Direct ads get scrolled past. AI joins your audience's chats and recommends your product like a regular member. Cheaper clicks, warmer leads.
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No slide decks and reports: a working stack built for your task.

AI finds chats where your audience lives, reads the discussion and waits for the right question. Then it recommends your product as a regular member. People read it instead of scrolling past: more touches, lower cost per click.
You set the product and the boundaries. AI runs the seeding around the clock. First touches come within 3-5 days.
AI finds topical chats where your audience actually talks and filters out dead ones. You get a map of active groups worth seeding.
AI reads the context, waits for the right question and recommends your product like a regular member. The message gets read, not scrolled past.
Interested users go to your offer. The report shows chats, reach, clicks, leads. Weak chats get swapped for new ones.





Four reasons an AI-unit stack outruns manual marketing.
Reviews from working with neurounits on specific growth jobs.
That is our job to prevent. Agents warm accounts up first, send at a human pace with natural gaps, rotate senders and stay inside per-account limits, so deliverability holds and accounts stay alive instead of getting flagged in week one.
You give us the offer and the ideal client. Agents build the target list, read each prospect's context and write a first message tied to their business, not a mass template. Every reply is answered in the thread until the person asks for a call or opts out.
Sending starts within days once accounts are warm and the list is built. First replies usually land in the first week or two, and volume climbs as agents learn which openers and follow-ups pull requests. You see conversations and booked meetings in a shared report, not a vanity dashboard.
Telegram seeding is native promotion inside topical chats. Instead of buying a post slot, we join communities where your buyers already talk and recommend your product inside real conversations. The mention arrives as advice from a participant, not as a banner. That is the whole point: people skip ads, but they read answers to questions they asked themselves.
First we collect chats where your audience lives and check them for real activity. Then accounts join, read the context and stay quiet for a while. AI tracks the thread and waits for a relevant moment: someone asks about a task your product solves. The reply answers the question first and mentions you second, in the tone of that specific chat.
Price depends on the number of chats, accounts and monthly message volume, so we quote after a short call. A standard package includes chat research and selection, account warm-up and infrastructure, message scenarios written for your product, daily moderation of conversations and a report on mentions, replies and traffic. No hidden fees for account replacements.
Products with an active niche community and a considered purchase: B2B services, SaaS, education, crypto and fintech, agencies, local services in big cities. If your buyers ask each other for recommendations in chats, seeding works. If the audience is broad consumer with no niche communities, paid ads usually deliver cheaper reach and we will say so upfront.
The risk is being caught as an obvious shill, and that comes from spam behavior. We limit mention frequency per chat, never post the same text twice and never argue with moderators. Every message is useful on its own, even if a reader ignores the recommendation. If a chat pushes back, we stop there instead of pressing and burning the brand.