Ento Çevre Sağlığı

The Problem

People looking for pest control usually search with a district and a pest name, such as “Mersin Yenişehir cockroach control”. The company needed a separate, meaningful page for every district in three provinces, for each type of place and pest.

In this industry, prices usually hide behind a “get a quote” button. The company wanted customers to see an estimated cost before they call.

Architecture

Local pages are generated from combinations of province, district, place and pest; the sitemap is built dynamically from the same combinations.

What I Built

• District and Service Pages

  Separate pages for 42 districts and neighbourhoods in three provinces, by type of place such as homes, restaurants, hotels and ships, and by pest such as cockroaches, rats and bed bugs.

• Price Calculator

  An estimated price per m² in four steps by choosing the service, the pest and the area; extra sessions a pest needs are added as a percentage.

• Pest Guide

  Guide pages on pests, from cockroach species to rodents and mosquito larvae.

• Product Catalogue

  Vector control and semi-professional products, together with the pests they control.

• References

  A list of references that can be filtered into food and non-food businesses.

• Page-Level SEO

  Every page has its own title, description, Open Graph tags, image alt texts and frequently asked questions; each district page links to the service pages in that district.

Hard Problems I Solved

1. 1

   SEO as the Backbone

   I built the site around search intent: people search for “province + district + place or pest + pest control”, so every combination has its own URL, title, description and questions. District and service pages link to each other, and a sitemap covering more than 2,200 URLs is generated dynamically. Most of the work on the site went into this structure.

2. 2

   Thousands of Pages Without Duplicates

   Combinations of district, place and pest produce more than 2,100 local pages. I gave each district its own text about its climate, building stock and main industries, so the pages do not read like copies of each other.

3. 3

   Showing the Price Instead of Hiding It

   Instead of a quote form, I built a calculator that asks for the service, the pest and the area step by step. Pests that need several sessions, such as bed bugs, raise the price; those solved with gel bait, such as ants, lower it.

4. 4

   Structured Data for Local Search

   I marked up the cities served, the services offered, the opening hours and the frequently asked questions as schema.org data on every page.

Technologies

• Laravel
• PHP
• PostgreSQL
• Tailwind CSS
• Vite

Related Services

• Business Web Software