Case Study – B2C Platform, Online Courses

Technical optimization

Identified critical issues blocking or complicating indexation (incorrect canonical tags, robots.txt problems, duplicates, incorrect pagination logic).
All major technical obstacles were removed.

Full On-Page Optimization

Updated meta tags, headings, course descriptions, and implemented structured data (Schema.org) to improve snippets.

AI-focused promotion strategy

The link-building approach was adapted to meet the requirements of AI-driven search engines:

• Publications on high-quality, semantically relevant resources
• Shift of focus to the context surrounding backlinks
• Use of natural information sources indexed by large language models (LLMs)

Content Analysis & Optimization

Content was assessed for informational query alignment.
Key pages were updated for long-tail queries that frequently appear in AI responses.

Result

• Correcting technical errors allowed us to unblock the indexing of dozens of pages.
• Growth in crawlability and visibility in GSC
• Better presence in AI-driven search responses
• A strong base was established for continued expansion in the competitive US EdTech niche

Conclusion

Even without a large-scale content campaign, a proper technical setup and link building adapted to AI realities made it possible
to create an SEO foundation for sustainable organic growth of the B2C platform.