Where buyers find what listings cannot show

Traditional property listings are written for search filters. Digital Lighthouse writes for how buyers actually search — in Google, in ChatGPT, in Perplexity, at midnight.

See the first case →

The problem

Every realtor in the Netherlands lists on Funda. Posts on social media. Waits. The buyer who searches "renovation project Den Helder with garden and split potential" at 11pm finds nothing. That buyer exists. They simply cannot find the property.

The method

Digital Lighthouse builds a supplementary discovery layer — not competing with the realtor, feeding them buyers they cannot reach.

01

Buyer intent research

Map what the right buyer actually types into Google, Perplexity, and ChatGPT before they ever visit Funda.

02

Persona-specific content

Three different buyers need three different stories. The investor, the self-builder, the green visionary — each gets their own page.

03

AI search visibility

GEO-optimised content that conversational AI engines index, trust, and recommend when buyers ask the right question.

04

Leads to the realtor

Every enquiry routes directly to the listing realtor. Digital Lighthouse finds the buyer. The realtor closes the deal.

Case study #1 — active experiment

Zuidstraat 84, Den Helder

A 140m² project property with architect-drawn split plans, southwest garden, and solar roof potential. Two viewings in six weeks from a traditional listing. Digital Lighthouse is running the experiment now.

Read the case study →

Work with Digital Lighthouse

If you have a property or a business that traditional marketing cannot find the right audience for — the channel that reaches them already exists. It just has not been built yet.

ahoy@digitallighthouse.online