The frustration is familiar to anyone who has known roughly what they wanted — minimal white trainers, a plain merino jumper, a work bag that isn't enormous — and discovered that no single shop had the full picture. So you open tabs. Many tabs. Each with its own search box, its own filters, and its own private definition of "minimal".
There is no perfect fix. But there are real methods, ranging from free tricks that take thirty seconds to learn, through the industrial machinery of Google Shopping, to a new category of purpose-built tools. Here is the honest map.
Bend the search engine to the task
Google's own documented search operators are the cheapest cross-store search there is. The workhorse is site:, which confines results to a named shop, and it can be chained: a query like
merino crew neck site:johnlewis.com OR site:cos.com OR site:uniqlo.com
searches three shops in one pass, with Google's index doing the walking. Add exact-match quotes — "garment dyed" — when a phrase matters, and a minus sign to banish what you don't want: -polyester. None of this needs an account, an extension, or anyone's permission.
When you can't name the thing at all — you saw it on someone at a wedding — image search does what words can't. Google Lens takes a photo or screenshot and returns visually similar products, with prices and stockists attached. It is genuinely good at "find me this exact thing", and mediocre at "find me things in this spirit", which is a taste judgement no image match can make.
The limitation of all of it: the search engine has no memory of you. The fifteenth search starts exactly as ignorant as the first.
Google Shopping, and who pays for what you see
The Shopping tab looks like a neutral catalogue of the world's shops. The reality is more layered, and Google itself is reasonably plain about it. Since April 2020, results on the Shopping tab have consisted "primarily of free listings" — any merchant can appear without paying. Ranking of those organic listings, Google's own documentation says, is based on relevance to your search. But offers carrying the "Sponsored" label are different: there, the same page states, advertiser payment to Google "may also influence how items are ranked", and Google is paid for clicks.
So the practical rule is simple. The Shopping tab is a useful wide net — provided you read the labels. When the "best match" feels oddly promoted, it may simply be promoted.
It is worth knowing how hard-won even that transparency is. In 2017 the European Commission fined Google €2.42 billion for giving illegal prominence to its own comparison-shopping service over rivals in its search results — and in September 2024 the EU's highest court upheld that fine as final. The lesson for shoppers is not that aggregators are useless. It is that every aggregator's ordering reflects somebody's incentives, and it is fair to ask whose.
Every list of "results" was put in that order by someone, for some reason. The only question is whether the reason is yours.
Comparison sites and browser housekeeping
Dedicated price-comparison sites earn their keep when the product is identical everywhere — a specific television, a named pair of running shoes in a known size. Fashion resists them, because "navy wool overcoat" is not one product but hundreds of incomparable ones. Use comparison engines to price a thing you have already chosen; don't expect them to help you choose it.
Meanwhile, unglamorous browser habits absorb a surprising amount of the pain. A bookmark folder of your eight regular shops, opened in one click as a tab group. A separate browser profile for shopping, so the pile doesn't colonise your working day. Retailer wishlists as a parking lot for maybes. None of this searches anything — it just makes the manual sweep faster to repeat.
And repetition is the tell. Every method so far shares one flaw: it forgets you the moment you close the window.
One caution while you assemble a toolkit: free helpers have business models, and it is worth understanding how free shopping extensions make their money before you install anything.
The purpose-built category
The newest answer is to make cross-store search conversational. In November 2025, OpenAI launched a shopping-research mode in ChatGPT that asks about your budget and needs, then assembles a buyer's guide — part of a broader e-commerce push that includes checkout partnerships with large US retailers. Perplexity moved a year earlier, with a shopping assistant that researches products and, for its US subscribers, buys them in-app.
These tools are real progress: one search box, plain English, many shops. But read the small print of the category. Most are built around US merchants and US checkout deals. Most run on a company's servers, which means your questions — a running diary of your wants — sit there too. And a general chatbot's idea of "you" is a session, not a history; its sense of your taste evaporates on schedule.
One search box across every shop is half the answer. The other half is a search box that remembers what you liked last month.
Where FRIDAY fits
FRIDAY is personal intelligence for shopping, built for exactly this problem. You ask like you'd ask a friend — "plain merino crew neck, not black, under £90" — and it helps you shop across every store on the open web, returning the shortlist, not the scroll. It learns your taste on your device: every purchase, every skip, remembered, so the shortlist sharpens instead of resetting.
The trade-offs are stated plainly, because that is the house style. There are no ads, no data sale — the architecture makes the promise for us. Your taste lives in an encrypted vault sealed with a key only you hold, and you can pause it any time. And when a shop you love isn't covered yet, there's a button for telling us.
Until then: the operators are free, the Shopping tab is wide, and the labels are worth reading. The tab pile was never a discipline problem. It's what shopping looks like when nothing is allowed to remember your taste.
