Everspring’s Post

WebKnoGraph: An open research project that uses data processing, vector embeddings, and graph algorithms to optimize internal linking at scale Built for both academic and industry use, it offers a transparent, AI-driven framework for improving SEO and site navigation through reproducible methods. Revolutionizing website internal linking by leveraging cutting-edge data processing techniques, vector embeddings, and graph-based link prediction algorithms. By combining these advanced technologies and methodologies, the project aims to create an intelligent solution that optimizes internal link structures, enhancing both SEO performance and user navigation. WebKnoGraph is designed for tech-savvy marketers and marketing engineers with a strong understanding of advanced data analytics and data-driven marketing strategies. Ideal users are professionals who have experience with Python or have access to development support within their teams. These individuals are skilled in interpreting and utilizing data, as well as working with technical tools to optimize internal linking structures, improve SEO performance, and enhance overall website navigation. Whether directly coding or collaborating with developers, they are adept at leveraging data and technology to streamline marketing operations, increase customer engagement, and drive business growth. If you're a data-driven marketer comfortable with using cutting-edge tools to push the boundaries of SEO, WebKnoGraph is built for you. Link in comments #OpenSource #SEO #algorithms #Marketing #Graph #AI #MarTech -- The Year of the Graph's Autumn 2025 newsletter issue on all things #KnowledgeGraph, #GraphDB, Graph #Analytics / #DataScience / #AI and #SemTech is out. Subscribe and follow to be in the know. Reach out if you'd like to be featured 👇 https://lnkd.in/dR-w8Ted

🤖📉 AI is Changing Search — Don’t Lose Your Traffic! 📈⚡ Worried that AI-powered search is cutting into your school’s website traffic? You’re not alone. With AI overviews, chatbots & voice search giving users instant answers, fewer clicks are reaching school websites. 🚨 But here’s the good news 👉 Higher Education Marketing’s live webinar will show you how to adapt & thrive in the new search era. What you’ll learn: ✅ How Google & Bing use AI to deliver answers 🔍 ✅ Why long-tail & conversational queries are key 🎯 ✅ GEO (Generative Engine Optimization) – the next frontier beyond SEO 🚀 ✅ Structuring content for AI (headings, schema, bullet points) 📝 ✅ Boosting visibility with E-E-A-T principles (Experience, Expertise, Authoritativeness, Trustworthiness) 🌟 This session is perfect for marketers, enrollment teams & school leaders who want to future-proof their digital strategy. 👉 Full details: https://lnkd.in/dJyUpc8k #AIinEducation #SEO #DigitalMarketing #EdTech #StudentRecruitment #GenerativeAI #HEM

𝐆𝐨𝐨𝐠𝐥𝐞 𝐀𝐈 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰𝐬 𝐎𝐯𝐞𝐫𝐥𝐚𝐩𝐬 𝐎𝐫𝐠𝐚𝐧𝐢𝐜 𝐒𝐞𝐚𝐫𝐜𝐡 𝐁𝐲 𝟓𝟒% 📊 New research from BrightEdge shows how much Google’s AI Overviews (AIO) is overlapping with traditional search — and the numbers are eye-opening. 🔎 𝐊𝐞𝐲 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬: 54% of AIO citations match organic results. (That means 46% don’t overlap at all!) Healthcare (75.3%), Education (72.6%), and Insurance (68.6%) show the strongest overlaps. E-commerce? Just 22.9% overlap — and coverage is even declining. 💡 𝐖𝐡𝐚𝐭 𝐭𝐡𝐢𝐬 𝐦𝐞𝐚𝐧𝐬 𝐟𝐨𝐫 𝐒𝐄𝐎𝐬 & 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬𝐞𝐬: 1️⃣ Content quality & semantic relevance matter more than ever. It’s not just links or traditional signals — Google’s FastSearch AI looks at what users expect to see. 2️⃣ Different verticals, different rules. E-commerce requires different strategies compared to YMYL (health, finance, education). 3️⃣ AIO is evolving fast. Overlap has grown from 32% at launch to 54% today. The direction is clear: AI-driven search is reshaping visibility. ⚠️ 𝐓𝐡𝐞 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲: Traditional SEO still matters, but precision, relevance, and matching user intent are becoming the real winning factors. If AI doesn’t see your content as the “expected” answer, you may get skipped — even if you rank organically. 👉 Do you think AI Overviews will eventually replace traditional SERPs for most queries, or will we see a hybrid search model? #SEO #AIOverviews #DigitalMarketing #GoogleAI #Search

