Agentic Search Is About to Start Booking Your Customers’ Appointments. Are You Ready?

AI agents are moving from answering questions to taking action. Here’s what that means for pest control and lawn care companies, and what to fix before a homeowner’s agent skips you.

Five Years Ago Versus Today

Five years ago, if you’d told a pest control or lawn care owner that a homeowner would say “find me someone to deal with the ants in my kitchen this week” to their phone and just have it handled, with no company names compared, no calls made, and no Google results scrolled, it would have sounded like science fiction. In 2021, “Hey Siri” could set a timer and tell you the weather. ChatGPT didn’t exist yet. It launched in November 2022.

That’s no longer far-fetched. Parts of it are already live.

At Google I/O in May, Google said it’s expanding agentic booking in Search to local services like home repair, including the ability to “call businesses on your behalf” in select categories. It also said AI Mode has passed one billion monthly users, with queries more than doubling every quarter since launch. In September, Meta launched Muse, a personal AI agent that can book travel, fill out forms, negotiate bills, and make purchases. And on October 1, IBM announced a self-hosted version of Bob, its AI agent for software development.

Here’s how fast the ground moved:

The last column is our read, not a forecast from any of the companies named in this post. We’ll come back to it at the end.

What Agentic Search Actually Means

Agentic search is different from the AI Overviews you’ve probably noticed at the top of Google. An AI Overview summarizes information for a person to read and decide on. Agentic search goes further. Semrush defines it as “AI that retrieves, evaluates, and acts on information on behalf of users.” The AI researches, compares, and sometimes acts, and the person may only step in to confirm the result, or not at all.

Think of it as three levels:

1. A search engine hands you a stack of folders.
2. An AI answer reads the folders and hands you a summary.
3. An agent reads the folders, picks the best one, and dials the phone.

This is moving fast. Semrush reports that agentic web traffic grew more than 1,300% in the first eight months of 2025, and it cites research from Google showing that AI agents take an average of 4.9 steps per query. Those steps matter because the agent is checking more than your top-ranked page. Backlinko’s breakdown notes that agents pull from your website, review platforms, community discussions like Reddit, and editorial content at the same time.

Assistants, Answer Engines, and Agents: What’s the Difference?

These three terms get used interchangeably, and they shouldn’t be. The easiest way to tell them apart is to ask who does the work after the AI responds.

The lines blur. Some assistants now include agent features, and the companies behind them keep adding more. For this post, we call something an agent when it can take action for a person, not just answer. That’s our working definition, not an industry standard.

The Assistants and Answer Engines Homeowners Already Use

These are the tools a homeowner is most likely to open today. They don’t book anything on their own yet, but they do decide which businesses get named. The source details below come from a third-party analysis by Arfadia, so treat them as directional.

Meet the Agents: Google, Meta Muse, and IBM Bob

Here are the agents worth knowing, meaning the tools that take action instead of just answering, and why each one matters to a company that treats lawns or pests.

Google: Agents Inside the Search Box

At I/O, Google announced that Search is getting agents that work in the background. Its “information agents” monitor the web continuously and send updates with links to take action, launching first for Google AI Pro and Ultra subscribers. Google’s own example was apartment hunting. A homeowner watching for an opening with a well-reviewed lawn company works the same way.

The bigger deal for service businesses is booking. Google said it’s expanding agentic booking to local services like home repair, with the ability to ask Google to call businesses on your behalf for select categories. Google hasn’t said which categories are included, so we don’t know yet whether pest control or lawn care is on the list. We’d plan as if they will be.

Meta Muse: The Errand-Running Agent

Muse launched in the US in September on iOS, Android, and the web. Meta’s announcement says it can send emails, book travel, open a browser, fill out forms, negotiate on a user’s behalf, and process payments through Link, Stripe’s wallet. TechCrunch’s coverage adds scheduling and bill negotiation. Muse runs on its own dedicated cloud computer, which Meta calls Muse Secure VM (VM stands for virtual machine), and a separate “Sentinel” agent runs alongside it as a gatekeeper that approves what reaches the internet. It keeps working after you close the app.

Muse isn’t built to book a mosquito treatment today. But a homeowner who trusts an agent to book a flight and negotiate a phone bill will trust it to book a lawn treatment. That’s our read, and it’s a short step.

