Gemini.

Table of Contents

What is the ‘People Also Ask’ box?

The ‘People Also Ask’ (PAA) box is a SERP feature that shows questions related to whatever someone just searched on Google. Each question expands to reveal a short answer pulled from a web page, along with a clickable link to that page.

[Screenshot: Google SERP showing a PAA box with four expandable questions beneath a search result, with one question expanded to show the answer and source link]

Think of it as Google saying: “Here are more things people like you want to know about this topic.” The answers come in different formats — paragraphs, lists, tables, and occasionally videos — depending on what makes sense for the question.

PAA boxes appear for roughly 43% of all search queries. That’s a lot of real estate. And unlike featured snippets, which lock out the page that already holds position zero, a single page can hold both an organic ranking and a PAA answer on the same results page.

Five things to know about PAA boxes before you start

Before you invest time optimizing for PAA, here are five behaviors you need to understand. Each one directly affects how you plan and prioritize.

1. PAA boxes can appear in any SERP position

Featured snippets almost always sit at the top of results. PAA boxes do not follow this rule. They can show up in position #2, position #6, or sometimes not even on the first page.

[Screenshot: SERP for “how to become a paramedic” showing PAA box near position #2]

[Screenshot: SERP for a different query where PAA box appears much lower, around position #5 or #6]

This matters because the lower a PAA box sits on the page, the fewer eyeballs it gets. When evaluating whether to optimize for a specific PAA question, search for one of the queries where it appears and check its position.

2. PAA questions are effectively infinite

When you click to expand one question, Google loads two or three more below it. Click those, and more appear. It keeps going indefinitely. Each click moves the questions slightly further from the original search intent, but the cascade means a single broad query can surface dozens of related questions.

[Screenshot: Animated GIF or screenshot sequence showing how clicking PAA questions generates more questions]

3. Answer formats vary

PAA answers are not all plain text paragraphs. Some are bulleted lists, some are numbered steps, some are tables, and some are even video results. The format Google chooses depends on what it thinks best answers the question.

[Screenshot: PAA box showing a list-format answer alongside a paragraph-format answer, demonstrating the variation]

This is critical for optimization. If Google already shows a list for a particular question, and your content answers it in a rambling paragraph, you’re unlikely to replace the current source.

4. The same question triggers the same answer source

This is the single most important thing to understand about PAA economics. When a question appears in the PAA box across multiple different search queries, Google pulls the answer from the same web page every time.

[Screenshot: The same PAA question appearing for two different search queries, both pulling from the same source URL]

So if Google decides your page is the best answer for “What are the top 10 websites?”, that answer appears whether someone searches “most visited websites,” “top websites 2026,” or any other related query. One optimization effort can win exposure across hundreds of keywords.

5. PAA questions often overlap with what people ask AI chatbots

Here’s something the original playbooks miss: the questions that surface in PAA boxes are strikingly similar to the prompts people type into ChatGPT, Perplexity, Claude, and Gemini. That’s because both systems reflect the same underlying human curiosity — the same “related questions” people have about a topic.

When someone searches “best CRM for small business” on Google and sees PAA questions like “Is HubSpot really free?” or “What’s the difference between a CRM and a spreadsheet?”, those exact same questions get typed into AI chatbots every day. The difference is that AI chatbots pull answers from sources they consider authoritative and well-structured — the same characteristics that help a page win PAA boxes.

This overlap means that optimizing your content to answer PAA questions well doesn’t just improve your Google SERP presence. It also strengthens the signals that make AI engines more likely to cite your page. We’ll dig into this connection later, but keep it in mind as you work through the optimization steps below.

Is it worth trying to rank in PAA boxes?

The honest answer: it depends. There is very little public data on PAA click-through rates, and what exists isn’t encouraging on the surface.

The most cited study comes from Backlinko, which found that only about 3% of searchers interact with PAA boxes on average. Some queries see interaction rates as high as 13.6%, but the average is low.

[Screenshot: Backlinko study data showing the 3% average PAA interaction rate]

And “interactions” are not the same as clicks. Someone expanding a question to read the answer counts as an interaction. They may never click through to the source page. So the actual click-through rate is lower than 3%.

Let’s do some realistic math. Assume:

  • 3% of searchers interact with the PAA box

  • 40% of those interactions lead to a click on the source page

  • Clicks are distributed equally across four questions (25% each)

That gives you a roughly 0.3% click rate per question. To generate 100 monthly clicks from a PAA result, you’d need the question to appear across keywords with a combined monthly search volume of about 33,000.

