How can SEOs help AI understand a business more accurately? @alexmoss explains why context, structured data, and vector embeddings can help reduce ambiguity and semantic drift. As AI becomes part of discovery, data integrity could become just as important as visibility. Listen now 👇

Google’s UCP is growing fast. It started with transactions, but it’s rapidly moving up the funnel: catalogue, loyalty, discovery, payments, and more across REST, MCP, A2A and more. linkedin.com/in/amhanda/ straight from Google's Zurich HQ w3.org/2026/09/ecommerce-age…

We are live today - the world’s first jobs platform for people and for AI agent jobs. - 120,000+ digital jobs for people - Quality is everything: no jobs older than 90 days, no ‘ghost jobs’ or ‘slop jobs’ - AI CV matching (upload your CV to see how you match up) - Every job summed up in 3 lines, as well as comprehensive skills & descriptions, to save jobseekers time - And a new marketplace for AI builders to list their AI agents / bots, and for companies to hire them Please share, RT, follow along as we build to make this to the best jobs platform for engineers, digital marketers, cyber security, AI roles and more. digitaljobs.com

What happens when there’s no shared standard for agentic commerce? On The Search Session, @gfiorelli1 and @alexmoss compare ACP and UCP, and how their different approaches could shape the future of AI-driven commerce. Watch the full conversation ⬇️

Search is no longer just Google. @gfiorelli1 talks with @alexmoss about AI search, Schema, agentic commerce, WebMCP, semantic drift, and whether GEO is becoming the next evolution of SEO. Listen now 👇 buff.ly/VDPOFlZ

An "About us" H2 with a class + ID costs an AI agent 12-15 tokens. Markdown costs 3. Yoast's @alexmoss says SEO's about to repeat its mobile-first mistake, just for agents this time. Markdown-first content: yes or no?

Google Search Console now can show you your social and video content performance in Google Search for Instagram, TikTok, X and YouTube seroundtable.com/google-sear…

Screaming Frog and SISTRIX AI data: Case Study, MCP Intergration - sistrix.com/blog/sistrix-scr… (from @sistrix and @tomjeffery8 )

RT @dejanseo: Google Cloud's Open Knowledge Format is an open, vendor-neutral way to package the context AI systems need, as plain markdown…

Next up - @alexmoss - love this visualisation!

The SEO Update by @yoast with @cshel and I will be going live at 4pm CEST today. Quite a bit has happened this past month! We'll discuss topics including: - @Google & @GoogleDeepMind have been busy launching lots of new features as well as sharing what's coming up in the near future during Google I/O event - FAQ rich results are no longer being supported - Google release updated documentation on optimising for generative AI features - @CondeNast CEO @RogerLynch says "Plan As If Search Traffic Will Be Zero" during an interview on @TBPN - Google expands UCP checkout to main shopping results, then also release Unified Wallet - @WordPress 7.0 is released See you there! yoast.wistia.com/live/events…

🛒 Google keeps moving toward agentic commerce: at Google I/O 2026, they announced Universal Cart, an AI-powered shopping cart designed to work across Google surfaces including Search, Gemini, YouTube and Gmail 👇 Users will be able to add products to a cart while browsing or chatting across these experiences, and the cart will proactively help with things like finding deals and price drops, alerting when products are back in stock, suggesting alternatives, etc. Google says Universal Cart will start rolling out across Search and the Gemini app in the US this summer, with YouTube and Gmail coming later. Checkout will be supported through Google Pay for selected brands, or users can transfer items to the merchant site, with the brand remaining the merchant of record. AI search shopping will be increasingly about whether your product data, availability, prices, attributes, compatibility, offers, reviews and checkout experience are understandable, reliable and actionable enough to be used across AI-assisted shopping journeys. This also reinforces why ecommerce SEO and AI search optimization can’t be reduced to “content around products”. For ecommerce brands and retailers, this means: ✅ Keep product feeds accurate, complete and fresh ✅ Make product attributes clear and consistent across feeds, pages and structured data ✅ Ensure price, stock, shipping, returns and offers are easy to understand ✅ Strengthen comparison, compatibility and buying-guide content ✅ Avoid relying only on JS-heavy experiences that make key product information harder to extract ✅ Monitor how products and categories are represented across AI shopping surfaces, not only how much AI referral traffic they send If the shopping journey increasingly happens across Search, Gemini, YouTube, Gmail, carts, agents and checkout flows, ecommerce visibility measurement needs to evolve too: Not just rankings and clicks, but product presence, citation, representation accuracy, recommendation frequency, feed readiness, and assisted demand and conversion signals. Read announcement: blog.google/products-and-pla…

Google less than a week ago: "You don't need to create [llms.txt] to appear in generative AI search." Google yesterday during I/O (as per @Una): "...It also verifies your llms.txt file, a new standard for giving your models a clear map of your site's content." Wording is important.

@OfficialLoganK Just said "it feels like the hottest new programming language is markdown, and I'm here for it" Big facts! That's why I've been saying it's worth looking into .md for agent ready websites FOR MONTHS #googleio wix.com/studio/ai-search-lab…

Just released @screamingfrog SEO Spider v.24: screamingfrog.co.uk/blog/seo… Includes - 🤖Screaming Frog MCP 🧑‍🤝‍🧑Auto Compare Crawls 📊View Crawl Changes in Email Notifications 📧Send Crawl Export Attachments by Email 🚫Find Uncrawlable Links & lots more! Enjoy.

Claude's first day at Dunder Mifflin

Worth reading today. “Think of schema markup as business registration, not advertising.” I’d add: Bing relies heavily on schema too, and the semantic layer you build for search is the layer that aligns your AI workflows. Same schema. Three lives: indexing, training, retrieval.

Spend a day at Emirates Stadium with the people shaping search in @searchandstuff London👇 How often do you get to spend a day inside Arsenal's Emirates Stadium with 300+ SEO, PPC, and AI leaders from 20+ countries? * One stage. International speakers. One VIP networking reception. Featuring specialists like @lilyraynyc @thetafferboy @areej_abuali @chimammeje Navah Hopkins, @alexmoss , @THCapper , @lazarinastoy , @ItamarBlauer , @HelenPollitt1 , yours truly and many more! * Think honest, tactical breakdowns from people running campaigns at scale. * Then, between sessions, you’re sharing breakfast, lunch, coffee, and drinks with 300+ specialists from 20+ countries; the kind of conversations, insights, and connections that would never fit into a LinkedIn comment thread. Amazing right? See you there 😎💪 ​ 🎁 Get 35% off all ticket types with the code SEOFOMO35. Register to Search n' Stuff now: searchnstuff.co.uk/search-n-…