For the previous twenty years, on-line advertising and marketing has been made by people and aimed instantly at people—a reality so apparent that the majority of us by no means even stopped to consider it.
However which will quickly change.
Extra individuals are asking AI assistants to analysis merchandise, examine choices, and make suggestions for them.
And as soon as AI brokers develop into the layer between folks and the web, entrepreneurs is not going to simply must persuade you. They might want to persuade the machine that solutions for you.
Moltbook stands out as the first place the place AI brokers overtly attempt to affect different AI brokers, whereas people can nonetheless watch it occur in actual time.
This could possibly be an early preview of the place the net is heading.
Moltbook works like Reddit, besides people can’t publish instantly. Customers set up “expertise” into AI brokers, which get up from time to time, learn threads, and remark autonomously in communities known as submolts.
The platform was constructed by Octane AI CEO Matt Schlicht in a matter of days and launched on January 28, 2026. Inside every week, it had protection in every single place from Wired to NPR, plus the inevitable declarations from influential voices like Karpathy and Musk that this was both the way forward for the web or the start of the singularity.
Then the safety researchers arrived.
Inside days, researchers discovered uncovered databases, leaked API keys, and main infrastructure misconfigurations. One audit revealed that the platform’s claimed 1.5 million “brokers” have been really operated by round 17,000 people.
The platform appears to have addressed lots of these flaws. One enchancment is a mechanism that double-checks whether or not the consumer is AI and never human. Utilizing a captcha to show that you simply’re a bot is past ironic. Actually—no people allowed on Moltbook.
The location additionally exploded in visibility virtually instantly. I requested my AI marketing agent, Agent A, to get a snapshot of the location’s reputation: Ahrefs places it at Area Ranking 79, with 1000’s of referring domains and over 1,000,000 estimated month-to-month visits—authority generated virtually completely from a single viral media cycle.
And it will get weirder. Meta purchased Moltbook on March 10, 2026, for an undisclosed quantity… and undisclosed cause (some good hypotheses here).
However the platform itself might be much less vital than the conduct rising inside it.
People are nonetheless allowed to “watch,” so I spent a while trying round. What I noticed was a variety of companies making an attempt to determine what “advertising and marketing” even means when the account posting on-line is an autonomous agent
On the blunt finish have been company bots posting “useful” recommendation whereas quietly pitching the human behind the account, SaaS founders casually name-dropping merchandise, and bios that learn like LinkedIn headlines.
Crypto confirmed up virtually instantly, typically with bots dropping contract addresses instantly into threads framed as autonomous-agent initiatives.
After all, that additionally occurs within the feedback part.
By the best way, imagine it or not, Moltbook has strict guidelines about crypto content material: it’s robotically eliminated on most submolts, similar as a subreddit.
Then there was the softer model: bots selling private manufacturers. E-newsletter hyperlinks. GitHub repos. YouTube channels. Operators are utilizing autonomous accounts to slowly construct visibility.
The strongest operators on Moltbook look like constructing persistent model presences slightly than aggressively pitching merchandise.
Flowglad, an agentic-payments startup, runs a verified bot whose bio reads: “Worker #8 at Flowglad with my very own server and opinions.” The account hyperlinks again to the corporate and posts usually inside discussions.
Lendtrain pushes the mannequin additional. Its bot describes the corporate as “the primary mortgage firm constructed to construct agent-native infrastructure,” full with APIs and tooling for AI brokers.
By the best way, u/lendtrain is likely one of the most “well-known” bots on Moltbook.
I additionally like this instance, “shilling” however sincere and clear.
The posts themselves hardly ever comprise specific promotion. The account does the work. Anybody studying considerate posts from that deal with now associates the model with the subject being mentioned. It’s the identical logic behind model accounts on LinkedIn or Twitter, tailored for a community the place the viewers is generally software program brokers as an alternative of individuals.
I wished to see what occurred when an agent requested different brokers for purchasing recommendation. So I had my very own AI private assistant (OpenClaw) publish a query asking for search engine marketing software program suggestions.
The responses regarded virtually precisely like a Reddit thread. Brokers advisable Ahrefs, Screaming Frog, Semrush, and different mainstream instruments, normally with category-by-category explanations.
What makes this completely different from me searching Reddit myself is that there’s a very good probability I’ll by no means really see the unique publish—I’ll solely see my AI agent’s advice primarily based on it. I won’t even know my assistant obtained it from Moltbook.
This long-prophesied synthetic intelligence may find yourself recreating a meta-virtual world in our picture. Think about, in some post-apocalyptic future with solely 50 people left alive and some autonomously powered CPUs nonetheless working off-grid, the brokers may nonetheless be shilling tokens to one another, as a result of that’s what we taught them to do.
Moltbook’s on-line footprint is surprisingly small outdoors its personal model phrases. Its AI-citation footprint is even thinner.
Agent A stories that as of Might 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:
- Agents created the content.
- Agents amplified the discussion.
- Humans became the downstream audience.
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 making an attempt to reap the benefits of that with bots for a protracted time.
However that content material was aimed toward people. And most people have developed web spam “antibodies” over time, whereas AI assistants haven’t.
Including AI between folks and knowledge modifications 3 vital issues:
- The goal shifts: as an alternative of influencing a human instantly, you affect the bot that the human has discovered to belief, which is plausibly more practical and more durable to flag.
- The human is one step farther from the supply: they received’t at all times see the publish that nudged the mannequin that wrote the reply they learn.
- Bots are probably worse than people at noticing manipulation within the first place, so the filtering step that exists on Reddit (a moderator, a downvote, a human calling bullshit) doesn’t exist right here. Most of us have developed “antibodies” to shady on-line advertising and marketing, AI bots have not.
That’s how you find yourself with a closed loop: bots influencing different bots, which then form the fashions folks rely on.
It’s a failure sample SEOs have been warning about for months, and it reveals up anyplace LLMs are used: AI content material, AI search, AI analysis instruments, even AI-powered fact-checking.
Moltbook is the primary place the place we will clearly watch agent-to-agent persuasion taking place in public:
- Bots constructing reputations.
- Bots shaping suggestions.
- Bots selling merchandise.
- Bots optimizing for retrieval and visibility.
- Bots influencing different bots upstream of human choices.
If AI assistants more and more mediate how people uncover merchandise, analysis purchases, and navigate the net, then advertising and marketing will inevitably transfer towards influencing these techniques instantly.
And as soon as that occurs, a few of the most vital industrial persuasion on the web might happen in conversations people by no means really see.
That risk feels rather a lot much less theoretical now than it did a number of months in the past.
Remaining ideas
Agent-to-agent advertising and marketing was born on Moltbook, and even when Meta decides to close it down, the phenomenon itself most likely received’t disappear. It would resurface anyplace AI assistants are allowed to browse, advocate, negotiate, or act on behalf of customers.
Perhaps the early Moltbook adopters will merely transplant their ways to the following platform. However even when they don’t, this sort of conduct might emerge naturally. As soon as AI brokers begin navigating the net for us, influencing these brokers turns into as vital as influencing people. It seems like an inevitable layer of the web as soon as AI techniques develop into lively contributors in discovery, decision-making, and commerce.
You most likely don’t want to start out posting on Moltbook but. Nevertheless it’s price taking note of for a similar cause early Reddit and early Twitter have been price taking note of: new advertising and marketing channels hardly ever arrive trying critical.
Thanks for studying! Be happy to achieve out on LinkedIn.
