How AI Search Really Changed Local Visibility (And What to Do About It)

Reading time: 16 minutes

Your website traffic is down about 30%.

But your phone keeps ringing.

Walk-ins haven’t dropped.

Revenue is mostly fine.

Something fundamental shifted, and it’s hard to name.

Here’s what happened: the research layer moved out of your website and into AI summaries, Google Business Profile cards, and answer engines you’ve never heard of.

Your customers are finding you. They’re just not visiting your site to do it.

This guide explains the new local discovery landscape and gives you a concrete, four-week plan to secure your visibility in the AI era.

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TLDR: The Local Search Reality in 2025

• Around 58-60% of Google searches are now zero-click. Users get their answer on the results page without clicking any website.
• AI Overviews appear on a growing percentage of informational queries, synthesizing answers from multiple sources.
• Gen Z bypasses Google entirely for many searches, using TikTok, Instagram, and ChatGPT for discovery.
• Perplexity AI pulls local data directly from Yelp. If your Yelp profile is weak or empty, you’re invisible in that ecosystem.
• Google Business Profile is now the primary brand experience for most local businesses. Your website validates; GBP converts.
• Success metric shifted from “website traffic” to “being cited in AI answers and map packs.”
• Surmado Signal ($25) tests what AI systems actually say about your business. Scan ($25) fixes the technical side. Solutions ($50) gives you strategy.

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What Changed: The Map Moved Under Your Feet

For 20 years, local search meant one thing: rank high on Google, get traffic to your website, convert visitors to customers.

That model broke between 2024 and 2025.

Not because Google died. But because the interface changed.

The Zero-Click Reality

Multiple independent studies now show that around 58-60% of all Google searches end without a single click to an external website.

The user asks a question. Google shows an answer at the top of the page. The user gets what they need and leaves.

For local businesses, this means:

Old flow:

1. User searches “HVAC repair Dallas.”
2. User clicks your website (ranked #3).
3. User reads your services page.
4. User calls from the contact page.

New flow:

1. User searches “HVAC repair Dallas open now.”
2. Google shows a Map Pack with 3 businesses.
3. User taps your listing, sees GBP card with hours, photos, reviews.
4. User calls directly from the GBP card.

Your website was never visited. The entire journey happened inside Google’s interface.

This is not a bug. This is the system working as designed.

AI Overviews Absorb the Research Phase

When users search for informational queries, Google increasingly shows AI Overviews at the top of the results.

Examples of informational queries:

• “Why is my AC blowing warm air?”
• “How much does roof repair usually cost?”
• “What’s the best neighborhood in Austin for families?”

AI Overviews synthesize answers from multiple sources and display them in a multi-paragraph summary.

On mobile (where most local searches happen), this AI summary often fills the entire first screen. Organic results are pushed below the fold.

Impact for local businesses:

Your blog post titled “5 Reasons Your AC is Blowing Warm Air” might still rank #1.

But if the AI Overview synthesizes your content into a bulleted list at the top of the page, users never click through.

Your traffic drops. But your brand authority increases if you’re cited as the source.

This is the trade-off of the AI era: less traffic, but the traffic you do get is higher-intent.

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The New Discovery Stack: Google + AI + Social

The local discovery landscape has fragmented.

Different age groups and different intents now use completely different platforms.

You need to be visible across multiple surfaces because there is no single “front door” anymore.

Google Still Owns “Where / Now”

Google remains dominant for transactional and navigational searches.

Queries Google owns:

• “Coffee shop near me”
• “Emergency plumber open now”
• “Best Italian restaurant walking distance”

These queries trigger Map Packs and Google Business Profile cards.

For immediate, location-based needs, Google is still the default.

But: AI Overviews are increasingly appearing even for these queries, especially when there’s a qualifier like “good for kids” or “wheelchair accessible.”

The AI reads your GBP attributes, reviews, and photos to filter results based on these specific needs.

Gen Z Routes Around Google

For Gen Z (and increasingly Millennials), Google is not the starting point.

Studies show that roughly 74% of Gen Z use TikTok search, and about 40-51% prefer TikTok or Instagram over Google for certain discovery tasks.

What they search for on TikTok:

• Restaurants and cafes
• Fashion and beauty
• Local experiences and events
• “Things to do in [city]”

How it works:

A user searches “best brunch in Denver” on TikTok.

They watch short videos from creators showing the food, ambiance, and prices.