IBM Bob: The Same Shift on the Business Side

IBM announced Bob on April 28 as an “AI development partner” for enterprise software teams. It handles work across the software development lifecycle (planning, coding, testing, deployment, and modernizing old systems), sends simpler tasks to lighter models and harder ones to more capable models, and lets teams set human approval checkpoints “from manual approvals to auto-approve by task type.” On October 1, IBM launched a self-hosted version aimed at banks, insurers, and government agencies that need their code and data to stay in-house. IBM says more than 80,000 of its own employees use Bob and that surveyed users report an average 45% productivity gain.

Bob won’t book anything for a homeowner. We include it for two reasons:

• Agents are becoming normal across business software. The website platforms, customer relationship management (CRM) systems, and booking tools your vendors ship are increasingly built and maintained with agents. IBM hasn’t said that about your vendors specifically, but it’s where the industry is heading.
• Bob’s approval dial previews how homeowner agents will likely work. Some will ask before booking. Some will just book. If an agent asks the homeowner to confirm, you need to look trustworthy on a quick check. If it books on its own, you needed to pass the filter before anyone looked. That’s our expectation, not something any vendor has announced.

What Homeowners Are Already Doing

BrightLocal’s 2026 Local Consumer Review Survey is the clearest look at consumer behavior we’ve found. It’s self-reported, so it doesn’t mean 45% of service calls start in a chatbot, but the direction is hard to ignore.

BrightLocal also found AI tools are now the third most popular source for business recommendations, behind Google and Facebook, and that 42% of consumers trust AI platforms as much as traditional reviews. Put the star-rating jump next to the AI summaries and you get a simple takeaway: your reviews are being read twice, once by people and once by machines that summarize them.

Why Pest Control and Lawn Care Will Feel This Early

Home services are close to a perfect fit for what these agents are built to do:

• Local. “Near me” is built into the request.
• Recurring. Quarterly pest treatments and seasonal lawn programs are exactly the kind of thing people want handled for them.
• Seasonal and urgent. “I have ants.” “Mosquitoes are ruining the cookout.” “My lawn needs its first spring treatment.” Nobody wants to spend an hour comparing five companies for any of those.
• Trust-heavy. Strangers are coming to the house and the yard, so ratings and reviews carry weight.
• Easy to compare. Services look similar on paper, which means measurable tie-breakers like reviews and price decide the winner. Agents love tie-breakers they can measure.

That cuts both ways. If your business has a strong reputation and a clean digital footprint, you’re an easy candidate for an agent to recommend. If your Google Business Profile is thin, your reviews are stale, or your name and address don’t match across the web, you’re not just ranking lower. You may never be evaluated at all.

What an Agent Might Check Before It Picks You

Here’s a simplified illustration. It isn’t the documented behavior of any one product, but it matches how these tools are described:

1. Understand the request. “Ants in the kitchen, this week, good reviews, not crazy expensive.”
2. Pull candidates. Find companies near the homeowner’s address from maps and search data.
3. Screen. Check ratings, review counts, and how recent the reviews are.
4. Read. Look at your site for services, service areas, pricing signals, and availability, then cross-check it against your listings and reviews.
5. Shortlist. Often a very short list.
6. Act or ask. Call, book, or ask the homeowner to approve.

Every step is a place to get dropped. Steps 3 and 4 are the ones you control the most.

How the Major Agents Pick a Local Business

Each platform draws from different sources. The figures below come from a third-party analysis by Arfadia, not from the platforms themselves, so read them as directional rather than exact.

If those numbers are even close, roughly 99 out of 100 locations don’t get named in a typical ChatGPT answer. Across all three platforms, the same signals keep showing up:

• Consistent name, address, and phone information everywhere you’re listed
• Review volume, quality, and recency
• Services, prices, service areas, and booking options in plain, readable text on your site
• Accurate structured data (see Google’s view on that below)

The Real Risk Is Disappearing, Not Ranking Lower

In traditional SEO, a weaker web presence usually means you show up on page two instead of page one. A person could still scroll down and find you. With agents, a business that doesn’t clear the trust bar isn’t ranked lower. It’s left out before the homeowner sees a list.

Google’s agentic booking feature, the one that calls businesses on a customer’s behalf, only works if the agent trusted your listing enough to pick up the phone for you in the first place.

