Product vertical A customer searches "foundation for deep skin tones warm undertone". She isn't browsing — she's solving a problem generalist brands ignored for twenty years. You formulated for her from day one — and yet it's a high-street retailer that shows up first.
You have the credibility and the most complete shade range for Black and melanin-rich skin. But on Google, it's someone else's inventory answering the demand you helped create. This isn't an awareness problem. It's a capture problem.
The customer isn't searching "foundation". She's searching a shade, an undertone, a promise of wear on HER skin. That precision multiplies the queries:
"Concealer for hyperpigmented ebony skin": queries with maximum purchase intent, and there are many of them. This is your natural home turf.
If a retailer resells your products and outranks your own store, you're handing them your own branded sales. How to reclaim it.
"Foundation for Black skin", "shade for medium-brown skin", "concealer for deep skin tones": these queries should lead to your shade range, not a generalist's.
"Which foundation for a warm-undertone medium-brown skin that won't oxidise?" is exactly the kind of question people ask an AI. Become citable.
Product pages. A foundation has 20, 30, 40 shades. Each variant deserves to be findable: shade name, matching skin tone, undertone, equivalences. A page that answers "is this shade right for MY skin?" converts.
Category pages. "Foundations for Black skin", "concealers for deep skin tones": your most powerful pages, and often the most content-empty.
Match and advice content. "How to find your shade" guides, explained shade charts, undertone comparisons. This reassures before the purchase AND makes you citable by AI.
Three compounding losses: margin (wholesale price instead of retail), the customer (no email, no repeat purchase — and makeup is a repeat-buy category), the brand (a third party decides the price shown, including out-of-stock shades it keeps listing). The exact figure — the Diagnostic measures it for YOUR range; the calculator gives a first order of magnitude.
The what and the how-much, I show you. The how — which product and category pages to optimise, and in what order — that's the work of the engagement.
Precisely because of that. Your reputation creates the demand; SEO decides who banks it. If a retailer resells your shades and dominates your queries, you're funding their growth with your positioning.
The mechanics are standard, the terrain isn't: queries by skin tone and undertone, a strong "match" stake, competition from retailers with powerful domains, and an advice need that AI captures.
It comes down to how product pages and variants are structured, match content, and internal linking. The Diagnostic identifies which shades are slipping away and why.
That's GEO: a brand clearly tied to its shade-matching expertise, citable content, structured presence. The Diagnostic checks whether you're cited today.
Reclaiming your branded SERP is faster than winning "foundation for Black skin". The Diagnostic puts the quick wins first.
I quantify the revenue retailers capture in your place across makeup and skincare for Black and deep skin tones, and I map the prioritised plan. €290 (~$310), credited toward your first month if you continue.
