Are Marketers Ready for the Agentic Web?
The agentic web is one of the biggest marketing buzzwords of 2026. In a nutshell, the agentic web is a future where AI agents use the internet to interact with websites, content, and apps to carry out tasks on behalf of humans, like booking flights and making dinner reservations.
As of 2026, bots make up about 57% of all web traffic and roughly 6% of that comes from AI agents specifically. So naturally, marketers are starting to ask: Is it only a matter of time before we start marketing to AI agents instead of humans?
That might sound futuristic, but the recent boom in personal agents, like Meta’s Muse and Grok Bot, makes it feel a little less hypothetical.
But there’s a catch...
Just as fast as these agents have taken off, major companies, including Amazon, JPMorgan Chase, and Delta Air Lines, have begun blocking them. It turns out there are a lot of challenges standing in the way of the agentic web becoming the new norm, and marketers should know about them.
AI Agents vs. Personal Agents
But before we get into all that, let’s quickly clarify what AI agents actually are and how personal agents like Muse are different.
Contrary to the hype, AI agents aren’t these standalone bots you create that magically buzz around doing things for you like a glowed-up Clippy. In simplest terms, an AI agent is an LLM connected to outside tools and platforms, with instructions to carry out a task. So, if you have Claude and you’re building AI agents with it, those agents are all just tentacles rooted in your instance of Claude, which is the engine.
For the past few years, people have used automation tools like n8n or Make to build agents. But this approach can be complicated, fragile, and clunky, all things that prevent the average joe from adopting them.
Then Meta’s Muse showed up, quickly becoming the most widely-adopted consumer agent in the game. What makes Muse and personal agents like it so special is that you don’t have to build anything from scratch. You just give it access to your tools and platforms, tell it what you want, and it does it, using its own virtual computer in the cloud.
While downloads of Muse have soared past 10 million, day-to-day usage remains comparatively low, suggesting people are curious but cautious. For the less cautious, horror stories are piling up fast around personal agents. Like the startup founder whose Grok Bot shared his personal banking information in his company’s Slack. Or the guy whose Muse shared his home address with a stranger on Facebook Marketplace, who then showed up at his door.
The 4 Roadblocks to the Agentic Web
Those incidents, along with the usual reports of deleted files and erroneous purchases, have inspired a growing list of platforms to block AI agents. But the resistance goes a lot deeper than that. I see four major roadblocks to making the promised agentic web a reality.
Roadblock 1: Security
When an AI agent visits a website, how can the platform verify who authorized it and whether it’s legit?
There’s no universal standard for identifying agents and tying them back to their owners or intent. Frameworks like Know Your Agent (KYA) are trying to address the problem, but verifying an agent’s identity is only the starting point. Websites still need to set and enforce their own permissions, while protecting against agents from being manipulated into taking unwanted actions.
Without those safeguards, agents could cause a lot of damage for both their owners and the vendor. For many platforms, blocking agents might be easier than dealing with the headache of figuring out how to vet and verify them, especially given how unreliable they can be.
Despite the recent headlines about “rogue agents” wreaking havoc on the web, the truth is they never went rogue at all. Instead, these issues were the result of weak security safeguards, which goes to show how serious this roadblock actually is.
Roadblock 2: Accountability and Control
When an agent screws up, who’s responsible? If it buys the wrong product or takes unwanted actions, is that on the user, the agent’s developer, or the platform that let it in?
Right now, that accountability is like a hot potato getting tossed around in circles.
Businesses need more than a vague promise that an AI will behave as intended. They need clear lines of responsibility, auditable actions, enforceable permissions, and safeguards for consequential decisions.
That’s especially important in finance and healthcare, where mistakes can have serious consequences. Until businesses can manage these risks, giving autonomous agents access to sensitive systems is a tough sell.
Roadblock 3: Economics and Incentives
Ah, money - the source of everyone’s problems!
Much of the internet runs on advertising and sponsorships, which require real human eyes and ears to absorb them. But when an agent use the web on your behalf, it bypasses all that.
That creates a fundamental conflict. Agents promise to find consumers the best options and information, while platforms have their own commercial interests to protect. Retailers and publishers need a real good reason to let agents access their offerings and transactions, especially when doing so could undermine their existing business models.
If you want to send an agent to my website, you can just pay me in cookies. The kind you eat…not the kind that tracks your data. I already have plenty of those. New ways to monetize agentic commerce may emerge, but until the economics make sense for both sides, many platforms have little incentive to open the doors.
We’re already seeing Meta cut deals with retailers like Walmart and Best Buy to play nice with Muse, but who knows how many other players will get onboard. Even with those deals in place, there are still reports of agents running into issues, so there’s a lot of work still needed here.
Roadblock 4: Interoperability and Reliability
Finally, there’s the technical challenge of getting agents to work reliably across a fragmented internet. Websites use different interfaces, authentication systems, APIs, and payment processes. An agent that plays nice with one website might fail on the next.
Making agents useful at scale requires more reliable ways for them to interact with different systems, recover from errors, and confirm that actions were completed correctly. Better models alone won’t solve that problem. The infrastructure needs to catch up, too.
Even if all this stuff gets solved, some platforms might still block third-party agents in favor of their own or make their most sensitive functions and data inaccessible to agents period, which, for a lot of use cases, kind of defeats the purpose.
Will We Be Marketing to AI Agents?
So, this takes us back to the earlier question: are we going to be marketing to AI agents anytime soon?
For starters, I don’t believe you can market to anything that’s not alive and conscious. So, “marketing to agents” sounds more like the title of a session at an overpriced business conference than a serious practice.
But what you can do is make your website and content accessible to and considerate of agents, and the LLMs they’re built on.
People are already using AI and agents to research and validate businesses and their offerings. There’s no disputing that - it’s happening right now.
So, instead of worrying about a speculative tomorrow, focus on what you can control today: solid SEO, genuinely helpful content, and managing your online reputation. Make it easy for people and AI systems to understand what you do and why they should choose you.
And pay attention to how AI is already influencing your business to the best of your ability. Monitor referral traffic where you can, track conversions, and ask prospects, leads and customers how they found you.
Do these things, and you’re in a strong position whether the full vision of the agentic web arrives or not.
The idea of the agentic web might sound exciting in theory. I mean, who wouldn’t want to save time and cut through some of the internet’s nonsense?
But there are still major wrinkles to iron out and it’s not our job as marketers to solve them. So keep an eye on where things are headed. But optimize for what’s already here.
