The Efficiently Different and AI Mentions Are Not Equal Episode

This week, Cathy McKnight, Chief Problem Solver at Seventh Bear, returns for her regular visit to discuss how being efficient doesn’t make you different, and her colleague Robert Rose joins Ian in the bar to share that not all AI mentions are equal.

Cathy and Ian discuss a recent article of hers from her Bear Essentials series - Efficient Isn't the Same as Different.

Key points from this chat:

• If the volume is going up but the impact is going down, then you know what's happening in the middle is what's messing things up.
• AI doesn’t have a voice; it is an average, and you don't want to be average, you want to stand out.
• Where AI should play a role in content publication, the human leads at the beginning and applies taste at the end. 
• When it comes to content quality, AI raises the floor. It doesn't raise the ceiling.
• Look at where it's breaking, and then use and leverage technology, AI included, to start filling some of the automation gaps where it makes sense.
• Some practical advice on what marketers should do on Monday.

Then Ian moves to our virtual bar, The Rose and Rockstar, and joins Robert Rose, Chief Trouble Maker at Seventh Bear, to discuss the difference between AI mentions and AI citations and that maybe we shouldn’t be quite so eager to see big vanity numbers in our AI monitoring tools. 

Enjoy!

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The Links

The people:

• Ian Truscott on LinkedIn 
• Cathy McKnight on LinkedIn
• Robert Rose on LinkedIn

Mentioned this week:

• Bear Essentials: Efficient Isn't the Same as Different
• Your Brand May Be Mentioned in AI Answers, But Is It Cited?
• Robert’s newsletter: Lens, his websites, robertrose.net and seventhbear.com

Rockstar CMO:

• The Beat Newsletter that we send every Monday
• Rockstar CMO on the web and LinkedIn
• Previous episodes and all the show notes: Rockstar CMO FM.

Track List:

• We’ll be right back by Stienski & Mass Media on YouTube
• Piano Music is by Johnny Easton, shared under a Creative Commons license

You can listen to this on all good podcast platforms, like Apple, Amazon, and Spotify.

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