Serdar Ocer @serdarocerr

@azed_ai AI

OpenClaw agents are now able to make purchases on Contra. AUTONOMOUSLY. A lot of people are still confused about how to set it up. So I’m giving away my entire OpenClaw setup guide for FREE. After a few weeks of testing, I’ve dialed in the exact system to run your biz 24/7. What you’ll learn: • How to install and run the first boot. • The mandatory first boot checklist. • Workspace files so it knows how to behave. • Creating your agent’s philosophy with SOULmd. • Uploading your information with USERmd. • How to add skill stacks. • Setting up your communication channel. • Some basic automations to save you HOURS. • Multi-agent routing. • Ensuring security is set up properly. RT, comment “AI” and follow. I’ll DM it to you. You can also check out my partner Contra here: contra.com

@reachvaldo Art

You don’t have The Art of AI Funnels? like + reply “Art” and I’ll DM it to you for FREE.

Google has finally started integrating AI-powered features directly into Google Search Console, and this is more important than it looks. In one of our iGaming projects, we analyzed a website using a canonical confusion attack to rank for branded casino terms. With the new AI capabilities in GSC, you can now analyze these patterns simply by talking to Search Console. For example, prompts like: “Show me X topic queries from the last two months and compare their average positions” instantly return the exact data you need, without manually setting filters. Before applying the filter, GSC clearly explains the timeline, conditions, and data dimensions it will use. This makes analysis faster, clearer, and far more intuitive. What matters more is the signal behind this change. Google is actively moving from click-based interfaces to conversational search interactions. And by doing this inside GSC, they are showing us what kind of search and filtering experiences we should start building into our own products. If you run an e-commerce site, a travel platform, or any content-heavy website, relying only on traditional click-based filters will soon feel outdated. Chat-based filtering allows users to explore data, products, and content in a way that feels natural and efficient. Search is becoming conversational, and Google is already teaching us how the future interface looks. We are gonna create a new course or series of lectures next year for visual semantics, and algorithmic authorship rules, to know more: seonewsletter.digital/subscribe #seo via Holistic SEO & Digital

Google has finally openly acknowledged how it uses social signals and your social media accounts to understand your website borders. This topic is too deep for a short post, but one thing must be clear: Google does not rank websites. Google ranks Web Entities. Your website is only one surface of that entity. Over time, Google has started to integrate social media channels into Google Search Console. This is not accidental. It serves two major purposes from Google’s side. First: Yes, AI may reduce some organic clicks. But Google compensates by routing visibility and traffic through social platforms, especially those with strong forum and discussion contexts. Second: Google actively incentivizes content creation on platforms it owns or partners with, such as YouTube and Reddit. Back in 2022, Google introduced Perspectives. Since then, the algorithm has increasingly favored experience-focused language, first-hand narratives, and human tonality aligned with language models. Now look at the timeline. • December 8, 2025: Google announced social channel integration in Search Console • December 12, 2025: Google released the December BCAU • Social platforms continued expanding their presence in rankings, AI Overviews, and AI Mode This is not coincidence. Since 2019, we have been measuring and processing the impact of social media signals in our case studies. One conclusion has remained consistent. If you have traffic diversification combined with strong brand attribution, you are far more resilient against BCAUs. This leads to the core concept. Your site does not end where your .com ends. These are cross-domain Web Entities. Your Facebook profile is part of your Web Source. Your YouTube channel is part of your Web Source. Their performance directly influences how Google understands, trusts, and ranks the whole entity. Just as websites and Google Business Profiles tend to move together in rankings, social channels usually gain visibility when your entity wins a BCAU. This update marks a new phase. It is an open invitation to social engineering at scale, with stronger relevance configuration and a deeper illusion of choice inside the SERP. Next year, around June, we plan to launch a new course and lecture series covering algorithmic authorship rules, Web Entity understanding, and layout and visual semantics. To learn more, join our community: seonewsletter.digital/subscribe #SEO via @seo_holistic

@dashboardlim content

I spent 153 hours building an AI Content Engine for Agencies & SaaS Founders It automates YouTube, LinkedIn, X, Facebook, TikTok, Instagram, & Newsletter content production pipeline - Auto-posting across all major platforms - AI-powered ideation for fresh content - AI scripting for both long-form and short-form content This system is easily worth $15K, but today it’s FREE 👉 RT + Like & Comment "content" and I’ll DM the JSON file (Must be following)

𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 𝗮𝗻𝗱 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 are essential for mastering programming in 2025, and are widely used in coding interviews, problem-solving, and much more. Here’s your Complete Beginner to Advanced Guide All, FREE of cost! Simply: 1. Follow me (So I can DM) 2. Like & Repost 3. Comment "𝗗𝗦𝗔" to receive…

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@Ai_Vaidehi Dsa

@recap_david Fit

I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce collection page → Google's Veo 3.1 generates professional model videos showing fit and movement → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how fashion companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see how clothes actually fit and move before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "FIT" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.

