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Case Study

How to Get Your Business Recommended by ChatGPT

This case study documents the exact strategy that took a local business from near-zero organic traffic to ChatGPT recommendations, 2.9 million Google impressions, 89% click growth, and 5 closed deals in 4 months. One client found the agent through ChatGPT before ever visiting the website. Every number is pulled directly from Google Search Console. Every deal is verified.

12 min read
Published March 2026
By Justin Borges
📈
+89%
Monthly click growth in 90 days
👁
2.9M
Total Google impressions over 90 days
🤝
5
Closed deals directly from content
🔑
1,000+
Unique queries ranking on Google

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Deep Expertise, Near-Zero Online Visibility

The client is a 13-year real estate practice with over $200 million in career sales and a 106% average list-to-sale ratio. A high-performing operation. The specialties include some of California's most technically demanding real estate niches: probate and inherited property, Proposition 19 transfers, rent-controlled property sales, and fire recovery consultation.

But online? The site was pulling hundreds of monthly clicks. Not thousands. Despite 13 years of local expertise, the practice was essentially invisible on Google and nonexistent on AI platforms.

The Problem

A business with $200M+ in career sales and genuine niche expertise was invisible to every AI platform. ChatGPT, Perplexity, Claude, and Google AI Overviews had no idea this team existed. Hundreds of potential clients were asking AI for help and getting sent to competitors.

That is the gap Answer Engine Optimization is built to close. The expertise was already there. The job was to extract that knowledge, structure it, and put it in front of the people who needed it.

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Four Tightly Defined Topic Clusters

Rather than publish random blog posts and hope for traffic, the content push was organized around four topic clusters, each matching a genuine area of deep expertise:

ClusterFocus AreaWhy It Works for AEO
Rent Control & RSOLA landlord-tenant lawHyper-local, high urgency queries
Prop 19 & ProbateInherited property rulesCalifornia-specific, high-stakes decisions
Foreclosure & AB 24242025 legislative changeTime-sensitive, very few authoritative sources
Fire RecoveryAltadena/Eaton FireLocally specific, immediate need

Each cluster was built as a hub-and-spoke architecture: individual spoke articles targeting specific questions, all linking to a comprehensive hub guide that established authority across the full subject area.

Why Clusters Beat Isolated Posts

AI platforms do not evaluate individual pages in isolation. They evaluate whether a site demonstrates interconnected, deep expertise across a topic. One great article rarely earns an AI citation. A coordinated content cluster built around verified expertise almost always does.

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90 Days of Google Search Console Data

The numbers below cover December 2025 through early March 2026. Every metric is pulled directly from Google Search Console.

MetricStartEndChange
Monthly clicks4,4818,477+89%
Monthly impressions697,0001,162,000+67%
Average ranking position7.46.8Improving
Total impressions (90 days)Cumulative2,910,653
Total clicks (90 days)Cumulative19,650
Unique queries rankingTotal1,000+
Peak single-day clicksBest day427
Click growth rate
+89%
Impression growth rate
+67%
Position improvement
7.4 to 6.8
Keywords ranking
1,000+
Peak daily clicks
427

The single top-performing page, a deep-dive on Los Angeles rent control relocation fees, earned 1,365 clicks in 90 days on its own. That article now outranks content from law firms, tenant advocacy organizations, and regional media for queries that landlords and tenants search with real urgency.

Key Takeaway

This was not a slow, gradual climb. The hub-and-spoke architecture created compounding visibility. Each new article strengthened the entire cluster, accelerating growth across all content pieces.

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What to Expect: A Realistic AEO Timeline

One of the most common questions we get is when results actually show up. Based on this engagement:

Month 1: Foundation

First articles indexed. Early rankings appear for long-tail queries. Baseline impressions begin climbing. The content architecture is laid down.

Month 2: Traction

Cluster architecture takes hold. Position improvements become visible across multiple pages. Both landlords and tenants begin calling weekly.

Month 3: AI Recognition

AI platform citations begin. ChatGPT starts surfacing content. Top pages reach featured snippets. The compounding effect kicks in.

Month 4: Revenue

First verified deals closed from content. ChatGPT referral confirmed. 89% click growth documented. The strategy pays for itself.

Important Context

This timeline reflects a full-commitment content push. Slower publication schedules produce slower results. The underlying mechanics are the same. The speed depends on volume and consistency.

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Both Sides of the Market Started Calling

Traffic growth is measurable. What is harder to quantify, until it shows up in your phone, is the quality of trust the content was building.

