Title
The Lisa Latte Effect: When AI Fluency Gets Mistaken for Understanding
Show notes
AI can give you a polished answer, a convincing explanation, or work that looks like expertise. But using an answer is not the same as understanding it.
In this episode, Jason T Wade introduces the Lisa Latte Effect: the gap between accessing knowledge through AI and actually possessing that knowledge. He connects the idea to the confidence people can feel when they know too little to spot what’s wrong, and shares how relying on AI for complex legal work taught him to look harder for errors and limits.
The test is simple: Can you explain the answer, check its reasoning, and recognize when it may be wrong? If not, the fluency may belong to the AI—not to you.
Bio
Jason T Wade is the founder of BackTier and an AI Visibility Architect helping companies become discoverable, correctly understood, cited, included, and recommended across AI systems including ChatGPT, Gemini, Perplexity, Claude, Grok, and Google AI. He specializes in AI SEO, Generative Engine Optimization (GEO), Answer Engine Optimization (AEO), entity architecture, structured data, citation infrastructure, and the technical signals that influence how AI systems classify and recommend brands. Through BackTier, Jason builds AI Visibility systems designed around the full recommendation path: Citation → Inclusion → Selection. The work goes beyond traditional SEO. The objective is to reduce ambiguity, strengthen entity authority, improve machine understanding, and create the evidence infrastructure AI systems need to confidently surface a company, product, or expert in generated answers. BackTier — Host, AI Visibility Podcast — AI Visibility · GEO · AEO · AI SEO — BackTier.com · JasonWade.com.
Links
BackTier.com · JasonWade.com
