Should you’ve ever been on Instagram or TikTok and thought, “I really like that particular person’s match, I would like it in my closet,” you are not alone. As somebody who zooms in simply to get a glimpse of a label or recognizable tag in an effort to make an merchandise mine, I knew I needed to give FindGPT a attempt.
This new AI procuring resolution needs to take away essentially the most irritating a part of on-line retail: the countless hunt. As a substitute of opening 5 tabs, reverse-image looking outfits with Google Shopping or Doppl and hoping you discover one thing shut, FindGPT guarantees to do the digging — and even the checkout — for you.
The pitch is easy however formidable: see an outfit you want on social media, tag or DM @FindGPT, and the app identifies the clothes, suggests personalised matches, and even completes the acquisition in your behalf. No affiliate hyperlinks, no plug-ins, no market lock-in. Simply AI performing as a common procuring layer throughout the online.
That’s a giant declare, so I needed to see the way it truly works — and extra importantly, what it says about the place AI-powered commerce is heading.
Amanda’s AI Lab is my new Tom’s Information column the place I check the latest AI instruments, options and traits to see what’s truly price your time. I’ll break down what works — and what does not.
What’s FindGPT?
FindGPT is a newly launched iOS app from startup Aesthetic that focuses on turning inspiration into immediate procuring. Whereas many AI shopping tools exist, most are tied to a single retailer or require browser extensions. FindGPT takes a distinct route: it operates via social platforms like Instagram, permitting customers to tag or message the account immediately after they spot one thing they need. It is a big plus for doomscrollers all over the place. With out leaving the app, FindGPT finds what you need.
After sending FindGPT a DM or tagging them within the submit, the AI analyzes the picture or submit, finds visually related merchandise and presents choices tailor-made to your measurement and preferences. Should you retailer a fee methodology, the system can even carry out what the corporate calls “agentic checkout” — which means the AI completes the acquisition for you throughout verified websites.
One comprehensible draw back is that the app costs a 5% service payment per transaction, positioning itself much less like a market and extra like infrastructure.
How the expertise feels in follow
Utilizing FindGPT feels nearer to texting a really quick private shopper than looking an app. The workflow is conversational: you ship a picture or tag the account, and the AI responds with product matches.
The place it will get attention-grabbing is pace. As a substitute of manually looking for “white outsized coat for girls” and scrolling via pages of outcomes, the AI narrows it all the way down to look-alikes nearly instantly. The ideas weren’t at all times excellent, however they have been directionally proper — and that alone shaved off a noticeable period of time.
For optimum efficiency, I counsel sending the hyperlink (copy/pasting into DM) moderately than merely sending the submit with the merchandise you need. By manually sending the hyperlink, you may get outcomes quicker, and FindGPT can work its magic by seeing all slides inside the submit.
I despatched posts with celebrities on late-night TV to on a regular basis influencers, and nearly each time I used to be provided an answer. It wasn’t correct each time, particularly when there are two folks within the picture, however that is to be anticipated.
Though I didn’t use the non-compulsory automated checkout, I can see the place the know-how turns into greater than a suggestion engine. Handing buy management to AI continues to be a psychological hurdle for a lot of customers, myself included, however the thought of one-tap shopping for throughout a number of retailers hints at a shift in how on-line procuring might work within the close to future.
Why that is greater than vogue
Though FindGPT launches with a vogue focus, the underlying know-how isn’t restricted to clothes. The corporate frames this as the primary “vertical agent” in a broader ecosystem that would increase into skincare, house items and tech. I can solely hope house items and wonder merchandise are subsequent. I would like to ship a random influencer and immediately know what shade of blush or lip coloration they’re carrying.
However for now, what stands out from a tech perspective isn’t simply picture recognition — we’ve had that for years. It’s the mix of agentic AI + fee execution + cross-platform operation. In different phrases, AI shifting from “right here’s what you would possibly like” to “I dealt with it.”
That’s a significant step towards end-to-end shopper AI brokers, one thing many tech firms have been hinting at however few have publicly deployed at scale.
The creator economic system angle
FindGPT additionally positions itself as a device for creators. As a substitute of affiliate hyperlinks or sponsorships, posts turn into routinely shoppable and creators earn when followers buy objects tied to their content material.
If that mannequin features traction, it might subtly reshape influencer monetization — shifting from guide linking to passive infrastructure. That mentioned, adoption will in the end depend upon whether or not creators belief the system and whether or not customers really feel snug letting AI intermediate their purchases.
In fact, there’s the entire privateness and security side, too. Each time AI touches funds, skepticism is pure. The app emphasizes verified retailers and user-initiated transactions, however automated checkout nonetheless requires a leap of religion. For some, it’ll really feel like comfort; for others, like surrendering management.
Ultimate ideas
FindGPT is really easy to make use of and, even in the event you do not buy each merchandise you ask it to seek out, it is nonetheless thrilling to see the outcomes. I additionally appreciated the way it affords all kinds of worth choices. The coat I appreciated could possibly be bought for tons of of {dollars}, however the app additionally offered a budget-friendly one underneath $100.
Whether or not customers totally embrace agentic checkout or stick with suggestions solely, the app affords a glimpse right into a future the place AI isn’t simply helping choices — it’s executing them.
For now, it seems like an early however intriguing step towards AI-driven commerce infrastructure moderately than simply one other procuring app. And if nothing else, it reveals that the following wave of AI instruments could reside much less in chat home windows and extra contained in the on a regular basis platforms we already use.
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