Type a search query. See the sub-queries an AI Mode–style system would likely fan out to before assembling its answer — and what your content needs to cover to catch each one.
This isn't just a pre-writing tool. There are a handful of moments in a normal content workflow where running a query through here saves you from guessing. Tap any of these to see when it actually applies.
Hit generate and you'll get the smaller searches an AI answer engine would quietly run before it replies. Ask Google's AI Mode about "best sneakers for walking" and it doesn't just answer that one thing — it goes and checks best sneakers for men, sneakers by season, trail sneakers, slip-ons, then stitches it all into one answer with sources. That splitting-up is what shows up above, fanned out by category.
Drop your own content — or a competitor's — into the box under your results. It'll go sub-query by sub-query and tell you what's already answered, what's skipped, and which of those gaps are actually big enough to deserve a page of their own instead of a paragraph bolted onto what you've got. That last call is the part most tools skip.
For any missing topic, click "pull keyword data" and you'll see roughly how many people search for it, how hard it'd be to rank, and who's currently sitting at the top. That's the difference between "we should probably cover this someday" and "here's the exact next page to write."
One honest caveat: nobody outside Google actually knows the exact logic their systems use to fan a query out. What you get here is a well-informed guess, built the way a sharp SEO would reason through it by hand — just done in a few seconds instead of an afternoon.
Most people think of a search as one question, one answer. It isn't anymore, at least not behind the scenes. When Google's AI Mode gets a query like "best sneakers for walking," it doesn't just answer that — it quietly runs a batch of smaller searches first: best sneakers for men, sneakers by season, trail sneakers, slip-ons, and a few more you'd never think to type yourself. Then it stitches all of that into the one answer you actually see, with sources attached.
That's what this tool guesses at. You type a query, it works out the batch of smaller searches an AI system would likely run for it, and groups them by what they're actually trying to find out — a definition, a comparison, a price, a how-to. It's the same kind of thinking a good SEO does by hand when planning a page, just done in a few seconds.
The more useful part happens after that. Paste in a page — yours or someone else's — and it checks it against that list of smaller searches: what's already answered, what's missing, and which of the gaps are actually big enough to justify a page of their own instead of a paragraph tacked onto what's already there. Most tools stop at handing you a list of queries and leave that judgment call to you. This one makes the call and tells you why.
And for any gap worth chasing, you can pull the actual numbers — search volume, how competitive it is, who's ranking for it right now — so you're not guessing whether a topic is worth writing about, you're deciding it with data in front of you.