That sounds high, but two things make it more achievable than you’d expect:

The same question shows up across hundreds of keywords. Since Google uses the same answer source every time, you only need to win a question once to appear for every keyword where that question surfaces. A single popular PAA question can easily span keywords with 30,000-50,000 combined monthly search volume.

Google can use your page for multiple PAA answers. If your page answers several common questions, you can accumulate exposure across multiple PAA boxes simultaneously.

There’s also a factor that doesn’t show up in traffic metrics: conversion value. Getting 50 extra clicks to a page with a 5% conversion rate and a $200 average deal value means $500 in additional pipeline. For high-value pages, even modest PAA traffic can be meaningful.

When PAA optimization is worth your time

PAA optimization makes sense when your page already ranks in the top 10 for a competitive cluster of keywords, when those keywords trigger PAA boxes, and when the questions Google surfaces are directly relevant to what your page covers.

It does not make sense as a strategy for brand-new sites with little organic traction. If you’re still building topical authority and fighting for page-one rankings, that’s where your effort should go first. PAA is a compounding play — it adds incremental value to pages that are already performing.

How to rank in ‘People Also Ask’ boxes

The process has seven steps. It starts with finding the right questions to target, moves through eligibility checks that prevent you from wasting time, and ends with on-page optimization.

Step 1: Find pages that rank for lots of keywords

You cannot find every keyword where a specific PAA question appears. There are too many, and new ones surface all the time. Instead, you want to start with your own pages that already rank for large clusters of keywords, because those pages are most likely to overlap with high-frequency PAA questions.

Open your SEO tool of choice — Ahrefs’ Site Explorer, Semrush, or a SERP checker — paste in your domain, and navigate to the Top Pages report. Sort by the number of keywords each page ranks for, from high to low.

[Screenshot: Ahrefs Site Explorer > Top Pages report, sorted by Keyword column descending, showing pages with hundreds or thousands of keyword rankings]

Pages that rank for 500+ keywords are your best candidates. They have the broadest keyword footprint, which means more PAA overlap and more potential upside from a single optimization effort.

Step 2: Pull the keyword rankings for your target page

Pick a page from the list. Paste its URL into Site Explorer and go to the Organic Keywords report. This shows every keyword the page currently ranks for.

Apply three filters to narrow the list to useful keywords:

  1. Position < 20. Keywords where you rank beyond page two are likely irrelevant to your page’s core topic.

  2. Search volume ≥ 10. Zero-volume keywords won’t move the needle even if you win the PAA box.

  3. SERP features include PAA. This filter shows only keywords where Google displays a PAA box.

[Screenshot: Ahrefs Organic Keywords report with the three filters applied — position under 20, volume at least 10, and SERP features set to “People also ask”]

Export the filtered keyword list to CSV. You’ll use this in the next step.

Step 3: Scrape the PAA questions

You now have a list of keywords where your page ranks and where Google shows PAA boxes. The next step is finding out which specific questions appear in those PAA boxes.

Paste the full list of keywords from your CSV into a keyword research tool that can export SERP feature data. In Ahrefs’ Keywords Explorer, paste the keywords, then hit “Export” and check the “Include SERPs” box. This gives you the PAA questions for each keyword in the export.

If you’re using another tool, you need a way to extract the PAA questions associated with each keyword. Some tools like AlsoAsked specialize in this, though they approach it from a different angle — mapping PAA question trees rather than starting from your existing rankings.

Step 4: Find the most common questions

Here’s where the economics kick in. Google uses the same answer source for a given question regardless of the search query. So a question that appears in the PAA box for 300 different keywords is worth far more than one that appears for 5 keywords.

Import the CSV from Step 3 into Google Sheets and create a pivot table. Set the PAA question as the row, and add two values: a count (how many keywords trigger each question) and a sum of the search volume column.

[Screenshot: Google Sheets pivot table setup, showing the PAA question column as rows, with COUNTA of Keyword and SUM of Volume as value columns]

The pivot table shows which questions appear most frequently and the combined search volume of the keywords that trigger them. Sort by combined search volume, descending.

For example, you might find that the question “What are the top 10 websites?” shows up in the PAA box for 212 keywords your page ranks for, with a combined monthly search volume of 61,800. That’s a high-impact optimization target.

[Screenshot: Pivot table output showing a few PAA questions sorted by combined search volume, with the top question highlighted]

Step 5: Check if you’re already the answer source

Before optimizing, make sure Google isn’t already using your page. If you’re already the source, there’s nothing to gain and you should move to the next question.

