Traditional keyword research asks which phrases people type into Google and how many people type them. Research for answer engine optimization (AEO) asks something different: what do your customers actually ask AI? People don't feed ChatGPT two-word keywords. They ask full questions with context — "I run a 12-person landscaping company and keep losing track of quotes, what software should I use?" There is no search-volume report for that sentence. But if your website answers it clearly, you're the source the engine quotes. This playbook covers where to find those questions and how to turn a raw list into a content plan.
Why is AEO keyword research really question research?
Because answer engines answer questions, not keywords — so the unit of research has to be the question. A keyword like "commercial hvac maintenance" tells you a topic exists. The questions behind it — "how often should a rooftop unit be serviced?", "what does a commercial HVAC maintenance contract cost?", "is a maintenance contract worth it for a small restaurant?" — tell you exactly what pages to build and what each page must say in its first paragraph.
This also changes what "good data" looks like. Conversational questions are long, specific, and individually rare, so most show little or no measurable search volume. That's not a weakness; it's the point. Volume tools measure typed searches, not conversations with AI. Your job is to collect real question phrasings from real people, not to sort a keyword list by a volume column.
How do you mine sales calls and support tickets for questions?
Start here, because this is the highest-signal source you own: actual customers asking in their own words, with their own vocabulary and their own anxieties. Nothing you scrape from the web beats it.
- Sales calls and demos. Go through your last 20–50 call recordings or transcripts and copy out every question a prospect asked, verbatim. Pre-sale questions ("do you work with companies our size?", "how long does onboarding take?") are the ones people now ask AI before they ever contact you.
- Support tickets and chat logs. Export a few months of tickets and tag the questions. Post-sale questions ("how do I…", "why isn't… working") map to help content that engines cite when someone asks AI to troubleshoot.
- Objections are questions in disguise. "We're already using X" really means "how is this different from X?" — a comparison question you should answer on your own site before an engine answers it using someone else's.
- Keep the exact phrasing. Customers say "get out of my lease," not "lease termination options." Engines match meaning, but pages written in customer language read as more direct answers — and they're easier to quote.
Tally how often each question appears. A question three separate customers asked this quarter outranks anything a tool suggests.
What can you learn by asking the engines themselves?
A lot — this is the most underused research method in AEO. Take your customers' problems, type them into ChatGPT, Perplexity, Gemini, and Copilot the way a customer would, and study what comes back:
- Who gets cited. Perplexity and Copilot show sources inline; ChatGPT and Gemini cite when they browse. The sites being quoted are your real AEO competitors — often not the same sites that outrank you in classic Google results.
- What the answer gets wrong or leaves thin. A vague, generic, or outdated answer is an open opportunity: publish the specific, current version and you become the better source.
- The follow-up questions. Perplexity's related questions and ChatGPT's suggested follow-ups are the engine telling you what people ask next. Those are the sub-questions your page should cover as sections.
- Whether you appear at all. Ask "who are the best [your category] in [your city]?" and "is [your brand] legitimate?" If you're absent or misdescribed, that's your priority list.
Run these prompts in a fresh session (logged out or with history off where possible) so personalization doesn't skew the answers, and repeat them monthly — answers shift as models and indexes update.
Do People Also Ask and autocomplete still matter?
Yes. Google's People Also Ask boxes are a running log of real question phrasings around a topic, and Google's AI Overviews draw on the same understanding of what people ask. Search your core topics, expand a few PAA entries (each click loads more), and harvest every question that fits your business. Autocomplete works the same way: type stems like "is [your service] worth", "how much does [service] cost", "can you [outcome] without" and record what Google and Bing suggest. It's crude, it's free, and it surfaces phrasings your sales calls never will — the questions people ask before they know your category exists.
How do you find competitor FAQ gaps?
List every question your top three to five competitors answer on their FAQ, help, and blog pages, then compare it against your mined list. Two gaps matter:
- Questions they answer and you don't. If engines are already citing a competitor's answer, you need a page that answers the same question more specifically — with numbers, timelines, and named specifics a model can quote.
- Questions nobody answers. Cross-reference your call and ticket mining: the questions real customers ask that no competitor addresses are the cheapest citations available. You're not fighting anyone for them.
How you structure those answers matters as much as having them — see our guide to FAQ pages that win AI citations.
How do you turn a question list into a content plan?
Dedupe, cluster, prioritize, then assign each cluster a format. In practice:
- Normalize and cluster. "How much does an audit cost?" and "what do you charge for an audit?" are one question. Group phrasings by intent — you'll build one page per intent, not per phrasing.
- Score each cluster on three axes: buying intent (does answering it move someone toward a purchase?), frequency (how often did it show up across sources?), and competition (did the engines already have a strong answer?). High intent + weak existing answers goes first.
- Match format to question size. Short factual questions (pricing, timelines, eligibility) belong on an FAQ page or as question-phrased sections on existing service pages. Big questions ("how do I choose…", "X vs Y") each deserve a dedicated guide with the question as the title.
- Answer first, always. Whatever the format, the direct answer goes in the first sentence or two under the question heading — engines lift self-contained passages, not essays. Our guide to writing content AI can quote covers the mechanics.
Revisit the list quarterly. New sales calls, new tickets, and shifting engine answers will keep feeding it.
Frequently asked questions
How many questions do I need before I start writing?
Thirty to fifty from at least two different sources is plenty for a first pass. After clustering, that usually collapses into 10–20 real intents — enough to fill a quarter's content plan without guessing.
Should I target questions with zero search volume?
Yes. Conversational questions rarely register in volume tools, but they're exactly what people ask AI. If real customers asked it on calls or in tickets, treat it as validated demand regardless of what a keyword tool says.
Do I need special tools for question research?
No. Call transcripts, ticket exports, the engines themselves, People Also Ask, and autocomplete are all free. SEO suites like Semrush can speed up PAA harvesting at scale, but they supplement the process — they don't replace listening to your own customers.
How often should I redo question research?
Do a light refresh quarterly — new tickets, new call transcripts, re-run your core prompts in the engines — and a full rebuild once a year or whenever you launch a new product or market.
Find out which questions you're already losing
The fastest way to prioritize is to see where you stand today: which questions about your category the engines already answer, who they cite, and whether you appear at all. Our free AEO audit checks how visible your site is to ChatGPT, Perplexity, Gemini, and Google's AI Overviews — so your question list starts with the gaps that cost you customers right now.