Wissenswertes

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...

Key Takeaways: ChatGPT 5 also uses query fan-out and outlines it in the conversation response There are bookmarks to retrieve the initiated searches triggered for a certain prompt Kronenberg: ChatGPT might use a so called meta search that provides search grounding from different sources such as Bing or Google or other features: "OpenAI-Caches: eigene Zwischenspeicher und Crawling-Daten Filter & Re-Ranking: bevorzugt werden vertrauenswürdige Institutionen wie BBC, Reuters,

Key Takeaways: OpenAI conducted a study with the National Bureau of Economic Research of 1.5 million conversations, classified them and...

Key Takeaways: Google dropped the ?num Parameter from search that enabled to view 100 results for a query at one glance: https://www.google.com/search?q=paintball&num=100 Tracking tools like DataForSEO, SISTRIX & SEMrush as well as scrapers such as from ChatGPT, Perplexity etc. relied on that parameter to initially get more than 10 results This results in increasing costs for both trackers and LLM chat bots to provide Google search based data / grounding Plus: Google Search

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

Key Takeaways : Dan Petrovic tested the use of Schema Structured Data mark-up on a webpage of his asking ChatGPT 5 to summarize it There was no evidence of Schema even reaching the model The answers with and without Schema were quite similar ChatGPT itself replied multiple times that the browsing tool does not provide any Schema structured data just plain text from the raw HTML Inspired by a previous experiment that found impact of Schema on former ChatGPT models -...

Key Takeaways: Metahan analyzed ChatGPT chats and found the core features and configurations of it The Reranking Model =...

Key Takeaways : Adobe conducted a survey of 1.000 people in the US, 800 consumers and 200 marketers regarding their usage of ChatGPT...