Google’s AI “Get Prices” Feature: What Service Businesses Need to Know (And Do) in the Next 30 Days

The Change That Happened While You Weren’t Looking

Your competitors are getting leads while you sleep. Not because they’re better at what they do. Not because they spend more on ads.

Because Google’s AI can find them. And it can’t find you.

On January 15, 2025, Google quietly rolled out a feature that’s about to reshape how 67 million people find service providers. It’s called “AI Get Prices,” and if you haven’t heard about it yet, you’re already behind.

Here’s what’s happening: When someone searches for a service provider, Google’s AI now pulls pricing information directly from your website and Google Business Profile. It compares you against your competitors. Then it sends the customer a detailed comparison via email or text.

All without you knowing a single thing about it.

Right now, this feature is live for plumbers in major metro areas. Within 60 days, it’s expanding to HVAC, electrical, landscaping, and every other home service category. By Q2 2025, expect to see it roll out to professional services like law firms, medical practices, and financial advisors.

The businesses that understand what’s happening and adapt in the next 30 days will dominate their markets for the next five years.

The ones that wait will spend 2025 asking “Where did our leads go?”

Let me show you exactly what’s changing and what you need to do about it.

What’s Actually Happening: Google’s AI “Get Prices” Explained

Let’s walk through the user experience so you understand what your potential customers are seeing.

Step 1: The Search
Someone searches “plumbers near me” or “emergency plumber Atlanta.”

Step 2: The Map Pack
Google shows the standard local map pack with business listings. But now there’s a new button at the bottom: “Have AI get prices.”

Step 3: The AI Takes Over
When the user clicks that button, they see a simple interface asking them to specify what service they need. Options might include:

• Drain cleaning
• Plumbing service
• Water heater repair
• Emergency plumbing

Step 4: The AI Calls (Or Emails)
Google’s AI reaches out to the service providers listed in the map pack. It doesn’t actually call you. Instead, it scrapes pricing information from:

• Your website (service pages, pricing pages, FAQ sections)
• Your Google Business Profile (posts, service descriptions, attributes)
• Structured data markup (schema.org pricing information)

Step 5: The Comparison
The AI compiles the pricing information and sends the customer a comparison via text or email. The comparison includes:

• Service provider names
• Estimated pricing ranges
• Availability
• Reviews and ratings
• Direct booking links

Step 6: The Decision
The customer makes a decision based on the AI’s recommendation. They either click to call, book directly, or move on to the next option.

Here’s the brutal reality: If your pricing isn’t visible and structured in a way that AI can parse, you’re not included in the comparison.

No comparison = no consideration = no leads.

Why This Matters More Than You Think

Most service business owners I talk to have the same reaction: “We can’t post our pricing online. Every job is different.”

I get it. You’re worried about:

• Competitors stealing your pricing strategy
• Getting shopped on price alone
• Looking too expensive (or too cheap)
• Customers not understanding the complexity of your work

Valid concerns. But here’s what you’re missing:

AI doesn’t care about your concerns. It cares about data it can process.

Think about what happened with Google Merchant Center for e-commerce businesses. When Google Shopping launched, product-based businesses had the same fears:

• “If I show my prices, Amazon will undercut me”
• “Customers will just price-shop”
• “My products are premium, I can’t compete on price”

The businesses that adapted and uploaded their product catalogs to Merchant Center saw 300-500% increases in qualified traffic. The ones that resisted? They’re not in business anymore.

This is the same shift, but for services.

Google is building a Merchant Center for service businesses. The AI “Get Prices” feature is version 1.0. Here’s what’s coming:

• Real-time availability scheduling (book appointments directly through AI)
• Service package comparisons (bronze/silver/gold tiers compared across providers)
• Qualification questions (AI pre-qualifies leads before sending them to you)
• Dynamic pricing (AI suggests optimal pricing based on demand, competition, season)

The businesses that get ahead of this curve will have a 2-3 year head start on their competition. By the time everyone else figures it out, you’ll already own the top AI recommendations in your market.

The Death of Traditional SEO (And What’s Replacing It)

Let’s talk about what’s really changing here. This isn’t just a new Google feature. It’s a fundamental shift in how search works.

Traditional SEO was about ranking for keywords.
You optimized your website to show up on page 1 of Google when someone searched “emergency plumber Atlanta.” You competed on:

• Keyword density
• Backlinks
• Domain authority
• Page load speed
• Mobile optimization

Answer Engine Optimization is about being the answer AI recommends.
You optimize your website to be parseable by AI. You compete on:

• Structured data (schema markup)
• Answer-optimized content (direct answers to specific questions)
• Authority signals (reviews, citations, consistency)
• Conversation-ready information (prices, availability, booking options)
• Trust signals (credentials, certifications, compliance)

Here’s the difference in practice:

SEO Approach:

• Page title: “Emergency Plumber Atlanta | 24/7 Plumbing Services”
• Meta description: “Need an emergency plumber in Atlanta? We offer 24/7 plumbing services with same-day appointments. Call now for fast, reliable service.”
• Content: 800 words of keyword-stuffed content about “plumbing services in Atlanta”

AEO Approach:

• Page title: “Emergency Plumbing Pricing: $150-$350 (Atlanta)”
• Structured data: JSON-LD schema with specific service pricing, hours, service area
• Content: Clear, direct answers to questions AI needs:
  • “How much does emergency plumbing cost?” → “$150-$350 depending on issue severity”
  • “Do you offer same-day service?” → “Yes, available 24/7 with arrival within 60 minutes”
  • “What payment methods do you accept?” → “Cash, credit, financing available”

See the difference?

