Shade & finish data
AI agents need structured shade-range and finish-type data to answer "does this come in cool undertones?" or "is this a matte or dewy formula?" Unstructured shade grids are invisible to AI.
When a shopper asks Perplexity "best foundation for oily skin," your brand either shows up or it doesn't. Find out exactly where you stand with a free AI visibility score.
Beauty and cosmetics is one of the most AI-queried shopping categories on the planet. Millions of consumers turn to ChatGPT, Perplexity, and Gemini every day asking "what's a good cruelty-free mascara," "best drugstore concealer for dark circles," or "which setting spray lasts longest." The AI tool pulls its recommendation from brands whose product pages are structured for machine readability — shade ranges, finish types, skin-tone compatibility, and ingredient transparency all need to live in crawlable, schema-marked content. Most Shopify beauty brands invest heavily in photography and copy but leave their product data unstructured: no Product JSON-LD, vague benefit claims buried in lifestyle language, and AI crawlers blocked in robots.txt. The result is that AI recommendation engines simply cannot surface your catalog in the answers your potential customers are already reading. This free check audits every AI-visibility signal on your beauty storefront and returns a prioritized list of exactly what to fix to start appearing in AI shopping recommendations.
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These signals separate the brands AI cites from those it ignores.
AI agents need structured shade-range and finish-type data to answer "does this come in cool undertones?" or "is this a matte or dewy formula?" Unstructured shade grids are invisible to AI.
Product descriptions must explicitly state compatibility with oily, dry, combination, or sensitive skin to match AI query intent. Generic "flawless look" copy doesn't surface in targeted beauty searches.
Cruelty-free, vegan, and clean-beauty claims boost AI recommendation confidence — but only when they appear in structured, crawlable text rather than banner images or PDFs.
Shoppers constantly ask AI tools "best foundation for oily skin" or "long-lasting lipstick that won't feather." If your cosmetics brand's product pages don't answer those questions with structured, machine-readable content, AI recommendation engines skip your catalog entirely.
We audit whether your product pages include Product JSON-LD schema with shade ranges, finish types, and skin-type suitability; whether your descriptions explicitly answer common beauty queries; how accessible your catalog is to AI crawlers; and whether your brand authority signals are readable in structured content.
Key improvements include: adding Product JSON-LD with shade, finish, and skin-type attributes; writing descriptions that directly answer skin-type compatibility questions; adding per-product FAQs; creating a llms.txt that summarizes your brand; and unblocking AI crawlers in robots.txt.
Yes, completely free. Paste your beauty store URL and get a 0–100 score plus ranked fixes in about a minute. No account or credit card needed.