About six to eight weeks in, the team began receiving weekly calls not just from sellers and buyers, but from both landlords and tenants. People on opposite sides of the same legal and transactional questions the content was answering.

The content was not perceived as advocacy for one side. It was perceived as genuine expertise. The kind that helps you understand a complicated situation regardless of which side of the table you are on.

In a market as legally complex as Los Angeles real estate, that is a rare reputation to earn organically. And it is exactly the kind of trust signal that AI platforms weigh heavily when deciding who to recommend.

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5 Closed Deals and a ChatGPT Referral

By early 2026, the practice had closed five deals directly attributable to the content strategy. Multiple clients mentioned the blog as how they discovered the team.

The ChatGPT Moment

One client specifically found the agent through ChatGPT. Someone typed a question into ChatGPT, not Google, not Zillow, not a referral network, and ChatGPT recommended a specific real estate agent based on the content that agent had published. That client reached out, came in already trusting the expertise, and closed a deal.

💰
5
Verified closed deals from content
🤖
1
Deal sourced directly from ChatGPT
📞
2-3
Inbound calls per day for 2+ months
🎯
Both
Sides of the market calling (buyers + sellers)

"I receive 2-3 incoming calls a day for the last 2 months."

Justin Borges, Team Lead, The Borges Real Estate Team

That is the end state AEO is designed to produce. Not just rankings. Not just impressions. Recommended by AI.

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AEO vs. Traditional SEO: Why Both Matter

A question worth addressing directly: is this just good SEO? AEO builds on SEO fundamentals but adds layers that SEO alone does not cover.

What AEO Adds Beyond SEO
  • Schema markup AI platforms can parse
  • FAQ structures AI can directly cite
  • Hub-and-spoke architecture for topical authority
  • Entity recognition across AI platforms
  • Pre-qualified leads from AI recommendations
  • Cross-platform visibility (ChatGPT, Claude, Perplexity)
What SEO Alone Provides
  • Google search rankings
  • Backlink authority signals
  • Keyword-based traffic
  • Local map pack visibility
  • Click-through from search results
  • Established measurement tools

Traditional SEO optimizes for Google's ranking algorithm. AEO optimizes for how AI platforms extract, evaluate, and recommend sources. That includes schema markup AI can parse, FAQ structures AI can directly cite, and hub-and-spoke architecture that signals topical authority to language models, not just to Google's crawler.

Key Takeaway

AEO does not replace SEO. It extends it. The best strategy combines both: rank in search results AND get cited by AI platforms. This case study proves they compound each other.

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What Made This Work: Three Non-Negotiables

This was not a volume play. The content push required significant effort. Three components had to be present and working together.

The 3 Non-Negotiables for AI Visibility
ComponentWhat It DoesWhy AI Cares
Voice CaptureExtracts real expertise before writingAI rewards specificity over generic advice
Full Schema Stack5+ schema types per articleAI needs structured data to understand your content
Hub-and-SpokeInterconnected content clustersAI evaluates topical depth, not isolated pages

1. Voice Capture Before Content Creation

Every piece of content was built from a structured interview process that extracted real, specific expertise before a single word was written. The exact mechanics of how LA rent control relocation fees are calculated. The precise way Proposition 19 affects property tax basis. The practical implications of AB 2424 for a seller in foreclosure. That specificity is what separates content AI platforms cite from content they ignore.

2. Full Schema Stack on Every Article

Every published piece included a minimum of five schema types: Article, FAQPage, HowTo where applicable, BreadcrumbList, and LocalBusiness. Schema markup tells AI platforms exactly what your content covers, who wrote it, and what qualifies them to answer. Without it, AI systems have to guess. With it, they know.

3. Hub-and-Spoke Architecture, Not Isolated Posts

Every article was planned as part of a cluster. Spoke articles linked to each other and to the hub guide. The hub guide linked back to all spokes. This interconnected structure gave AI platforms the topical depth signal they need to recognize an authoritative source rather than a site that happened to publish one relevant article by accident.

Critical

Most businesses publish isolated blog posts and wonder why AI never cites them. Without cluster architecture and schema markup, AI platforms literally cannot tell whether your expertise is real or incidental. Structure is the difference between invisible and recommended.

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Why Real Estate Is One of the Strongest AEO Verticals

Real estate is a high-trust, high-stakes transaction. People research extensively before they ever reach out. When your content correctly explains how LA rent control relocation fees are calculated, how Proposition 19 transfers affect a family's tax basis, or how AB 2424 changed a seller's foreclosure timeline, you have demonstrated expertise before the first phone call. The trust is pre-built.

