Are you using AI to write your emails, essays, or reports? You might be losing your own voice and changing your actual opinions without even realising it.

In this podcast from The SEO Works we look at a research paper from Google DeepMind and several universities that investigates how Large Language Models aren't just fixing our grammar, they are fundamentally distorting our intended meaning.

Through a combination of controlled human studies and large-scale data analysis, the study found that LLM assistance leads to "linguistic homogenization". The study revealed that even when tasked with minor edits, AI models consistently introduced semantic distortions and replaced individual voices with formal, analytical, and emotional language.

Is the convenience of an AI writing assistant costing us our creativity and personal convictions? We explore the study and the key points that it suggested.

Is AI actually coming for your job, or are the headlines getting ahead of the data? In this episode from The SEO Works, we dive into a groundbreaking 2026 report by Anthropic to separate fact from fiction.

We break down their new metric, "observed exposure," which shifts the focus from what AI could theoretically do to what it is actually automating in the workplace today. We uncover why real world AI adoption is currently a fraction of its theoretical potential and reveal the most heavily exposed professions right now.

Most importantly, we answer the biggest question on everyone's mind: is AI causing mass layoffs? Join us for a data-driven look at the future of work!

Large Language Models including ChatGPT and Gemini (and even AI Overvies) pull answers from across the web, write their own summaries, and answer questions directly. So where does that leave content creators?

In this episode from The SEO Works, we’re looking at a paper from researchers at Princeton, Georgia Tech, and the Allen Institute called Generative Engine Optimization. It is an academic study that explored how content gets picked up and shown in AI generated answers. Here is the paper: https://arxiv.org/pdf/2311.09735

They tested different ways of writing and structuring content to see what actually makes it more visible AI driven engines. Some of the findings are what you might expect. Others are surprising. But all of it points to a shift that marketers and content teams can’t afford to ignore.

SEO is not dead at all. But if you want your content to be picked up by generative engines, you may need to also look at things through a slightly different lens. Let's see what this academic study uncovered and how we might apply this in our own content strategies.