@JulianGoldieSEO Yes

I've just finished building the ultimate n8n automation library, and it’s a game-changer. My team sifted through thousands of scattered workflows, cleaned the junk, and handpicked the best. Now it's a fully organized vault of 1,500+ plug-and-play automations. You’ll find: - my most popular n8n builds (WhatsApp agent, scraper agent, TikTok VEO 3 automation, n8n assistant, and more) - 1,500‑flow n8n template index (tagged by growth, ops, creative) so you never start from scratch - full vibe‑coding tutorial where I go from basic n8n backend to Bolt front‑end UI in 23 min Everything’s pre-tested and production-ready. Want the link to the vault? LIKE + RETWEET + COMMENT “YES” & I’ll send you the FULL workflow + setup FREE!

@JulianGoldieSEO Yes

🚨 50+ FREE n8n AUTOMATION TEMPLATES 🚨 I compiled plug-and-play systems you can copy & paste into your biz (or sell for $$$). These ready-to-use templates cover: ⚡ Lead gen on autopilot 📝 AI-powered content creation 📩 Cold email outreach 📊 CRM + sales pipeline updates 🤖 Slack/Discord bots … and tons more ✅ No email required ✅ 100% FREE ✅ Just copy → paste → profit How to unlock 👇 1️⃣ Follow me 2️⃣ Like + Retweet this 3️⃣ Reply “YES” & I’ll send it to you

Knowledge graphs for representing information are unbeatable. After this, you will never build a RAG system without knowledge graphs. It will take you five lines of code to build a knowledge graph with your data. I recorded a video to show you how you can do this. I used Cognee, an open-source library that outperforms any basic vector search approach in terms of retrieval relevance. They are collaborating with me on this post. Cognee is: • Easy to use • Reduces hallucinations • Open-source Here is a link to the repository: github.com/topoteretes/co… They also offer a comprehensive platform and UI with Python notebooks you can utilize to manage your data. Here is the link: cognee.ai

Seq2Seq. Q2K.

Behzad Hussain @BehzadHu

9 months ago

Never Ignore Off-page Context Signals! When a document A gets a link from document B, algorithms check the context flowing around the Anchor Text placed in document B to link the document A. Based on the determined contexts, the document A is assigned the determined context

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Representative Document Selection & Cluster Ranking in Google Google doesn’t just rank pages side by side. It ranks clusters of documents, and within each cluster, one becomes the representative document. 🔹 When a representative outranks others, it means it speaks for the entire cluster. 🔹 This isn’t just about duplicates — it’s about who gets to represent. To understand this, you need to know about Google’s categorical quality scores. Based on the Content Warehouse API leak, the DOJ leak, and multiple patents, Google categorizes websites by type. In my terminology, this is Source Context. For each category, there’s a “representative source.” We call that Topical Authority. 👉 Topical Authority is a state of ranking: If you are the authority on a topic, you represent the entire cluster of sources. This is why in News SEO, even if you publish a unique story, a more authoritative outlet can hijack your content and outrank you — because they are the representative, and you are represented. Google uses many signals to decide who the representative is. One important detail: if the cluster improves in quality (PageRank, relevance, etc.), that improvement reflects on the representative document. In other words: If you represent a cluster of affiliates and one of them strengthens their signals, you also benefit as the representative. Ranking is not just one-to-one — it’s a categorical comparison across sources. Patents even describe how Google fingerprints documents and can “replace an entry’s score with the score of a newly crawled page.” A document might be a duplicate in some respects, but still unique in others. This ties into query-specific deduplication, which I’ll cover another day. 📌 Key takeaway: When analyzing SERPs, don’t just compare page vs page. First ask: Who’s the representative for this category? Am I the one representing, or just being represented? If you want to explore more about deduplication, categorical ranking, and Topical Authority, join our community or course → seonewsletter.digital/subscribe #SEO #TopicalAuthority #GoogleRanking

🚀 Query Rewriting & Google’s AI Search Three different patents from three separate teams of Google engineers — Query Rewriting with Entity Detections Query Rewrite Corrections Efficient Query Rewriting …all converge on the same concept, which later appears in Google’s “Search with Stateful Chat” patent. This patent is the foundation of Google’s AI Search Mode. 🔎 As always, the process begins with document ranking. If a document isn’t deemed responsive to a query, its passages are never even considered as candidates. This is what I call the SERP Triad: 1️⃣ Document ranking supports passage ranking. 2️⃣ Passage ranking supports passage generation. 3️⃣ But everything starts with the query. That’s why query semantics ≠ lexical semantics. The query you optimize for might not be the same query Google uses to generate AI answers. Patents on query rewriting and query processing highlight this. For example: A query like “anaphylaxis triggers” might be internally re-written as “main anaphylaxis triggers” or “list of anaphylaxis triggers.” Depending on the rewrite, vocabulary relevance and sentence-level semantics shift entirely. 💡 Many in the SEO world chase hype to sell more services. But if you read the patents, you’ll notice it’s often the same systems and terminology—just layered with refinements. 👉 D > Q is as old as Q > D. D = Document Q = Query And this fundamental never changes. If you want to decode Google’s systems directly from their engineers’ legal work, you’ll find a deeper truth behind the noise. 📚 Learn more in our course & community: 🔗 seonewsletter.digital/subscribe #SEO #Search #TopicalAuthority