To check: click the “+” icon next to the question in the pivot table data to see one of the keywords that triggers it. Search that keyword on Google (use incognito mode and a VPN set to your target country for clean results). Find the PAA box, expand the question, and look at the source link.

[Screenshot: Google SERP with a PAA question expanded, showing the source page URL beneath the answer text]

If the source is your page, move on. If it’s someone else’s page, you have an opportunity.

Step 6: Verify you’re eligible to rank

Eligibility is the gate most people skip, and it’s the reason most PAA optimization efforts fail.

Here’s the pattern: Google almost always pulls PAA answers from pages that already rank in the top 10 for the question itself. Not for the broader keyword — for the actual question typed into Google.

To check, search Google for the exact PAA question. If your page appears in the top 10 results for that question, you’re eligible. If it doesn’t, you’re almost certainly not going to win the PAA box, no matter how well you format your answer.

[Screenshot: Google SERP for a PAA question like “What are the top 10 websites?” showing the organic results and highlighting a target page ranking in position #3]

If you’re not in the top 10 for the question, go back to Step 4 and pick a different question. Don’t waste time on questions where you have no ranking footprint.

Step 7: Optimize your page

You’ve found a high-value question. You’re not already the answer source. You rank in the top 10 for the question itself. Now you need to give Google a reason to choose your page.

The optimization process checks three things:

Is the answer actually on your page?

If the answer to the question doesn’t exist on your page, you need to add it. Google can’t use your page as a source if your page doesn’t contain the information. You don’t need to match the question word-for-word — Google understands semantic equivalents — but the substance of the answer must be there.

For example, a page about “What Does a Dehumidifier Do?” could get pulled as the answer for “What is a dehumidifier used for?” even though the phrasing is different. What matters is that the page clearly and concisely addresses the question’s intent.

[Screenshot: A web page showing a clear H2 or H3 heading that closely matches a PAA question, with a concise 2-3 sentence answer directly beneath it]

One important guardrail: don’t shoehorn answers to unrelated questions into your content. If your page is a list of the top 100 websites, trying to answer “What is a website?” on that page will feel forced and won’t help you.

Does your answer match the format Google expects?

Look at the current answer in the PAA box. Is it a paragraph? A bulleted list? A numbered list? A table? Google has a preferred format for each question, and it’s visible in the existing answer.

[Screenshot: PAA box showing a list-format answer, demonstrating that Google expects a list structure for this particular question]

If Google is showing a list and your page answers in paragraph form, reformat. This single change — matching the expected format — is often the difference between getting selected and being ignored.

Is your HTML clean and structured?

Google extracts PAA answers by parsing your page’s HTML. Clean structure makes extraction easier. That means:

  • Use proper heading tags (H2, H3) that mirror or closely match the question

  • Put the answer immediately after the heading, not buried three paragraphs down

  • Remove fluff between the heading and the answer — get to the point

  • Use semantic HTML for lists (actual <ul> and <ol> tags, not paragraphs with dash characters)

Some SEOs also recommend adding FAQ schema markup to question-and-answer pairs on your page. Schema isn’t a requirement for PAA selection — plenty of pages win PAA boxes without it — but it gives Google a cleaner signal about which content is a question and which is an answer.

How PAA questions connect to AI search visibility

This is where most guides stop. But if you’re only optimizing PAA questions for Google’s traditional SERP, you’re leaving a significant — and growing — channel on the table.

Here’s the connection: AI search engines like ChatGPT, Perplexity, Claude, and Gemini generate answers to the exact same types of questions that populate PAA boxes. When someone asks Perplexity “What are the top 10 websites?” or asks ChatGPT “Is HubSpot really free?”, those engines scan and cite web pages to build their responses.

The pages they choose to cite share the same qualities Google looks for when selecting PAA sources: clear structure, direct answers, authoritative domains, and semantic relevance. Optimizing for PAA and optimizing for AI citations are, in practice, the same discipline.

This isn’t a coincidence. SEO isn’t being replaced by AI search — it’s evolving. AI search is a complementary organic channel that rewards the same fundamentals: quality, structure, authority, and usefulness.

Track which questions AI engines associate with your brand

PAA questions tell you what Google thinks searchers want to know. But AI engines surface a different (and often broader) set of questions about your brand and category.

With a tool like Analyze AI, you can track the specific prompts and questions that AI engines associate with your brand. The Prompts dashboard shows which tracked prompts your brand appears in, your visibility percentage, sentiment score, and which competitors show up alongside you.

