VPS - production of electrical products
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Customer
VPS
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Category
Online Store
Link
The company produces and sells electrical products made of phenolic, polystyrene, polypropylene, polyethylene, ABS, plastic composite.
Project
The goal of the project is to create a catalog website for promoting the company's products and services.
The website was required to contain:
- information about products and services;
- contact information;
- the ability to download price lists and technical documentation for products;
- the ability to order products directly from the catalog;
Implementation
The design and layouts of all pages have been developed, markup has been completed, and a template for the content management system (CMS) has been created. The template is adapted for all types of devices: it displays correctly on mobile phones, tablets, laptops, and desktop monitors.
A custom plugin has been developed for the product catalog. The website features multilingual support.
SEO (Search Engine Optimization)
As part of the project, basic technical requirements for successful indexing and ranking of the website in search engines have been implemented:
- Semantic core: relevant search queries have been collected and integrated, distributed across pages (H1–H3, Title, Description).
- Technical audit: human-readable URLs have been configured, correct internal linking has been set up, as well as robots.txt and sitemap.xml files for accelerated indexing.
- Loading speed: media file optimization (WebP format, compression) and code minification have been performed, achieving high scores in Google PageSpeed Insights.
- Responsive design and usability: mobile adaptation has been implemented with behavioral factors in mind (ease of navigation, element clickability).
- Microdata: basic Schema.org markup has been added to improve the snippet in search results (breadcrumbs, contacts).
Promotion in Neural Networks (AI Traffic)
Considering the trends in AI search development (Perplexity, SearchGPT) and neural network recommendations, we proposed and implemented solutions to attract this traffic:
- Natural Language Semantics (NLP): LSI phrases have been used so that AI algorithms understand the context of the page, not just a set of keywords.
- Focus on E-E-A-T: real photos and case studies have been added — for neural networks, the level of trust is important (Experience, Expertise, Authoritativeness, Trustworthiness).
- Structured data: in addition to classic SEO, data is marked up so that AI bots can quickly extract the essence (price, specifications, advantages) for voice responses.
Result
The website has received a clean, technically sound foundation that will allow an SEO specialist to build up positions in the future without redesigning the architecture. Thanks to the implemented AI-friendly structure, a base has been laid for receiving traffic from a new generation of search systems that will be able to recommend this website as a reliable source.
