Wissenswertes

Key Takeaways: Metehan analyzed SSE (server-sent events) in the ChatGPT UI and found a detailed debug view of ChatGPTs retrieval system: For a single "best AI visibility tools" prompt, ChatGPT ran 5 search rounds, wrote 18 different queries (hidden queries), made 50 engine calls, pulled 228 results, fetched 223 URLs with selected chunks, and cited 16. The page body is not HTML. It is a markdown-like text render. That render is what gets cut into blocks of roughly 170 words an

Key Takeaways: Google introduces masked links with /goto-Redirect dropping another bomb on Rank Trackers and AI Chat competition It is a trap: While tool providers celebrate easy fixes and workarounds, I believe it is a trap: Now Google can identify more easily which users misuse its search engine = those sessions call all the redirect links from a SERP - before it could only see users or IPs doing lots of searches that could still look natural, now it actually sees who revea

Key Takeaways: On August 6th OpenAI changed the default model for ChatGPT to GPT 5.6 so that free tier users per default get access to GPT 5.6 Luna - eventhough just recently in July they've already changed it from GPT 5 mini to GPT 5.5 Salomon/OnCrawl analyzed logs and found ChatGPT User Bot jumped in hits when the new default GPT 5.6 was released and concluded Live Search is triggered more often for Free tier users Live Search relies on more Query Fanouts and generates more

Key Takeaways: Gabe reported an increase of ChatGPT ads based on a SE Ranking analysis by Deda and Tomko ChatGPT ads appear on 26% of commercial prompts, 61% of prompts regarding Pets 96.37% of brands that got ChatGPT ads displayed are not cited in the answer = only 3.63% of advertisers were also cited as a source in the answer above their ad YMYL: ChatGPT showed substantially more ads for YMYL topics than Google’s AI Mode. Ads appeared on 28.69% of healthcare prompts, compar

Key Takeaways: Segonzac analyzed the retrieval system of ChatGPT and gained highly interesting insights: Bright = web search engine but likely just Google Labrador = an in-house index, topped up with press feeds, open scientific repositories and partner platforms (it is not Bing: as titles are too long) The labrador snippet: 200 characters taken from the start of your page body (straight after your H1) and the page's title What to do with this. Your grounding budget in instan

Key Takeaways: Konitzny (PeecAI) analyzed Query Fan-Outs and citation behavior of AI Search / LLM Chats and how they significantly shift over time In May Reddit citations as well as Query Fan-Outs with "reddit" increased and dropped in June again End of June Query Fan-Outs with "Official" (products / site / docs) jumped from 0.x% to 3.5% - in multiple countries --> government authorities, consumer protection sites and domains with "official" gain citation share In May the ope

Key Takeaways: Must watch: Petrovic outlined in a webinar from Edge of Search how AI Search Optimization works, what to focus on and why (AI) SEO experts have all the right tools to optimize a brands performance He compares monitoring model perceptions via prompts with human psychology and stresses how new tactics on top of traditional SEO can move the needle to incease citations, mentions and recommendations Why AI SEO? "When AI Search or Agents become personal assistants t

Key Takeaways: Segonzac clarified how websites can end up in the training data of a llm model, specifically that being crawled does not mean you are successfully finding your way into the training data. Layers of AI Chat Answers Training Data of the LLM model takes place in multiple steps: Crawling Extraction Deduplication Filtering Tokenization/Data mix/etc. Training Retrieval e.g. via Web Searches: Potential crawling hit Training Data Myths: “If an AI crawler hits my page,

Key Takeaways: SISTRIX reported changes in ChatGPT answer behavior when switching default model from ChatGPT 5 mini to ChatGPT 5.5 calling them "ChatGPT Core Update": 47% of cited domains changed within 48 hours in Germany German publishers and service brands won in visibility, while international aggregator lost Publishers Welt, FAZ, Bild, Chip, Computerbild are cited more similarly to their organic Google SEO visibility Garg reported a surge of ChatGPT Ads of +300x: see Wri

Key Takeaways: Pelham (Otterly) ran an Reddit Engagement Experiment: 9x more AI citations for the active community vs. the dormant one 6.9x more total citations than the median external subreddit 4x more Google keywords ranked 18x more monthly search volume covered Metehan (PeecAI) reported how Reddit is eating non-English AI visibility: We analyzed 64.77 million Reddit citations across 20 countries and 4 LLMs. In Sweden and Norway, over 70% of Reddit citations on Google AI O

