Wissenswertes

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: Kopp analyzed search patents related to search and AI search, adding a new patent on Search System Having Task-Based Machine-Learned Models The patent is a about a search system that breaks broad user queries into ranked subtasks using LLMs + specialized multi-task ML models — then surfaces, ranks and dynamically re-ranks content based on aggregated user interaction scores across the full task session. He outlined the process: Query Classification — is this a g

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: Harpreet shows Ahrefs data on AI Overview citations of X.com that are increasing since March 2026 to July 2026 from approx. 250.000 to 900.000 citations As Ray raises concerns about how trustful and truthful X Posts are (and other social media platforms) Andell shows that the same is happening in Google Discover: Acceleration from the beginning of May (~38k), then a climb to ~65k by the end of the month, with the percentage visibility also doubling. After intro

Key Takeaways: Google introduced the first update to the recently introduced Open Knowledge Format (OKF) that adds a Trust Layer called OKF v0.2: new sources field: author, usage_count, last_modified generated: { by, at }: how the current content was produced, and when it last meaningfully changed. verified: [ { by, at } ]: a list of independent confirmations against the sources or the underlying resource; a human sign-off, a nightly finance process, or both. status moves a c

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: Google introduced new standards named "Open Knowledge Format" and "Agent Resource Discovery" OKF for Google should work as: a vendor-neutral, agent- and human-friendly standard for representing the metadata, context, and curated knowledge that modern AI systems need. Just markdown — readable in any editor, renderable on GitHub, indexable by any search tool Just files — shippable as a tarball, hostable in any git repo, mountable on any filesystem Just YAML front

Key Takeaways: Elvis emphasizes the importance of owning the orchestrator and the harness for complex AI workflows the orchestration, the harness, routing capabilities, dynamic artifacts/workflows, verifiers, ability to switch/route between agent backends, automations, the skills, and the MCP tools would be the absolute best defense for what happened with Fable this week. The potential downside: high maintenance, might be too costly, and migth be unsustainable The bigger you

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: Google introduces Search Profiles: We're launching Search profiles, a new way for publishers and creators to shape their presence on Search. Search profiles are a dedicated, shareable space to highlight content across social media, video and news platforms, and help audiences find accurate and up-to-date information about sources on Search. People can easily follow a source from their new Search profile, so they’re more likely to see content from that source on

Key Takeaways: Perplexity announced some great updates such as introducing Hybrid Agentic Inference and Search as Code Hybrid Agentic Inference enables you to split tasks between a local model running on your machine and frontier models in the cloud. This keeps private data on your device and maximizes token efficiency Only let Perplexity access a local folder and run a local model via a subagent, then switching to more powerful, expensive models in the cloud Search as Code c

Key Takeaways: AI Mode introduced Ads and users can now also set preferred sources Schwartz: Google AI Overviews & AI Mode gain preferred sources, plus new perspectives carousel and highly cited labels Sources: https://x.com/brodieseo/status/2058799216500289982 https://brodieclark.com/notes/#may-2026 https://x.com/glenngabe/status/2059682951684567066 https://x.com/glenngabe/status/2059604843879133333 https://searchengineland.com/google-ai-overviews-ai-mode-gain-preferred-sour

Key Takeaways: Rudzki (Peec AI) analyzed their data of Google AI Overviews and found that the appearance of AIOs is increasing (n=500k) Google AI Overview appearance differs across markets: US: 91.4% UK: 91.7% Australia: 86.5% Poland: 82.9% Germany: 75.6% France: 0% (not served by AI Overviews or AI mode) across funnel-stage: For decision-stage (bottom-of-funnel) prompts, AI Overviews appeared 88.5% of the time - higher than the 87% average. Google classifies queries into eig

Key Takeaways: Google Chrome introduced its MCP and Google Chrome Canary 150.x now supports WebMCP while adding a "agentic-browsing" category to Lighthouse 13.3.0 audits WebMCP + Lighthouse: whether the page exposes a clean accessibility tree which WebMCP tools are registered (imperative + declarative form tools) whether their input schemas validate form coverage - which <𝚏𝚘𝚛𝚖> elements are annotated for agents and which are invisible to them whether your llms.txt follows

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