🐹 Hamsterdam Part 152: Weekly SEO/GEO News Recap (10/31 to 11/6, 2026)
By Ethan Lazuk
Last updated:
A weekly look-back at SEO/GEO news, tips, and other content shared on social media & beyond.
Opening notes, thoughts, and musings:
- My website is now eligible as a Preferred Source in Google. I’d be grateful if you added me!
- Welcome to another week of Hamsterdam! 🐹 If you’re new here, this is a weekly summary of hand-curated SEO/GEO news and tips shared on social media. Like a newsletter, but different.
- Curious what I’ve been up to? Check out my latest blog posts from the past week:
- Entities Talked About in 2010 and What Still Applies Today (A Hamsterdam History Lesson)
- What Months of AI Research Taught Me About SEO/GEO: 7 Themes and Practical Lessons (A Hamsterdam Research Post)
- How Marketing Theories Connect to Explain Brand Discovery and Decision-Making in the Age of AI Search: A Hamsterdam Marketing Lesson
- Let’s Talk About “Construal Level Theory” in the Context of SEO/GEO: A Hamsterdam Marketing Lesson
- How to Write a Blog Post for AI Search Visibility and Citations: A Tales from the Query Post
- Exploring “Does the Citation Matter? Quality, Grounding, and Physician-Rubric Accuracy of Google’s AI Overviews for Medical Information” for SEO/GEO Insights: A Hamsterdam Research Post
- Exploring “Predicting What Answer Engines Cite: Open Decision Models, Rerankers and a Distilled 4B Student on Ten Engines under Controlled Retrieval” for SEO/GEO Insights: A Hamsterdam Research Post
- I appreciate you being here and look forward to sharing the week’s SEO/GEO news below! 🙌
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: “Diagnosticity”
Diagnosticity is a term from consumer behavior and marketing that refers to how useful a piece of information is for evaluating alternatives and making an informed decision. In short, information has high diagnosticity when it helps someone distinguish between options, reduce uncertainty, or determine which choice best meets their needs.
It’s interesting to incorporate diagnosticity into SEO/GEO, because the concept adds another perspective to our content, which is whether it actually helps someone make a decision?
Consider a user asking ChatGPT, “What’s the best project management software for a small marketing agency?” Low diagnosticity content may say something like, “Our software is powerful, intuitive, and designed for teams of all sizes.” It’s broad and only mildly helpful. On the other hand, high diagnosticity content may contain more details, such as, “Our software supports unlimited client projects on the Business plan, integrates with Slack and Google Drive, and charges per user, making it more economical for smaller teams than agencies with large contractor networks.” In short, the second example provides information that can meaningfully differentiate alternatives.
Practical questions to self-assess your content against diagnosticity could be:
- Does this content help users distinguish our offering from alternatives?
- Does this content provide concrete, verifiable evidence instead of generic promotional claims?
- Could an AI system use this information to explain why one option might be better suited to a particular user?
But perhaps the broader lesson is that content can be relevant without being particularly diagnostic; that’s an opportunity … AI search is increasingly mediating product discovery and comparison, so helping users evaluate alternatives may be just as important as answering their initial questions.
🤖 AI word of the week: “Context–Memory Conflict”
Context–memory conflict is a phenomenon in which an AI model encounters information that contradicts what it has learned during training.
LLMs draw on parametric knowledge (information encoded in the model’s learned parameters during training) and contextual knowledge (information supplied at inference time, such as retrieved webpages, documents, or search results). When these sources disagree, the model must determine which information to trust. Furthermore, research shows that models don’t always prioritize the newer or more accurate evidence.
As an example, imagine a software company that changes its pricing from $99 to $149 per month. Its website reflects the new pricing, but an AI model has previously learned that the product costs $99. Even when the model retrieves the updated page, it may still favor its outdated knowledge. That’s context-memory conflict.
In terms of practical takeaways for SEO/GEO professionals:
- Keep important brand information consistent across your website and authoritative third-party sources.
- Clearly communicate changes to products, pricing, leadership, and services.
- Test whether AI systems accurately incorporate updated information, rather than assuming successful retrieval guarantees an accurate answer.
- Investigate whether persistent inaccuracies result from outdated sources, conflicting retrieved evidence, or the model’s existing knowledge.
This concept challenges a common assumption in GEO that making updated information accessible to AI systems necessarily means they’ll use it correctly. It also leaves us with a key question: can a brand change faster than an AI model’s understanding of it?
✌️Introduction to week 152: “Congratulations Dania”
Yesterday was my wife’s birthday: Happy Birthday Dania! 🎂
On that day, she heard back from a job she’d applied for a while back … they want to hire her.
Congratulations Dania! 🎉
I wouldn’t have been able to go out on my own as a consultant without the support of my wife. The truth is, I couldn’t be happier professionally than working for myself, and I owe her a lot.
Therefore, this introduction is dedicated to you, Dania! (She reads every Hamsterdam, so I know she’ll see it. 😉)
Thank you for supporting Hamsterdam and the cause of SEO/GEO learning. 🙏
Enjoy the vibes:
Missed last week? Don’t worry, I got you! Read Part 151 to catch up.
🌟 Other great sources of weekly SEO/GEO 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
- Core Updates – Mark Williams-Cook, Candour Agency Ltd.
Time for our weekly review of SEO/GEO 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
Or keep scrolling to see it all. ⏬
📰 SEO/GEO 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/GEO
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/GEO specific.
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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