In today’s episode, Mary asks how SEO pros can stay ahead in an AI world. I explain using AI to improve your skills, then combining your strengths with AI to boost results. Critiquing content with AI reveals blind spots and creates superior outputs. Tune in to learn how partnering with AI can dramatically increase the…
In today’s episode, Thomas asks if Google will check for AI-generated content. I explain Google wants happy users, so they’ll likely focus on content quality, not authorship. Satisfying users is key, so don’t worry if content is AI or human—make it good. Tune in to learn why Google cares about content quality, not creation method.…
In today’s episode, Al asks if AI will flood search with repetitive content, requiring paid ads for visibility. I explain how generic prompts produce generic content, but specific prompts enable unique content. However, even in a sea of sameness, distinctly valuable content will stand out organically. So create content people genuinely want, and you won’t…
In today’s episode, I share my key lessons and strategies for b2b influencer marketing success. I walk through the Trust Insights 5P framework to help brands excel in this space. I explain how to define your purpose, choose the right people, nail down the process, select the best platform, and accurately measure performance. Tune in…
In today’s episode, I explain how AI will enable synthetic influencers and better influence identification. Large language models can ingest vast information to surface relevant influencers. Brands should partner with AI firms to build custom models filtering by niche and demographics. Tune in to hear my predictions on AI’s transformative role in influencer marketing. Can’t…
In today’s episode, I explain how the demise of Twitter has created major challenges for measuring influence. With key conversations happening across new, disparate platforms lacking data access, brands must get creative. I advise asking your audience who influences them and embracing community-level influence in addition to individual influencers. Tune in to hear my predictions…
In today’s episode, I tackle the big question of mitigating bias in AI. I explain the differences between statistical bias and human bias, and equality of outcome versus opportunity. There are no easy answers, but understanding these concepts is key to documenting and implementing fairness policies for your models. Tune in for an in-depth look…
In today’s episode, I answer the question, “What is the difference between great data and good data or great data and data?” I explain how data is like the ingredients for cooking. Good data enables quality results, but bad data ruins everything. To find out more about the key role data quality plays in AI,…
In today’s episode, I explain the three main types of machine learning – regression, classification, and generation. I provide examples of how each one works and how they can be applied by businesses like printers. There’s a ton of valuable info here, so be sure to watch to learn how to leverage AI and ML…
In today’s episode, I share the top questions marketers should ask AI vendors to avoid getting duped. I explain what to look for in their architecture and abstraction capabilities. Asking the right technical questions helps reveal who’s the real deal. Tune in to get my insider tips on vetting vendors to make informed AI purchasing…
