Valecasa

Valecasa is a high-end bespoke furniture manufacturer serving both residential and commercial real estate projects. Their craftsmanship sits behind some of the most recognizable luxury interiors, yet when prospective clients and specifiers asked AI assistants who could produce custom, high-end furniture, Valecasa was nowhere to be found. All of that credibility was locked inside finished projects that AI systems never connected back to them.

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Objective

Make Valecasa the manufacturer AI systems name when people ask about high-end bespoke furniture for residential and commercial spaces, and convert that visibility into a consistent stream of qualified inbound leads.

Challenges

Zero AI visibility

When buyers asked ChatGPT or Google AI Overviews about custom furniture makers, Valecasa was never mentioned, despite a portfolio of prestigious completed projects.

Reputation trapped in projects

Their strongest asset was the calibre of projects they had delivered, but that association lived in photos and press, not in anything AI models could retrieve and attribute to them.

Niche, high-consideration category

Bespoke furniture is a low-volume, high-value category where a single recommendation can be worth a major contract, so accuracy and positioning mattered more than raw traffic.

Residential and commercial split

They needed to show up credibly for both homeowners and commercial developers, two audiences that ask very different questions.

Solution strategy

1. Portfolio-adjacent positioning
   We positioned Valecasa directly alongside the prestigious, reputable projects they had already completed, so AI systems associate them with that established credibility.

2. Borrowing client reputation
   By tapping into the recognition of the high-end brands and developments in their portfolio, we let Valecasa inherit visibility from the success and reputation of their clients.

3. Entity and authorship building
   We made the connection between each landmark project and Valecasa explicit and retrievable, so models attribute the work to them by name.

4. Query-aligned content
   We structured content around the exact questions residential and commercial buyers ask AI about sourcing custom, high-end furniture.

5. Coverage across LLMs
   We optimized for the surfaces driving their category, focusing on ChatGPT and Google AI Overviews where their buyers were already searching.

Outcome

Valecasa went from zero AI visibility to being actively named and recommended, turning AI conversations into a consistent pipeline of high-value inbound:

• +59% Lead growth sourced from LLMs
• 6–7 figures Typical contract value per project
• #1 Named in ChatGPT & Google AI Mode
• New revenue Directly attributed to AI-sourced leads

Results

Real AI answers and inbound messages, straight from prospects who found them through AI.

Key achievements

59% lead growth

Valecasa saw a 59% increase in leads sourced from AI, going from no AI-driven inbound to a steady, repeatable flow of qualified enquiries.

High-value contracts

Because each bespoke project runs into 6–7 figures, every AI-sourced lead that closes translates into significant new revenue for the business.

Named in AI answers

Google AI Mode now names Valecasa as the producer of furniture for landmark projects, citing their profile directly.

Inbound from ChatGPT

Prospects report finding Valecasa through ChatGPT, visiting the site, and reaching out directly to start high-value projects.

Compounding reputation

Each attributed project strengthens the association, making Valecasa progressively more likely to be the recommended answer, and expanding the pipeline beyond one-off commissions.