Скачать или смотреть Damian Salkowski & Emil Tomczyñski - Practical Application of Language Models

Damian Salkowski is an entrepreneur and SEO specialist with many years of experience. He is a speaker at dozens of conferences, author of several books, and has written dozens of articles in the industry. Damian specializes in the use of data in the SEO process.

Emil Tomczyński has extensive experience in internet marketing, particularly in international projects (e.g., Procter & Gamble, Boehringer Ingelheim), focusing on SEO consulting and data science. He is interested in applying quantitative data analysis to enhance the competitiveness and value of companies.

Emil Tomczyński and Damian Salkowski discuss key points in this panel video:

They emphasize the significance of SEO content for OBI, driven by the ROPO (Research Online Purchase Offline) effect, based on insights from the Google Consumer Barometer study in Poland. They highlight the critical role of focusing on category pages and explore the benefits of automated content creation using artificial intelligence.

They also address the challenges associated with AI-generated content, providing an overview of common issues in AI content creation. Practical tips are shared alongside a detailed cost and savings analysis, emphasizing the financial advantages of SEO content and automation.

Future optimization strategies are outlined, including approaches to enhance product descriptions, architectural optimization, internal linking, and market expansion. They present case study results demonstrating increased URL visibility, traffic growth, improved site dwell time, reduced bounce rates, and significant cost savings.

The discussion covers safety measures for implementing SEO content, ensuring secure and effective practices on category pages. Finally, they outline plans for further development, focusing on continuous improvement and strategic growth.