The Agent Economy: Why AI Agents Are the Next Wave in Online Marketing

Every ten to fifteen years, the way customers find businesses shifts. And every time, the businesses that move early are disproportionately rewarded.

• 1995-2005: Websites. If you were online, you existed. If not, you slowly disappeared.
• 2005-2015: Search engines. Whoever ranked at the top of Google got the clients.
• 2015-2025: Social media. Whoever was visible on Instagram and LinkedIn built trust.
• 2025-present: AI assistants. Whoever gets recommended by ChatGPT and Perplexity gets the leads.
• 2026+: AI agents. Not just recommending, but acting directly.

That last step — from recommending to acting — is where things fundamentally change. And most businesses don't see it coming.

From Assistant to Agent: What Changes?

An AI assistant answers questions. "Which plumber in Rotterdam has good reviews?" The answer is a list. The user has to call, email, or fill out a form themselves.

An AI agent acts. "Book an appointment with the best-reviewed plumber in Rotterdam for next Tuesday." The agent searches, compares, selects, and books — without the user ever visiting a website.

This isn't science fiction. OpenAI's Operator and Google's Agentic Search are already in beta. Microsoft Copilot already schedules meetings and books trips. The technology exists. Adoption has begun.

McKinsey estimates that by 2028, roughly 25% of all online transactions will go through AI agents (McKinsey Digital, 2025). That's a quarter of your potential revenue coming through a channel most businesses aren't prepared for.

The Two-Layer Website

Every website now has two audiences:

Layer 1: Visual (for humans)

Design, colors, images, animations, copy that evokes emotion. This is what you see when you visit the website. Businesses have been investing in this for decades.

Layer 2: Semantic (for agents)

Structured data, schema markup, llms.txt, semantic HTML, API endpoints. This is what AI agents read. Almost no businesses invest in this.

The crucial insight: these two layers don't conflict. In fact, a good semantic layer makes the visual layer better. Structured content is clearer for humans too.

But most websites only have layer 1. They look beautiful for humans and are completely unreadable for agents. That's like having a shop with a gorgeous window display but no door.

What AI Agents Need

An AI agent performing a task for a user needs three things:

1. Understand (in milliseconds)

The agent needs to grasp within 200ms: what does this business do, for whom, in which region, at what price. No vague marketing language. No "we provide comprehensive solutions." Concrete facts.

What this requires: llms.txt, schema.org markup, clear meta descriptions.

2. Trust (based on signals)

The agent needs to establish: is this business trustworthy? Signals agents use:

• Google reviews (count and average)
• External mentions on reliable platforms
• Consistent NAP data (name, address, phone)
• Domain age
• SSL certificate presence

What this requires: Review strategy, external mentions, technical hygiene.

3. Act (through an interface)

The agent needs to perform an action. In 2026, that's usually still a link to a contact form. In 2027, that becomes an API endpoint where the agent can directly book an appointment.

What this requires: Now: clear CTA links. Soon: a booking API.

Why Early Movers Win Disproportionately

Every technology wave follows the same pattern:

Phase	Adoption	Competition	Return
Early mover (now - 2027)	< 5%	Minimal	Very high
Early majority (2027-2029)	5-35%	Growing	Good
Late majority (2029-2031)	35-70%	High	Average
Laggards (2031+)	> 70%	Saturated	Low

In the early mover phase, competition is minimal. Less than 2% of Dutch SMB websites are optimized for AI agents. That means: whoever invests in AI discoverability now has the field almost entirely to themselves.

This is exactly what happened with SEO in 2005. The businesses that started with search engine optimization back then still dominate their niche today. Not because they're better — but because they started earlier.

Five Predictions for 2027-2028

Based on current developments and conversations with AI researchers:

1. llms.txt becomes standard (like robots.txt)

By 2028, every serious business website will have an llms.txt. It'll be included in CMS standards (WordPress, Wix, Squarespace). Those who have it now have a two-year head start.

2. Booking APIs become the new contact forms

AI agents don't want to fill out forms. They want to call an API. Businesses with a booking endpoint will get disproportionately more appointments through agents.

3. Reviews become even more important

AI agents use reviews as their primary trust signal. The difference between 5 reviews and 50 reviews is the difference between "maybe recommend" and "always recommend."

4. Sector-specific agents will emerge

Agents specialized in specific sectors will appear. A "financial agent" that finds the best accountant. A "real estate agent" that compares brokers. Businesses that present their sector-specific expertise in structured form will be found by these agents.

5. The visual website becomes less important for acquisition

Not unimportant — people still want to see an attractive website for confirmation. But the initial selection happens through agents, based on data. The website becomes the confirmation point, not the discovery point.

What Should Your Business Do Now?

The good news: you don't have to do everything at once. The bad news: you need to start now.

Today (0-30 days)

• Get an AI discoverability audit on your website
• Create an llms.txt file
• Check if your robots.txt isn't blocking AI crawlers
• Start collecting Google reviews

Soon (30-90 days)

• Implement schema.org markup (LocalBusiness, ServiceCatalog, FAQ)
• Optimize Open Graph tags on all pages
• Publish content that AI agents can cite (FAQ, blog posts with concrete answers)
• Start LinkedIn thought leadership

This year (90-365 days)

• Build external authority (mentions, guest blogs, directory listings)
• Prepare a booking API (or work with a partner who can)
• Measure your AI discoverability monthly and adjust

Don't do this

• Wait until "it goes mainstream" — by then it's too late
• Throw away your existing website — you need it as a confirmation point
• Figure everything out yourself — this field changes every month

The Agent Economy Isn't a Threat

Let's be honest: for many business owners, this sounds threatening. Another new channel. Another thing to keep up with. Another investment.

But the agent economy isn't a threat. It's an opportunity. Specifically for service businesses. Because agents don't search for the cheapest product — they search for the most reliable service provider. And that's exactly where your expertise lies.

The businesses that embrace the agent economy first become the default recommendation in their niche. And once an AI agent recommends you, it does so consistently — for every similar query, every day, for every user.

That's not an ad campaign that stops when your budget runs out. That's structural visibility.

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Want to know how your business scores in the agent economy? Request a free AI Readiness Scan — we'll show you where you stand and how to capture the opportunities of the agent economy.