They pick a spot based on vibe, not reviews or rankings.

Then they validate the choice by checking Google Maps for location and hours.

Implication for local businesses:

Your TikTok presence (or lack thereof) is now part of your discovery funnel.

You don’t need to go viral. But having some authentic video content showing your space, food, or services helps you appear in TikTok search results.

Answer Engines: ChatGPT and Perplexity as the Research Layer

When users have complex, multi-part questions, they’re increasingly turning to AI chatbots.

ChatGPT / SearchGPT

ChatGPT processes over 1 billion queries per week.

Users ask it conversational, long-tail questions:

• “Find me a romantic Italian restaurant in Austin with patio seating and vegetarian options.”
• “What’s the best moving company in Dallas that handles pianos and has transparent pricing?”

ChatGPT aggregates information from across the open web: directories, review sites, blogs, news articles.

It synthesizes a narrative answer with 3-5 recommendations.

The user often calls or books directly from that list without visiting Google or your website.

Perplexity AI

Perplexity brands itself as a “Research Engine” focused on citation and source transparency.

For local searches, Perplexity has a direct integration with Yelp.

When you ask Perplexity for restaurant or service recommendations, it pulls:

• Yelp reviews
• Yelp photos
• Yelp pricing data
• Maps and location details

It displays this in rich “media cards” without forcing you to click away.

Critical insight:

If your Yelp profile is incomplete, outdated, or missing photos and reviews, you are effectively invisible on Perplexity.

Many local businesses optimize Google Business Profile but completely neglect Yelp.

In 2025, that’s leaving money on the table.

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The Zero-Click Journey: No Website Visit Required

Let’s walk through a typical customer journey in 2025.

Scenario: User planning a celebratory dinner in Austin.

Phase 1: Ideation via ChatGPT

User asks: “Find me a romantic Italian restaurant in Austin with patio seating and vegetarian options.”

ChatGPT uses aggregated review data to list 5 options that match these vibe criteria.

Phase 2: Verification via Google Maps

User copies the top recommendation into Google Maps.

They verify:

• Distance from their hotel
• User-uploaded photos of the patio
• Recent reviews mentioning “romantic” and “vegetarian”

Phase 3: Booking via Platform

User books the table through OpenTable integration found within Google Maps or ChatGPT interface.

Phase 4: Website visit?

The restaurant’s website was never visited.

Yet the sale occurred.

Critical success factors:

• Restaurant appeared in ChatGPT’s initial list (driven by review semantics and third-party mentions).
• Restaurant had accurate visual data on Google Maps (photos showing patio).
• Restaurant had clear “vegetarian options” mentioned in reviews and GBP attributes.

This is the new normal for local discovery.

Your website still matters for trust and detail. But the GBP card, AI summary, and review snippets are where most customers make their decision.

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Local Intent: What AI Can Answer vs. What Still Routes to You

AI search engines are getting better at understanding user intent.

This creates three distinct categories of local queries.

Informational Intent: The Expert’s Domain

Examples:

• “Why is my AC blowing warm air?”
• “How much does roof replacement usually cost?”
• “What are the symptoms of a bad water heater?”

AI behavior:

AI Overviews trigger for a high percentage of these queries (some studies show around 58% trigger rate for informational queries).

The AI synthesizes an answer from authoritative how-to guides and blog posts.

Impact on local businesses:

Your blog traffic may drop because users get the answer directly from the AI.

But: being cited as the source establishes “Entity Authority.”

This authority signals to the AI that your business is a subject matter expert, which indirectly boosts your visibility for transactional queries.

Strategy:

Continue producing high-quality educational content.

Understand that its primary ROI is now algorithmic authority, not direct traffic.

Transactional Intent: The High-Stakes List

Examples:

• “AC repair near me open now”
• “Emergency plumber in Dallas”
• “Best dentist in Austin taking new patients”

AI behavior:

These queries are less likely to trigger long-form AI summaries.

Instead, they trigger map-based results or curated lists filtered by attributes.

What the AI filters by:

• “Open now” status
• “24/7 emergency service” attribute
• “Wheelchair accessible” flag
• “Accepts new patients” indicator

Impact:

Static keyword optimization is less effective than rich attribute management in your Google Business Profile.

If you haven’t explicitly tagged your business as “wheelchair accessible” in GBP attributes, you may be excluded from an AI filter for that term, regardless of your keyword rankings.

