Wissenswertes

Key Takeaways: SERanking analyzed Google AI Overviews for 100.000 keywords in the US and found that with Gemini 3 more sources get cited: Average number of sources increased by +31,8% from 11,55 to 15,22 sources, smallest increase in the Insurance sector with +6,1% N umber of unique domains cited increased by + 9.3% from 89.262 to 97.574 However, lots of movements for cited domains: 37.870 domains that were previously cited are no longer cited at all while 46.182 entirely

Key Takeaways: Ray analyzed websites (US) that were hit by an unconfirmed Google Update in January and found: Dropping in Google SEO also negatively impacted their LLM Visibility The data shows a broad decline in both SEO traffic & AI search citations: every subfolder in the study (11 of 11) experienced a drop in both Google organic traffic and total AI search citations , with a significant average citation decline of -22.5% . Google’s AI Mode (-23.8%) and ChatGPT (-27.8%)

Key Takeaways: Michalik created 3 listicles for a made up matcha tea that got listed in most major AI chats Claude and AIO cited the fake Matcha quite frequently ChatGPT and AI Mode also cited the fake product from time to time Gemini did the best job in not mentioning the fake product Now all chats caught up, still, way to easy to game in the short run A while ago Fishkin reported that only in <1% of the runs of the same prompt the KI chat returns the same list of recommen

Key Takeaways: Google and Microsoft promote WebMCP as a new W3C standard for browsers and agents to interact with websites easily and reliably Volpini: Schema.org gave us the nouns, WebMCP will give us the verbs While WebMCP is the frontend technology to describe options of interactivity, ACP and UCP enable agentic features on the server-side Google explains: WebMCP proposes two new APIs that allow browser agents to take action on behalf of the user: Declarative API : Perfo

Key Takeaways: Landwehr analyzed AI Search responses for pnewind(.)com - a former wind energy company website that has been misused by Casino Affiliates using Google cloaking and access blocking His findings suggest: OpenAI is scraping Google Grok is somehow using Google Claude is using Brave Search Perplexity might use Brave Search (but states that it uses its own index) Konitzny points out that Grok is using Brave for image search - based on the code run in Chrome. Ray con

Key Takeaways: Google started testing Personal Intelligence in the US: With Personal Intelligence Google provides personalized results and responses - using personal data from various apps such as Gmail, Google Photos, YouTube and Google Search " When enabled, Gemini accesses your data to answer your specific requests and to do things for you. And because this data already lives at Google securely, you don't have to send sensitive data elsewhere to start personalizing your e

Key Takeaways: On January 11th Google launched the Universal Commerce Protocol : UCP will soon power a new checkout feature on eligible Google product listings in AI Mode in Search and the Gemini app, allowing shoppers to check out from eligible U.S. retailers right as they’re researching on Google UCP is built to work across verticals and is compatible with existing industry protocols like Agent2Agent ( A2A ), Agent Payments Protocol ( AP2 ) and Model Context Protocol ( M

Key Takeaways: Dan Petrovic analyzed 7,060 queries via Google's Vertex AI Search that likely powers Gemini Chunk size: The total words retrieved for grounding is surprisingly stable throughout queries at a median of 2.000 words (within 1.500 to 3.000 words) This budget is devided among sources based on their relevance ranking: First position with 28% to 5th position with 13% share. 77% of pages get 200-600 words selected. The typical page gets ~377 words. Longer, more exte

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: Da KI Assistenten vielerlei Quellen aggregieren, kann es zu ungenauen teils fehlerhaften Antworten bzgl. Produkten oder...

Dan Petrovic analyzed Google Chrome and found the exact chunking mechanism and embedding logic used, now being able to to browse,...

Key Takeaways: AI-Chatbots erfinden bzw. halluzinieren Quellen Mehr als 1/3 der Quellen waren 4xx Seiten: Gemini 33,4% vs. ChatGPT 36,5%...

Key Takeaways : You can implement AI Share Links to forward the user to a GenAI/LLM platform and run a prompt about your page Upside :...