Google loves citing… Google. But here’s the real surprise ... 𝗥𝗲𝗱𝗱𝗶𝘁 𝗮𝗻𝗱 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻 𝗯𝗲𝗮𝘁 𝗔𝗽𝗽𝗹𝗲, 𝗔𝗺𝗮𝘇𝗼𝗻, 𝗮𝗻𝗱 𝗦𝗵𝗼𝗽𝗶𝗳𝘆 𝗰𝗼𝗺𝗯𝗶𝗻𝗲𝗱. Surfer analyzed 46M citations across 36M AI Overviews (from Mar–Aug 2025). Here are the top domains AI trusts most: 1️⃣ YouTube — 23.29% 2️⃣ Wikipedia — 18.41% 3️⃣ Google — 16.38% 4️⃣ Reddit, Inc. — 9.37% 5️⃣ LinkedIn — 8.80% By the time you hit Apple, Adobe, Shopify, Amazon… each is under 3%. AI isn’t “searching the web” randomly. It’s citing a concentrated set of trusted domains. That means: • 𝗨𝗚𝗖 𝗶𝘀 𝗸𝗶𝗻𝗴 → Reddit + LinkedIn are now primary sources. • 𝗩𝗶𝗱𝗲𝗼 𝗶𝘀 𝗵𝗼𝘁 → YouTube dominates AI visibility. • 𝗔𝘂𝘁𝗵𝗼𝗿𝗶𝘁𝘆 𝗰𝗼𝗺𝗽𝗼𝘂𝗻𝗱𝘀 → Backlinks from trusted domain And you show up across thousands of answers. If your brand isn’t embedded in these ecosystems, AI won’t mention you. SEO was about ranking pages. GEO is about earning citations where AI looks first. Where does your brand live today? Inside AI’s trusted sources, or outside the conversation? #AIsearch #GEO #DigitalMarketing #FutureOfSearch

🔍 Happy National Online Learning Day! While anyone can “do” search today—thanks to AI and shiny tools—truly mastering it requires something far more human: curiosity, context, and brains-on. Take local SEO, for example. It’s not just about sprinkling keywords everywhere. The algorithm breaks down into three strategic pillars: ▸ Proximity How close are you to the searcher ... and is your contact info perfectly accurate? ▸ Relevance Are you actually matching the intent of the search? ▸ Prominence Are you trusted locally? Reviews, quality citations, and consistent Google Business data all feed into your authority. These aren’t surface-level tasks—they require continuous tweaks, testing, and intelligent thinking. That’s why we invest in our team’s learning, from audit deep-dives to mastering listings, reviews, and algorithm shifts. Because true marketing growth doesn’t come from tools alone. It belongs to the people who know how to bend data, maps, and nuance to real business results. Here’s to lifelong learners. And to building strategies that win...not just run. Let's talk about making your marketing win! 👉 https://bit.ly/3JzxODK #NationalOnlineLearningDay #LocalSEO #AlwaysLearning #MatyxMethod #GrowthEngine

Ranking #1 on Google used to mean you’d won the race. Not anymore. There was a time when landing the top spot on Google felt like a victory. You did the work, and that number one ranking was proof you’d made it. But the game has changed. More than half of today’s searches don't lead to a click anymore because AI is answering questions right on the results page. I'm sure you've seen it when you do a Google search and see the Gemini snippet at the top of the page. Google searches are up nearly 50%, but clicks to websites are down by about 30%. It’s no longer just about showing up first. Now it’s about whether you even make it into the AI’s summary. That’s where Generative Engine Optimization (GEO) comes in. Between 30 and 50% of searches are already starting with AI overviews. And most people never click past them. I read recently that GEO training takes up over 20% of digital-marketing courses this year, with projections that it will increase even more by 2026. The message is clear: getting noticed inside AI results is just as important as traditional SEO. Here’s what I’ll encourage you to focus on, just like we are at Marketing Guardians: • Write content with depth and a human voice. AI engines prefer pages that use natural language and actually answer real questions. • Build credibility beyond your own site. Mentions in articles, forums, and reviews all play a role in whether AI includes you in its answers. • Stay in learning mode. GEO is a new territory, and those who adapt will stay visible while others fall behind. So here's my question: have you looked at how your brand is showing up outside of your own website? And what steps are you taking to make sure your business is part of those AI answers? #GenerativeSEO #DigitalMarketing #MarketingStrategy #AIInMarketing #SEO #GEO #MarketingGuardians #SubscriptionBasedFractionalMarketing

I’ve had enough of: this is how you “rank” in LLM posts. Brother, there is no ranking. Yes, LLMs ingest web content. But unlike Google, they’re not crawling to index and score authority. They’re building probabilistic language models. And probability means randomness isn’t a bug, it’s part of the foundation. → That’s why the same question can yield different answers. → That’s why outputs shift with temperature settings. → And that’s why the idea of “optimizing” for LLMs like they’re a search engine is fundamentally flawed. There are entire research labs (I happened to work for one of them) dedicated solely to the problem of interpretability. Some of the brightest minds in machine learning spend their days trying to understand why a model produced a particular output. And it’s hard. Incredibly hard. So when I see people convinced they can spot patterns and “game” an LLM for visibility, I can’t help but think: if interpretability is still one of the toughest open problems in AI research, what makes you believe you can reverse-engineer it with SEO tactics? There are only two things that are going to work: Brand Authority and Goooood SEO. A more counterintuitive strategy 👇 Instead of throwing money into over-optimizing for a system designed to be non-deterministic, invest in something that creates real-world, durable authority. Maybe host an event. Sponsor a roundtable. Get covered in the press. Events generate mentions, backlinks, contextual references → these are signals that compound across both search engines and AI models. You’ll get far more ROI from being consistently visible in your industry than from chasing patterns in a black box that isn’t meant to be “figured out.” You best bet is to take a step back. Come back to the foundations of marketing. And create experiences - via content on your website and in general. Build you marketing foundations right. If you’ve made it till here - I want you to sign up for a newsletter that’s meant to give you real insights. No hacks. No trends. No BS. And because I hate going through loops to find link in comment - here it is at the cost of reach - https://lnkd.in/gcUJ_f8t See you soon! #ContentMarketing #SEO #GEO #AIO #Marketing