Analyze AI Prompts dashboard showing tracked prompts with visibility, sentiment, position, and competitor mentions

This gives you a direct window into the AI equivalent of PAA: the questions people ask chatbots about your category, and whether your brand is part of the answer.

Discover questions you’re missing in AI search

Analyze AI also suggests prompts you should be tracking. The Suggested Prompts tab surfaces questions that are relevant to your category but that you haven’t started monitoring yet — the AI search equivalent of finding untapped PAA questions.

Analyze AI Suggested Prompts tab showing prompt suggestions with Track and Reject buttons

You can one-click “Track” any suggested prompt to add it to your daily monitoring. This is how you expand your question coverage beyond what Google shows you, into the questions that AI users are actually asking.

See who answers those questions instead of you

In PAA boxes, you can manually check which page Google uses as the answer source. In AI search, Analyze AI automates this across every AI engine.

The Competitors view shows which brands get mentioned alongside yours — and how many times. If a competitor gets mentioned in 70 prompts and you only appear in 34, that gap tells you exactly where to focus your content efforts.

Analyze AI Competitors view showing tracked competitors with mention counts and last-seen dates

Use AI traffic data to validate what’s working

When you optimize a page to answer PAA questions clearly and concisely, that same optimization often improves the page’s performance in AI search. Analyze AI’s AI Traffic Analytics connects to your GA4 data to show you exactly which pages receive traffic from AI engines, which engines send it, and how those visitors behave.

Analyze AI Traffic Analytics dashboard showing visitors from AI platforms with engagement metrics and source breakdown

The Landing Pages report takes this further. It shows which specific pages AI engines send traffic to, the referring AI platform, session count, bounce rate, and conversions.

Analyze AI Landing Pages report showing page-level AI traffic data with referrers, sessions, engagement, and citations

If you see that a page optimized for PAA questions is also receiving growing AI traffic, you know the optimization is compounding across channels. If a page ranks well in Google but gets zero AI traffic, that’s a signal to look at how AI engines perceive that content — possibly by running an ad hoc prompt search to see if your page gets cited when someone asks the AI a relevant question.

Analyze AI Ad Hoc Prompt Searches interface for testing brand mentions across ChatGPT, Google AI, and Perplexity

Understand which sources shape AI answers in your space

PAA optimization is about becoming the source Google trusts for a given question. AI search optimization works the same way — you need to become the source that AI models trust.

Analyze AI’s Sources dashboard shows you exactly which domains and URLs AI engines cite most frequently in your industry. This tells you which content types (blog posts, product pages, documentation) AI engines prefer, and which domains currently dominate.

Analyze AI Sources dashboard showing Content Type Breakdown and Top Cited Domains with citation counts

If the top-cited source in your space is a competitor’s blog post, and you have a page that answers the same questions better, you have a clear optimization target — for both PAA and AI search.

Other ways to use PAA boxes to improve your SEO

Ranking in PAA boxes directly is only one benefit. PAA data can improve your SEO strategy in three other ways.

1. Build more comprehensive content

PAA boxes reveal what else searchers want to know about a topic. These are the follow-up questions people have after reading the initial result. If your content doesn’t address them, it’s leaving gaps that competitors can fill.

For example, the PAA box for “guest blogging” surfaces questions like “Is guest posting still effective?”, “How do I find guest blogging opportunities?”, and “What’s the difference between guest blogging and sponsored posts?” If your guest blogging article doesn’t address any of these, it’s probably less comprehensive than the articles that do — and Google may notice.

[Screenshot: PAA box for a broad topic like “guest blogging” showing 4-5 related questions that reveal subtopics the searcher wants addressed]

Use PAA questions as a content gap checklist. Pull the PAA questions for your target keyword, compare them against your current content, and add sections for any that you don’t cover. This isn’t about keyword stuffing — it’s about making your content more genuinely useful.

This same content gap analysis applies to AI search. When your content addresses a wider range of related questions, it becomes a stronger candidate for AI engine citations. AI models prioritize comprehensive, well-structured content that answers multiple facets of a topic — exactly what PAA expansion helps you create.

2. Find new keywords to target

Most PAA questions themselves have very low search volume — often under 10 monthly searches. But the questions point to topics that people do search for in other phrasing.

For example, the PAA question “When did Apple release AirPods?” might only get 10 searches per month. But searching for it reveals a top-ranking page that gets 4,800 monthly visits from related keywords like “new airpods,” “airpods 3 release date,” and “latest airpods.”

