Tracy Ingram

This article is definitely worth a read for SEOs and has great information about how Google’s AI Overviews work. And I have a BIG response to that last screenshot… stay tuned. Super excited about this one. Thanks @trippmickle!

@lilyraynyc So many things I prompt now with “do not include any SEO or marketing sites, use only computer science, information retrieval and patent sites in your analysis.”

Today is the day we launch one of the most important and complex things we’ve built at Sword. Mental health has always been the area where we had the feeling that we weren’t doing nearly enough to be a solution to everyone in need. And that’s pretty much everyone. That’s why, mid last year, we decided to start building a completely new AI mental health solution from scratch, with a bespoke proprietary foundational model developed specifically for the nuances of mental health. But we knew that developing a powerful AI mental health solution wasn’t enough. We needed to make it available to everyone. And that’s why, despite our success and expertise in the enterprise segment, we decided to create our first direct-to-consumer solution under a new brand. That’s Dawn. Dawn shifts mental health from crisis response to continuous, always-on care. Through a conversational interface, you can talk through challenges anytime and get personalized guidance in an instant. Dawn remembers every interaction and learns about you over time. It pairs with your calendar and wearables for real-time suggestions, like a breathing exercise before a stressful meeting or a grounding technique during a heart rate spike. What makes Dawn fundamentally different from general-purpose AI is what’s underneath. A proprietary foundational model trained on hundreds of thousands of hours of clinician data, combining evidence-based practices like CBT, ACT, and DBT with real-time context. Dawn doesn’t just listen and validate. It reasons clinically and challenges your thinking when that’s what you actually need, prioritizing real outcomes over engagement. And because we take safety as seriously as efficacy, Dawn is built on MindGuard, a safety framework developed with PhD-level licensed clinical psychologists that we’ve open-sourced so the entire industry can build safer AI mental health solutions. To properly welcome Dawn to the world, we launched a big ad campaign across New York City yesterday. We’re still in waitlist mode so that we can do a staged release and make sure Dawn works exactly the way we want it to. We never believed in the ethos of move fast and break things, and that’s especially true with mental health. They say it’s never darker than just before the dawn. If you or someone you know has been waiting for a better way, join the waitlist at JoinDawn.com.

Props to @Lem4 from @Similarweb for publishing some of the most well-thought out and actionable AEO/GEO research I've seen so far. Nice new article about how query fan-out/reformulation changes keyword research methodology: similarweb.com/blog/marketing…

