Maximilian Meyer

According to iBusiness, 84% of the top 100 SEO agencies in Germany offer GEO services. For 30% GEO is already a top focus area. For 7% GEO is the number 1 priority!

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+81.5% Clicks & +70.2% Impressions in 28 Days! 🚀 What drove this growth? Site-wide N-grams. This concept, rooted in Koray’s Framework, is key for site-wide topicality signals. Google evaluates a site’s lexical patterns to determine its primary topic — something we’ve seen confirmed in Google’s API leak (thanks to Erfan) through the siteFocus property. A website deeply connected to a topic must consolidate relevance across all angles. However, many SEO campaigns fail to optimize the ratio between main content vs. boilerplate content (headers, footers, disclaimers). In one of my early SEO case studies, I removed the entire header and footer menus (kept only the logo!) to reduce cost of retrieval and PageRank dilution. Each page had only 3 internal links with unique anchor texts — and yes, if you’ve been following me for years, you probably remember that project! Pro Tip: • Even a long legal disclaimer or copyright notice can dilute your site’s topical relevance. • I often use dynamic headers & footers that adapt to the topic segment of the site. This sculpts PageRank and strengthens topical focus. • Varying anchor texts in boilerplate links can further refine the source-target relevance. Important Note: Site-wide n-grams aren’t about keyword spamming. Learn term-weight calculations and encapsulate semantic relevance correctly. The site in the screenshot was hit by HCU, but we recovered it by moving unrelated topics to subdomains. By reducing total site size and consolidating topical focus, we achieved a positive re-ranking — as the graph clearly shows. Want to master these strategies? Join our community & course: https://lnkd.in/dp8mGy8E

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OTTO just handed sellers a new lever, manual keyword targeting for Sponsored Product Ads. Beta results show +120% ROAS and +50% CTR when brands take control. This is a big shift for Germany’s homegrown giant. Instead of relying only on contextual placements, you can now bid on the exact search terms shoppers type on otto. Booking runs in Partner Connect, you get an automated keyword report, you can mine auto-suggest, and you set bids per term. In practice, this puts OTTO closer to Amazon’s style of control, with EU retail media nuances. What it means 🔑 Precise query control, fewer irrelevant clicks and cleaner intent. 💸 Comparable CPCs and ROAS to benchmark, easier budget moves from awareness to intent. 🧩 Smarter mix, keep automated SPA for discovery, harvest winners into manual sets. ⚙️ Flywheel effect, search learnings feed titles, attributes, pricing and stock. What to do this week 🧪 Start with margin-safe heroes, confirm price, stock and delivery accuracy in ChannelEngine. 🎯 Seed 25 to 50 core queries per cluster from titles, attributes, synonyms and OTTO auto-suggest. 🧱 Build tight ad groups by use case or subcategory, set conservative starting bids and expand. 🔍 Read the keyword report frequently, add new winners, pause low quality terms fast. 📊 Track CTR, CVR and ROAS at query level, shift budget toward proven intent. Operator lens, this is German precision for your search spend. If you already run OTTO via ChannelEngine, a two week test is enough to see if keyword control beats your current automated SPA baseline. Curious which queries you would bet on first for your category? #OTTO #RetailMedia #MarketplaceAds #ecommerce #ChannelEngine

