Wissenswertes

Key Takeaways: Landwehr and Wells analyzed PeecAI data on 20M+ Query Fanouts (QFOs): Fanout queries used to have an average length of 6 words . Mid November they started to become longer. They peaked at 16 words in early December. Since Christmas, they are stable at 12 . Global change : observed across multiple languages and countries 10+ countries in North America, Europe, and Asia The structure of these new fanout queries suggests they are optimized for vector search - not

In this post I collect interesting mini-tools for SEO/GEO: Last updated: 27.02.2026 Category Tool Description Tech Stack Creator Internal linking ONE Link Intelligence https://one-link-intelligence.streamlit.app/ Calculates scores based on Screaming Frog + Embeddings Crawl Streamlit App numpy/FAISS Kremer (ONE) Content Analyzer ONE Semantic Content Map https://onebeyondsearch-content-cluster-visualizer.streamlit.app/ Identify Content Cluster and Outlier based on Screaming Fro

Key Takeaways: Metehan analyzed Common Crawl (CC) data and found a correlation to citation frequency in LLM Chats such as ChatGPT, Perplexity and others: Most major LLMs were trained on CC data (64% of models studied, 80%+ of GPT-3 tokens) CC prioritizes high-authority domains in its crawling via Harmonic Centrality These same domains tend to be cited most frequently by LLMs Feel free to use his tool to analyze Common Crawl authority scores for your domain or industry:...

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 OpenAI to reportedly charge on an impression (pay per view, CPM) basis not CPCs for ChatGPT ads, require $1M spend for each advertiser and it will be done manually on some level Our ads principles from OpenAI's statements Mission alignment : Our mission is to ensure AGI benefits all of humanit

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: Google officially carried out the December 2025 Core Update from 11th to 29th of December - while especially one week later volatility spiked Solis found movements across multiple verticals such as Publications, eCommerce, SaaS : This is yet another iteration to reward specialization, expertise and showcase more commercially oriented content from brands or specialized retailers , rather than generic ecommerce platforms or publications. Gabe: The December 20

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: Anderson analyzed the Google Leak & DOJ testimony: A deep dive mapping Google's Search Essentials and Helpful Content questions to leaked Content Warehouse attributes like Q*, siteAuthority, contentEffort, and predictedDefaultNsr. From Navboost to contentEffort he provides a clear understanding of how Google is or likely is working ICYMI: Back in 2024 the Website Boosting article from Mario Fischer visually outlined it pretty well Example I: EEAT decoded E-E-A-

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: 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: Mantica shows data from running Google Ads AI Max for 4 month: AI Max lost against all match types , doubled costs for conversions Google responds to criticism on X (AdsLiaison): [AI Max is] designed to help you capture incremental conversions or conversion value , depending on your objective. It does this by expanding your reach to additional relevant traffic using broad match and keywordless matching in the backend. It pairs this reach with optimizing your a

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