EZY.ai helped UK property developer Galliard Homes increase visibility inside AI search engines, including ChatGPT, and generate qualified property enquiries. Within 6 weeks, they received their first enquiry from ChatGPT. It converted. Final sale value: £800,000.
Customer
Galliard Homes galliardhomes.com
UK property developer with a large portfolio of London developments.
Objective
Increase visibility inside AI search engines, including ChatGPT, and generate qualified property enquiries.
The Situation
Galliard Homes had strong brand recognition and a large portfolio of London developments. However, their website was built for traditional SEO.
- It was not structured for AI answer engines.
- There was limited Schema coverage across key property pages.
- No AI-focused content architecture.
- No direct integration with Bing Webmaster Tools.
What We Did
1. Fixed the Foundations
We implemented structured data across core property and property development pages using the EZY Schema Widget. This ensured:
- Clear entity definition
- Machine-readable property data
- Consistent Schema across the site
We asked Grok, Gemini and Claude to independently score the EZY-generated Schema out of 100, and the score given was 96 for AEO. An increase from 36%, which is typical for most websites.
Beyond standard schema, EZY.ai generated AI-native knowledge layers that explicitly expose real estate entities and relationships that traditional SEO does not structure. For Galliard Homes this included:
- Individual Property entities with unit type, availability status, and development association
- Precise Location entities linking properties to neighbourhoods, transport hubs, and London boroughs
- Pricing context ranges mapped to specific unit types and developments
- Development entities connecting multiple properties under each residential project
- Buyer-intent attributes such as off-plan status, completion timelines, and investment suitability
- Relationship graphs linking developments to surrounding amenities, schools, and transport
All surfaced in machine-readable formats designed for large language models, not just search crawlers. This allows AI systems to understand: which properties exist, where they are located, how they relate to specific developments, what price context applies, and when each unit is relevant to buyer queries.
2. Improved Structure with AI-Ready Content
We expanded content using targeted blog posts focused on location, property type, and buyer intent. Each post used:
- Structured Q&As
- Optimized meta data and schema
- Internal links for entity reinforcement
Topic clustering created a stronger semantic footprint around key developments, including Deptford, London. For more on EZY-generated blogs, see Why EZY.ai's Automated Blog Widget Is Built for AEO.
3. Connected to Bing via EZY Search Console Widget
Since ChatGPT live search relies on Bing indexing, EZY:
- Submitted the site to Bing Webmaster Tools
- Ensured crawl clarity
- Improved indexing consistency
Using the EZY Search Console Widget. This increased discoverability inside AI-driven search environments. Bing is not only used for ChatGPT live search, but also Grok and Microsoft Co-Pilot.
4. Measured AI Performance
Using the EZY Performance Dashboard, Galliard Homes were able to track:
- GPT visibility
- Microsoft Co-Pilot visibility
- AI traffic patterns
- Content surfacing signals
We observed 36% AI discovery growth within 6 weeks.
The Result
Galliard Homes received their first property enquiry originating from ChatGPT. The enquiry was for a development in Deptford, London. The enquiry converted.
Final sale value: £800,000.
Why This Matters
This was not paid traffic. Not Google Ads. Not traditional SEO ranking alone. This was AI-driven discovery.
Answer engines are becoming part of the buyer journey, particularly for high-consideration purchases like property. If your website is not structured for AI comprehension, you are missing a new distribution channel.
Key Takeaways
AI search visibility is not accidental. It requires:
- Structured data foundations
- Clear entity architecture
- AI-ready content structure
- Proper Bing indexing
- Measurable performance tracking
FAQ
Can ChatGPT generate property enquiries?
Yes. When a website is structured for AI comprehension, with proper Schema, entity architecture, and Bing indexing, ChatGPT can surface your properties in response to relevant queries. As Galliard Homes demonstrated, qualified enquiries can convert to real sales.
Does Bing indexing affect ChatGPT visibility?
Yes. ChatGPT's live search relies on Bing's index. If your site is not properly submitted and indexed in Bing Webmaster Tools, you are invisible to ChatGPT live search. Bing also powers Grok and Microsoft Co-Pilot.
How long does AI visibility improvement take?
Results vary, but Galliard Homes saw 36% AI discovery growth within 6 weeks and received their first ChatGPT-sourced enquiry in that timeframe. Foundations: Schema, Sitemaps, and Bing indexing should be in place first; content and entity reinforcement then accelerate visibility.