This is why we think of it as two jobs. Being found by a person and being chosen by an agent used to be nearly the same job. They’re drifting apart.

What Google Actually Says to Do

With this much hype around answer engine optimization (AEO) and generative engine optimization (GEO), Google’s own guidance is the best reality check. In May 2026, Google published “Optimizing your website for generative AI features on Google Search.” The core message: “The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems.” Google treats optimizing for AI search as part of optimizing for the search experience, which makes it SEO, not a separate discipline.

Google also added a Search Console control that lets sites opt out of generative AI features. Opting out means no traffic or impressions from those features, though it doesn’t affect traditional rankings. For a local service company, opting out makes little sense, but it’s good to know the control exists.

Your Agent-Readiness Checklist

None of this requires reinventing your marketing. It means taking the fundamentals more seriously than ever, because machines are now reading them first. Items marked (web team) may need developer help.

Listings and Reviews

• Google Business Profile is completely filled out: primary and secondary categories, services, service areas, hours, photos, and a plain-language description.
• New reviews come in every month, not in bursts, and every review gets a reply.
• Your name, address, and phone number match exactly on your website, Google, Yelp, Bing Places, and every directory you pay for.
• Your Yelp and Bing Places listings are claimed and current. One analysis found Perplexity leans on Yelp and ChatGPT leans on Bing.

Website

• Services, service areas, and pricing (or realistic ranges) are written in plain text on the page, not buried in PDFs, images, or pop-ups. (web team)
• Each service area has its own page with real local detail, not one generic “we serve the metro area” page. HubSpot’s small business GEO guide makes the same recommendation.
• Booking and contact options work through plain links and forms that a machine can find. (web team)
• LocalBusiness and Service structured data is accurate and matches your listings. Treat it as good hygiene, not a magic switch. (web team)
• Your content answers real homeowner questions with firsthand detail.

Phone and Speed

• Someone, or something, answers the phone and replies to messages fast. If an agent calls or messages on a homeowner’s behalf, a missed call can be a missed job. That’s our read of where this is going.

Measurement

• You check the generative AI performance report in Search Console every month.
• Once a month, you ask ChatGPT, Gemini, Perplexity, and Google’s AI Mode the questions your customers ask (“best pest control near [city] for ants,” “lawn care company that does aeration in [city]”) and note whether you show up, how you’re described, and what’s wrong.

Looking Ahead: The Next 5 Years

Five years ago, an AI agent calling a pest control company to book an appointment for a homeowner wasn’t something most people would have predicted. Today, Google is building that into Search, Meta shipped a consumer agent that handles bookings and purchases, and IBM is selling an agent that writes and tests software with a human approving the risky parts. Nobody is being subtle about where this is headed.

So what do the next five years look like? This part is our best guess, not a forecast from any company. Here’s what we expect to see:

• The household agent. It doesn’t just book a one-time treatment. It manages the home’s pest and lawn schedule year-round. It knows the lot size, the treatment history, and when the warranty window ends. It flags when it’s time for a spring treatment based on local weather and pest pressure, compares renewal pricing across providers, and rebooks a visit that got skipped.
• The autonomy dial. Following the Bob model, homeowners set how much freedom their agent has. Some want a text before anything gets booked. Others say “just handle it.” Businesses will need to look right both ways: convincing to a human on a quick check, and clean enough to pass an agent’s filter on its own.
• Track record becomes a signal. If an agent booked you last season and the visit went well, it has a reason to book you again. Reliability, on-time arrivals, and how you handle problems start to matter to machines as much as to people.
• Open questions. Who’s responsible when an agent books the wrong service? How will businesses see agent traffic in their reporting? Will platforms let companies pay to be preferred? Nobody knows yet, and anyone who says otherwise is guessing.

What doesn’t change is the work itself. Agents read what customers say after the job, so doing the job well is still the best marketing there is.

None of this needs technology that doesn’t already exist in some form. It needs the pieces we’re watching now to connect. The businesses best positioned for that aren’t the ones scrambling when it arrives. They’re the ones getting their reviews, their listings, and their website fundamentals in order now, while it’s still showing up in bits and pieces.

Being found by a person and being chosen by an agent are becoming two different jobs. The good news is that most of the work for the second one helps with the first.

Frequently Asked Questions

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