How a solo or small-team blogger turns expertise into content that performs across Google, AI Overviews, newsletters and brand partnerships without becoming generic AI output. This session gives independent creators a practical survival map: choose topics machines can cite but audiences still crave, turn lived experience into E-E-A-T, and decide when to allow, block or optimise for AI extraction. At the end of this session you will understand how AI systems interpret authority, clarity, experience, and trust—and how you can compete without large marketing budgets. Judith cuts through hype with SEO, AI and creator-economy pragmatism, including explanations on how the technology works. Attendees can expect to learn: How to make content citeable by AI systems and Google. How to avoid AI slop signals. How to measure success beyond pageviews. How to stay discoverable, useful and paid when platforms increasingly answer, recommend and remix before anyone reaches a site. And most importantly how to future-proof content for evolving AI systems. Plus this session will include what methods stop (as much as possible) content from being included in LLMs.
How a solo or small-team blogger turns expertise into content that performs across Google, AI Overviews, newsletters and brand partnerships without becoming generic AI output. This session gives independent creators a practical survival map: choose topics machines can cite but audiences still crave, turn lived experience into E-E-A-T, and decide when to allow, block or optimise for AI extraction. At the end of this session you will understand how AI systems interpret authority, clarity, experience, and trust—and how you can compete without large marketing budgets. Judith cuts through hype with SEO, AI and creator-economy pragmatism, including explanations on how the technology works. Attendees can expect to learn: How to make content citeable by AI systems and Google. How to avoid AI slop signals. How to measure success beyond pageviews. How to stay discoverable, useful and paid when platforms increasingly answer, recommend and remix before anyone reaches a site. And most importantly how to future-proof content for evolving AI systems. Plus this session will include what methods stop (as much as possible) content from being included in LLMs.