From large language models (LLMs) to AI Overviews in Google, AI is a critical part of digital marketing. We all use AI in some capacity, and its prominence in the world is only growing. One thing is for sure — AI is here to stay.
So how can you start using AI in your work to be more efficient? And how do you know when and why to block AI bots? How reliable are generative AI results? Here we’ve added some of our favorite resources about AI, and you'll find the most recent blog posts below.
Who Should Block AI Bots?
: See what Moz’s Senior Search Scientist, Tom Capper, has to say about who should block AI bots and when.
The Practical Marketer Webinar Series
: Learn how industry professionals are using AI to improve workflows and supplement their existing SEO tools in this webinar series hosted by Chima Mmeje. Each episode covers a different topic with marketers from around the world.
By now, you’ve probably seen dozens of examples of ChatGPT, using the GPT (Generative Pre-training Transformer) deep learning system. The current models are genuinely impressive, so what does all of this have to do with Google Search and our jobs as search marketers?
This post is not about the health of Google search as a product, or about the implications of improving AI products for your SEO strategy right now. (Although, I know of at least one post for this blog being written on that topic!) Instead, this post is about which of these threats, if any, actually stand a chance of unseating Google’s dominance.
Miriam shares insights into times when ChatGPT steered her wrong with misinformed answers to common local SEO questions. In her post, she takes us through her testing process, providing examples and cautionary advice on the future of ChatGPT.
Google algorithm updates seem to come in two main flavors. There are very specific updates, like the Page Experience Update, which tend to be announced well in advance, provide detailed information on how the ranking factor will work, and eventually arrive as a slight anti-climax. This post is about the other flavor: the updates announced when they're happening or have already happened with vague guidance. The kind that can have cataclysmic results for affected sites.
On August 25, 2022, Google started rolling out the Helpful Content Update. Our resident search scientist and MozCast wrangler, Dr. Pete, looks at the results by comparing data two weeks on either side of the latest Google algorithm update.
You may be feeling confused and more than a little frustrated after Google’s recent title rewrite update, but why is Google rewriting titles, and what can we learn from it? Dr. Pete explored over 50,000 <title> tags to find out.
Machine learning might seem far outside the scope of your SEO work. MozCon speaker Britney Muller is back with a special edition of Whiteboard Friday to tell you why that's not true, and to go through a few steps to get you started.
The May 2020 Core Update was the second-hottest update since the August 2018 "Medic" Update. Dr. Pete takes a hard look at the numbers, including why measuring winners and losers is tricky business.
Machine learning is only growing in importance for anyone working in the digital world, but it can often feel like an inaccessible subject. It doesn't have to be — and you don't have to miss out on the competitive edge it can give you when it comes to SEO task automation.
If you've ever been curious about learning machine learning but overwhelmed by the wealth of information out there, you've come to the right post. Alexis Sanders shares her own guide on how to learn machine learning, detailing the pros and cons through the viewpoint of a beginner.