Winning AI search starts with knowing which questions to answer. Unlike traditional keyword research, AEO query discovery focuses on the long, conversational prompts people actually type into ChatGPT, Perplexity, and Gemini — and the follow-ups those answers trigger.
Why AEO queries are different
Search keywords are short and ambiguous (“crm software”). AEO queries are full questions with embedded intent (“what’s the best CRM for a 5-person agency that needs invoicing?”). They carry constraints, comparisons, and use cases that map directly to how AI engines synthesize answers. Your job is to surface those questions and the entities they reference. If you’re new to the distinction, start with AEO vs SEO.
Step 1: Mine the AI engines directly
The fastest source of real AEO queries is the engines themselves.
- Ask the seed question. Type your core category question into ChatGPT, Perplexity, and Gemini. Note which brands get cited and which sub-topics surface.
- Harvest follow-ups. Perplexity and Gemini suggest “related” questions under every answer. These are gold — they’re the actual next prompts users send.
- Probe variations. Add modifiers: “best,” “vs,” “alternatives to,” “how to,” “is X worth it.” Each modifier reveals a distinct query cluster.
Step 2: Build query clusters by intent
Group raw questions into intent buckets so you can match content formats to them:
| Intent | Example query | Best format |
|---|---|---|
| Informational | “how does AEO work” | Explainer / definition |
| Commercial | “best AEO tools for startups” | Comparison / listicle |
| Navigational | “Notion pricing” | Product page + FAQ |
| Transactional | “sign up for Perplexity Pro” | Conversion page |
Commercial and comparison queries are where brand visibility pays off most — see Comparison & ‘Best X’ Pages for AEO.
Step 3: Pull from non-search sources
AI engines are trained on conversations, not just search logs. Expand your list with:
- Customer support tickets and sales call notes — the exact phrasing prospects use.
- Reddit, Quora, and niche forums — long-tail questions with rich context.
- “People Also Ask” boxes in Google — these overlap heavily with AI follow-ups.
- Your own site search logs — internal queries reveal unmet intent.
Step 4: Prioritize with a simple scoring model
You can’t chase every query. Score each candidate 1–5 on three axes and rank by total:
- Business value — does answering this query reach a buyer?
- Citation gap — are competitors already cited, or is the SERP/answer thin? A thin answer is an opportunity. Run a competitor benchmarking pass to confirm.
- Authority fit — can you credibly answer this given your existing content and expertise?
Queries scoring 12+ go to your roadmap first. Feed the winners into your AEO content calendar.
Step 5: Validate and close gaps
Cross-reference your prioritized list against what you already publish. Anything with high value but no matching asset is a content gap — the content gap analysis guide walks through closing them systematically. Tie everything back to a documented plan via how to build an AEO strategy.
Step 6: Mine Search Console — knowing what it hides
Your Search Console query table is the closest thing you have to a record of the questions real people typed, in their own words, about your site. It belongs in this process. But it comes with a caveat that changes how you read it.
Google withholds queries issued by only a small number of users to protect privacy. Those anonymized queries still count toward your property totals but never appear as rows. So the query table always sums to less than the property total — in practice by anywhere from roughly a fifth to half of clicks, depending on how long-tail your traffic is. That gap is exactly where AEO queries live, because AEO queries are long, specific and low-volume by nature.
Two rules follow. First, never treat the sum of your query rows as your total — check it against the property figure and read the difference as coverage, not as data. Second, treat an absent query as unknown rather than absent: a question nobody in your Search Console table asked may still be a question thousands of people ask ChatGPT, where Google never saw it at all.
That asymmetry is the whole reason to run both lists side by side. Search-AI Gap does the join for you — matching Search Console queries against the prompts you track, then reporting the two disagreements worth acting on: terms you rank for but no engine cites you on, and prompts engines mention you in that Google shows no ranking for. Neither list produces those findings alone.
A repeatable monthly cadence
AEO query landscapes shift as models update. Re-run this loop monthly:
- Re-prompt your top 10 queries across all engines.
- Log new follow-up suggestions.
- Note any citation changes (you gained or lost a mention).
- Add net-new queries to the backlog and re-score.
Track the trend, not the snapshot — a query you don’t appear in today is a roadmap item, not a failure.
Frequently Asked Questions
How many AEO queries should I target to start?
Start with 15–25 high-priority queries clustered around one or two core topics. Concentrating depth on a narrow set builds topical authority faster than spreading thin across hundreds of unrelated questions. Expand once you’re consistently cited on the first batch.
Do traditional keyword tools still help for AEO?
Yes, as a supplement. Tools that surface “People Also Ask” data and long-tail question keywords overlap meaningfully with AI follow-up prompts. Treat their output as raw input, then refine it with real prompts pulled from the engines themselves.
How do I know if a query is worth winning?
Score it on business value, citation gap, and authority fit. A query is worth winning when it reaches a buyer, has a thin or contested AI answer, and falls within a topic where you can credibly claim expertise. Anything that fails all three is a distraction.
How often do AEO queries change?
The underlying questions are fairly stable, but which brands get cited shifts as models retrain and competitors publish. Re-test your priority queries monthly so you catch citation losses early and add emerging questions before competitors do.