Get your products described accurately by AI assistants

What you’re looking for when you search “AI visibility for beauty brands”

You run a skincare, makeup or cosmetics brand and your buyers now ask AI assistants before they buy: “fragrance-free moisturizer for sensitive skin”, “is this brand cruelty-free?”, “vegan mascara that doesn’t smudge”. The answer names a handful of brands and repeats what it has read about ingredients and testing. You want to know if your brand is named, whether those details are right, and how to correct them at the source. Behind that search sit four questions:

• Is my brand named when buyers ask AI assistants for products like mine?
• Do the answers get my ingredients, shades and vegan or cruelty-free status right?
• Which beauty brands and retailers are named instead, and which sources do the answers use?
• What should I change on my product and ingredient pages so assistants describe them correctly?

What Rankfender does for beauty brands

Rankfender runs the beauty questions your buyers type through 8 AI assistants (ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Grok, Llama and Mistral) and keeps the replies word for word. You see if your brand is named, in what position and tone, which brands come before you and which retailer pages, blogs or lists each answer relied on. The audit checks that ingredient and product pages are open to AI crawlers and well structured. Rankfender makes no claims about what your products do: that wording stays yours.

• Every answer in full, so you can spot a wrong ingredient, an old formula or a testing claim you never made
• The brands named before yours, ranked by share of voice, per assistant and per product type
• An audit of product and ingredient pages: AI-crawler access, llms.txt, headings and Product schema
• Routine guides and ingredient glossaries drafted with a Sources list, ready for WordPress or a webhook