How to Find AI-Style Queries in Google Search Console Without Writing Regex

You open Search Console, go to the queries, and sort by impressions. The top of the list is your brand name and a few short phrases you already knew about. The interesting stuff, the long questions people type the way they'd ask a person, is buried somewhere around row 400.

Those long questions matter. They're the searches AI answers handle most, and they tell you exactly what your buyers want to know, in their own words. Finding them usually means writing a regex filter, testing it, fixing it and exporting the rows to a spreadsheet.

This Search Console AI query finder does it in one click. Connect Search Console, pick your site, and you get the long, conversational searches that already bring you impressions and clicks, sorted and ready to act on. Only you see the result.

What the finder pulls from your Search Console

The finder reads your own Search Console data, so every query on the list is a real search that showed one of your pages in Google.

It looks at the last three months of finished days, since Search Console data runs a couple of days behind. The list shows up to 200 queries, sorted by impressions, so the questions Google shows you for most often sit at the top.

If you manage several sites in Search Console, you'll get a "Choose a site" step first. The finder reads one site at a time.

Read the position column with care. It's an average across every time your page showed up for that search, so a position of 8.4 can hide days at 3 and days at 15. For long questions with few impressions, treat it as a rough guide, and look at clicks and impressions together.

Private by design

Search data is sensitive, so the finder is built to keep it to you. Access is read-only, which means it can look at your data and change nothing. The result page only opens in the browser that ran the check, so a copied link is useless to anyone else.

We don't keep your Google access either. The sign-in is wiped as soon as the queries are read, and the whole result is deleted 24 hours after you start. If you want the list later, run it again.

What counts as an AI-style query

There's no label in Search Console that says a search came from someone who talks to AI tools all day. So the finder uses a simple, clear rule, and it's worth knowing what it catches.

A query counts as chat-style when it has 7 or more words, or when it has 5 or more words and starts like a question, with words like what, how, why, which, can, does or should. That catches searches like "how many working hours are in a calendar year" and "best email marketing software for small business". It skips short phrases like "payroll software" or your brand name.

These are the searches people write the way they'd ask ChatGPT, and they're the ones AI answers in Google tend to cover. They're also where buyers tell you exactly what they need, the size of their team, their budget and the problem they're trying to fix.

Doing it by hand with regex

You can find the same queries yourself. In Search Console, open the Performance report, add a filter on Query, choose Custom (regex) and paste a pattern. These two cover the finder's rule.

Queries of 7 or more words
^(\S+\s+){6,}\S+$

Questions of 5 or more words
^(what|how|why|which|when|where|who|is|are|can|does|do|should|will|i)(\s+\S+){4,}$

It works, but it's fiddly. You have to run two filters and merge them, and the report only shows so many rows before you export to a spreadsheet and sort again. If you check every month, that's the same twenty minutes every month.

What we found when we applied the rule to real keywords

The finder only reads your own Search Console, so we can't run it on other people's sites. What we could do is apply its rule to two sets of real search data we pulled the same week, and the results explain why it's worth running.

The first set was the 1,011 keywords that 15 different sites rank for, taken from each site's top 100 by expected traffic. Only 73 of them, about 7%, were chat-style by the rule, and together they carried about 4% of the expected traffic. The middle keyword was just three words long. Keyword lists built around traffic are mostly short searches.

But look at what happened on those 73. Seventy of them, 96%, showed a Google AI Overview. On the shorter keywords, 69% did. The long, conversational searches are exactly where AI answers show up most.

The second set was 90 buyer questions across three topics, pulled with our Buyer Question Finder. Forty-six of them were chat-style. Their middle monthly search volume was 140, against 1,300 for the shorter ones.

That's the gap the finder fills. Keyword tools show long questions with tiny volumes, or skip them, because each one on its own is rare. Your own Search Console doesn't have that problem. It shows the long searches that actually reached your pages, however rare each one is.

Why long questions are worth more than they look

Each long question brings in a handful of impressions, and it's tempting to skip them for the short keywords with big numbers. That's usually the wrong call, for three plain reasons.

The person asking a long question has told you what they want. "Payroll software" could be anyone. "Best payroll software for a restaurant with 15 hourly staff" is a buyer with a team, a budget and a deadline.

Long questions are also easier to win. Big sites build pages for big keywords and rarely bother with the specific ones. A focused page on your site can beat them for a question they never wrote about.

And they add up. Twenty questions with 50 impressions each are worth as much as one keyword with 1,000, and one well-built page often answers several of them at once. Since these are the searches where AI answers show up most, being the page that answers them clearly gives you a shot at both the click and the citation.

Search Console's AI report and this finder do different jobs

Search Console now has a report for Google's AI features. It shows how often your pages appear in AI Overviews and AI Mode, by page, country and device. It doesn't show the questions behind those appearances, and it doesn't show clicks.

The questions themselves sit in the regular performance report, mixed in with every other search. The finder pulls the long, conversational ones out of that report and puts them in one list.

Use both. The AI report tells you which pages AI features pick up. The finder tells you which questions to write for next.

What to do with the list

A list of 200 questions is only useful if it turns into pages. Sort what you find into four groups.

1. High impressions, low clicks, position 5 to 15. Google thinks you're relevant but not the best answer. Write a page aimed at exactly that question.
2. Position 1 to 3 with good clicks. You're winning these. Keep those pages current and add the follow-up questions people ask next.
3. Questions you show up for by accident, on a page about something else. These deserve their own page, with the answer in the first two sentences.
4. Questions from people you can't help. Ignore them, however many impressions they have.

Group close variants before you write. "How long does it take to replace a roof" and "how long does a roof replacement take" are one page, not two.

Run it once a month

Searches shift with the seasons, with news in your market and with every new page you publish. A list from three months ago is a decent start and a poor plan.

Since each result is deleted after 24 hours, the habit is simple. Run the finder at the start of each month, copy the questions you'll act on into your content plan and let the rest go. Over a few months you'll see which questions keep coming back. Those are the ones worth your best pages.

The finder works well next to our Buyer Question Finder. Search Console shows the long questions already reaching you. The Buyer Question Finder shows the questions people search in your market that you don't rank for yet. Together they cover both halves of a content plan, protecting what works and filling what's missing.

Where RankControl fits

RankControl does this work every month. Connect Search Console in your workspace and your data syncs every day, so the Rankings view can show which queries each article earns. It finds the questions buyers in your market actually search and plans them onto a content calendar. Then it writes and publishes up to 100 articles a month as native posts on your own site, with auto-publish off by default.

It also tracks 50 of your buyer questions every week across six AI engines, Google AI Mode included, next to your Google rankings and the visits AI answers send you. Traffic from Google and AI search comes first. Mentions inside AI answers take longer, and they mostly come from other sites linking to and talking about you. Link Control helps there, finding sites to pitch for each article and sending the emails from your own inbox once you approve them.

You can do this by hand. Run the regex filters every month, merge and sort the rows, plan the pages, write two a week and check your questions in each AI engine every week. That's 20 to 30 hours a month for a small team. Or RankControl can run it for $400 a month, with a 7-day free trial.