Show me your keyword list and I can usually tell you the generation it came from. If everything is "seo services" and "marketing agency Vancouver" with search volumes in the thousands, you're working from a 2018 playbook. It's not that those keywords are dead — it's that they're the ones AI engines already answer so capably that nobody needs to scroll to see whose site is selling.
The demand that's still up for grabs is fragged into a thousand small questions. And the tools built for ten blue links barely see them.
Why classic tools miss this
Search-volume tools measure typed queries against a results page. AI answers don't work that way. A buyer doesn't type "best seo agency" and click the first blue link; they ask "how do I choose between a local SEO agency and an AI content agency?" and the AI synthesizes from whoever's cleanly answering that specific angle.
Those conversational questions carry real intent but tiny, unreliable volume readings in classic tools. So everyone ignores them, which is exactly why they're under-priced.
The method that actually finds them
I'm going to give you a process that mixes data with a little field work, because no single tool does this end to end.
Start with what you already know you're asked. Pull your own Search Console queries and your sales team's most repeated live questions. Every inbound "how does this work" is a piece of demand. That alone is a goldmine most teams never mine.
Decompose your pillar topic into every angle. Take one service. List every question a buyer has at each stage: before they know they need you, while they're comparing, and right before they buy. Write them long-form, naturally, the way a real person would type them.
Interrogate the AI engines themselves. This is the part people are still embarrassed to admit we do, but it works. Ask ChatGPT, Perplexity, and Google's answer to enumerate what sources they consider for your topic. Ask them what they'd want to see in a trustworthy answer. They'll hand you a coverage map in minutes.
Check against the Q&A mines. People Also Ask, Reddit, Quora, and the comments under your competitors' posts are where unpolished demand lives. AI engines train on this stuff, so the phrasing that shows up there is the phrasing AI answers inherit.
How to pick which ones to chase
Don't get drunk on volume. Weight by two things:
- Commercial intent. Does this question put money in motion? "Can a dentist rank locally without reviews?" is closer to a buyer than "history of SEO."
- Entity fit. Can your business answer it better than the fifty generic roundups? If you have a real opinion or data, it's winnable. If not, the AI will pick someone who does.
A handful of intent-laden questions you can dominate beats a bucket of high-volume terms you'll never crack.
Turn it into coverage, not screenfuls
The output of AI research isn't a spreadsheet of 10,000 keywords. It's a short list of questions you can answer authoritatively, mapped to pages and schema. Every question gets a page that answers it in the first two sentences, states your position, and stays consistent with everything else you publish.
Do that for sixty questions and you'll have more genuine, extractable coverage than most sites have in total. That's the kind of depth AI engines reward.
We structure this research for our clients in Montreal and Vancouver every month. If you'd like to see what a month of LLM research turns up for your niche instead of guessing, book a free website teardown and we'll map your first ten opportunities.