Eco-Homebuilder Captures 16.3% AI Visibility

Project Overview

Organization

Eco-smart homebuilder (anonymised under NDA)

Industry

Real estate & construction - new-home development

Measurement

5 AI platforms, 830 non-branded category answers

Location

California

Key results for the client

#1/5

AI visibility rank in category

16.3%

Visibility across all category answers

63.1%

Share of AI voice vs named competitors

100%

Positive brand sentiment, zero negative mentions

Client Objectives

The challenges this homebuilder faced

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Strong Google rankings, zero AI presence

The brand had solid organic visibility in classic search. But across every tracked buyer prompt, it wasn't being named in Google AI Overviews, ChatGPT, Gemini, or any other AI surface.

Buyers had already moved to AI-first search

Before opening a listings site or a map, buyers were asking AI assistants "best eco-friendly new homes in California." High-intent comparisons like "move-in-ready homes in Irvine vs San Francisco" were returning AI-generated shortlists of three or four builders.

A differentiated identity that AI didn't know how to describe

The builder had clear, specific positioning: eco-friendly, all-electric, solar-powered, urban-infill. None of that was structured in a way AI models could find, read, and accurately repeat.

Competitors weren't winning either. For now.

Most direct competitors had minimal AI visibility. The category was largely unclaimed in AI search. Moving first, and building the entity signals that compound over time, would determine who owned these answers for the long term.

Mavlers Strategy

How a California homebuilder became the answer AI gives

Four disciplines - AEO, GEO, AIO/LLM - running on one SEO foundation. Eight factors treated together because models don't grade them separately.

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Made the pages readable to AI systems.

Audited crawl access, render behaviour, and how content resolves when an AI system fetches the page. JavaScript-only content invisible to crawlers, blocked resources, conflicting canonicals, slow render paths - fixed at the source.

Built entity signals around the differentiation.

Aligned name, service list, and category vocabulary across every property AI cross-checks — Google Business Profile, real estate directories, industry publications, California-specific listings sources. Eco-friendly, all-electric, smart-home, urban infill had to appear consistently attached to this builder wherever AI looked, or the identity gets diluted into the general category.

Schema built for how the parser reads.

Organization, LocalBusiness, Product (for individual communities), and FAQPage - marked up with the properties that matter for homebuilding recall: service area, community types, home features, price range, delivery status. Machine-readable context, not badge decoration.

Rewrote content for answerability.

Every tracked buyer prompt had a direct answer at the top of the relevant page section - complete sentences that resolve without surrounding paragraphs. Natural-language variations included, because a buyer looking for smart-home communities phrases the search ten different ways.

Third-party trust from sources AI verifies.

Real estate industry publications, California builder rankings, sustainability-focused property listings, review platforms models actually pull from in the homebuilding vertical. Reference quality over volume.

Prompt-level tracking across five AI platforms.

Each tracked buyer prompt queried on each engine, dated screenshots on file. Tracking captured citation share, share of voice against named competitors, and sentiment attached to each mention. Google AI Overviews, Gemini, ChatGPT, Perplexity, and Copilot - measured in parallel.

AI-referral traffic surfaced properly in GA4.

Custom events, referrer classification, and UTM handling rebuilt so AI-assisted sessions show up as a distinct channel with engagement rate, conversion, and enquiry data attached to the correct bucket instead of folded into organic.

Landing architecture matched to prompt intent.

Shortlist queries routed to community-comparison pages. Comparison queries (Irvine vs San Francisco) routed to region-specific inventory. Move-in-ready queries routed to quick-delivery pages with availability above the fold. Every citation earned had a page built to convert the intent behind it.

Results

What the homebuilder achieved

Category dominance. Across 830 non-branded category answers measured on 5 AI platforms, the builder holds 16.3% of visibility - leading the nearest named competitor by more than 3×.

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The AI is pulling directly from the builder's own pages.

2,580 total citations across 63 pages. The homepage alone appears in 84 AI answers.

Cited page	Citation share	Citing answers
Homepage	10.1%	84
Affordable places to live in California	1.8%	15
Average cost to build a house in California	1.6%	13
Northern California new homes	1.3%	11
About page	0.6%	5

We move faster, optimize smarter, and help you outpace competitors with AI behind every move.

Organization

Eco-smart homebuilder (anonymised under NDA)

Industry

Real estate & construction, new-home development

Services Used

AI Search Visibility, AEO, GEO, AIO/LLMO, SEO Foundation

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About

The client builds eco-friendly, all-electric, solar-powered, smart-home communities across California, focused on urban-infill and transit-accessible neighborhoods. Its real-world positioning was strong. Whether that translated into AI search, where buyers increasingly start their research, was unproven.

Challenges

Solid Google rankings but zero presence across AI Overviews, ChatGPT, and Gemini.
Buyers were already asking AI assistants for shortlists before visiting listing sites.
Differentiated positioning (eco, all-electric, solar, urban-infill) wasn't structured for AI models to find and repeat.
The category was largely unclaimed in AI search, leaving a first-mover opening.

Goals

Earn citations in AI-generated answers for category and comparison queries.
Make existing brand identity machine-readable.
Track visibility and share of voice across major AI platforms.
Route AI-driven traffic to pages built to convert that intent.

Solution/Approach

Fixed crawl and render issues blocking AI systems from reading pages.
Aligned brand vocabulary (eco-friendly, all-electric, smart-home, urban infill) across every third-party source AI cross-references.
Built schema (Organization, LocalBusiness, Product, FAQPage) around service area, features, price range, and delivery status.
Rewrote content so every tracked buyer prompt had a direct, complete answer at the top of the relevant page section.
Earned references from real estate publications, builder rankings, and sustainability-focused listings.
Tracked citation share and sentiment across Google AI Overviews, Gemini, ChatGPT, Perplexity, and Copilot, and routed each prompt type to a matching landing page.

Results

‍

‍

‍

The AI is pulling directly from the builder's own pages.

2,580 total citations across 63 pages. The homepage alone appears in 84 AI answers.

Cited page	Citation share	Citing answers
Homepage	10.1%	84
Affordable places to live in California	1.8%	15
Average cost to build a house in California	1.6%	13
Northern California new homes	1.3%	11
About page	0.6%	5

#1 of 5 in category AI visibility rank
16.3% visibility share across 830 non-branded category answers, 3x the nearest named competitor
63.1% share of AI voice vs named competitors
100% positive brand sentiment across all monitored mentions
24.0% answer share on Google AI Overviews, 23.0% on Gemini
2,580 total citations across 63 pages; homepage alone cited in 84 answers
Leads 5 of 6 core topic categories outright, several against 0% competitor presence

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The bigger win: AI engines now describe California's new-home category in this builder's own vocabulary, while most named competitors are absent from the same answers.

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Eco-Homebuilder Captures 16.3% AI Visibility

Project Overview

Key results for the client

The challenges this homebuilder faced

How a California homebuilder became the answer AI gives

What the homebuilder achieved

The AI is pulling directly from the builder's own pages.

About

Challenges

Goals

Solution/Approach

Results

The AI is pulling directly from the builder's own pages.

Results that speak for them selves.

Migrating 9,000+ pages across 12 languages

80% CPR reduction and 3x ROI over 6 years

35% cost reduction while scaling SEO delivery globally

Ready for AI search visibility?

Get in touch with us.

You’re all set!

Results that speak for them selves.