Wisry

Wisry is an agentic ad-cloning platform built for ecommerce brands, described on its website as an 'Agentic AdClone for ecommerce.' Its core promise is simple to state and ambitious to deliver: AI agents run the whole play. They scan the Meta and TikTok ad libraries for the ads already winning in your market, clone them into your brand as static and video ads, and launch them to Meta and Google, optimized for ROAS. Wisry presents itself as a way to get 'Winning ads, without the guesswork,' and headlines its home page with the claim 'Launch high-ROAS ads, 10x faster.' The platform says it is trained on over $1B of ad spend, and that the strategist agent is backed by $1B+ in ad spend used to train it. The intended audience is ecommerce brands and the marketers, agencies and growth teams that run paid social for them. Onboarding begins with a single input: paste your store URL, and Wisry builds brand memory covering products, voice, visual identity and audience, so that every agent stays on-brand. From there the platform is meant to act as an autonomous ecommerce growth team. Paid social for ecommerce is a research-and-iteration problem as much as a creative problem. The Wisry site frames the status quo as slow and uncertain: marketers spend weeks on research, creative production and launch, and much of that effort is guesswork about which hooks, angles and formats will actually convert. Wisry's own customers describe the pain directly. One supplement brand says that in its category 'speed is everything' - it does not need more creative ideas, it needs to spot what is winning and replicate it before the window closes. An agency customer says the bottleneck 'was always research and iteration,' and that agentic research finds what is working across a market and turns it into output at a pace a manual team could not touch. Another customer, selling hardware to Tesla owners, notes that it operates in a niche audience 'where every ad dollar counts' and that it is no longer 'testing blindly' but scaling what is proven. Wisry's answer to this is to replace open-ended guessing with evidence pulled from ads that are already spending and converting in the market. The first group of capabilities is research and strategy. Wisry's flagship feature is agentic ad research: research agents read the ads already running in your market, cite what they found, and turn the winners into angles you can brief. The site shows this working against the Meta ad library and TikTok top ads, ranking the ads it finds - for example, a ranked set where the top three of nineteen are surfaced with details such as how long each ad has been live (64 days, 35 days, 23 days), how many variants sit behind the concept (17, 10 and 6), and impression counts in the millions. The reasoning shown is explicitly performance-based: the longest unbroken spend in the run, a format that survived a full test cycle, and the fastest variant ramp in the category. A strategist agent then turns that research into campaign concepts covering audience, hooks and messages, and attaches source citations behind every angle. Because Wisry builds brand memory from your store URL - products, voice, visual identity and audience - every agent in this chain stays on-brand rather than producing generic output. The second group is creative production. Wisry clones video ads: point it at a video ad that works and get your own version of it, matching the same structure and pacing while swapping in your product and your brand; the site illustrates this as 'Structure matched' across hook, proof and close. Static ad cloning follows the same logic: Wisry rebuilds a winning static in your palette, your type and your product shots, then fans it out into every placement you need. The site is explicit about what is kept and what is swapped - layout, headline structure and type are kept, while palette, product and type are swapped for your brand. On top of cloning, Wisry ships ad templates so campaigns start from formats with a track record instead of a blank canvas; templates include listicle, problem-solution, quiz, portrait, us-vs-them, seasonal, feature-benefit and how-to, arriving in feed (1:1 and 4:5), portrait (2:3), landscape (16:9) and story (9:16) sizes, and each one is sized and safe-area-checked for its placement, including Reels, Story and Feed. Finally, every generated cut opens in a real video editor inside Wisry, where you can retime scenes, restyle captions, swap a shot and re-render without leaving the platform. The third group is launch and optimization. Once creatives exist, an ads agent ships them to Meta and Google, watches performance, moves budget to winners, and keeps new creatives coming - a loop the site summarizes as 'launches, optimizes, repeats. 24/7.' This is what makes the system agentic rather than a one-off generator: the same platform that produced the ads from market evidence also handles distribution and budget allocation based on how those ads perform. Wisry describes its studio as shipping nine capabilities, all pointed at selling more of your products, with the two flagship features being the ones everything else is downstream of. The end-to-end loop is presented as a continuous cycle rather than a campaign: research feeds strategy, strategy feeds creative, creative feeds launch, and launch performance feeds the next round of iteration. Wisry's overall approach is deliberately end-to-end and evidence-first. The workflow is described in five steps: first, Wisry pulls your brand and products after you paste your store URL, building brand memory across products, voice, visual identity and audience; second, a research agent deep-analyzes your Meta and TikTok competitors' ads and content to find what is already converting; third, the strategist agent generates evidence-backed angles for your campaigns, including audience, hooks and messages with source citations; fourth, the agents copy winning creatives for your products, generating video and static ads from the best-performing ads and your chosen angles; and fifth, the ads agent launches, optimizes and repeats around the clock. The site summarizes the whole flow as 'Your store in. Winning ads out.' Under the hood, Wisry says it is orchestrated using leading models, listing Grok, Gemini, OpenAI, Claude, KlingAI and Nano Banana as the models involved. The distinguishing idea is that every angle is traceable to a real ad that is already winning, and every output stays inside the brand memory built at onboarding. The benefits Wisry claims are framed in performance and speed terms. The site advertises a +200% average boost in ad performance, $1B+ in ad spend used to train the strategist, a 10x faster path to launching a high-ROAS campaign, and a shift from weeks to minutes for research, creative and launch handled end to end. Customer quotes add concrete outcomes: a hardware brand selling to Tesla owners reports ROAS up 300% since starting and describes scaling what is proven instead of testing blindly; a supplement brand reports shipping winning variations 2x faster and describes the difference as reacting to trends versus riding them; and an agency says it has scaled client accounts much faster because agentic research finds what works across a market and turns it into output at a pace its team could not match manually. Concrete scenarios described in the content include a niche hardware brand that sells to Tesla owners and needs every ad dollar to count, scaling what already works in its account; a supplements brand operating in a fast-moving category that needs to spot winning creative and replicate it before the window closes; and an agency running ads for many clients, where research and iteration were the bottleneck and agentic cloning lets it scale client accounts faster. More generally, the product is built around the ecommerce advertising workflow of importing a store, researching a market's Meta and TikTok ads, generating evidence-backed angles, cloning winning static and video creatives into a brand's own palette, product shots and type, fanning them out across placements using templates, launching to Meta and Google, and then continuously moving budget toward the winners while new creatives are produced. Wisry is a paid product. The pricing section offers three commitment lengths with one payment up front, after which the plan continues month to month: 2 weeks at $49.50 (discounted to $34.65, saving 30%), 4 weeks at $99 (discounted to $49.50, saving 50%, marked Most Popular), and 8 weeks at $198 (discounted to $89.10, saving 55%). The site highlights a per-day cost of $3.53 at full price, reduced to $2.48, $1.77 and $1.60 per day at the three tiers, and the entry call to action is 'Get started for $49.50' with the note that this is one payment of $49.50 for 4 weeks, then $99/month, cancel anytime, secured by Stripe. Wisry runs in the browser as a web app. The site also notes a Product Hunt launch promotion offering up to 55% off. In short, Wisry's primary value proposition is that ecommerce advertisers no longer have to guess what creative will work. By researching the Meta and TikTok ads already winning in a market, converting that evidence into cited angles, cloning the strongest static and video creatives into a brand's own identity, launching them to Meta and Google, and then optimizing budget around performance around the clock, Wisry turns paid social from a slow, speculative process into a faster, evidence-driven loop - 'Winning ads, without the guesswork.'