How Google Uses Click-Through Rate as a Ranking Signal

What this episode covers

Episode 52 of The SEO Podcast digs into a controversial ranking factor: click-through rate from search results. Lucas and Luna explore Google's 2023 patent on user interaction signals, the difference between branded and non-branded CTR, and why a high CTR might actually hurt you if it triggers a 'false positive' penalty. They dissect a case study from a mid-size e-commerce site that saw a 40% organic traffic drop after an aggressive title-tag rewrite campaign, and how they recovered by focusing on search intent over clickbait. Also: why Google's AI systems now model 'expected CTR' per position, and how to optimize without gaming the system. A must-listen for marketers who want to understand the line between SEO and spam. #ClickThroughRate #RankingSignal #GoogleAlgorithm #SearchEngineOptimization #SEOPodcast #GoogleRankings #OrganicTraffic #SearchIntent #TitleTagOptimization #UserEngagement #GooglePatent #Marketing #DigitalMarketing #SEOTips #ContentStrategy #FexingoBusiness #BusinessPodcast #MarketingPodcast Keep every episode free: buymeacoffee.com/fexingo

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Frequently Asked Questions

How long is this episode of The SEO Podcast with Fexingo: Search Engine Optimization, Google Rankings, and Organic Traffic?

This episode is 9 minutes long.

When was this The SEO Podcast with Fexingo: Search Engine Optimization, Google Rankings, and Organic Traffic episode published?

This episode was published on June 14, 2026.

What is this episode about?

Episode 52 of The SEO Podcast digs into a controversial ranking factor: click-through rate from search results. Lucas and Luna explore Google's 2023 patent on user interaction signals, the difference between branded and non-branded CTR, and why a...

Can I download this The SEO Podcast with Fexingo: Search Engine Optimization, Google Rankings, and Organic Traffic episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.