У нас вы можете посмотреть бесплатно How to Filter LLM Traffic In Google Analytics GA4 или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Large Language Models like ChatGPT, Gemini, Perplexity, and Claude are already sending traffic to websites. The problem is most GA4 setups do not clearly show it. In this walkthrough, I show you exactly how to create a GA4 report that isolates traffic from LLMs so you can see where AI-driven visibility is already working. This is a practical, step-by-step setup. No theory. No fluff. What you’ll learn: How LLM traffic appears in GA4 Which dimensions and filters actually work How to separate AI traffic from traditional search and referral traffic How to validate that the data is accurate Steps covered in the video: 1. Open GA4 and navigate to Explorations 2. Create a new free-form report 3. Add Session Source / Medium under Dimensions 4. Add Sessions, Key Events, and/or Purchase Revenue in Metrics 5. Drop Session Source / Medium under Rows 6. Drop all the metrics into Values 7. Filter by known LLM referrers and user agents 8. Give the report a name (top right) such as LLM Traffic 9. Save and reuse the report for ongoing tracking This report is useful for SEOs, marketers, content teams, and anyone trying to measure AI search visibility beyond Google rankings. If you care about AI search, LLM visibility, and modern SEO measurement, this setup is no longer optional. Subscribe for more videos on: GA4 reporting for SEO AI search and LLM visibility tracking Multi-location and enterprise SEO What is actually working in search right now Subscribe to stay ahead as search continues to change. #llm #seo #ga4