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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