Your listing sinks while competitors buy their way up. AI factories deliver buyouts and shopper activity 24/7: rankings climb, sales follow.
Push my listing up
No slide decks and reports: a working stack built for your task.

Manual buyouts are slow, costly and easy to detect. Our AI factories emulate real shoppers and spread buyouts and activity evenly across marketplaces. Growth looks organic and your cost per action stays low.
You set the strategy. Robots handle the repetitive work around the clock, no budget wasted on manual buyouts.
We map your goals: which products, which positions, what pace. You approve the plan and own the strategy.
Factories emulate real shopper behavior: views, carts, buyouts. Activity spreads evenly, no suspicious spikes.
Robots deliver buyouts and activity 24/7. You watch rankings move and adjust the strategy while the robots keep grinding.





Four reasons an AI-unit stack outruns manual marketing.
Reviews from working with neurounits on specific growth jobs.
That is exactly what the cloud-phone farm is built to avoid. Robots emulate real user actions at human pace: swipes, pauses, taps, warm-up before any push. Each phone runs its own device fingerprint and clean IP, so activity reads as organic instead of bulk automation. We ramp volume gradually and watch account health, not just hit send.
You pay for the setup of the factory and for the volume it runs: number of accounts, actions, and channels. No hidden per-hour billing for people, because robots do the work. We scope the task, agree the price up front, and you know what each unit of output costs before we start.
Setup and account warm-up take a few days, because rushing volume is what gets accounts flagged. After warm-up the factory runs continuously and output scales from there. You get a working pipeline first, then steady volume, not a spike that dies in a week.
Marketplace automation with AI agents means software performs the shopper actions that move a listing up: search, scroll, compare, add to cart, buy, review. The agents run inside managed factories of devices and profiles, not as one script on one machine. Every agent gets its own network, timing and behavior pattern. The goal is plain: rank higher on the queries that sell, and drop cost per action.
Marketplace ranking follows a chain of demand signals: query to click, click to cart, cart to order, order to review. AI-run buyouts recreate that chain in the correct order and at a human pace. Agents enter through the keywords you want to own, look at a few competitors, then purchase your item. The platform reads real buying behavior, so the listing climbs on those exact queries.
We run global marketplaces, typically Amazon, Ozon, Wildberries, eBay and Etsy, plus regional platforms on request. Each one gets a separate factory, because devices, payment methods and delivery rules differ by country. Running several in parallel is normal. You hand over the SKUs and target keywords per platform, and we spread capacity so no single account cluster carries too much of the load.
You get the full factory: accounts, devices, proxies, payment and delivery handling, and the operators who run it daily. Setup covers keyword mapping, SKU targeting and an action plan per platform. During the run you see completed actions, keyword positions and cost per action in a shared dashboard. Product cost and marketplace fees stay on your side, because the goods are genuinely purchased.
Rankings hold when organic demand takes over. Once the listing sits on page one, real shoppers keep the conversion signals alive and the position sticks. If the card converts badly, it slides back, so we taper volume instead of cutting it and track organic share week by week. Automation buys the visibility. The listing, price and photos still have to close the sale.