Your AI Visibility Numbers Are Probably Wrong copertina

Your AI Visibility Numbers Are Probably Wrong

Your AI Visibility Numbers Are Probably Wrong

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Welcome to Episode 62 of The GEO Show, the daily podcast on Generative Engine Optimization: how brands earn visibility, mentions and citations inside AI answers.

In a new two-host format, Paris Childress, founder of Hop AI and co-founder of GEOforge, is joined by Simon Yong of Question.Marketing to debate the themes that keep coming up in GEO, starting with a big one: are your AI visibility numbers even reliable?

In this episode:

  • 📊 Is AI visibility measurement flawed?
    Most tools Paris saw at brightonSEO run one prompt check per day. LLMs are probabilistic, so a reliable share of voice needs deep sampling and a confidence interval.
  • 🎯 Citations vs recommendations
    There's an infinite long tail of prompts, and being cited isn't the same as being recommended, or chosen. Plus: ChatGPT links losing their referral data.
  • 🛡️ AI reputation management
    When AI repeats negative PR, it's harder to untrain than burying a bad Google result. Now is the window to shape how AI understands your brand.
  • 🙋 The simplest attribution method
    Ask every new customer how they heard about you, and list ChatGPT, Gemini, Claude and Google AI Overviews as separate options.
  • 🤖 Will AI agents make GEO obsolete?
    Personal agents, brand sales agents invited into conversations, and what ChatGPT Ads could become.

Guest: Simon Yong, Question.Marketing (https://question.marketing)

Subscribe to The GEO Show on Apple Podcasts, Spotify or YouTube for a new episode every day.

💬 Question: How does your team measure AI visibility today?

Watch on YouTube: https://youtu.be/cXYKw_XCCx0

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