How We Increased AI Citations 35% for a Custom Luxury Home Builder  

MarketEngine helped a Florida-based custom luxury home builder increase AI citations 35%, from 92 to 124, while expanding cited website pages 37%, from 52 to 71, creating a broader presence across AI-driven buyer discovery.

Since we started working together, we’ve seen strong and consistent growth across organic search, AI visibility, and our outbound campaigns. MarketEngine understands our business, brings us new ideas, stays ahead of changes in search and AI, and focuses on results that matter.

David Hunihan CEO, Lee Wetherington Homes

Key Outcomes

  • 35% increase in AI citations — from 92 to 124
  • 71 website pages now cited by AI — up from 52
  • 80 cited pages at peak during the six-month period

Industry: Custom Luxury Home Building
Market: Luxury Residential Construction
MarketEngine Program: AEO, AI Search Visibility, SEO & Content

The Luxury Home Builder Needed to Become More Than a Search Result

For a luxury home builder, being discoverable increasingly means appearing wherever prospective homeowners conduct research, not only traditional search results, but also AI-generated answers that help buyers understand builders, communities, home styles, design considerations and the custom-building process.

Traditional SEO visibility alone does not guarantee that a brand will become part of those AI-generated answers.

For content to be useful in AI-generated answers, its information needs to be discoverable, understandable in context, and suitable for use as a supporting source. This creates a different visibility challenge for brands competing for attention during complex, research-heavy buying journeys.

For this luxury home builder, the opportunity was to strengthen its presence within this emerging discovery layer.

The objective was to move beyond:

Being Found in Search

to:

Being Understood
→
Being Considered
→
Being Cited by AI

The goal was not simply to increase mentions of the brand. It was to build a deeper content ecosystem that AI systems could discover, understand and use as a source.

Building a More Citable Knowledge Ecosystem for AI Discovery

MarketEngine approached AI visibility as an extension of the client’s broader organic search and content strategy.

Rather than creating isolated pieces of content for AI, the focus was on building stronger topical coverage and making useful information easier for AI systems to understand and reference.

The program focused on relevant components including:

  • Topical authority development
  • Topic clusters
  • Semantically complete content
  • AI-ready answer blocks
  • Buyer-focused questions and answers
  • Structured, easily extractable information
  • First-party expertise and project knowledge
  • SEO and content optimization
  • Internal linking between related information
  • Content expansion and refreshes

These elements worked together to create a connected knowledge ecosystem around the topics prospective luxury homebuyers research.

The objective:

Be Discovered
→
Be Understood
→
Be Trusted
→
Be Cited

Instead of optimizing solely for where a page appeared in traditional search, MarketEngine focused on increasing the number of useful, contextually relevant sources the client’s website could provide to AI-driven discovery.

AI Citations Grew 35% as More of the Website Became Citable

In April 2026, the custom luxury home builder recorded 92 AI citations.

By September 2026, that number had reached 124.

92 → 124 AI Citations

Result: 35% growth in AI citations

The strongest month was May, when the website generated 155 AI citations, followed by 143 in June, 119 in July, 136 in August and 124 in September. This shows that AI visibility was not dependent on a single month or a single page. The website maintained a substantial citation footprint throughout the six-month period.

AI Began Citing a Broader Set of Website Pages

The number of pages being cited by AI also expanded significantly.

In April, 52 pages were being cited.

By September, 71 pages were being cited.

52 → 71 Cited Pages

Result: 37% growth in the number of cited pages

The website reached its highest cited-page count in August, with 80 pages being cited.

This is an important distinction.

AI visibility was not simply concentrated around a handful of high-performing pages. A broader portion of the website was becoming useful as a source of information.

This indicates that AI visibility was extending beyond a small group of high-performing pages.

From a Few Visible Pages to a Broader Knowledge Ecosystem

The growth in cited pages indicates that AI visibility extended across a wider range of the client’s website.