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𝗔𝗜 𝗠𝗮𝘅 𝘃𝘀. 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗠𝗮𝘅: 𝗗𝗼 𝗜 𝗿𝗲𝗮𝗹𝗹𝘆 𝗻𝗲𝗲𝗱 𝗯𝗼𝘁𝗵? 🤔 This is a question I get asked a lot by advertisers lately. And the short answer is: YES - any brand should use both. ✅ But I have to admit, at first sight there seem to be a lot of similarities. 🚀 𝗟𝗲𝘁 𝗺𝗲 𝘁𝗿𝘆 𝘁𝗼 𝗲𝘅𝗽𝗹𝗮𝗶𝗻 𝘁𝗵𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲𝘀:  ➡️ AI Max is like upgrading existing search campaigns. It brings the power of AI-driven Broad Match, keywordless targeting, and ad customization to text ads on Google Search. It's enhancing what most advertisers are already do well. ✨ ➡️ Performance Max is a stand-alone campaign type. It serves ads across channels, from Search to Shopping, to Display and YouTube, and to Gmail. It's introducing new ad opportunities to meet customers where they are. 🌍 𝗦𝗼 𝘁𝗵𝗲 𝗰𝗼𝗿𝗲 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝗰𝗲? PMax serves across all Google channels. AI Max is specifically for the future of search. ✅ 𝗪𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝗮𝗱𝘃𝗲𝗿𝘁𝗶𝘀𝗲𝗿𝘀 𝗻𝗼𝘄 𝘂𝘀𝗲?  Trying to maximize reach across touch points? ↳ Use PMax. Trying to reach users when they search? ↳ Use AI Max. Trying to be successful with Google Ads? ↳ Use both. How are you combining PMax and AI Max? Let me know in the comments! 💬 -- 🔔 Follow me for more posts on digital marketing, careers in tech, and life at Google. ♻️ Share this post with your network if you enjoyed it.

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Scaling ads isn’t just about CPMs or creatives.   It’s about knowing your real numbers. The math no one teaches you, but should. Most founders pour $$ into paid traffic... But never check how fast that spend pays back. Your CAC could be $100. But if your LTV is $300… You're printing future profit, or future losses. And break-even ROAS? Miss that mark, and you’re scaling at a loss. Then there’s funnel leakage... All the people clicking, but not converting. That’s money lost at every step. In this carousel, we break it all down: → Payback period → Blended CAC → Funnel loss → Margins at scale No fluff. No theory. Just clear, simple math that guides real growth. Know your numbers. Or burn through your budget wondering why. Save this post. Share it with a founder who needs it. P.S. If your ads are performing like a leaky faucet, this math is your plumber👀

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SEO isn’t dead… but it’s no longer the full picture. We are currently building our new website right now and yes, we are thinking about Google SEO... but we’re also thinking about AI search. Because the way people find trusted advice is changing fast. Think about it: People used to Google: “Inheritance tax planning UK” Now they’re asking ChatGPT: “How do I make sure my kids keep the family home without paying 40% tax?” “Should I put life insurance in trust if I have multiple beneficiaries?” And AI gives answers — not links. In the last few weeks you might have seen Google asking you to try out the new AI Search feature (let's be honest the old one was rubbish) I barely even use Google anymore and neither does my 11 year old daughter. Chat GPT for nearly everything! If your firm isn’t creating content that AI can read, understand, and trust, you won’t even be in the conversation in a few years. Here’s what we are preparing for Plannex ® (formerly NextGen Planners) : 2025 – AI search supplements Google 2026 – It competes with Google 2027+ – It replaces Google for advice driven search That’s why we are focusing on more than keywords: - Creating answer first, structured content (on Marcus Sheridan's They ask you answer model) - Building our own GPTs - Training AI to understand what we do and who we help Because in this new world, your content isn’t just for marketing… It’s your discoverability.

