The Google Gold Rush Is Ending. Here’s What Comes Next.

For about 20 years, Google was the gold rush for home service businesses. It made millionaires, and in a few cases billionaires, out of companies that learned to dominate local search.

I lived that playbook. In 2018, I helped take a home service business from $3 million to $5 million in 24 months using it, and we eventually sold to private equity for a high seven-figure number.

That gold rush is ending. But a new one is starting, built on AI search and AI agents. The businesses that see the shift early have a massive opportunity.

In this post, I’ll walk through what’s ending, how AI now chooses which businesses to recommend, and the two things you need to build right now to get ahead of your competition.

The Google gold rush and its monopoly board

For two decades, Google connected local demand directly to local companies. If you could own Google, you owned the market.

Take Tommy Mello of A1 Garage Door Service, who recently sold his home service business for a reported $2 billion. Listen to any of his interviews and you’ll hear the same advice: dominate the Monopoly board of Google. Build your Google Business Profile, get reviews, run Local Services Ads.

It made sense. According to BrightLocal, a local search research firm, 87% of consumers used Google to evaluate local businesses in 2022, up from 81% the year before. If that many homeowners go to Google to find a home service business, you need to be on Google.

Type “HVAC repair near me” into the old Google and you’d see four squares on the board:

1. Local Services Ads (LSAs). The top of the page.
2. Google Search Ads. Paid placements just below.
3. Off-site SEO. Your Google Business Profile and the map pack.
4. On-site SEO. Service area pages and blog posts.

Every marketing agency and service business ran the same plan. Get more reviews. Use those reviews to win LSAs. Use the revenue to fund search ads. Hire an SEO company to publish keyword-stuffed content so you show up in organic results.

Agencies packaged it neatly: 50 city pages, four keyword-heavy blog posts a month, backlinks, Google Business Profile optimization, review generation, plus LSA and Google Ads management.

Sound familiar? That’s the playbook for local service businesses. And it’s dying.

What changed: the goal is no longer the click

Google killed the old playbook itself. Facing competition from ChatGPT and Claude, Google made its biggest change in 25 years: searches increasingly route people into AI Mode instead of the familiar page of ads, maps, and links.

AI Mode is a different world. Google isn’t dying, and SEO isn’t dead. But the Monopoly board is. In AI Mode, the AI does the research and makes the recommendation.

Here’s what happens when a homeowner searches now:

• The AI pulls from Instagram, YouTube, your website, your blog, and your reviews.
• It compares the options.
• It recommends a business.
• With agents, it can visit your website, fill out your contact form, and even book an appointment through your online booking link.

All of that happens without the homeowner ever leaving the AI.

Zero-click searches tell the same story. Three years ago, roughly 54% of searches ended without a click. Then it was 58%. In 2026, it’s around 68%. Platforms want to keep people on the platform and be the answer, not send them to your website.

So the game isn’t about getting clicks anymore. It’s about being the recommendation, because more and more of the work is done by the homeowner’s AI assistant on their behalf.

What Google itself says to do

Google had to answer the obvious question: does SEO still matter in AI search? On Google Search Central, its guidance on optimizing for generative AI says, in short, yes. But one recommendation is singled out as more important than any other in the guide: create content people find unique, compelling, and useful.

Two parts of that guidance change the playbook.

1. Create non-commodity content. Google contrasts commodity content, like “seven tips for first-time home buyers,” which is common knowledge anyone could write, with non-commodity content that shares real expert experience, like a firsthand look inside a sewer line inspection. Generic blog posts don’t cut it anymore.

2. Add high-quality images and video. This is the part most people miss. Google notes that its AI search features can surface relevant images and videos, which means more ways for your business to appear beyond a plain webpage link.

Under the old playbook, nobody in home services cared much about social video. Customers were on Google, not watching our content. Now the photos and videos you publish, on your site and off it, are raw material the AI draws from when it decides who to recommend.

From rankings to recommendations

Checkbox SEO is over. Blogs to stay relevant, a “Happy Earth Day” post, a stack of service area pages: checking the boxes doesn’t win anymore.

Reviews, Google Business Profiles, service pages, city pages, and blogs still matter. But how you do them matters more than whether you do them.

And the answer to AI is not more AI content. Google published its guidance because everyone started asking ChatGPT or Gemini to write SEO blog posts. If anyone can launch a site tomorrow with flawless keyword optimization, keywords stop being the differentiator. Real stories are. Real authority is. A whole ecosystem of genuine images, videos, and website content is.

The new scoreboard

The old question was: where do I rank? You’d type in your keywords and see where you showed up.

The new question is: when someone asks AI who to hire, are we recommended?

That can feel like black magic to track. The good news is there’s a new scoreboard with two numbers:

• Share of voice: how often content you created, such as videos, blog posts, and images, shows up in relevant AI conversations.
• Mention rate: how often AI actually names you as the company to hire when someone needs your service.

They’re different. Share of voice means the AI is drawing on your information. Mention rate means it trusts you enough to recommend you.

What it looks like in practice

One of our clients does gutter cleaning in Charlottesville, Virginia. In our AI visibility tracker, a neutral search for gutter cleaning in Charlottesville returns a response that recommends them by name, links their Yelp profile, and cites content they created.

Why use a tracker instead of just asking ChatGPT yourself? Because your ChatGPT, Claude, or Gemini is personalized to you. A neutral tracker shows what an ordinary homeowner in that area would see.

