Bolgarskiydom

Client:

Taras Rozgon

Bolgarskiy Dom is an aggregator for apartment sales in Bulgaria. Over 10 of our people worked on launching this project, creating a database of 5,000 apartments (as of 2024).
Bolgarskiydom
Taras Rozgon

Client Goal

The client is a real estate agency specializing in property sales in Bulgaria. When they first approached us in 2011, they already had a strong entrepreneurial founder and a dedicated team. However, their existing website was outdated, poorly structured, and not built for long-term SEO growth.The website had not been properly optimized for search engines and was affected by multiple search engine penalties. Before working with us, the client had already partnered with another SEO team, but the results did not meet expectations.

We agreed to begin by promoting the existing website with one important condition: after achieving the first measurable results, we would develop a new website with a stronger structure and more flexible functionality for future SEO growth.

The project goals included developing a new website, migrating the real estate catalog, automating lead management for the sales team, preserving existing search visibility, and resolving the search engine restrictions affecting the old site. We also expanded the website structure with new sections designed to attract additional target audiences.

Solution

We developed a real estate catalog that included the key characteristics required for different types of properties. For each target audience, we created dedicated landing pages with carefully selected property listings. Leads were collected through forms on landing pages and individual property pages.

Every inquiry from a potential client is registered in the CRM system. The CRM stores the customer history, supports further communication, helps generate offers, and organizes the work with each lead. This allows the managers to work with every client individually.

Design

After analyzing the search semantics, we identified several types of user intent. Based on that, we prepared different landing pages so users could find suitable properties more easily.

The idea was simple: people search for real estate in different ways. Some care most about pricing, others focus on location. Some users search by several criteria at once, while others prefer to contact a real estate manager and receive personal assistance.

We built four primary user journeys:

  • Homepage search with 22 filtering criteria
  • Search by residential complex
  • Curated apartment selections based on property type, city, and budget
  • Consultation request form for connecting with a real estate manager

Both the mobile and desktop versions were developed based on UX audit findings and user behavior analysis.

Screenshot of the desktop version of the BolgarskiyDom homepage, featuring a real estate directory, property listings, and informational sections
A screenshot of the “Bulgarian House” mobile website featuring a real estate catalog, property listings, and informational sections
Screenshot of the desktop version of the real estate page on the “BolgarskiyDom” website, featuring photos, a description, details, and a contact form
A screenshot of the mobile version of a property listing on the BolgarskiyDom website, featuring photos, a description, specifications, and a contact form
A screenshot of the desktop version of the BolgarskiyDom contact page, featuring a quick consultation form, contact options, and a list of offices
A screenshot of the mobile version of the BolgarskiyDom contact page, featuring a quick consultation form, contact options, and a list of offices

Web development

We built the website according to modern development standards. At the same time, we took into account the complex page structure and the need to scale the project in the future. We also implemented several third-party integrations and automated processes in the admin panel, helping the client’s team save time every day.

Illustration of caching settings to speed up the real estate directory and reduce server load
A dashboard showing cache and redirect keys with hit, set, and missed statuses

Caching

To keep the catalog stable and responsive, we implemented advanced caching mechanisms. Because the website contains a large number of property pages, filters, curated selections, and multilingual versions, it was essential to reduce server load and improve content delivery speed.

The caching system allowed pages to load significantly faster during periods of high search traffic and improved the website’s overall stability and reliability under increased load.

Integrations

AmoCRM

We integrated AmoCRM to help manage the flow of incoming clients.

Telegram API

We implemented a Telegram API integration to automatically publish new property offers to a Telegram channe

Leaflet + OpenStreetMap

Interactive maps were added to property pages to show each property’s location

Illustration of the website's integrations with AmoCRM, the Telegram API, and OpenStreetMap for processing requests, publishing listings, and displaying locations
An example of automated content translation for updating property descriptions across multiple language versions of the website
Illustration of a content translation automation tool for updating property descriptions in different languages

Translation Automation

The project grew to five separate language versions, so we set up a process in the admin panel to simplify content updates through automated translation. The team can now publish new properties faster and keep descriptions up to date across all language versions.

Spam Filtering

We protected the inquiry forms from spam so that managers receive real requests from potential clients. For a project with many landing pages, this is especially important: inquiries come from different parts of the website, and without filtering, part of the team’s working time would be spent processing irrelevant messages. Spam protection helps maintain the quality of incoming leads and allows the team to respond to users faster.