For a custom luxury home builder, this broader content ecosystem can support different stages of buyer research, including:For a custom luxury home builder, this broader content ecosystem can support different stages of buyer research, including:

The strategic value is that each useful page can contribute to the overall entity and topic understanding surrounding the brand.

Instead of having one page answer one question, the objective is to create an interconnected body of information that demonstrates expertise across the broader subject.

The Growth Was About More Than Brand Mentions

AI mentions moved from 134 in April to 92 in September, with the highest monthly count of 137 in May.

That fluctuation should not be interpreted on its own as a decline in AI visibility.

The more meaningful indicators in this dataset are AI citations and cited-page coverage.

While mentions fluctuated, the website’s citation footprint expanded:

AI Citations:
92 → 124

Cited Pages:
52 → 71

This means the website was being used as a source across a broader set of pages, even as the volume of tracked brand mentions varied month to month.

That distinction is important for an AEO program: being mentioned and being cited are not the same visibility outcome.

A Larger Citable Footprint Creates More Opportunities to Enter AI-Driven Research

The path MarketEngine was building can be represented as:

AI Discovery
→
Brand Mention
→
Website Citation
→
Buyer Research
→
Website Visit
→
Sales Conversation

The available data does not establish direct attribution from AI citations to website leads or sales, so those outcomes should not be claimed as an AI-specific result. 

What the data demonstrates is that the custom luxury home builder expanded its presence within the AI discovery layer and increased the number of website pages being cited.

That gives the brand more opportunities to appear as a source when prospective homeowners research relevant topics through AI.

The Custom Luxury Home Builder Built a Broader Position in the Emerging AI Discovery Channel

35%

Growth in AI Citations

71

Pages Cited by AI in September

80

Peak Cited Pages

155

Peak Monthly AI Citations

6 Months

of Measured AI Visibility

The results demonstrate a broader shift from simply having online content to having more content that can participate in AI-generated discovery.

Turning a Website Into a Broader Source for AI-Driven Buyer Research

The luxury home builder entered the AEO program at a time when traditional search visibility was no longer the only discovery layer influencing prospective buyers.

MarketEngine focused on expanding the client’s topical coverage, improving content structure and creating a more connected knowledge ecosystem designed to be understood and cited by AI systems.

Over the six-month measurement period:

  • AI citations increased 35%, from 92 to 124.
  • Cited pages increased 37%, from 52 to 71.
  • The website reached 80 cited pages at its peak.
  • AI citations reached a high of 155 in May 2026.

The result was a larger AI citation footprint, with more of the client’s website appearing as a source within AI-driven buyer discovery.

35% More AI Citations. 71 Cited Pages. A Broader AI Discovery Footprint.

Want to know how visible your brand currently is in AI search visibility and where the biggest opportunities lie? 

FAQs

Answer Engine Optimization is about making your content citable by AI systems like ChatGPT and Google’s AI Overviews. Buyers are already using these tools to research, the brands showing up as sources now are building a real head start.

Not at all. We track concrete metrics like AI citations and the number of distinct pages being cited over time. This client went from 92 to 124 citations and from 52 to 71 cited pages, measurable, trackable progress.

AEO builds on strong SEO but places additional emphasis on semantically complete, well-structured and easily extractable answers that can be more readily interpreted and used in AI-generated responses.

No one can guarantee individual citations, AI systems decide sourcing in real time. What we can do is build a broader, more trustworthy content ecosystem that improves the conditions for your content to be discovered, understood and potentially cited.

Naren Patil
Naren Patil
Founder & CEO, MarketEngine

Naren Patil is the former GM and Head of Product Marketing at Saba Learning, a $100 million business. He also served as SVP of Marketing and Demand Generation at NGDATA, Director of Product Marketing at Oracle, and Head of Product at TriNet.

Naren has spoken at TiECon Silicon Valley, Northwestern Kellogg, TiE Atlanta, and TiE Mumbai, and has been featured in publications such as Forbes. He holds an MBA from the Kellogg School of Management at Northwestern University.

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