Wissenswertes

Key Takeaways: Metehan discovered in Google's Discovery Engine 7 ranking signals that likely power AI Mode (Vertex AI search) Base Ranking → core algorithm output Gecko Score → embedding similarity Jetstream → cross-attention model (handles negation better than embeddings) BM25 → yes, keyword matching still matters PCTR → 3-tier engagement system Freshness → time-sensitive query adjustment Boost/Bury → manual business rules His key takeaways: Ancestor headings travel WITH

Key Takeaways: OpenAI is preparing to bring ads to the ChatGPT Android app, [Tibor Blaho found] code in the latest beta hinting at marketplace content and search-focused ad displays Kosch analyzed the leak and its components: AdsDebugInfo : indicates intend to production usage and could be used for why ad is shown, which parameters are used etc. AdTarget & AdTargetType : definition of types such as contextual targeting, user intent, query type (informational vs. transactional

Key Takeaways: Analyzing the new ChatGPT Shopping Feature Konitzny found data from his previous interactions that could be used for personalizing results: Model Usage Breakdown Message Length & Conversation Depth Topics, Language & Model Breakdown Device Settings & Time Since Load User Agent & Location Account Settings: Time zone, plan, and activities How to test yourself: Look for the ID in the URL where you used the shopping assistant. Then, go to DevTools > Network and sea