[Screenshot: Ahrefs SEO Toolbar showing organic traffic estimate for the top-ranking page when searching a low-volume PAA question]

The PAA question is a signal pointing you toward a broader keyword cluster. Use those questions as seed terms in a keyword research tool and see what related keywords surface.

This works especially well when PAA boxes reveal product names, tools, or concepts you haven’t thought to write about. Expanding on PAA questions can lead you to discover entire content clusters you might have otherwise missed with conventional keyword research.

3. Protect and improve branded query results

Branded queries — people searching your company name — tend to have low volume but extremely high intent. These searchers are often close to buying. If Google’s PAA box shows misleading or negative answers for your branded queries, it can directly cost you conversions.

[Screenshot: PAA box for a branded query showing a potentially misleading or competitor-sourced answer beneath the brand’s own organic result]

Check what PAA questions Google shows when someone searches your brand name. If the answers come from competitors, review sites, or outdated sources, create content on your own site that answers those questions clearly and accurately. Then follow the optimization steps above to position your page as the answer source.

The same logic applies in AI search. When someone asks ChatGPT “Is [your brand] worth it?” or “What are the downsides of [your product]?”, the answer shapes their buying decision. Analyze AI’s Perception Map shows how AI engines position your brand against competitors on two axes: visibility and narrative strength.

Analyze AI Perception Map showing brands plotted on visibility vs. narrative strength axes, with battlecard popover for a competitor

If your brand sits in the “Visible, Weak Story” quadrant — meaning AI engines mention you but the narrative isn’t strong — that’s a signal to create content that directly addresses the questions AI engines are pulling answers from. The goal isn’t to manipulate AI responses. It’s to make sure your best, most accurate content is what models find when people ask about you.

Analyze AI’s Weekly Email digest also surfaces these changes automatically. Each week, you get a summary of your visibility, rank, sentiment, which pages are gaining or losing citations, and where competitors are making moves — so you can respond before a negative narrative takes hold.

Analyze AI Weekly Email digest showing visibility score, rank, sentiment, pages improving, and citation momentum

4. Use PAA as a content refresh framework

If you have older content that’s stagnating or losing traffic, PAA boxes give you a ready-made framework for refreshing it.

Search the page’s target keyword, pull the current PAA questions, and compare them against what your content covers. Google updates PAA questions over time as search intent evolves. If the questions have shifted since you last published, your content may be out of step with what searchers now want.

Add new sections that address the updated PAA questions. Remove or consolidate sections that no longer align. This gives Google a clear signal that your content is current and comprehensive. It also gives AI engines more question-answer pairs to extract and cite. Here’s a quick framework:

Refresh action

SEO benefit

AI search benefit

Add sections for new PAA questions

Improved SERP coverage and PAA eligibility

More citable Q&A pairs for AI models

Reformat answers to match Google’s expected format

Higher chance of PAA selection

Cleaner extraction for AI citation

Add FAQ schema to Q&A sections

Easier PAA parsing for Google

Structured signals for AI crawlers

Remove outdated or thin sections

Better topical focus and content quality

Stronger authority signal for AI models

Update statistics and examples

Freshness signal for Google

AI models prefer current data

This is the approach that compounds. Instead of treating PAA optimization and AI search optimization as separate projects, use PAA questions as the shared input for both. One content refresh improves your position in both channels simultaneously.

The bottom line

PAA optimization is not a standalone strategy. It works best as a layer on top of an already solid SEO content strategy — a way to extract more value from pages that are already ranking well.

The steps are straightforward: find pages with broad keyword coverage, identify PAA questions with high combined search volume, verify your eligibility, and optimize your content to match what Google expects.

What makes this approach especially valuable today is that the same optimization principles apply to AI search. The pages that win PAA boxes — well-structured, direct, authoritative answers to specific questions — are the same pages that AI engines like ChatGPT, Perplexity, and Gemini choose to cite.

If you want to track how your brand appears across AI search engines, which prompts surface your competitors, and which of your pages actually receive AI-referred traffic, Analyze AI connects all of those dots in a single dashboard. It’s built on the belief that SEO isn’t dying — it’s evolving — and that AI search is the next organic channel to master, not a replacement for the fundamentals.

Check your current AI visibility for free with the AI Visibility Checker, or explore the full Analyze AI platform to start tracking your brand across every major AI engine.

Ernest

Ernest

Writer
Ibrahim

Ibrahim

Fact Checker & Editor
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