Strategy:

Complete 100% of GBP fields: categories, attributes, services, hours, special hours.

Every attribute is a potential filter the AI uses to narrow recommendations.

Navigational Intent: The Accuracy Trap

Examples:

• “Joe’s Pizza phone number”
• “Is ABC Plumbing open today?”
• “Hours for XYZ Dental”

AI behavior:

These queries expect a singular, factual response.

AI systems pull from Google Business Profile, Yelp, Facebook, and your website to triangulate the correct answer.

The risk:

If your phone number differs across platforms (Yelp says one thing, Facebook says another), the AI model may confidently provide the wrong number to avoid hallucinating.

Alternatively, it may say you’re closed when you’re actually open to be safe.

Real-world consequences:

Business owners report customers calling and saying, “ChatGPT told me you were closed, but I thought I’d try anyway.”

Or worse: the AI gives a competitor’s phone number because the data for your business was too inconsistent to trust.

Strategy:

Treat NAP (name, address, phone) consistency as operational infrastructure, not just marketing.

Audit every platform quarterly and fix discrepancies immediately.

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GEO for Local: Making Your Business Easy for AI to Quote

“Generative Engine Optimization” sounds like buzzword soup.

Here’s the plain-English version:

GEO is about organizing your business data so AI systems can easily understand, trust, and cite you.

For local businesses, GEO boils down to four pillars.

Pillar 1: Structured Data and Clear Entities

AI systems prefer structured, machine-readable data over unstructured text.

Schema markup is the language AI systems speak natively.

What to implement:

LocalBusiness Schema

Tells the AI:

• What you do
• Where you are
• When you’re open
• How to contact you
• What you charge (price range)

Example:

{
  "@context": "https://schema.org",
  "@type": "LocalBusiness",
  "name": "Joe's HVAC & Repair",
  "description": "24/7 emergency HVAC repair with same-day service in Dallas",
  "address": {
    "@type": "PostalAddress",
    "streetAddress": "456 Elm Street",
    "addressLocality": "Dallas",
    "addressRegion": "TX",
    "postalCode": "75202"
  },
  "telephone": "+1-214-555-6789",
  "priceRange": "$$",
  "openingHours": "Mo-Su 00:00-23:59",
  "sameAs": [
    "https://www.facebook.com/joeshvac",
    "https://www.yelp.com/biz/joes-hvac-dallas"
  ]
}

Why this matters:

Without schema, the AI has to guess what your business does by reading paragraphs of marketing copy.

With schema, you’re handing the AI a structured fact sheet in its native format.

Studies show that sites with robust schema and logical structure correlate with higher inclusion in AI Overviews.

FAQPage Schema

Tells the AI exactly which questions you answer.

Example:

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "Do you offer same-day HVAC repair in Dallas?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "Yes. We offer 24/7 emergency HVAC repair with same-day service in Dallas, including weekends and holidays. Our service call fee is $89."
    }
  }]
}

This makes it trivial for AI to extract your answer when a user asks, “Who offers same-day HVAC repair in Dallas?”

Pillar 2: Entity Consistency Across Maps, Yelp, and Everything Else

AI models determine truth by triangulation.

If your business hours are listed as “Mon-Fri 9-5” on your website but “Mon-Sat 8-6” on Yelp, the AI loses confidence.

To avoid hallucinating incorrect information, the AI may:

• Exclude your hours entirely
• Say you’re “closed” to be safe
• Default to a competitor with consistent data

The “Consensus Engine” effect:

LLMs favor information that appears consistently across multiple authoritative sources.

What to audit:

Data Point	Where to Check
Business Name	Google Business Profile, Yelp, Facebook, Apple Maps, Bing Places, Website
Address	Same as above
Phone Number	Same as above
Hours	Same as above + any online ordering platforms
Services Offered	GBP Services section, Yelp categories, website services page
Price Range	GBP, Yelp, website

Goal: 100% consistency across all tier-1 platforms.

Perplexity-specific note:

Perplexity pulls heavily from Yelp for local queries.

If your Yelp profile is incomplete or your data doesn’t match Google, you’re creating noise that Perplexity will avoid by excluding you.

Pillar 3: Q&A Style Content That AI Can Extract

AI systems are trained on question-answer pairs.

Content structured as Q&A is easier for them to parse and cite.

How to implement:

Create a “Questions We’re Asked” section on your website.

Write 5-10 questions real customers ask.

Answer each question in the first 40-60 words immediately after the heading.