SEO

Removing Search Engine Filters

Search engine filters are restrictions that limit a website’s visibility. A website affected by such filters cannot reach high positions or generate significant organic traffic.

After the work of previous SEO providers, the website had to be brought out of Yandex’s Minusinsk filter without major losses. Work on the project continues on an ongoing basis. The website stays aligned with current trends while maintaining its leading market positions and remaining convenient for users.

Project Architecture

We paid close attention to the URL hierarchy, the structure of property pages, and internal linking across the website.

We also planned a clear separation between new-build properties from developers and resale properties. In addition, we implemented selections by property type, budget, and location.

An Example of Real Estate Marketing Based on Regional Search Queries
tg_image_2923332593

Multiregional Promotion

The project covers the sale and purchase of apartments across all cities in Bulgaria.

That is why we planned city-specific landing pages within the site structure and optimized them for search queries containing relevant place names.

Language Targeting

The multilingual structure helps reach users who do not speak Bulgarian or English. These users may be located in different countries.

Languages on the website:

  • en - English
  • ua - Ukrainian
  • de - German
  • pl - Polish
  • ru - Russian

High-Quality Content

For every property submitted for sale, we add:

  • Meta Title and Meta Description with the price and geographic references
  • Alt and title attributes for every image in the gallery
  • Additional information in the property characteristics

Semantic Core

The website has a highly structured and deeply branched architecture, so we developed dedicated keyword clusters for each page type.

Landing pages — including curated selections and individual property pages — consistently receive organic traffic from both Yandex and Google.

Semantic Core of the Website

Outreach

We place backlinks on external resources, focusing on traffic-generating platforms — major regional websites across CIS countries with existing audiences interested in real estate, relocation, and purchasing property abroad.

For this project, the priority was not mass link building, but placements on active, relevant platforms with real audiences and topical content. These publications strengthened the website’s backlink profile, supported long-term SEO growth, and generated additional traffic from relevant external sources.

Marketing

The core marketing activities remained on the client’s side, since they were closely tied to the agency’s day-to-day operations and sales process. Our role was to support these efforts through digital marketing strategies connected to the promotion of the real estate portal.

An example of how to use reviews and trust badges on a real estate agency's website

SERM & Review Management

We implemented review publication systems on the website to strengthen trust and credibility around the agency. For real estate businesses, this is especially important, since many clients make purchasing decisions remotely and want proof of other buyers’ experiences as well as confirmation of the company’s public reputation.

We also emphasized the importance of collecting authentic reviews on platforms such as Yandex Maps and Google Maps.

Website Blog

We create expert blog articles designed to attract potential clients during the early stages of their decision-making process.

For example, a user may only be starting to explore the idea of purchasing property abroad and comparing different countries for investment opportunities. Informational content allows the project to capture this demand early and build trust before direct inquiries begin.

Illustration of an expert blog about buying property abroad and choosing a country for investment
Blog

News Content

We publish news and analytical content related to the real estate market.

This includes updates on residential real estate trends, price changes across different cities, expert commentary on long-term market forecasts, and important legislative changes affecting buyers and investors.

This content helps readers better understand developments within the Bulgarian real estate market and identify favorable periods for investment.

Social Media

We manage content for Yandex Zen as an additional channel for expert publications and informational articles.

These publications help attract audiences researching the Bulgarian real estate market, comparing buying options, and gradually forming interest in consultation or purchase inquiries. This also generates additional website traffic and strengthens the project’s visibility within Yandex’s ecosystem.

Results

Illustration of organic traffic growth after optimizing the website structure and landing pages

Organic Traffic

Organic search became the project’s primary client acquisition channel. After removing search restrictions, rebuilding the website structure, and expanding landing pages, the project achieved stable long-term growth in search visibility.

The website began successfully capturing demand across cities, property types, budgets, and multiple search scenarios related to buying real estate in Bulgaria.

Leads

The website evolved into a fully functioning sales tool. Users submit inquiries directly from property pages, curated selections, and consultation forms, while managers receive leads automatically through CRM integration.

Today, the platform consistently generates qualified inbound leads.

Illustration of processing website inquiries and transferring client requests to the CRM

SEO in AI — How the Website Appears in ChatGPT

Artificial intelligence has already become part of modern search behavior. The project has started appearing in recommendations generated by ChatGPT for queries related to buying real estate in Bulgaria, both in Russian and English.

This demonstrates that the website is recognized as a relevant source not only within traditional search engines, but also within AI-driven search and recommendation systems. The results can be verified through real search examples.

Portfolio

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