Archive
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PLEDGE (via Google DeepMind), Content Planning for Navigating Trade-Offs of Specificity & Attribution in KGD Systems, & Why SEOs Should Care (Maybe)
We look at Google DeepMind’s PLEDGE framework of content planning for attribution and specificity trade-offs in knowledge-grounded dialogue systems, and why SEOs should care (maybe) in this Hamsterdam History article.
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“Hello, World”: Exploring the History of Microsoft’s Search Engines, from MSN to Bing Sources in Today’s AI Chats (Hamsterdam History)
This Hamsterdam History lesson examine the history of search engines from Microsoft, from MSN Search in 1998 to Copilot with Bing and other AI chats today.
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Could Google Soon Understand Text in Your Images? Exploring Hierarchical Text Spotter (HTS) (via Google Research) & Why SEOs Should Care (Maybe)
We’ll look at Google Research’s “Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis” and why SEOs should care (maybe).
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Did Searchology 2009 Hint at Google I/O 2024? Revisiting “Search Options” 15 Years Later (A Hamsterdam History Lesson) – *Updated
What did looking at Google’s search options unveiled in 2009 at Searchology hint at Google’s future plans? *Updated after I/0 2024.
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SEO Tips for Musicians (Including Bands, Solo Artists, Session Musicians, Studios & Labels), Based on an Audit I Did for a Recording Artist
This guide to SEO for musicians is based on real work I did for an international recording artist. It covers websites, socials, knowledge panels, and more!
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How Large Scale Self-Supervised Pretraining for Active Speaker Detection Works (via Google Research) & Why SEOs Should Care (Maybe)
In this rendition of Hamsterdam Research, we look at a Google Research paper on large scale self-supervised pretraining for active speaker detection (ASD) and its (possible) implications for SEO work and video-based search results.
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Guestbook Links Were Never Credible, but Branding Always Was: A Look Back at 2003 (A Hamsterdam History Lesson)
Website guestbooks helped site owners know their visitors, but SEOs spammed them for backlinks. We look at a 2003 Search Engine Watch article about this.
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Don’t Mention It: Google Discover’s “Mentioned” Feature & Why Affiliate & Product Review Sites Should Care
Google Discover has a “Mentioned” feature with variations that can show products from an affiliate article but lead to Google Shopping results instead.
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How AutoBNN Automates the Discovery of Interpretable Time Series Forecasting Models & Why SEOs Should Care (Maybe)
This is the second Hamsterdam Research article, which covers AutoBNN: Probabilistic time series forecasting with compositional bayesian neural networks.
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What Are Google’s Reliable Information Systems & How Might They Be Used in Discussions and Forums
Let’s take a look at Google’s Discussions and forums and how Reliable information systems may play a role in its visibility for YMYL queries.
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Google’s Search Quality: Blog Scrapers & Content Farms in 2011 vs. AI Spam in 2024
In 2011, Google’s search quality had issues from scraper sites and content farms. Explore parallels with AI spam in 2024 in this Hamsterdam History lesson.
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The Embedding Language Model (ELM) & Why SEOs Should Care (Maybe)
This Hamsterdam Research article looks as ELM from “Demystifying Embedding Spaces using Large Language Models,” a Google Research paper.
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Looking Natural vs. Being Natural: What a Cre8site Discussion on Links from 2005 Can Tell Us About Search Today, A Hamsterdam History Lesson
Learn how a 2005 discussion on links about looking natural versus being natural relates to today’s era of machine learning-driven ranking systems.
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Taking It Personally: Google’s Personalized Search in 2007 vs. 2024
In this first installment of Hamsterdam History, we take a look at two articles about Google’s personalized search results from 2007 for lessons today.
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Why SEOs “Still” Shouldn’t Fixate on Keyword Rankings
Back in February 2011, Rob Chant wrote a blog post about why SEOs shouldn’t fixate on keyword rankings. It’s 2024, and I agree, but for different reasons.
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Excerpts from Google’s Anti-Trust Trial Debrief: As an SEO, Here’s What Stood Out to Me from USA v. Google LLC (Document #833)
In February, Google filed a debrief known as “Document #833” after its anti-trust trial (USA v. Google). As an SEO, here are 55 screenshots of excerpts that stood out to me.
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“No Obvious Keywords”: How to Approach SEO Content Without a Target Query (Self-Assessment Questions)
If you have “no obvious keywords” to target in your SEO content strategy, try asking yourself these self-assessment questions to find a solution.
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10 “Not-So-Obvious” Sources of SEO Content Ideas & Audience Insights (Beyond Keyword Research)
Want to get off the beaten path of SEO content topic ideation? Explore these 10 not-so-obvious sources to find new ideas for audience research.
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The First “E” in E-E-A-T: What “Experience” Means for SEO Content
What does Google Search mean when they refer to “experience” in E-E-A-T? Let’s examine it in the context of creating content for users and SEO goals.
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Is Social Media Content Ranking More In Google Search? And Why The Overlap of Social & SEO Matters
SEO strategists and social media specialists haven’t always worked in tandem, but with more visibility of social content in search results today, they must.