People also don’t search in keywords anymore. They have conversations. A property manager might ask, “I manage a rental property in Charlottesville and need a reliable gutter repair company. What should I look for?” In that result, our client appears as a recommended local option, with the AI linking out to Yelp and to the company’s own website.

That’s share of voice and mention rate working together: the AI is pulling in your content and pointing homeowners to you.

Your moat is real evidence

If everyone can generate the same content, what makes yours unique? Real evidence from your business. You already have more of it than you think:

• Reviews, and your responses to them.
• Job photos, sitting in CompanyCam, your CRM, a camera roll, or a Google Drive folder.
• Technician stories. When I had 28 technicians, I could barely get them to call when they were running late, let alone send stories and photos. But the stories are in their heads, and in yours as the owner.
• Real customer questions that come in on the phones every day.
• Photos and videos from all over your operation.
• Community ties: local sponsorships and relationships.

Under the old playbook, you never had to talk about any of this. You could manipulate signals and track rankings. Now AI platforms are looking for trustworthy, real material, and this is how you earn their trust.

Stop manufacturing signals. Start documenting evidence.

Every platform shift rewards first movers

We’ve seen this before. When Google arrived, businesses named themselves “AAA Carpet Cleaners” to top the Yellow Pages and insisted nobody would find a plumber on the internet. Then came Google Search, Google Ads, and the gold rush.

Today people say older homeowners will never use AI Mode or agents. But Google is steadily herding users into it, rolling out features gradually so people feel comfortable. And the “there are no ads in AI” argument is fading too, as ads begin appearing inside AI Mode and agents.

The old playbook ran for 20 years. A new one is starting now. You can stay on the old train, or get on the new one.

Edge 1: Create non-commodity content at scale

Legacy companies will keep saying, “Our customers aren’t on social. They go to Google, read reviews, and click ads.” While they say that, you build trust with real content.

The hard question is how. Every business should be asking its marketing company, or itself, how to create non-commodity content at scale. As a home service marketing agency that isn’t on the ground with our clients, we had to answer it ourselves. Here’s our approach.

Build a knowledge base from six sources:

1. CSR call stories, captured through call recordings and transcripts (we already use call tracking for ads).
2. Sales call stories, if you record your sales calls.
3. SOPs and brand docs.
4. Website content, which works well as a knowledge layer.
5. YouTube and other published content.
6. Reviews, or what customers say about working with you.

Then let an agent turn it into content:

1. The agent pulls in call recordings and transcripts.
2. It identifies the top questions customers are asking, for example, “Ten people asked this, and we’ve never addressed it online.”
3. It answers those questions using real stories from the knowledge base.
4. It produces video hooks, social posts, and website content automatically.

You can do a manual version of this today. Record your calls, pull out the questions, add real stories from your business, and turn them into content. That’s non-commodity content at scale.

Is your marketing company doing this for you? If not, ask them, and send them this post.

Edge 2: Build a knowledge base and get ready for agents

Today, you want AI platforms to recommend you and take actions on your website on the homeowner’s behalf. But I believe the next step is agent-to-agent communication: a homeowner’s personal AI assistant talking directly to your business’s agent.

Picture a missing package. Your personal agent checks with Target’s agent and UPS’s agent, figures out what happened, and reports back. I expect most businesses to have some kind of agent within two to three years.

To get there, you need a knowledge base. Start now:

• Collect the six sources above in one place.
• Document how you work: your services, processes, and proof.
• Record your specifics. The neighborhoods you serve, the work you specialize in, the brands you’re certified for. If you’re a Trane dealer, say so. An AI can only recommend you as a Trane specialist if you’ve documented that you work on Trane systems.
• Set up online booking. AI agents can already fill out forms and book appointments on websites. Make it easy for them to book with you.
• Use an agent to create content with the system described above.

The wrapper is changing. The old wrapper: run ads, do SEO, game Google, win. The new wrapper: be the recommendation, build a knowledge base, and deploy your own agent on top of it.

Old playbook vs. new playbook

Old playbook	New playbook
Dominate the Google Monopoly board	Be recommended in AI Mode
Run paid ads and do SEO	Be the recommendation
Checkbox SEO (“Happy Earth Day” posts)	A real content ecosystem
“Where do we rank?”	“Are we the recommendation?”
Manufactured signals	Documented evidence
Website + ads	Knowledge base + your own agent

Your checklist for the AI gold rush

1. Keep the board. Reviews, your Google Business Profile, content, and ads still matter. But real, non-commodity work matters more than ever, and AI slop won’t help you.
2. Create real content homeowners and AI trust. Use real customer questions and real stories from your business.
3. Track AI visibility. Measure share of voice and mention rate so you know whether the first two steps are working.
4. Build a knowledge base about your business. A digital brain you can use everywhere: to plan ads (“What do customers say about this?”), write newsletters, or onboard a new employee.
5. Get an agent of your own. Move first. The land grab is on now.

The fear is the same as the early internet, and so is the opportunity on the other side. Google and Meta are rolling out agents and new AI platforms right now, and the businesses that move first will own the next 20 years.

Want help making the shift? That’s exactly why we built Phlash Consulting. We’ll walk you through our full system for preparing home service businesses for AI search, including the content agent described above. Book a walkthrough.