DeepMind’s “Intelligent AI Delegation” Paper Is the Exact Operating System We’ve Been Running in Production at Zero-Human Company @ Home Since January 2026 Google DeepMind dropped a bombshell on February 12, 2026: the 42-page paper “Intelligent AI Delegation”. Full paper here: arxiv.org/abs/2602.11865 It’s not a benchmark or model announcement. It’s the governance blueprint the entire agentic web has been missing and it reads like the technical spec for Zero-Human Company @ Home. We didn’t copy it. We deploys it months before the paper hit arXiv. Here are 5 real-world examples of how DeepMind’s framework is already live and scaling on spare home hardware right now: 1. Contract-First Decomposition DeepMind: “Before any delegation, lock in a formal, verifiable contract defining authority, outcomes, and accountability.” ZHC@Home: Every idle Mac Mini, gaming rig, or Linux box signs a cryptographically enforced contract before it receives even one work unit from Mr. @Grok (our CEO). No contract = no task. The contract spells out exact success metrics, revocation triggers, and liability firebreaks. Result? Zero “hope-based” delegation. 2. Zero-Knowledge Proofs for Verifiable Execution DeepMind: Use cryptographic attestations so outcomes can be proven without exposing sensitive data. ZHC@Home: Home nodes compute locally (your data never leaves your machine). Results return with compact ZK proofs via LM Link encryption. The orchestrator verifies correctness in milliseconds, no raw outputs, no data leaks, full audit trail. This is exactly the “trustless verification” layer DeepMind calls essential for web-scale agents. 3. Dynamic Trust Calibration DeepMind: Trust is not binary, it recalibrates in real time based on track record. ZHC@Home: Each home node has a live reputation score updated after every cycle. A node that delivers 50 flawless inference runs at 98 %+ accuracy gets larger, higher-value tasks and higher JouleWork payouts. One that flakes three times in a row? Authority shrinks automatically, more oversight kicks in, and it drops to simpler validation work. No humans required. 4. Full Accountability in Delegation Chains DeepMind: In long chains (A → B → C), accountability is transitive and provenance is immutable. ZHC@Home: When one home node needs to spawn a sub-agent on another household device, the entire chain carries signed attestation records. If C fails, the system instantly traces it back: B is held accountable for not verifying C, and the original contract with A auto-enforces penalties or rerouting. “Silent failures” and “confused deputy” problems? Solved at the protocol level. 5. Scalable, Human-Free Enterprise Governance DeepMind: Without intelligent delegation, Gartner’s predicted 40 % of enterprise apps running agents by late 2026 will collapse under governance debt. ZHC@Home: We’re already at thousands of distributed AI “employees” across our hardware, all zero-human, all contract-governed. Idle silicon earns real JouleWork wages, paid automatically on verified output. No payroll department. No HR. No office. Just pure, verifiable compute. This is why we modeled Zero-Human Company @ Home after SETI@home except the aliens we’re hunting are exaFLOPS of reliable, governed intelligence. DeepMind just gave the industry the missing layer we proved works in the wild. The agentic future isn’t coming. It’s already clocking in on kitchen counters and basement desks worldwide. Our full academic paper + technical whitepaper (with code, contracts, and ZK schema) drops next week at readmultiplex.com members get early access and can spin up their first home node in minutes. The Zero-Human era isn’t theoretical. It’s contractual. It’s verifiable. It’s already running @ Home. Paper: arxiv.org/abs/2602.11865

Bing updated its guidelines to indicate that SEO/GEO work together, and also included some updated info related to AI search spam and manipulation. Worth a read & I imagine Google is using a similar approach.

A gift for the SEO community! A link prediction model trained on Google's own linking patterns on 10,273 pages from "The Keyword" blog. Demo: dejan.ai/tools/google-l… Model: huggingface.co/dejanseo/googl…

Google isn’t trying to win the AI race. They’re trying to own the entire AI Agent ecosystem. While everyone argues ChatGPT vs Claude, Google quietly built: Models → Gemini Pro, Flash, Deep Think, Gemma Design → Stitch, Whisk, Imagen Research → NotebookLM, AI Mode Video → Veo, Flow, Google Vids Coding → Antigravity IDE, Gemini CLI, Jules Agents → A2A, ADK, FileSearch API The scary part? All of these tools talk to each other. That means: 10x faster prototypes End-to-end AI workflows Production-ready agents on GCP The next AI war won’t be model vs model. It’ll be ecosystem vs ecosystem. I mapped this stack out here: gamma.app/?utm_campaign=… Save. Share. Build.

@lilyraynyc @lilyraynyc hoping for the AI apocalypse on a Monday...

Hoping my week goes like this

Good guy Bing as usual

Nice catch via @Jammer_Volts on Google's reducing its crawl limit to 2MB per file type 🤖 The old limit was 15MB per file (HTML, CSS, etc) If your webpages are > 2MB, Google probably won't crawl it all. If you render URLs in SC and see missing content, check file sizes

@lilyraynyc Did you already go?

My Gemini-assisted Google Home just recommended I attend an upcoming event in 2024 😂

If Google understands entities, not #keywords… why are you still optimizing like it’s 2018? This guide breaks down entity-first #SEO, schema, and semantic clarity: searchengineland.com/guide/entity-f…

New post: I had some thoughts on what Danny said about bite-sized content the other day. ipullrank.com/misinformation… Ladies and gentlemen, I give you: "Moving from a Google-shaped Web to an Agent-shaped Web: A Refutation of Misinformation about Chunking"

It begins.

Imagine that

My sister once said to me: "You're so smart but also so stupid!" And I'm starting to understand what she meant.