Follow with bulleted details or supporting paragraphs.

Example:

## Do you offer emergency HVAC repair on weekends in Dallas?

Yes. We offer 24/7 emergency HVAC repair in Dallas, including weekends and holidays.
Our average response time is under 2 hours. Our emergency service call fee is $119,
which includes full diagnosis and is credited toward repair costs if you proceed.

### What qualifies as an emergency?
- No heat in winter (below 40°F outside)
- No AC in summer (above 95°F outside)
- Gas leaks or burning smells
- Complete system failure

Call 214-555-6789 any time for emergency service.

Why this format works:

The AI can extract the direct answer (“Yes. We offer 24/7 emergency HVAC repair…”) and cite you as the source.

The supporting details give context without burying the answer.

Pillar 4: Review Semantics, Not Just Star Ratings

AI systems read the text of reviews, not just the star rating.

When a user asks, “Who has the best gluten-free pizza in Austin?”, the AI scans review text for mentions of “gluten-free.”

A business with 5 stars but no reviews mentioning “gluten-free” will lose visibility to a 4.5-star business that has frequent mentions of that specific keyword.

Strategy:

When requesting reviews, guide customers to mention specific features.

Example email template:

“Thanks for choosing us! If you have a moment to leave a review, it really helps other customers find us. If you could mention [specific service / feature you want to be known for], that would be especially helpful. Here’s the link: [Review Link]”

What to encourage them to mention:

• Specific services (“same-day,” “emergency,” “transparent pricing”)
• Accessibility (“wheelchair accessible,” “parking”)
• Dietary options (“gluten-free,” “vegan,” “keto-friendly”)
• Kid-friendly or pet-friendly attributes

Respond to every review:

Your response confirms the context and reinforces the keywords.

Example:

Customer review: “Great service! They came out the same day and fixed our AC in under an hour.”

Your response: “Thank you! Same-day service is one of our core commitments. We’re glad we could help you get cool again quickly.”

This reinforces the “same-day service” entity-attribute association for AI systems reading the review thread.

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A Simple 4-Week Action Plan for Local SMBs

Here’s a concrete, step-by-step plan you can start this week.

Week 1: Clarity and Cleanup

Objective: Establish a single, unambiguous digital identity.

Actions:

1. Audit NAP consistency

Check your name, address, and phone number across:

• Google Business Profile
• Bing Places
• Yelp
• Apple Maps
• Facebook Business Page
• Your website contact page

Document every discrepancy in a spreadsheet.

2. Audit hours consistency

Check your regular hours, special hours, and holiday hours across the same platforms.

Look for contradictions.

3. Fix the worst conflicts immediately

Start with phone number and address. These cause the most operational pain when wrong.

Why this week matters:

Conflicting NAP data is a top cause of AI systems hallucinating that you’re closed or unreachable.

Fixing this is not just marketing. It’s operational infrastructure.

Metric: Aim for 100% consistency by end of week.

Week 2: Schema and On-Site Q&A

Objective: Translate your business data into machine-readable format.

Actions:

1. Implement LocalBusiness schema

If you have a developer, send them the schema example from this article.

If you don’t, use a tool like Google’s Structured Data Markup Helper or a plugin for your CMS.

Include these properties:

• name
• description
• address (full PostalAddress object)
• telephone
• priceRange
• openingHours
• areaServed
• sameAs (links to your social profiles)

2. Add FAQPage schema

Pick 3-5 of your most common customer questions.

Structure them with FAQPage schema.

3. Create a “Questions We’re Asked” section on your site

Write 5-10 questions in H2 or H3 tags.

Answer each in 40-60 words immediately below the heading.

Follow with bulleted details.

4. Validate your schema

Use Google’s Rich Results Test to check for errors.

Why this week matters:

You’re teaching the AI to read your business data in its native language instead of forcing it to guess from marketing copy.

Week 3: Review System and Yelp Optimization

Objective: Build the sentiment and text signals AI systems use for filtering.

Actions:

1. Set up a repeatable review request process

After every job, visit, or transaction, send a review request.

Include guidance on what to mention (see Pillar 4 above).

2. Optimize your Yelp profile

Since Perplexity pulls directly from Yelp, treat this as critical infrastructure.