Buyers who research before contacting an agent
95%
Home searches starting online
97%
Clients who trust expert content over ads
82%
Agents actively doing AEO
<3%

AEO does not just get you found. It gets you chosen. And in real estate, being chosen before the first conversation is the single most valuable competitive advantage you can build.

AEO works for any local service business, not just real estate. See how AI views your industry.

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Industries Where AEO Produces the Strongest Results

The strategy documented in this case study is not limited to real estate. AEO works best for any business where potential clients ask complex, high-stakes questions before making a decision.

IndustryWhy AEO WorksCompetitive Window
Real EstateHigh-stakes, research-heavy decisionsOpen now
Law FirmsComplex questions, trust is everythingOpen now
Medical/DentalPatients research conditions before choosingOpen now
Financial AdvisorsHigh-trust, high-value relationshipsOpen now
Home ServicesHomeowners ask AI for recommendationsWide open
Key Takeaway

If your clients Google questions before they call you, they are also asking AI. The only question is whether AI sends them to you or to your competitor.

Find out exactly how AI platforms see your business right now.

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How to Start Getting Recommended by AI Today

You do not need to implement everything at once. Here is the priority order based on what moved the needle fastest in this case study:

Step 1: Audit Your AI Visibility

Ask ChatGPT, Claude, and Perplexity to recommend a business like yours in your area. If you are not mentioned, you know the starting point.

Step 2: Identify Your Topic Clusters

What are the 3-4 areas where you have genuine expertise that clients ask about? Those become your content clusters.

Step 3: Build Hub-and-Spoke Content

Create one comprehensive hub guide per cluster, then build 4-6 spoke articles answering specific questions within each topic.

Step 4: Implement Full Schema

Add Article, FAQPage, BreadcrumbList, LocalBusiness, and relevant schema types to every page. This is how AI platforms understand your content.

Step 5: Monitor and Iterate

Track which content AI platforms cite. Double down on what works. Fill gaps where competitors are getting cited instead of you.

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Frequently Asked Questions

What results can a local business expect from AEO?

Results vary significantly by niche, market competition, content investment, and baseline visibility. This case study shows an 89% click increase in 90 days, growing from hundreds of monthly clicks to over 8,400. AI citations typically begin appearing within 60 to 90 days of consistent, schema-optimized content publication.

How long does AEO take to produce results?

This real estate team saw measurable traffic growth within the first 30 days and significant ranking improvements by month two. Closed deals attributed to content began appearing in the fourth month of the content push.

Can AEO actually generate leads and closed business?

Yes. This case study documents 5 closed real estate deals in 2026 directly attributed to blog content, including one client who discovered the agent through ChatGPT before ever visiting the website.

What is the difference between AEO and traditional SEO?

Traditional SEO targets Google rankings. AEO targets AI citations, getting your business recommended by ChatGPT, Perplexity, Claude, and Google AI Overviews. The two complement each other; AEO adds schema markup, FAQ structures, and topical cluster architecture that SEO alone does not address.

Does AEO work for real estate agents?

Real estate is one of the strongest AEO verticals because buyers and sellers ask extremely specific, high-stakes questions that AI platforms actively try to answer. Agents with documented local expertise in complex niches like probate, rent control, and inheritance are particularly well-positioned.

How much does Answer Engine Optimization cost?

Pricing depends on scope and industry. Request a free blind spot report to get a custom recommendation, or call (213) 444-2229 to discuss your needs.

Still have questions? We are happy to walk you through everything.

Email support@theanswerengine.ai →

Individual results vary based on niche, market competition, content investment, and baseline visibility. The results documented in this case study reflect a full-commitment content engagement. Past results do not guarantee future outcomes.

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Written by Justin Borges

Justin Borges is the founder of The Answer Engine, a Pasadena-based AEO agency helping local service businesses get cited by ChatGPT, Claude, Perplexity, and Google AI Overviews. His methodology combines proprietary voice capture interviews, hub-and-spoke content architecture, and full technical schema implementation. Justin also leads The Borges Real Estate Team at eXp Realty, where the strategy documented in this case study was first developed and validated.

Learn more at TheAnswerEngine.ai →

Ready to Become the Business AI Recommends?

This case study started with a simple question: what happens when deep expertise meets the right content strategy? The answer: 89% click growth, 2.9M impressions, 5 closed deals, and a ChatGPT referral. Your results start with your free blind spot report.

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