Why Every AI-Designed UI Looks the Same (Code Hides, UI Cannot)
Your product delivered. v0 generated the UI. Then every product launched the same week looks like yours. Code can hide AI convergence. UI/UX cannot. The fix is the design workflow.
You added the schema plugin and the llms.txt file and still are not cited. The parts were not the problem. A framework built only to rank cannot be read by a machine.
A GEO Workflow
Your buyer no longer scans 10 blue links. They read one AI answer that names about 5 sources. SEO (Search Engine Optimization) gets you ranked. GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) decide if you are one of the 5.
Anyone can now build a CRM, a SaaS, an MVP with AI in a weekend. 99% will still fail. The tools just got democratic. Domain expertise is where the moat moved.
Your product delivered. v0 generated the UI. Then every product launched the same week looks like yours. Code can hide AI convergence. UI/UX cannot. The fix is the design workflow.
Your real estate MVP launched fast. It also delivered into a market where every competitor MVP looks like yours. Common AI made you productive. Custom workflows make you different.
Your CMO opens 2 proposals: yours and a competitor's. Which is ours? Nobody can tell. This article is about that question and the matrix that answers it.
Imagine your AI review in 2027. The productivity charts are gone. Uniqueness scores replace them. The 18 months between now and 2027 is the build window.
Ask common AI for a hero image. Your competitor gets the same one back. The fix is not a better prompt. It is custom workflows wrapping common AI in your data and voice.
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