SEO tries to convince Google’s algorithm that your page is relevant.

AEO gives AI the exact information it needs to recommend you.

Answer Engine Optimization: The New Rules of Visibility

Let me break down what Answer Engine Optimization actually means and why it’s not just “SEO with a new name.”

AEO is optimization for AI-powered answer engines.

Answer engines include:

• Google’s AI Overviews (the AI-generated summaries at the top of search results)
• ChatGPT (when people ask “find me a plumber in Atlanta”)
• Perplexity AI (when people research services)
• Claude, Gemini, and every other AI assistant
• Google’s new “AI Get Prices” feature

These AI systems don’t rank websites. They recommend answers.

The shift:

• Old: “Which websites rank for this keyword?”
• New: “Which business best answers this customer’s question?”

What AI looks for:

1. Structured data it can parse (schema markup, clear pricing, service descriptions)
2. Direct answers to specific questions (no fluff, no marketing speak)
3. Authority signals (reviews, citations, consistency across platforms)
4. Conversation-ready information (Can AI book an appointment? Can it get pricing? Can it check availability?)

What AI ignores:

1. Keyword density (doesn’t matter)
2. Backlink count (matters less)
3. Marketing copy (AI strips it out)
4. Design and aesthetics (AI can’t see it)

The new competitive advantage is being the most useful, not the most visible.

The 3 Pillars of AEO for Service Businesses

Let me give you the exact framework we use to optimize service businesses for AI visibility. We call it the AEO Trinity:

Pillar 1: Structured Pricing Data

AI needs pricing information in a format it can understand. That means:

On your website:

• Dedicated pricing page with clear ranges for each service
• Schema markup (JSON-LD) with structured pricing data
• Service-specific pages with pricing included
• FAQ section answering “How much does cost?”

Example: Plumbing Service Page

❌ Bad (AI can’t parse this):
“We offer competitive pricing for all your plumbing needs. Contact us for a free estimate.”

✅ Good (AI can parse this):
“Emergency Drain Cleaning: $150-$250

• Minor clogs (hair, soap): $150
• Major blockages (grease, roots): $200-$250
• Includes 1-year warranty on workmanship
• Same-day service available 24/7″

On your Google Business Profile:

• Service descriptions with pricing ranges
• Posts highlighting current pricing or specials
• Attributes filled out (price range: $$, accepts credit cards, etc.)
• Q&A section with pricing questions answered

Schema markup example:

{
  "@context": "https://schema.org",
  "@type": "Service",
  "serviceType": "Emergency Drain Cleaning",
  "provider": {
    "@type": "LocalBusiness",
    "name": "Your Plumbing Company"
  },
  "offers": {
    "@type": "Offer",
    "price": "150-250",
    "priceCurrency": "USD"
  }
}

When Google’s AI scrapes your site looking for pricing, it finds structured data it can immediately process and compare. You’re in the comparison. Your competitor who says “call for pricing” isn’t.

Pillar 2: Answer-Optimized Content

AI is looking for direct answers to specific questions. Your content needs to be structured as Q&A, not marketing fluff.

The questions AI is asking on behalf of customers:

• How much does cost?
• Do you offer same-day service?
• What’s your service area?
• What payment methods do you accept?
• Are you licensed and insured?
• Do you offer warranties?
• What’s your response time?
• Do you offer emergency service?

Content structure that AI loves:

❌ Bad (marketing speak AI ignores):
“At , we’re committed to providing the highest quality plumbing services to residential and commercial clients throughout the greater Atlanta metro area. With over 20 years of combined experience, our team of certified professionals…”

✅ Good (direct answers AI can use):
“Do you offer same-day plumbing service?
Yes. We offer same-day service for all plumbing emergencies. Our average response time is 45-60 minutes from your call.

What areas do you serve?
We serve all of Atlanta and surrounding areas including:

• Buckhead
• Midtown
• Virginia Highland
• Decatur
• Sandy Springs

What payment methods do you accept?
We accept:

• Cash
• All major credit cards
• Financing available (12 months, 0% interest)
• We bill insurance directly for covered claims”

Page structure that works:

1. H1: Direct question (“How Much Does Emergency Plumbing Cost in Atlanta?”)
2. Quick answer (first 100 words)
3. Detailed breakdown
4. Related questions (naturally linking to other service pages)
5. CTA (book now, call now, get estimate)

Why this matters:
When AI reads your page, it’s not looking for persuasive copy. It’s extracting facts. Give it facts in a structure it can process.

Pillar 3: Authority Signals

AI doesn’t just look at your website. It cross-references information across the entire web to verify you’re trustworthy.

Authority signals AI checks:

1. Review Quality and Quantity

• Google reviews (quantity, recency, average rating)
• Other platforms (Yelp, Facebook, industry directories)
• Review response rate (do you respond to reviews?)
• Review content (do reviews mention specific services and pricing?)

2. Citation Consistency

• NAP (Name, Address, Phone) consistency across all platforms
• Business hours consistency
• Service descriptions consistency
• Pricing consistency (if you post pricing in multiple places)

3. Credentials and Trust Signals

• Licenses listed on website and GBP
• Certifications (BBB, trade associations, manufacturer certifications)
• Insurance information
• Years in business
• Team bios with credentials

4. Engagement Metrics

• How quickly do you respond to messages on GBP?
• Do you answer Q&A questions on GBP?
• Do you post regularly?
• Do you respond to reviews?

Why this matters:
AI is risk-averse. It won’t recommend a business unless it can verify the information is accurate and the business is legitimate. If your information is inconsistent across platforms, AI flags you as unreliable and skips you.