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𝐓𝐡𝐞 𝐫𝐨𝐥𝐞 𝐨𝐟 𝐚 𝐦𝐚𝐫𝐤𝐞𝐭𝐞𝐫 𝐢𝐧 𝐀𝐬𝐢𝐚 𝐢𝐬 𝐞𝐯𝐨𝐥𝐯𝐢𝐧𝐠 𝐟𝐚𝐬𝐭𝐞𝐫 𝐭𝐡𝐚𝐧 𝐞𝐯𝐞𝐫. For years, our region has been defined by constraints: 🔹 Smaller budgets 🔹 Leaner teams 🔹 Founders expecting marketers to handle everything Each global marketing wave created new specialists: 🔸 SEO experts during the rise of search 🔸 Community managers with the boom of social 🔸 Growth hackers through the rise of e-commerce and SaaS But AI has shifted the pattern. It isn’t creating more niches—it’s amplifying the impact of 𝘨𝘦𝘯𝘦𝘳𝘢𝘭𝘪𝘴𝘵𝘴. Across Asia, the marketers driving real results today are those who: → Move fluidly across channels → Combine strategy with hands-on execution → Use AI to extend their reach without bloating team size I saw this firsthand early in my career. Working across paid media, content, and email gave me the ability to connect the dots. That foundation shaped how we built 2Stallions Digital Marketing Agency: 🔹 Holistic strategies that tie together every channel 🔹 Specialists with cross-domain knowledge, not siloed experts 🔹 SOPs that encourage collaboration so we can act as a generalist for clients—even while individuals deepen their expertise This approach has become 𝐨𝐮𝐫 𝐜𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐯𝐞 𝐚𝐝𝐯𝐚𝐧𝐭𝐚𝐠𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐀𝐈 𝐞𝐫𝐚. For marketers in Asia, this is the biggest shift since the Internet. Those who adapt will grow stronger. Those who don’t will be automated away. The question is no longer if you should evolve into a generalist. It’s 𝐡𝐨𝐰 𝐪𝐮𝐢𝐜𝐤𝐥𝐲 you can do it before the industry moves ahead without you. 👉 How are you evolving your skills to stay relevant in the AI era? #MarketingStrategy #DigitalMarketing #AIMarketing #FutureOfWork #MarketingGeneralist #AsiaBusiness #Leadership

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SEO & AI Tip: Agentic Buying Is Now Open to Everyone, not just ChatGPT. The ability to complete purchases through AI agents just took a big step forward yesterday. OpenAI & Stripe announced yesterday the Agentic Commerce Protocol (ACP) and that it is now live and open to everyone to build with. That means Agentic checkout that OpenAI just announced for ChatGPT can be built into your own websites, applications, and agents. Think AI-driven transactions that actually complete purchases without needing to click through pages or rely on traditional UX flows. This changes what’s possible for e-commerce teams building AI into their products. Here’s what just became possible: 1 - You can add a shopping agent to your own site trained on your inventory, pricing, and order APIs. 2 - The user can interact via text, voice, or image and the agent can handle the transaction end to end. 3 - You don’t need to rebuild your store, ACP works with your existing infrastructure and a payment processor that supports it (Stripe is already supported). 3 - Any agent, from an on-site assistant to a mobile app, can initiate checkout in a standardized way with you still owning the customer and fulfillment Here is a potential example: Large E-commerce Site With a Visual Concierge Let’s say you run a major e-commerce site in fashion, furniture, or auto parts. A shopper lands on your homepage and uploads a photo of the item they want, maybe a jacket from Instagram, a sofa leg they broke, or a specific wrench that fits their mower. Your on-site AI concierge kicks in: - Converts the image to a vector embeddings to match it against your inventory - Verifies availability, size, and price - Suggests alternatives if the exact match is not in stock - Then calls your ACP checkout endpoint, passes a secure payment token, and places the order No need to browse, filter, add to cart and add payment information. Just ask for it and buy it. Why This Matters for SEO Optimizing your site content, product inventory, imagery, and anything that can help make Agents more easily find the right product for those searching via agents will directly impact how Agents find and recommend your products. Make sure its clear in your data, text and imagery who your ideal customers are for each product to help Agents better match them to the people they're acting on behalf of. Why This Matters for Brands Most brands think of AI assistants as a front-end tool for discovery or support. ACP flips that around. We know that speed to purchase has a huge impact on e-commerce transactions. This may make it even easier and faster for people to find what they want. With ACP: - You remain merchant of record - You control fulfillment, returns, and data - You open up your site to new shopping patterns: mobile agents, voice shopping, post-purchase reordering, concierge style product finders This protocol makes agentic commerce a real channel not a side project.

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