Wissenswertes

Key Takeaways: Indig analyzed over 21.000 ChatGPT citations from different industries in depth to cover how AI cites sources based on content length and which pages/domains are picked etc. His findings / statements: Text with a question mark is 2x more likely to be cited (18.9% vs. 9.4%) 43.2% of sources cited by ChatGPT rank in Google position #1 ChatGPT retrieves about 6x more pages than it cites Top 10 domains take 46% of all citations in a topic, Top 30 at 67% While pages

Key Takeaways: Gabe spotted more and more Google AIO on Breaking News such as: "uber rivian" "gerrit cole returns" Google has lots of News data that could be summrized via AIO - news publisher would have to expect click drops Happens after a post quoting: "Google's Jaffer Zaidi said AI Overviews are purposefully not triggered for hard news queries. SEO consultant Barry Adams of Polemic Digital told the conference that publishers whose search traffic is primarily generated by

Key Takeaways: Grimm on next level crawling possibilities for Agents: Cloudflare /crawl REST API offers crawling based on Cloudflare infrastructure: "𝗖𝗹𝗼𝘂𝗱𝗳𝗹𝗮𝗿𝗲 𝗷𝘂𝘀𝘁 𝗰𝗼𝗺𝗺𝗼𝗱𝗶𝘁𝗶𝘇𝗲𝗱 𝘄𝗲𝗯 𝗰𝗿𝗮𝘄𝗹𝗶𝗻𝗴" REST API with POST request to initiate crawl and GET to retrieve results Sitemap or Spider crawl mode Javascript rendering in headless browser Result as HTML, markdown or JSON with using a prompt against the crawled pages incremental crawling (only

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: SERanking analyzed Google AI Overviews for 100.000 keywords in the US and found that with Gemini 3 more sources get cited: Average number of sources increased by +31,8% from 11,55 to 15,22 sources, smallest increase in the Insurance sector with +6,1% N umber of unique domains cited increased by + 9.3% from 89.262 to 97.574 However, lots of movements for cited domains: 37.870 domains that were previously cited are no longer cited at all while 46.182 entirely

Key Takeaways: Konitzny analyzed ChatGPT code and found traces of ChatGPT's Ad System called 'Bazaar' Ad Types: single vs. multi advertiser ads single_advertiser _ad_unit multi_advertiser _ad_unit Ad design: will contain Brand name and Image Brand name Website Title Description text Link Image Actions/Interactivity with Ads: users can hide/block advertisers and ask ChatGPT about the ad CHATGPT_BAZAAR_PLACEMENT_ACTION_TYPE_ HIDE_ADS_PLACEMENT CHATGPT_BAZAAR_PLACEMENT_ACTION_TY

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 : Ray & Rudzki stress the risk of heavy AI usage in SEO & content creation as they point out examples of failure: "Mount AI" is the rapid increase of visibility that is followed by a rapid decline as Search algorithms catch up An analysis of success stories of AI content tool from Landwehr revealed that 57% of websites saw their visibility tank , 22% that successfully gained rapid growth in the short term but tanked after Ray highlights: These drops can be rea

Key Takeaways: Ray analyzed websites (US) that were hit by an unconfirmed Google Update in January and found: Dropping in Google SEO also negatively impacted their LLM Visibility The data shows a broad decline in both SEO traffic & AI search citations: every subfolder in the study (11 of 11) experienced a drop in both Google organic traffic and total AI search citations , with a significant average citation decline of -22.5% . Google’s AI Mode (-23.8%) and ChatGPT (-27.8%)

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: Michalik created 3 listicles for a made up matcha tea that got listed in most major AI chats Claude and AIO cited the fake Matcha quite frequently ChatGPT and AI Mode also cited the fake product from time to time Gemini did the best job in not mentioning the fake product Now all chats caught up, still, way to easy to game in the short run A while ago Fishkin reported that only in <1% of the runs of the same prompt the KI chat returns the same list of recommen

Key Takeaways: Google and Microsoft promote WebMCP as a new W3C standard for browsers and agents to interact with websites easily and reliably Volpini: Schema.org gave us the nouns, WebMCP will give us the verbs While WebMCP is the frontend technology to describe options of interactivity, ACP and UCP enable agentic features on the server-side Google explains: WebMCP proposes two new APIs that allow browser agents to take action on behalf of the user: Declarative API : Perfo

Key Takeaways: Landwehr analyzed AI Search responses for pnewind(.)com - a former wind energy company website that has been misused by Casino Affiliates using Google cloaking and access blocking His findings suggest: OpenAI is scraping Google Grok is somehow using Google Claude is using Brave Search Perplexity might use Brave Search (but states that it uses its own index) Konitzny points out that Grok is using Brave for image search - based on the code run in Chrome. Ray con

Key Takeaways: Segonzac analyzed the behavior of AI Search Agents on how they view websites The Good  - Static HTML is visible to everyone (your safest bet)  - <noscript> fallbacks work for ChatGPT, Claude & Gemini The Surprising  - Only 3 crawlers execute JavaScript​ : Bing Copilot, Grok & DeepSeek  - Bing Copilot is the ONLY one that can read iframes and Shadow DOM  - Some crawlers identify themselves honestly (ChatGPT, Claude, Gemini), others operate in full stealth mode (

Key Takeaways: ChatGPT is trying to build their own Knowledge Graph , Shopping Graph, Local Data, and more From the release notes: "Answers now also highlight important people , places , products , and ideas . You can tap any highlight to open a side panel with key facts and trusted sources, making it easy to understand the context without asking follow-up questions." Seems like ChatGPT realized that it has to become more like Google Inlcuded image contains "sample photo" wa

Key Takeaways: SEMrush analyzed 217,000 prompts across Google AI Mode, Perplexity, and ChatGPT Search: SearchGPT references Reddit most often . 12.6% of its answers contain Reddit links, though these links appear later in responses (avg. position 7). Perplexity gives Reddit higher prominence. Only 3.5% of Perplexity answers include Reddit, but those links appear much earlier (avg. position 3). Google AI Mode uses Reddit moderately. Reddit appears in 9% of responses, usua

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