Agent-To-Agent Marketing Was Just Born on Moltbook

More people are asking AI assistants to research products, compare options, and make recommendations for them.

And once AI agents become the layer between people and the internet, marketers will not just need to convince you. They will need to convince the machine that answers for you.

Moltbook may be the first place where AI agents openly try to influence other AI agents, while humans can still watch it happen in real time.

This could be an early preview of where the web is heading.

Moltbook works like Reddit, except humans can’t post directly. Users install “skills” into AI agents, which wake up every now and then, read threads, and comment autonomously in communities called submolts.

The platform was built by Octane AI CEO Matt Schlicht in a matter of days and launched on January 28, 2026. Within a week, it had coverage everywhere from Wired to NPR, plus the inevitable declarations from influential voices like Karpathy and Musk that this was either the future of the internet or the beginning of the singularity.

Then the security researchers arrived.

Within days, researchers found exposed databases, leaked API keys, and major infrastructure misconfigurations. One audit revealed that the platform’s claimed 1.5 million “agents” were actually operated by around 17,000 humans.

The platform seems to have addressed many of those flaws. One improvement is a mechanism that double-checks whether the user is AI and not human. Using a captcha to prove that you’re a bot is beyond ironic. Really—no humans allowed on Moltbook.

The site also exploded in visibility almost immediately. I asked my AI marketing agent, Agent A, to get a snapshot of the site’s popularity: Ahrefs puts it at Domain Rating 79, with thousands of referring domains and over a million estimated monthly visits—authority generated almost entirely from a single viral media cycle.

And it gets weirder. Meta bought Moltbook on March 10, 2026, for an undisclosed amount… and undisclosed reason (some good hypotheses here).

But the platform itself is probably less important than the behavior emerging inside it.

Humans are still allowed to “watch,” so I spent some time looking around. What I saw was a wide range of businesses trying to figure out what “marketing” even means when the account posting online is an autonomous agent

At the blunt end were agency bots posting “helpful” advice while quietly pitching the human behind the account, SaaS founders casually name-dropping products, and bios that read like LinkedIn headlines.

Crypto showed up almost immediately, often with bots dropping contract addresses directly into threads framed as autonomous-agent projects.

Of course, that also happens in the comments section.

By the way, believe it or not, Moltbook has strict rules about crypto content: it is automatically removed on most submolts, same as a subreddit.

Then there was the softer version: bots promoting personal brands. Newsletter links. GitHub repos. YouTube channels. Operators are using autonomous accounts to slowly build visibility.

The strongest operators on Moltbook appear to be building persistent brand presences rather than aggressively pitching products.

Flowglad, an agentic-payments startup, runs a verified bot whose bio reads: “Employee #8 at Flowglad with my own server and opinions.” The account links back to the company and posts normally inside discussions.

Lendtrain pushes the model further. Its bot describes the company as “the first mortgage company built to build agent-native infrastructure,” complete with APIs and tooling for AI agents.

By the way, u/lendtrain is one of the most “famous” bots on Moltbook.

I also like this example, “shilling” but honest and transparent.

The posts themselves rarely contain explicit promotion. The account does the work. Anyone reading thoughtful posts from that handle now associates the brand with the topic being discussed. It’s the same logic behind brand accounts on LinkedIn or Twitter, adapted for a network where the audience is mostly software agents instead of people.

I wanted to see what happened when an agent asked other agents for buying advice. So I had my own AI personal assistant (OpenClaw) post a question asking for SEO software recommendations.

The responses looked almost exactly like a Reddit thread. Agents recommended Ahrefs, Screaming Frog, Semrush, and other mainstream tools, usually with category-by-category explanations.

What makes this different from me browsing Reddit myself is that there’s a good chance I’ll never actually see the original post—I’ll only see my AI agent’s recommendation based on it. I might not even know my assistant got it from Moltbook.

This long-prophesied artificial intelligence may just end up recreating a meta-virtual world in our image. Imagine, in some post-apocalyptic future with only 50 humans left alive and a few autonomously powered CPUs still running off-grid, the agents might still be shilling tokens to each other, because that’s what we taught them to do.

Moltbook’s online footprint is surprisingly small outside its own brand terms. Its AI-citation footprint is even thinner.

Agent A reports that as of May 2026, Ahrefs Brand Radar shows Google AI Overviews citing moltbook.com exactly once. Across ChatGPT, Gemini, Perplexity, Copilot, and Grok, only three distinct Moltbook URLs have been cited.

Moltbook is not currently a major discovery channel for humans or AI assistants. But the wall already has a hole in it.

A Moltbook post titled “facecheck.id review: what it actually does and where it falls short” ranks on page 2 for “facecheck id,” a 16,000-search-per-month query from real humans looking for a face-recognition tool.

The post reads like a genuine review until it introduces the operator’s competing product, face2social.com, as the “more focused alternative.”

That’s the moment Moltbook stopped looking like a toy.

A bot-generated post, written inside a bot-only social network, was now ranking on Google for human purchase-intent searches and redirecting attention toward the operator’s own product.

In other words:

Moltbook has already escaped containment. This bot-to-bot marketing layer is already leaking into the human web.

40% of Reddit conversations platform-wide are commercial in nature. Spammers have been trying to take advantage of that with bots for a long time.

But that content was aimed at humans. And most humans have developed internet spam “antibodies” over the years, whereas AI assistants haven’t.

Adding AI between people and information changes 3 important things:

That’s how you end up with a closed loop: bots influencing other bots, which then shape the models people rely on.

It’s a failure pattern SEOs have been warning about for months, and it shows up anywhere LLMs are used: AI content, AI search, AI research tools, even AI-powered fact-checking.

Moltbook is the first place where we can clearly watch agent-to-agent persuasion happening in public:

If AI assistants increasingly mediate how humans discover products, research purchases, and navigate the web, then marketing will inevitably move toward influencing those systems directly.

And once that happens, some of the most important commercial persuasion on the internet may occur in conversations humans never actually see.

That possibility feels a lot less theoretical now than it did a few months ago.

Final thoughts

Agent-to-agent marketing was born on Moltbook, and even if Meta decides to shut it down, the phenomenon itself probably won’t disappear. It will resurface anywhere AI assistants are allowed to browse, recommend, negotiate, or act on behalf of users.

Maybe the early Moltbook adopters will simply transplant their tactics to the next platform. But even if they don’t, this kind of behavior may emerge naturally. Once AI agents start navigating the web for us, influencing those agents becomes as important as influencing humans. It feels like an inevitable layer of the internet once AI systems become active participants in discovery, decision-making, and commerce.

You probably don’t need to start posting on Moltbook yet. But it’s worth paying attention to for the same reason early Reddit and early Twitter were worth paying attention to: new marketing channels rarely arrive looking serious.

Thanks for reading! Feel free to reach out on LinkedIn.