• Complete 100% of fields
• Upload 10+ recent photos
• Add detailed business description with key differentiators
• Respond to all reviews (even old ones)

3. Do the same for Google Business Profile

• Upload fresh photos (Google favors recent uploads)
• Add posts (weekly if possible)
• Complete the Services section with specific offerings
• Add attributes (wheelchair accessible, outdoor seating, etc.)

4. Create review response templates

Write 3-5 templates for responding to reviews that reinforce your key differentiators.

Why this week matters:

Review text is the raw material AI systems use to determine “best for [specific need]” recommendations.

Perplexity specifically uses Yelp as a primary data source for local queries.

Week 4: AI Visibility Check with Surmado

Objective: Measure what AI systems actually say about you now that cleanup is done.

Actions:

1. Run Surmado Signal

Surmado Signal tests how 7 AI platforms talk about your business across 5 buyer personas.

What you’ll see:

• Presence Rate: How often you’re mentioned (0-100%)
• Authority Score: How confidently AI systems recommend you (0-100%)
• Platform breakdown: Which platforms mention you most
• Ghost Influence: How often competitors are mentioned instead of you

Why this matters:

You can’t fix what you can’t measure.

Signal shows you whether the work you did in weeks 1-3 actually improved your AI visibility.

It also reveals which competitors are winning in AI answers so you know what you’re up against.

Cost: $25 (1 credit).

2. Optional: Run Surmado Scan

Scan audits your site for technical and structural issues that block AI systems from reading you.

What Scan checks:

• Schema markup validity
• Core Web Vitals (speed, mobile performance)
• Heading hierarchy and semantic HTML
• Crawlability and indexability

Why this matters:

If your site is slow, broken, or hard to read, AI systems may skip it even if you have great content.

Cost: $25 (1 credit).

3. For agencies: Consider Surmado Solutions

If you’re managing multiple locations or clients, Solutions runs a six-AI adversarial debate to give you strategic guidance.

What Solutions delivers:

• Prioritized recommendations with ROI analysis
• Multi-quarter roadmap connecting SEO, AEO, and GEO tactics
• Competitive benchmarking

Cost: $50 (2 credits).

4. Track progress monthly

Re-run Signal monthly to track changes in AI visibility over time.

Use the API if you’re managing multiple clients and want to automate reporting.

Credits note for agencies:

Surmado works on credits. One credit = $25.

The $100 bundle gives you 6 credits (effectively 2 free reports).

This gives agencies flexibility to mix Scan, Signal, and Solutions across clients without subscription lock-in.

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Metrics That Matter in the Zero-Click Era

Traditional local SEO metrics are becoming less useful.

Here’s what to track instead.

Zero-Click Visibility

Track impressions in Google Search Console for queries where AI Overviews are present, even if clicks are low.

This metric indicates brand awareness.

Users see your business name in the AI summary or map pack. They may not click your website, but they’re aware of you.

Some percentage will call directly, visit your location, or search for you by name later.

AI Brand Mentions and Citations

How often does your brand appear in AI-generated answers?

How often are you cited as a source in AI Overviews or Perplexity answers?

Manual testing:

Ask ChatGPT, Perplexity, Claude, and Gemini the same questions your customers would ask.

Examples:

• “Best [your category] in [your city]”
• “Who offers [your key service] in [your area]?”
• “[Your category] near me with [key attribute]”

Track whether you appear in the answers and what position you hold.

Automated testing:

Use Surmado Signal to run this test across 7 platforms with multiple personas automatically.

GBP Insights: Direct Actions

Track direct actions from your Google Business Profile:

• Calls
• Direction requests
• Website clicks
• Booking button clicks

These matter more than raw website traffic because they represent high-intent actions.

Review Velocity and Sentiment

Track:

• Number of reviews per month
• Average star rating
• Percentage of reviews mentioning key differentiators (“same-day,” “gluten-free,” “kid-friendly”)

Use AI sentiment analysis tools to identify patterns in negative reviews early.

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How Surmado Fits: Practical AI Visibility for Local Businesses

The shift to AI search creates a measurement problem.

You can’t fix what you can’t see.

Surmado offers three tools designed to make AI visibility measurable and actionable.

Surmado Signal: What AI Actually Says About You

What it does:

Tests how 7 AI platforms talk about your business across 5 buyer personas.