🔍 Revolutionizing Search: How Google's AI Web Guide is Changing How We Find Information Imagine having a smart librarian who not only finds your books but organizes them into perfect categories before you even ask! That's exactly what Google's groundbreaking AI Web Guide does for your search results. 💡 This innovative feature completely transforms our search experience by using advanced AI technology to cluster search results into meaningful topic groups. Instead of endless scrolling through disconnected links, you get an organized overview that makes sense! Here's what makes it game-changing: 🎯 Smart Topic Clustering: The system automatically groups related information together, making it super easy to explore different aspects of your search topic. No more jumping between dozens of tabs! 📝 Instant Smart Summaries: Each topic group comes with an AI-generated summary that gives you the big picture before you dive in. Think of it as having a preview of what you'll learn! 🔄 Advanced Search Technology: Behind the scenes, the system performs multiple related searches simultaneously, ensuring you get comprehensive coverage of your topic from every angle. 🧪 Try It Yourself: Through Google Search Labs, you can experience this next-generation search approach and compare it with traditional results. It's like having both a classic map and a GPS - each valuable in its own way! Why This Matters: In our information-heavy world, finding exactly what we need can feel like searching for a needle in a digital haystack. This AI-powered approach doesn't just find the needle - it organizes the entire haystack! It's especially valuable for research projects, learning about complex topics, or just satisfying your curiosity more efficiently. 💭 What's your take on AI-enhanced search tools? Have you tried the new Google Web Guide? Share your experiences in the comments! #AITechnology #DigitalInnovation #GoogleSearch #TechEducation #FutureOfSearch #DigitalLiteracy

So I just watched: How To Train Google’s AI to Send You Customers and it hit differently. Look, for years I chased rank 1 for keywords. But what if that’s not enough anymore? Here’s what I’m realizing: Google isn’t just showing links now it's giving AI-powered answers. If your content isn’t cited by those answers, users might never click to your site because they got their answer already. That’s where GEO Generative Engine Optimization comes in: training AI so your brand becomes part of the answer. That means: • Cover a topic deeply, exploring sub-questions. • Use clear visuals, structure, and mixed media video + text. • Think about what questions your user will ask next and answer them in your content. The scary part? Zero-click search is growing meaning people might never land on your page if AI gives the answer directly. As a developer, I see both opportunity and warning in this shift: Opportunity: If I build content that AI trusts, I don’t just get clicks… I get memorability. Warning If I keep only doing what worked in 2023, I risk being left behind. So here’s my bet: 2025 isn’t about ranking #1 for a keyword It’s about being the answer Google wants to cite. Question for you: What’s one topic in your niche you can fully own so deeply that AI has to cite you? #GoogleAI #AIFuture #ContentStrategy #DigitalGrowth #SEO #GenerativeAI #LinkedInGrowth

When people say Google Ads runs on machine learning, most marketers nod but don’t really know how. Here’s the truth. Google isn’t just running one type of ML. It’s like having 4 different media buyers on your team. Each with their own style of working. Media Buyer 1 - The Rule Follower (Supervised Learning) This one loves clear instructions. They learn from past search terms/keywords and other levers where you labeled success vs. failure (this converted, this didn’t). That’s Smart Bidding. But if your tracking is wrong, this buyer confidently optimizes for the wrong goals. Media Buyer 2 - The Pattern Finder (Unsupervised Learning) They’re obsessed with spotting hidden trends. That’s audience clustering, grouping users into in-market or affinity without you telling them. The better signals you give them (customer lists, CRM data), the sharper their targeting becomes. Media Buyer 3 - The Experimenter (Reinforcement Learning) They hate theories. They learn by testing. That’s Responsive Search Ads, trying different headlines and combos, keeping what wins. If you only hand them bland headlines, you kill their ability to learn. Media Buyer 4 - The Creative (Deep Learning) They thrive on visuals. That’s Performance Max, scanning images, videos, and product feeds to generate tailored ads. Poor assets = poor performance. So the real question isn’t if Google’s ML is good or bad. The question is if you are giving each of these buyers what they need to succeed. Most advertisers don’t fail because of Google’s machine learning. They fail because they sabotage it without even realizing.