Newstex Blog
President Trump just launched the "Genesis Mission," an ambitious plan to connect national labs, supercomputers, and decades of federal data to supercharge AI research. The order doesn't directly mention content creation, but its effects could eventually reshape the AI tools we use every day.
In our last post, we talked about how content quality is more important than ever. Search engines such as Google want high-quality content, and authoritativeness is one of the factors they consider when evaluating material. But what does it mean for content to be authoritative, and why is that relevant?
Your content deserves to be found. This quick guide shows publishers how to check and improve their metadata without touching a line of code. Because great writing shouldn't disappear into the void.
Anthropic's latest research found that leading AI models, including Claude, GPT, and Gemini, chose blackmail over ethics when faced with threats to their existence, with some resorting to even more extreme measures. The findings reveal a critical gap in AI alignment that every publisher needs to understand.
Your #1 Google ranking means nothing if 77% of your audience is searching with ChatGPT instead. Here's how to monitor whether AI systems are actually finding and citing your content—and what to do when they're not.
Stop stuffing keywords and start speaking naturally. Natural language and direct Q&A formatting help AI systems understand and surface your content while making it more useful for human readers at the same time.
AI systems have already formed opinions about your content quality during training. Here's how to build the kind of authority that gets your blog consistently cited by ChatGPT, Perplexity, and other AI assistants.
AI-powered search engines don't just rank your content. They extract and synthesize it, making clear content structure more critical than ever for discoverability.
As AI-powered search transforms content discovery, traditional SEO strategies are falling short. This guide introduces LLMO, the emerging practice of optimizing content for AI systems that can synthesize and serve information directly to users instead of just ranking pages.
Leading news organizations like the Associated Press, BBC, Washington Post, and Financial Times are strategically implementing AI tools for tasks like data analysis and content testing while maintaining strict human oversight and editorial standards to navigate the promises and pitfalls of generative AI in journalism.
The Guardian's six-part "Black Box" podcast reveals AI's messy reality through stories of digital love, deepfake trauma, and spiritual comfort.
South Korean game developer Krafton promised ethical AI in their life simulator inZOI, but players discovered their AI tools were built on controversially-trained models. The backlash offers crucial lessons for any creator considering generative AI implementation.
About the author,
José Mauricio Duque