Platforms tested:

• Google AI Overviews
• ChatGPT / SearchGPT
• Perplexity
• Claude
• Gemini
• Grok
• DeepSeek

What you get:

• Presence Rate (0-100%): How often you’re mentioned
• Authority Score (0-100%): How confidently AI systems recommend you
• Platform breakdown: Which platforms favor you vs competitors
• Ghost Influence: How often competitors are mentioned for your differentiators
• Citation analysis: What AI systems say about you and where they get the information

Why this matters for local businesses:

You’re probably not going to manually test 7 AI platforms with 50 different queries.

Signal does this in about 15-30 minutes and gives you a structured report.

It’s the fastest way to answer: “Do AI systems recommend me or my competitors?”

Cost: $25 (1 credit).

Async and API-friendly:

Signal runs asynchronously. You can call the API, get a job ID, and receive results via webhook when complete.

Perfect for agencies managing multiple clients.

Surmado Scan: Fix the Technical Blockers

What it does:

Audits your site for technical and structural issues that prevent AI systems from reading you.

What Scan checks:

• Schema markup (LocalBusiness, FAQ, HowTo, Service)
• Core Web Vitals (LCP, CLS, INP)
• Crawlability and indexability
• Mobile performance
• Heading hierarchy and semantic HTML
• Accessibility and security

What you get:

A prioritized action plan with 5-10 fixes ranked by impact.

Each issue includes:

• Why it matters for AI visibility
• How to fix it (with code examples where relevant)
• Expected impact

Cost: $25 (1 credit).

Surmado Solutions: Strategic Guidance

What it does:

Runs a six-AI adversarial debate analyzing your business, competitive landscape, and market positioning.

What Solutions delivers:

• Prioritized recommendations with ROI analysis
• Multi-quarter roadmap connecting SEO, AEO, and GEO tactics
• Real Options Valuation for high-uncertainty decisions
• Adversarial critique to stress-test assumptions

Who it’s for:

Multi-location businesses, agencies managing local clients, or businesses making significant strategic decisions.

Cost: $50 (2 credits).

Credits and Bundles: Flexible, No Subscription

How it works:

One credit = $25.

Most reports cost 1-2 credits.

The $100 bundle gives you 6 credits (equivalent to getting 2 free reports).

For agencies:

Buy a $100 bundle, then mix and match:

• Scan for quick audits
• Signal for AI visibility tests
• Solutions for bigger engagements

No subscription. No minimums. Resell the value however you want.

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The Bottom Line

The local search landscape has fragmented into multiple platforms and interfaces.

Google still dominates “where / now” queries.

Gen Z uses TikTok and Instagram for discovery.

AI systems like ChatGPT and Perplexity handle the research phase.

Around 58-60% of searches are now zero-click. Users get their answer on the results page without visiting your website.

For local businesses, success is no longer about website traffic. It’s about being the answer AI systems give when customers ask.

The four-week action plan:

Week 1: Audit and fix NAP consistency across all platforms.

Week 2: Implement LocalBusiness and FAQPage schema. Create Q&A content.

Week 3: Optimize Yelp and Google Business Profile. Build a review request system.

Week 4: Run Surmado Signal to see what AI systems actually say about you.

The businesses that master this in 2025 will dominate local search.

The ones that ignore it will watch competitors get recommended by AI while they wonder why their rankings don’t matter anymore.

Your customers are finding you. They’re just not visiting your site to do it.

Now you know how to make sure they find you instead of your competitor.

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Sources Referenced in This Article

This article synthesizes data from:

• Search Engine Roundtable / SparkToro: Zero-click search statistics (58-60% of Google searches).
• Search Engine Land: “Near me” optimization and Gen Z discovery behavior research.
• The Verge / Maginative: Perplexity + Yelp integration analysis.
• Birdeye / Local Dominator: AI impact on local search and GBP optimization.
• Revel Interactive / CLICKVISION: TikTok as Gen Z search engine, zero-click trends.
• Prosek Partners / Done For You: AI search behavior and citation analysis.
• Multiple local SEO case studies: Real-world examples of GEO implementation for local businesses.

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Related Reading:

• AI Overviews, Zero-Click Search, and Why Your Traffic Looks Broken
• Answer Engine Optimization: The Complete AEO and GEO Guide
• What is Generative Engine Optimization (GEO)?
• Google Business Profile Optimization
• Schema Markup for Local Business

Take Action:

• Test Your AI Visibility with Signal ($25, 1 credit)
• Audit Your Technical Foundation with Scan ($25, 1 credit)
• Get Strategic Guidance with Solutions ($50, 2 credits)
• Get All Three: Complete Visibility Suite ($100, 6 credits bundle)