Case study · AI visibility snapshot · September 2026
Florasis is a makeup brand founded in Hangzhou in 2017, known for its carved, craft-led packaging. It sells internationally through its own site and marketplaces from Amazon to TikTok Shop. We measured what seven AI answer engines tell an English-speaking shopper about premium makeup, and whether Florasis is part of the answer.
Eight of the questions didn’t mention Florasis: the best premium brands, a gift, a wedding look, long wear, the most trusted names. None of the seven engines named Florasis in any of the 56 answers, and no Chinese beauty brand appeared at all. The shortlist was Western, led by Charlotte Tilbury, Dior and Chanel. The Asian brand the engines reached for was Clé de Peau Beauté.
Asked about Florasis directly, all seven engines recognised it and called it a legitimate brand. They described it the same way: premium or accessible luxury, with its packaging as the reason to buy. Asked to compare it with Charlotte Tilbury, three engines picked Charlotte Tilbury overall and none picked Florasis.
Perplexity cited two lookalike sites that present themselves as Florasis but aren’t on its official list of sales channels. It cited them alongside florasis.com, including in its answer to whether Florasis is legitimate. ChatGPT cited neither.
florasis.com lets AI crawlers in. But its structured data doesn’t connect the English and Chinese names, and its llms.txt describes checkout rather than the brand. Those are the signals an engine uses to know that Florasis and 花西子 are one company.
This section is interpretation; everything above is measurement.
Florasis’s gap isn’t recognition, because every engine knows the brand. The gap is being part of the answer before a shopper already has the name in mind. That is where a new customer is won, and it can now be measured, engine by engine, and re-measured after each fix.
One run of 84 answers on 24 September 2026, with English-language questions only. The engines were queried through their APIs, which can behave differently from their consumer apps. AI answers vary from run to run, so these figures are a baseline, not a trend. Presence in AI answers is not sales, and we make no revenue claim here. Scoring vocabulary is published at /methodology.
We run the same measurement for any brand, on Western and Chinese engines side by side, and every answer is kept verbatim.
Talk to us