Case study
Redinmo Tanger
The rebuild of a Tangier real estate agency's website, designed to be found on Google and in the answers of AI assistants.
- Year
- 2026
- Services
- Technologies
- Next.js, React, TypeScript, Tailwind CSS, Drizzle ORM, Redis, sharp, TipTap, Nodemailer, GSAP, Lenis, JSON-LD, GitHub Actions
01 / Context
Overview
Redinmo is a real estate agency in Tangier that sells and rents apartments, villas and offices, and manages rentals on behalf of owners. We first took over the search work on its website in French and Spanish, then designed its new platform, where every page is structured to be read by Google as well as by ChatGPT, Perplexity or Google's AI Overviews. The search work opened a new channel, because the agency now receives two to three enquiries a week from clients who found it by asking an AI assistant.
02 / Starting point
What the project had to solve
A buyer or tenant looking for a property in Tangier starts on Google, and more and more often asks an AI assistant directly. An agency therefore has to appear in both places, with listings that search engines understand, pages that answer clients' real questions and a Spanish version for foreign clients. The site also had to stay easy for the agency to keep up to date, since it publishes its own properties.
03 / Scope
Scope
We took over the search work on the existing site, then designed and built the new platform, with the public site in French and Spanish, the agency's back office and the migration of all existing content, from articles to listings and media. The new platform keeps every address Google already knows, because a rebuild that changes addresses loses the rankings already earned.
04 / Decisions
Decisions
Every article on the site answers a specific question from a buyer, seller or tenant in Tangier, because clients put their questions to AI assistants as questions. The Spanish version is written in Spanish and declared to search engines page by page, with its own commercial pages and listings. On the new platform, every listing describes its property in structured data, with its price, type and location, so an engine reads that information without having to interpret the page. A listing changed in the back office is up to date on the site as soon as it is saved.
05 / Build
What we built
Visitors search for a property from the home page, then narrow it down by type, neighbourhood, number of bedrooms and budget, with sorted results. Each listing brings together the photo gallery, the map, the video, the virtual tour and the floor plans when the agency provides them, with a quick view and one-tap sharing. Clients contact the agency on WhatsApp or through a form, and their enquiry goes straight to the agent in charge of the property by email, so nobody has to forward it. In the back office, the team creates and edits its properties and articles in a rich text editor, manages its property types and amenities, and every uploaded photo is resized, converted and watermarked with the agency's name. On the current site, we meanwhile published the question-and-answer articles and the commercial pages in French and Spanish, rebuilt the sitemap, lightened the pages for mobile and set up tracking of every contact request.
06 / Technology and integration
Technology and integration
The platform is built in Next.js 16 with React 19, TypeScript and Tailwind CSS 4, and its animations run on GSAP and Lenis. Data goes through Drizzle ORM, sessions and login protection through Redis, while photos are processed by sharp and kept in S3-compatible object storage. Enquiries go out by email with Nodemailer, and content is written in the TipTap editor and sanitised before publication. Every page publishes its structured data in JSON-LD, for the agency, the breadcrumb trail and each listing with its offer, and a search audit runs every week on GitHub Actions, alongside a daily watch on Google's updates.
07 / Results
The results
The agency receives two to three enquiries a week from clients who found it through an AI assistant.
The site answers in French and Spanish, and each version is declared to search engines.
The site's articles answer the questions of buyers, sellers and tenants in Tangier.
Every contact request, by form or on WhatsApp, is tracked.
The new platform keeps every address Google already knows.
The new platform's back office lets the agency publish its properties without a developer.
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