Wissenswertes

Key Takeaways: OpenAI officially introduces Ads to monetize ChatGPT- first to ChatGPT logged out and Go users in the US - ChatGPT Pro, Business and Enterprise remain ad-free for now Our ads principles from OpenAI's statements Mission alignment : Our mission is to ensure AGI benefits all of humanity; our pursuit of advertising is always in support of that mission and making AI more accessible. Answer independence : Ads do not influ ence the answers ChatGPT gives you. Answers

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: Long (Nectiv) analyzed ChatGPT Query Fan-Out via 8.500+ prompts across different industries in October : Total Number Of Searches: 2,648 Percentage Of Search Instances: 31% Average Number Of Searches: 2.17 Average Words Per Query: 5.48 A search triggers 1 to 4 fan out queries that are mostly 3+ words long with an average of 5,84 words Compared to Google (3,4 words per query) the ChatGPT fan-out queries are significantly longer and more long-tail The main n-gram

Key Takeaways: Google sued SerpApi for scraping search results and selling the data over copyright and the fact SerpApi’s answer to SearchGuard is to mask the hundreds of millions of automated queries it is sending to Google each day to make them appear as if they are coming from human users SerpApi is used by ChatGPT, Perplexity and other LLM chats for grounding there results as well as by Search Analytics Tools, Apple, Meta aso, After removing the num=100 parameter in Se

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: Based on SEMrush data Long found that major social media channels like X, linkedIn, Threads gained visibility in Google Search since mid of October Inline with this development, Google added a new social feature in the Google Search Console that is controversely discussed - as the data it provides is of low quality and full of anomalies especially with the introduction of AI Overviews and the push of AI Mode Clark shared first insights that he was surprised a

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

Key Takeaways: DEJAN/Dan Petrovic analyzed how ChatGPT retrieves websites for grounding and outlined it on an example of his page using the Web Search tool in the Asisstants API. How it works in a nutshell: Initially retrieves small data object from web search results (title, description, 1-3 sentences, retrieval ID) Then, it can look at certain windows/passages and even follow links It uses an open() call to access the page at a certain row and click() to initiate the same

Key Takeaways: A study by Seer Interactive found massive CTR drops from Google comparing September 2025 vs. June 2024 Paid CTR without AIO dropped by -32% Paid CTR with AIO dropped by -68% Organic/SEO CTR without AIO dropped by -41% Organic/SEO CTR with AIO dropped by -61% Google proclaims that AIO is a successful feature for users and Google is sending more traffic to the web - data throughout different industries cannot support those claims Green raises important points:

Key Takeaways: Terrasi shared data from a document from OpenAI that showed very low CTR in ChatGPT of <1% for a website with over 500.000 impressions and an average of 1.68% Salomon: " It's a monthly report for each Publishers for the TOP 1000 urls" "What is obvious is that the data model is not prompt/query oriented but based on the URL ." Critical review: Industry is quite important - for publishers there are likely multiple sources for the same information and the inform

Key Takeaways: Metehan identified traces of ChatGPT using PSL to differentiate domains and subdomains The Public Suffix List (PSL) is a Mozilla-maintained, open catalog of domain suffixes that defines ownership boundaries on the web Why it is useful: Attribute authority at the ownership level rather than the subdomain level Therefore, differentiate domains owned from content of multi tenant sites such as *.github.io, *.notion.site, *.vercel.app, medium.com etc. Parasite SEO

Key Takeaways: Profound analyzed ChatGPT citations for the used queries (Query Fanout) for 420 prompts (97 single-query, 323 multi-query) to compare how they were influenced by Google's Top 10 for the queries Findings: First Queries significantly rely more heavily on Google's Top 10 while further queries source citations from beyond (e.g. other sources such as Reddit, Wikipedia aso. or Google's Top 30, Top 100 or even Bing, Brave and others) In middle and last queries ranki

Key Takeaways: By recording, parsing, and analyzing these real-time data flows [from ChatGP T ( Server-Sent-Events) ], [ Volpini ] uncovered a hidden layer of entity infrastructure that extends far beyond language understanding, now encompassing products, organizations, people, and even moderation logic. [ Therefore, he built] a custom Playwright-based recorder in Python to intercept and log ChatGPT’s internal /backend-api/conversation SSE stream. LLM Chats / ChatGPT evolve

Key Takeaways: xAI launched Grokipedia that promotes to be a Wikipedia that is fact checked and rewritten by Grok: " ... it rewrites those pages, removing falsehoods, correcting half-truths, and adding crucial & missing context" Grokipedia currently has almost 1m articles and is indexable on Google As Brick and Jeffrey point out already over 900.000 pages are indexed on Google - some ranking already and are cited in LLM chats It will be interesting to see how Google approac

Key Takeaways: Metehan developed a script to run via Screaming Frog that analysis meaningful images of websites automatically Google’s investing heavily in visual understanding. Their visual search fan-out technique runs multiple queries in the background based on comprehensive image analysis . With this tool you can check whether your images provide meaning to search engines and LLMs to add value to your content OR rather whether your visuals meet your product or brand iden

Key Takeaways: OpenAI launched an LLM-powered, Agentic Browser in competition to Google Chrome + Gemini as well as Perplexitys Comet Browser Enables users to directly access website context and perform actions on websites using the browsers history (Memory + Personalization) Chouinard/Gargula point out: ChatGPT Atlas appears to access websites with multiple different User Agents including Googlebot - Hypothesis 1: Could be that being built on Chromium, it would trigger Google

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