Changed the structure of the site

[Rakhiraqsdiwseo]

To create a redirect map, it was necessary to find all the pages. On the old site there are 30,000, on the new one - more than 100,000.

We encountered a difficulty. The site has a block from scanning - protection from IP addresses with suspicious actions. We had to collect a list of pages manually using the service sitemap file and the Yandex Webmaster panel. This is a lot of work, it took more than 20 hours of work of an SEO specialist.

2. We placed the new site on the upn.ru domain, the old one on the subdomain old.upn.ru.

3. Changes were made to the service file robots.txt for the domain upn.ru and the subdomain old.upn.ru. As a result, the old site was closed for search engines, and the new one was opened. The old site needs to be closed from indexing so that search engines do not downgrade the new one due to duplicating information on the old one.


The old site had a simple structure. For example, apartments were divided into one-, two- and three-room. On the new site, it was important for us to provide filtering by districts, types of houses, completion of construction, etc. In general, to do SEO clustering at the stage of designing the structure of landing pages.


Parameters for filtering real estate objects according to SEO search demand
We implemented a filter and created a separate page for each filtering parameter.


Filters on the main page before and after the move
Links to the main (parent) sections were bc data philippines phone number in the menu. Most of the pages were made sub-filtered. That is, as it should be in SEO clustering. Links to them with separate CHPU are available when selecting a specific filtering parameter.

Thanks to the coordinated work of our team and the customer, we achieved a good result:

We fully prepared the new site for the move, taking into account semantics and SEO clustering.
The contractor's programmers implemented most of our recommendations and those of Yandex and Google.
We organized the move within a few hours.
We avoided a drop in positions in the Top 10 and subsequently improved our positions.
Prevented a drop in traffic, including from search engines