Wissenswertes

Key Takeaways: writesonic analyzed 50 prompts (re: SaaS) in ChatGPT comparing GPT-5.3 Instant (new default) and GPT-5.4-Thinking (new premium) vs. GPT-5.2 Instant and GPT-5.2 Thinking and found: in GPT-5.4 Thinking a total of 53% of citations were from brand websites , compared to GPT-5.3 Instant's 8% a major shift (it cited reddit.com , techradar.com , forbes.com and others instead ) GPT-5.4 Thinking cites totally different sources as GPT-5.3, most of them not from Googl

Key Takeaways: Landwehr analyzed Query Fanouts from ChatGPT when running Prompts in German, French, Portuguese, Italian, Spanish, Dutch, Polish and Turkish using local IPs and found that very often English Fanout Queries are triggered In 60%+ of cases, at least one of fanout query is in English. No matter the user’s language and location! Pure local brands in non-English markets are structurally disadvantaged . Brands from English-speaking countries start with a global edg

Key Takeaways: Segoznac analyzed the Bing AI Report Code and found an Intent Classification, a Cited By Dimension as well as a Compare Mode Intent Classification shows 13 intents : Alongside "Navigational" and "Informational Search", you'll find "Learning and Problem Solving", "Creation", "Planning", "Comparison", "Entertainment", "Small Talk." CitedBy Dimension could either be a breakdown into the different data sources or rather AI features such as Bing Search, Bing Chat,

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

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: 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: 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: According to AlsoAsked Data on English queries the share of AI generated People Also Ask in Google SERPs increased from 17,8% to 37,8% . According to my observations this is likely similar in German/Germany Thus, data points in Google Search Console and tracking tools likely affected as spots for direct mentions and links are taken over bei AI Overviews-like answers Update 12/25 : while the maximum was hit in October (41.4%) Google seemed to have doubled down

Key Takeaways: Nach der Ankündigung am 07.10. ist nun auch seit dem 13.10. der AI Mode bzw. KI Modus in Deutschland ausgerollt Mit der Integration in der Suchleiste wird der AI Mode prominent angeteasert Christian Kunz fasst es gut zusammen: " Das Ergebnis dürften deutlich weniger Klicks sein. Das zeigen aktuelle Studien. Dabei dürfte klar sein: Der KI-Modus wird bleiben, und Websitebetreiber und SEOs müssen damit zurechtkommen . Dafür gibt es verschiedene strategische Ansät

Key Takeaways : Grok also does a Query Fan-Out - rewriting a prompt into searches Grok uses Brave Search instead of Google or Bing Source...

Key Takeaways: Sehr guter, einfacher Guide zu GEO (Generative Engine Optimization) / LLMO, der sich mit meinen eigenen Erfahrungen und Analyse-Ergebnissen deckt " LLMs cannot have first-hand experience . But users want it. LLMs are incentivized to reference sources that provide first-hand experience." "Actually, plenty of traditional SEO methods still apply , with a few new SEO tactics you can incorporate into your workflow." GEO Tactics Step 1: Be Crawlable Step 2: Continu

Key Takeaways: Query Fan-Out auf Basis von Such-Ergebnissen ist sequentieller, sich wiederholender Prozess Es ist möglich diesen Prozess...