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: 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: 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: 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: 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

Key Takeaways: SE Ranking analyzed over 50.000 keywords in the US, mostly focussed on eCommerce / electronics Most impactful factors: Total number of referring domains Total domain traffic Page trust ... Their concluded recommendations: "1️⃣ + 2️⃣ Grow 𝐃𝐨𝐦𝐚𝐢𝐧 𝐏𝐨𝐰𝐞𝐫 & 𝐀𝐮𝐭𝐡𝐨𝐫𝐢𝐭𝐲 + 𝐁𝐫𝐚𝐧𝐝 𝐏𝐨𝐰𝐞𝐫: Make your brand visible across a variety of channels — media, social, review platforms, and traditional SEO backlinks. 3️⃣ Invest in 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐄

Key Takeaways: After n8n, Zapier & others now OpenAI launched its own workflow builder to build AI workflows for OpenAI Models: OpenAI Agent Builder Agent Builder enables users to create multi-Agent environments with tools , guardrails , vector storages , IF-ELSE-flow logics and more in a no-code UI Contrary, Google offers a Python library to create multi-Agent environments: Google SDK LangChain comments: "Not another workflow builder" Visual workflow builders are not “low”

Key Takeaways: Lohwasser's Monitoring zeigt, dass ChatGPT & Azure ihre älteren 4o-Modelle schlechter/dümmer gemacht haben (auch gepinnte...

Key Takeaways: Based on Stripe users will be able to do the checkout in ChatGPT thus being able to use it an AI Agent to buy products "This marks the next step in agentic commerce, where ChatGPT doesn’t just help you find what to buy, it also helps you buy it. For shoppers, it’s seamless: go from chat to checkout in just a few taps. For sellers, it’s a new way to reach hundreds of millions of people while keeping full control of their payments, systems, and customer relations

Key Takeaways: Peham (OtterlyAI) reports that ChatGPT cites less sources the shares of Reddit and Wikipedia decline Potential reasons: OpenAI tries to save money doing less search grounding for guests / logged-out users (tests from Claneo supporting it) A potential clean-up as both Reddit and Wikipedia were "overcited" Ray: Google dropping the num=100 parameter led to search tools getting less results for grounding (one search only gets 10 results) - consequently Reddit an

Key Takeaways: Since end of June Reddit seems to not run under referral in Analytics, but flagged as source Direct / None Savy proposes...