Key Takeaways: Similarweb carried out a study on User Behavior in the US: Methodology: We tracked thousands of real user journeys across three industries: Finance, Travel, and Beauty - focusing on users who asked ChatGPT for an industry-relevant question and received a specific brand in the answer. We then followed those users for the seven days after the AI conversation, tracking whether they visited the website of the recommended brand or a direct competitor. To isolate gen

Key Takeaways: Peham/Otterly analyzed 1.3 million LinkedIn AI Chat citations from ChatGPT, Perplexity, Google AI Overviews and AI Mode: Linkedin's AI citations rose +49.9% between January to May 2026 from 7.8% to 11.7%. People's posts get 91.7% of citations, rest goes to company posts. LinkedIn Pulse articles get cited far more than posts. More engagement /adding media doesn’t increase citation BDP / measures for increasing LinkedIn AI citations: Publish pulse articles, not j

Key Takeaways: Profound introduced its new partnership with Noble to offer automated Guest Posts and Brand Mentions based on cited sources for a given prompt set in LLM chats Now, you can build an Agent that: Knows the prompts that matter most to your brand Finds the third-party sources AI platforms are citing for those prompts Filters to the citations where your brand is not mentioned And exports those citation domains directly to your Noble workspace Then, Noble reaches out

Key Takeaways: Peham reported an increase of referral traffic from ChatGPT - similar to the one I saw: Beginning of May, ChatGPT started adding hyperlinks to brand names in the ai responses [vs. before when] ChatGPT would just display your name/brand/product as a text. Blyskal pointed out: OpenAI referral traffic to monitored brand sites increased by ~1.6x overnight (and held there) Share of logged-out ChatGPT answers containing a clickable brand URL increased by 5x: ~4-5% to

Key Takeaways: Wills analyzed citations in ChatGPT of 100k+ prompts including 145 industries and 1.595 personas to draw conclusions on Citation factors: 1. SEO is the foundation. OpenAI is using search data today and building their own index. As that matures, the connection between search authority and LLM visibility deepens. Traditional SEO principles are not obsolete, they're the starting point for LLM visibility too. 2. Persona is the measurement unit. The #1 airline for a

Key Takeaways: Rudzki (Peec AI) analyzed 5 million query fanouts across ChatGPT, Perplexity, and Grok (April, 2026) and found: Perplexity commonly just simplifies your query - not much insight for optimization (1.4 fanouts per prompt) ChatGPT commonly adds brands, comparisons, and reviews - crucial for optimization for AI search (2.1 fanouts per prompt) Grok runs a full research brief with year modifiers and site: operators - the richest signal of all if you want to optimize

Key Takeaways: Konitzny analyzed one prompt in 10 different markets in ChatGPT, Perplexity and AI Mode ""I need a juicer that produces little waste and is not very loud. Price doesn't matter."" Retrieval via Peec AI 10 Markets: US, DE, FR, NL, UK, IT, DK, AUT Listicles: biggest share on average, but massive variance by market → dominate the US. In Germany and the UK, they account for roughly half that share (US: 53.9% / DE: 25.9% / UK: 25.7%) Reddit: almost entirely a US phen

Key Takeaways: On 16th of April, Claude Opus 4.7 was released Wojcik cited the AMD report about performance issues with Claude Opus 4.6 BridgeBench reported that accuracy on the hallucination benchmark of Opus 4.6 dropped to 68,3% vs. 83,3% before He outlines that it is a natural rhythm of hype cycles that push providers to allocate infrastructure to newer models taking power away from other models He proposes to adjust flexibly to the time of day: e.g. during end of business

Key Takeaways: Segonzac (RESONEO) published a full technical study on how ChatGPT works and what changed when GPT-5.4 was introduced on 04.03.2026 and GPT-5.3 became the new default: Average domains dropped by -20% - fewer domains share the visibility in ChatGPT answers - which is also supported by Crawl log data from ChatGPT User Agents Query Fan-Out changed and includes site: Parameters to filter highly relevant or authorative sites Single tool web.run evolved into 12 opera

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