"Name slop" warns that AI spits out polished but interchangeable names—repeating familiar patterns and suffixes—which hurts memorability, trust, and raises legal/rebrand risk. People buy meaning, not words; great names must be defensible, pronounceable, discoverable, and able to carry a story. Use AI for ideas and speed, but let humans apply trademark checks, phonetic tests, category clarity, and narrative judgment before choosing.
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"Name slop" warns that AI spits out polished but interchangeable names—repeating familiar patterns and suffixes—which hurts memorability, trust, and raises legal/rebrand risk. People buy meaning, not words; great names must be defensible, pronounceable, discoverable, and able to carry a story. Use AI for ideas and speed, but let humans apply trademark checks, phonetic tests, category clarity, and narrative judgment before choosing.
In this episode of Naming in the AI Age, Ashley Elliott explains how to read a USPTO trademark record using Nike as an example. She clarifies that multiple “Nike” entries represent different filings for various product classes, like clothing, footwear, and digital goods. Each record lists the mark, status, goods and services, owner, and registration details. Clicking into a record reveals more specifics—filing and registration dates, serial numbers, and the goods and services description that...
Naming in an AI Age
"Name slop" warns that AI spits out polished but interchangeable names—repeating familiar patterns and suffixes—which hurts memorability, trust, and raises legal/rebrand risk. People buy meaning, not words; great names must be defensible, pronounceable, discoverable, and able to carry a story. Use AI for ideas and speed, but let humans apply trademark checks, phonetic tests, category clarity, and narrative judgment before choosing.
