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AI-generated naming: 9 out of 12 names already registered or at risk

Original title, in French: “Naming par IA : 9 noms sur 12 déjà déposés ou à risque”

Publication
Journal du Net (France)
Author
Florian Bourgeois
Published on
5 October 2026 · read in the page structured data

Summary

A consultant tested four AI assistants (ChatGPT, Gemini, Mistral, Claude) on a real naming brief for an online shop selling premium cat accessories, obtaining 160 name suggestions. Of 12 names checked in the TMview trade mark database, 9 are already registered or present a risk of conflict. Despite an instruction to avoid clichés and a follow-up prompt, the tools keep producing names built on expected vocabulary (fel-, cat, chat, paw…) or on similar suffixes (-ora, -elle). The author points out that no tool makes a genuine strategic choice and that ChatGPT wrongly claimed to have checked a trade mark's availability. The conclusion recommends using AI to explore options, not to choose a trade mark name or check it legally.

Summary based on the full text of the article.

Read the article on Journal du Net →

Figures cited

  • 9 names out of 12

    Tested names already registered or presenting a risk of similarity with an existing trade mark

    12 names from 4 AI assistants, checked in TMview (France/EU), October 2026

    « Résultat du test : 9 noms sur 12 déjà déposés ou à risque »
  • 160 names

    Total number of names generated by the four AI assistants tested

    4 AI assistants (ChatGPT, Gemini, Mistral, Claude), 20 names each, with follow-up prompt

    « J'ai soumis le brief réel d'une boutique en ligne à quatre assistants IA, soit 160 noms au total. »
  • 67 names out of 80

    First-round names containing the expected cat-related vocabulary despite the anti-cliché instruction

    80 first-round names (4 assistants x 20 names)

    « Pourtant, 67 noms sur 80 au premier tour contiennent le vocabulaire attendu du chat : fel-, cat, chat, purr, paw, mew, neko, minou. »
  • 45 names out of 80

    Names containing the expected cat-related vocabulary after the anti-cliché follow-up

    80 second-round names, after follow-up

    « La proportion tombe à 45 sur 80, mais pas partout »
  • 19 names out of 20

    Gemini names built on cat vocabulary after the follow-up (increase despite the announced correction)

    Gemini list, second round

    « Gemini, après avoir admis ses répétitions, passe de 17 à 19 noms sur 20 construits sur le lexique du chat. »
  • 41 names out of 80

    Second-round names ending in a suffix such as -a, -ora, -ia or -elle

    80 second-round names

    « 41 noms du second tour se terminent en -a, -ora, -ia ou -elle (Luxora, Veloria, Norelle, Velissia). »

Classification

Country
France
Company size
All sizes
Industries
Consulting, legal, accounting, business services · Media, communications, marketing
Companies
Anthropic (Claude) (supplier), OpenAI (ChatGPT) (supplier), Google (Gemini) (supplier), Mistral AI (supplier)
Keywords
naming, name generation, industrial property, trade mark registration, chatbots, branding

Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to Journal du Net and its author. Entry translated from French by Claude Sonnet 5.5.