Ingredient-accurate Amazon listing optimization for beauty and cosmetics brands

In beauty, a content failure is usually a data failure with legal consequences. The INCI declaration sits in a JPEG, forty shade children carry no undertone, and one word in a bullet can suppress the ASIN overnight. Autopilot rebuilds the catalog as structured, screened data, published only after your regulatory lead approves it.

Done for you. Starting at $800 per month.

Key Metrics

• 20%+ typical organic sales growth, achieved by 95% of 450+ brands since 2023
• 7,000 title updates published in 24 hours when Amazon changed its title policy
• 133,000 agent hits in 30 days on a single Agentsite across 32 crawlers

What we do

Built for beauty and cosmetics

Two halves of the same catalog: the Amazon listing a shopper sees, and the machine-readable record an assistant reads.

Listing Optimization

Done-for-you optimization across the whole catalog. We build keyword markets from your Search Query Performance data, measure market share bottom-up on unbranded traffic, and publish 2 to 3 updates per ASIN per month. Every batch is screened, approved by your team in review-first mode, then verified at go-live. Alexa GEO optimization is part of the same work, because Amazon's own assistant reads the same fields.

• Full INCI declarations published as structured text, not only as a photograph of the label, so search and Amazon's assistant can actually read them.
• Shade families rebuilt with undertone, depth position, coverage and finish as attributes instead of proprietary shade names alone.
• Compliance screening before publish: drug-claim language, Drug Facts and active ingredient attributes on SPF hybrids, pure white main images at RGB 255,255,255.

Agentsites™

A machine-readable product site on your own domain, built from the same governed data and cited directly by answer engines. When someone asks for a fragrance-free moisturizer for rosacea-prone skin, there is a governed record to answer from rather than a guess. About ten minutes of your time to set up.

• Built for first-party citation in ChatGPT, Gemini, Meta and Claude on ingredient, concentration and skin-concern questions.
• Every constraint an assistant needs to answer: INCI, active percentage, skin type, skin concern, undertone, item form, routine step, certifications.
• Per-crawler agent traffic, so you can see which models read your catalog and which pages they pull.

Three problems every beauty and cosmetics brand fights

None of them are creative problems. All three are data problems that surface as suppressions, thin variations and unanswerable queries.

Your ingredient list is a photograph, not data

You filed a complete ingredient declaration with FDA to satisfy product listing under MoCRA, the Modernization of Cosmetics Regulation Act. Then you satisfied Amazon with a picture of the label, because Amazon's September 24, 2024 cosmetic data mandate accepts an ingredient list as image or text. Search cannot read that picture. Neither can an AI assistant, and neither can any automated screen against the fourteen states that have now enacted bans on intentionally added PFAS in cosmetics, seven of them already in force, Maine and Vermont from January 1, 2026. A nationally listed ASIN can breach those states' restrictions and still run live and Prime-eligible everywhere, because nothing in the catalog knows what is in the bottle.

Forty shades, no structured way to tell them apart

Beauty variation themes commonly include Size, Color, SizeColor, Scent and SizeScent, though the valid set differs by product type and Amazon has retired themes before, and beauty families are unusually large and unusually flat. A single foundation parent can carry forty-plus children separated only by a proprietary shade name, with undertone, depth position, coverage and finish living in prose or nowhere at all.

One word written for social takes the ASIN down

Classification turns on intended use, not formulation. Under 21 U.S.C. 321(g)(1)(C) an article, other than food, intended to affect the structure or any function of the body is a drug, and FDA has published no monograph for anti-wrinkle products, so a genuine structure or function anti-aging claim can make the product an unapproved new drug. Amazon does not weigh intent. It pattern-matches strings in titles, bullets, description and A+ content and can suppress on detection.

Questions we hear from brands like yours

Who owns the claims, you or our regulatory team?

Your team, always. Autopilot works inside the claim language your regulatory lead has already approved, and nothing goes live without sign-off: we prepare the batch, you approve it in review-first mode, we publish and verify at go-live.

Our INCI panels only exist as label images. How do you turn that into structured data without burning our team?

We assemble brand context from what you already have: pack artwork, spec sheets, your own DTC product pages, and your FDA product listing if you choose to share it. We draft the declaration as text in the order 21 CFR 701.3 permits.

Does structured data actually change what AI assistants say about our products?

Beauty queries are constraint queries: fragrance-free for rosacea-prone skin, mineral SPF for a toddler, a neutral undertone in a deep shade. Every one resolves against ingredients, concentration, skin type and certification, and none of that can be read out of a photograph of a label. A recent cohort of 15 brands grew AI citations by 48% in four weeks.

Find out what your ingredient data is costing you

Autopilot is an Amazon listing optimization and AI discovery service. Since 2023 it has published more than 2 million listing updates for 450+ brands. The free audit reads your beauty catalog the way Amazon and an AI assistant read it.