🐹 Hamsterdam Part 136: Weekly SEO, AI & Marketing News Recap (2/7 to 2/13, 2026)
By Ethan Lazuk
Last updated:
A weekly look-back at SEO & AI news, tips, and other content shared on social media & beyond.
Opening notes, thoughts, and musings:
- Welcome to another new week of Hamsterdam! 🐹
- I appreciate you being here, and look forward to sharing the week’s news! 🙌
If you’re in a rush, hop down to the news portion. 📰
Or continue reading for two vocabulary lessons plus an introduction.
And we’re off …
🧑💻 Marketing word of the week: “Omnichannel marketing”
Omnichannel marketing is as strategy where all customer touchpoints work together as one unified system. The idea is to make the experience feel seamless no matter where someone interacts with the brand.
This is different from multichannel marketing, which is simply being on different platforms (website, social, email, etc.), but they may operate in silos. With omnichannel marketing, the platforms share data, messaging, and context.
For example, whether someone clicks an Instagram ad, visits your website, abandons their cart, or visits a physical location (your store), in a omnichannel system the steps are cohesive. In short, the strategy revolves around the customer journey, not the platform.
To run an omnichannel strategy, there needs to be data integration, consistent messaging, and context awareness (like if someone has already purchased, they’ll stop seeing “buy now” ads for the same product).
Brands invest in omnichannel marketing because it improves LTV, conversion rates, brand trust, retention, data accuracy, and attribution clarity. It also helps reduce wasted ad spend.
🤖 AI word of the week: “One-shot learning”
One-shot learning is an ML approach where a model learns to recognize or classify something from just one example. While traditional ML needs hundreds or thousands of labeled examples, one-shot systems learn the pattern of similarity and can generalize from a single instance.
Under the hood, one-shot learning often uses metric learning (learning similarity), Siamese networks (comparing two inputs), and embedding spaces (mapping items into a structured vector space). Instead of memorizing categories, the model learns “how similar is this new thing to what I’ve seen before?”
Why does this matter to marketing? Well, modern marketing is personalization-heavy, and data is often sparse in early stages. One-shot learning can shine when you launch new products, enter new markets, have niche segments, or don’t yet have a big historical dataset.
One-shot learning can help with cold-start personalization (a new customer visits your site once, allowing you to compare that single action to embeddings of existing customers), creative testing at scale (launching a new ad creative with no performance data, the model can compare it to embeddings of past ads), micro-segmentation (modern marketing involves smaller segments, so you may only have a handful of examples per), and brand and sentiment monitoring (if a new trend or phrase appears on social, the system can match it semantically with known themes).
In short, one-shot learning shifts marketing from “wait for data accumulation” to “generalize intelligently from minimal signals.”
😊 Introduction to week 136: “Broader horizons”
I started Hamsterdam to focus on SEO. Soon AI became a bigger part of the equation, so we incorporated that. Now an internal change is leading to a bigger shakeup …
In my daily work life, I’m transitioning from solely doing SEO work to overseeing multiple digital marketing channels. As a result, I have plans to expand Hamsterdam as well.
You can still come here to find the latest news and updates from the SEO world, but now I’ll be incorporating more insights from other channels, like paid search, paid social, email, and organic social.
This change will happen gradually, so for now the sections below will remain the same, but expect more evolutions in the future!
Let’s grow together.
Thank you for supporting Hamsterdam and the cause of SEO, AI, and marketing learning. 🙏
Enjoy the vibes:
Missed last week? Don’t worry, I got you! Read Part 135 to catch up.
🌟 Other great sources of weekly SEO/marketing news:
- The SEO Weekly – Garret Sussman, iPullRank
- SEOFOMO – Aleyda Solis
- Weekly Video Recaps – Barry Schwartz, SER
- Weekly SEO News YouTube channel – Olga Zarr, Seosly
- Niche Surfer – Yoyao Hsueh
- More to come soon!
Time for our weekly review of SEO, AI, and marketing social posts, articles, & more …
Now, let’s step inside the white flags of Hamsterdam …
⏩ Jump to a section:
- News, Google updates, & SERP tests
- SEO tips & tidbits
- Fundamentals & resources
- Articles, videos & case studies
- Local SEO
- Technical SEO
- Content marketing
- Local SEO
- Data analysis & reporting
- AI, LLMS, & machine learning
- Miscellaneous & general posts (for now the main marketing section)
- Older stuff that’s good!
Or keep scrolling to see it all. ⏬
📰 SEO news, Google updates, SERP tests & notable posts
Notable updates or news related to Google Search or related SEO topics.
🍟 SEO tips & tidbits
Actionable tips, cool tidbits, and other snackable findings and observations that can be teaching moments.
Essential information, concepts, or resources to learn about SEO or AI
Longer-form content pieces shared on social, in newsletters, and elsewhere.
🧑💻 Technical SEO
Everything from basics to advanced moves (and also tools).
✍️ Content marketing
From what is helpful content to user journeys and beyond.
📍 Local SEO
From Google Business Profiles to reviews and more!
📊 Data analysis & reporting
Showing that what you’re doing is helping.
🤖 AI, machine learning, & LLMs
News related to models, papers, and companies.
🤔 General marketing & miscellaneous
This is for great content that isn’t necessarily SEO or marketing-specific. PPC, PR, dev, design, and social friends, check it out!
💎 Older stuff that’s good!
Not everything I find worth sharing is new as of this week, so these are gems I came across published in the past.
Let’s connect!
Hit me up anytime via text or call at 813-557-9745 or on social or email:
Cheers! ✌️
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