The Great Blogging Collapse, AI Visibility, and the Future of Organic Traffic

Interview on Champions of Performance Marketing, hosted by Julia Draghici (powered by CPV One), August 20, 2026

I sat down with Julia Draghici on Champions of Performance Marketing to talk about the research behind The Great Blogging Collapse, how AI search decides who gets recommended, and what affiliate marketers and content businesses should do now that organic traffic is no longer a safe bet.

If your business depends on Google, this conversation is about you.

The numbers behind the collapse

I tracked 100 once-successful blogs from 2022 to 2026. The results:

  • The median blog lost 85% of its organic traffic
  • 75% of blogs lost 75% or more of their visitors
  • Only 21% are still growing

Some niches held up well: parenting (+108%), DIY and crafts, food and recipes, and travel. Others were almost wiped out. Finance, blogging income, and make-money tutorials lost 90%-99% of their organic traffic.

→ Read the full Great Blogging Collapse study

What we covered in the podcast

  • Why some blogs survived: the four factors the 21% of growing blogs have in common.
  • What AI recommends and what it ignores: why generic content is now effectively invisible
  • How AI search differs from traditional SEO: context and buyer persona matter more than keywords, which is why the same prompt gives different answers to different users
  • How to check your AI visibility today: using Ahrefs, Semrush, Google Search Console, and Bing
  • Reviews and AI: why freshness matters, and why reviews older than 6–12 months carry little weight
  • The biggest mistake businesses make when trying to improve AI visibility
  • The risk of being 100% organic: how to diversify your traffic mix, and where paid traffic fits alongside SEO
  • Tracking everything: why multi-channel tracking matters more than ever, and how AI can analyze campaign data if you give it the right inputs
  • Advice for new affiliate marketers and the trust problem the industry needs to solve
“Track as much as possible. What worked six months ago may not work today.”

You may watch the video here or check the 2 articles created by Julia on her blog: