Okay, I need to talk about something that's been bugging me for weeks. There's a feature sitting right there on Google's search results page — literally right there, in plain sight — that most businesses scroll past like it's a terms and conditions checkbox. I'm talking about People Also Ask boxes, and I'm increasingly convinced they're one of the most strategically important things in search optimisation right now. Not just for traditional SEO. For the entire emerging answer engine landscape.

And almost nobody is treating them seriously. Which, if you're the kind of person who enjoys having a competitive advantage, should make you extremely happy.

Here's what People Also Ask boxes actually are, because I think most people fundamentally misunderstand them. They're not a cute little feature Google added to fill space on the results page. They're Google telling you, publicly, what it believes users want to know next. These questions are algorithmically derived from patterns across billions of queries. Google has done the user intent research for you, published the results in a neat expandable format, and most businesses respond by... not looking at them.

This is like your competitor accidentally emailing you their strategy deck and you filing it in spam.

Every PAA question is a signal. It tells you what information gap exists between what the user typed and what they actually need to know. And when you map those questions across your target terms, you don't just get a list of FAQs to bolt onto the bottom of a page. You get a structured map of how search engines — and increasingly, AI systems — decompose user intent.

This matters because large language models work the same way. Whether it's Google's AI Overviews, ChatGPT browsing the web, or Perplexity assembling citations, these systems aren't matching keywords anymore. They're identifying the questions embedded in a query and evaluating which sources answer them most completely. PAA is essentially a public-facing readout of the question architecture that AI systems build internally.

You want to know what an answer engine is looking for? Google's already telling you. For free. Every single day.

A recent study by Chris Green at Torque Partnership looked at 563 keywords across multiple niches and intent categories, measuring how strongly PAA question coverage correlates with organic ranking position. The short version: pages that answer more PAA questions rank higher, and the effect is strongest for commercial and transactional queries — the ones where money actually changes hands.

The correlation scores for those commercial queries were remarkably strong. We're not talking "interesting trend." We're talking "if you're ignoring this, you're leaving rankings on the table" strong.

But here's the finding that really got me: completeness across questions beat depth on any individual question. A page that cleanly answers eight out of ten related PAA questions outperformed pages that went deep on three of them. The AI systems selecting sources to cite are satisficing — grabbing the first source that adequately covers the ground rather than reading your beautifully crafted 4,000-word opus on a single subtopic. (This hurt my feelings as someone who routinely writes 3,000 words when 800 would do, but the data doesn't care about my feelings.)

The takeaway is blunt: answer more questions, answer them clearly, answer them first on the page. Then add your depth.

Most businesses treat PAA as an afterthought. Maybe they stick an FAQ section at the bottom of a page, maybe they generate some questions with an AI tool and call it done. This is like having access to a GPS and choosing to navigate by gut feeling because "I know this area pretty well."

Here's why PAA deserves to be a top-tier priority, not a nice-to-have:

It's the closest thing to an answer engine optimisation cheat code. AI Overviews, Perplexity, ChatGPT — they're all building internal question graphs to decide which content to cite. PAA questions are the publicly visible version of those graphs. Optimising for them means you're optimising for the logic that governs AI citation, not just one Google feature.

It works across every industry. Whether you're a SaaS company, a law firm, a local restaurant, or a B2B consultancy — if people search for what you do, there are PAA questions around your target terms. This isn't a niche play. Any business that depends on being discovered through search needs to pay attention.

It compounds. When you systematically answer PAA questions across your content, you're not just improving individual pages. You're building topical authority across a question cluster. AI systems don't evaluate pages in isolation — they assess whether a source consistently and reliably covers a topic space. PAA mapping helps you identify and fill the gaps in that coverage.

It's measurable. Unlike a lot of AI SEO advice that amounts to "make your content better" (thanks, very helpful), PAA coverage can be tracked, quantified, and benchmarked. You can measure which questions you're answering, which ones you're missing, and whether changes in coverage correlate with changes in visibility. Actual data. Actual feedback loops. My favourite kind of optimisation.

Your competitors probably aren't doing it. Seriously. Most businesses are still optimising at the keyword level. The ones who build systematic PAA coverage into their content process now are going to have a structural advantage that's genuinely hard to reverse-engineer later.

Right, so what does actually doing this look like? Here's the approach that makes sense for most businesses, whether you're a five-person marketing team or an agency managing dozens of clients:

Map first, write second. For every target term that matters to your business, pull the PAA questions. Don't just glance at them — document them, categorise them by intent type (informational, commercial, transactional), and map them to specific pages on your site. This is your question coverage audit. If it sounds tedious, that's because it is. It's also the foundation everything else builds on.

Structure content around answers, not topics. Stop writing pages that meander toward an answer somewhere in the third paragraph. Lead every section with a direct, extractable answer in under 50 words. Then add context, nuance, and depth. You're writing for two audiences now — humans who appreciate thoroughness and machines that need to extract a clean snippet at speed. The answer comes first. Always.

Prioritise commercial and transactional content. The data shows the strongest correlation between PAA coverage and ranking happens on pages where purchase or decision intent is highest. Your product pages, service pages, comparison guides, pricing pages — these should be your first priority for PAA optimisation. Not your blog's thought leadership piece about industry trends (sorry).

Deploy FAQ schema where it counts. FAQPage structured data on your highest-intent pages signals to search engines and AI systems exactly where the answers live. Pair this with HowTo markup for process-oriented content and Speakable markup if voice search matters in your sector. And make sure the schema matches what's actually on the visible page — discrepancies between structured data and page content are a trust signal in the wrong direction.

Monitor at the paragraph level. This is where most people stop too early. Don't just track whether a page ranks — track which specific content blocks are being cited in AI Overviews, which PAA positions you're appearing in, and which questions you've lost. The unit of AI citation is the paragraph, not the page. Your monitoring needs to reflect that.

Run validation cycles. Deploy your PAA-optimised content, then measure over 30, 60, and 90-day windows. Track citation rates, PAA appearance frequency, and click-through changes. This isn't a one-and-done exercise. It's an ongoing system that gets better as you feed data back into it.

PAA is not a feature to optimise for. It's a window into the question architecture that increasingly determines which content gets cited, surfaced, and trusted — by search engines, by AI systems, and by the humans who use both.

The brands treating this as a systematic discipline are going to have an edge that's difficult to catch up with. The ones still scrolling past those expandable boxes on the search results page are going to wonder why their content keeps getting overlooked by the answer engines that now sit between them and their customers.

The exam paper is right there. Maybe stop ignoring it.

BONUS: Here is an SOP showing you how to build yourself a small Chrome extension that scrapes People Also Ask and downloads it as an Excel. Don’t be scared, it’s easy peasy.

Jo Lambadjieva is an entrepreneur and AI expert in the e-commerce industry. She is the founder and CEO of Amazing Wave, an agency specializing in AI-driven solutions for e-commerce businesses. With over 13 years of experience in digital marketing, agency work, and e-commerce, Joanna has established herself as a thought leader in integrating AI technologies for business growth.

😍It was great, all I needed

🙂Good, not great

🙄It sucked