Wissenswertes

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: 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: Tran ran a nice experiment on PDF extraction, especially for tables, using different models/libraries In short: LlamaParse wins on speed and accuracy. It’s the fastest overall and produces the cleanest output, but it requires sending PDFs to LlamaCloud. Marker is the best local option. It’s faster than Docling and handles simple tables well, but it merges columns on dense layouts. Docling is the slowest of the three and prone to hallucinating values on dense ta

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

Key Takeaways: Google published a report regarding AI Mode usage based on Google Trends keyword data The average AI Mode query is 3x the length of a traditional Search query. Keyword research now needs to be complemented with prompt, task, constraint and scenario research. Follow-up queries in AI Mode have increased by more than 40% on average per month in the U.S. Aleyda states: Brand visibility can't be analyzed only at the first prompt anymore: a brand might be mentioned,

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: At Google I/O Google announced lots of new features and a vision for the Agentic Web and stating "Google Search is AI Search": Gemini 3.5 flash: fast, but relatively expensive Gemini Spark: 24/7 personal agent running in the cloud - Give it a task and it works autonomously in the background, even if your phone and laptop are turned off. You choose to turn it on and it's designed to check with you before taking major actions (first only US and Google AI Ultra Us

Key Takeaways: Screaming Frog released version 24.0 of their crawler tool and they dropped a bomb with lots of incredible features: Local MCP: integrate Screaming Frog crawls into your agentic workflows. Of course there need to be some improvements as you currently cannot control lots of important crawl settings AND cannot create crawl configs using the MCP - still, lots of opportunities analyzing crawl data with Claude Auto-compare + Email notifications: You can now setup ma

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: Google introduces new AI Mode features in Chrome (first for desktop devices in Chrome): Opens links within AI Mode directly side by side (left AI Mode, right Website / TikTok / YouTube) Select recent tabs and add them to your search (e.g. hotels oder destinations you like or personal notes from Drive or JIRA or even ChatGPT) Shepard expects disadvantages for publishers and site owners "The user may see your site, but they never leaves Google. Another brick in t

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: Google introduced Gemma 4 , a state-of-the-art model with 256K context, Open-Source on Apache 2.0 license , that can be run locally as it only needs less space: 31B - full reasoning, runs on a workstation 26B MoE - fast, activates only 3.8B params per inference E4B / E2B - runs on a phone, offline, real-time audio + visio Google published their new compression algorithm TurboQuant that opens the door to new local developments and use cases: TurboQuant: Our