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AI visibility tools are everywhere and they’re making big promises. But how much of what they’re selling is actually useful, and how much is just dressed-up guesswork? And is guesswork always bad?
In this episode, we break down the most common AI visibility metrics, what they really measure, and how marketers should (and shouldn’t) use them.
🎯 What You’ll Learn
🔍 Key Topics Covered
AI Visibility Score: Insight or Illusion?
AI visibility scores are built on prompt testing, not actual model data. That makes them directional—not definitive. Useful for trends, risky as a KPI.
AI Share of Voice (SoV)
A helpful comparative metric, but still based on sampled prompts. Without context (like accuracy or sentiment), the number alone doesn’t tell the full story.
Citation Count vs. Citation Rate
Being mentioned isn’t the same as being cited. If AI isn’t linking to you, it may not see your content as a trusted source.
Brand Sentiment in AI
Most AI systems default to neutral or softened language, making sentiment less actionable than it sounds.
⚠️ The Big Takeaway
🧠 Practical Advice
🛠️ And introducing.....
GeekyIQ: Geeky Tech's new AI Brand Intelligence Platform
Start your free trial: https://geekyiq.com
💬 Join the Conversation
We’ve officially entered our video podcast era 👀
Do you prefer watching or listening? Let us know.
Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @GeekyTechGeeks for all things SEO/GEO, and advertising related—and while you're at it, why not subscribe, like, and follow us on Apple Podcasts, Spotify, Stitcher, or wherever you listen to your favourite shows.
We are now on YouTube! https://www.youtube.com/@geekytechgeeks
For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech
Have any questions you want answered on the show? Email us at [email protected].
Thanks for listening 🤓
By Geeky TechAI visibility tools are everywhere and they’re making big promises. But how much of what they’re selling is actually useful, and how much is just dressed-up guesswork? And is guesswork always bad?
In this episode, we break down the most common AI visibility metrics, what they really measure, and how marketers should (and shouldn’t) use them.
🎯 What You’ll Learn
🔍 Key Topics Covered
AI Visibility Score: Insight or Illusion?
AI visibility scores are built on prompt testing, not actual model data. That makes them directional—not definitive. Useful for trends, risky as a KPI.
AI Share of Voice (SoV)
A helpful comparative metric, but still based on sampled prompts. Without context (like accuracy or sentiment), the number alone doesn’t tell the full story.
Citation Count vs. Citation Rate
Being mentioned isn’t the same as being cited. If AI isn’t linking to you, it may not see your content as a trusted source.
Brand Sentiment in AI
Most AI systems default to neutral or softened language, making sentiment less actionable than it sounds.
⚠️ The Big Takeaway
🧠 Practical Advice
🛠️ And introducing.....
GeekyIQ: Geeky Tech's new AI Brand Intelligence Platform
Start your free trial: https://geekyiq.com
💬 Join the Conversation
We’ve officially entered our video podcast era 👀
Do you prefer watching or listening? Let us know.
Get more SEO Unfiltered! Follow us on Facebook, Instagram, and X @GeekyTechGeeks for all things SEO/GEO, and advertising related—and while you're at it, why not subscribe, like, and follow us on Apple Podcasts, Spotify, Stitcher, or wherever you listen to your favourite shows.
We are now on YouTube! https://www.youtube.com/@geekytechgeeks
For more digital marketing insights, connect with us on LinkedIn: https://uk.linkedin.com/company/geeky-tech
Have any questions you want answered on the show? Email us at [email protected].
Thanks for listening 🤓