D2C beauty and personal care brand

FAQ schema and rebuilt collection pages more than doubled a personal care brand's non-branded revenue

An Indian D2C beauty and personal care brand grew organic revenue 67% and non-branded revenue 112% year over year, and grew AI-referred sessions 11.3x, by fixing URL fragmentation, rebuilding collection pages and deploying FAQ and product schema.

Published October 2026 · Results for Year over year, over a 12-month engagement

Services: SEO, GEO, Technical SEO, Content
Worked with: Managed Service
Region: India
Catalog: A few hundred SKUs
Revenue band: Eight figures (USD)

The results

Non-branded revenue: +112%; Year over year. New customers finding products by need, not by brand name.
Organic search revenue: +67%; Year over year, without a matching rise in traffic.
AI-referred sessions: 11.3x; 655 to 7,388 sessions.
Shopping channel revenue: +450%; Year over year.

Revenue after page-level changes

Page	Change	After
Body wash product	+476% revenue	Meta rewrite and schema
Exfoliation and tan removal collection	+224% revenue	Content rebuild
Hair growth serum	+202% revenue	FAQ schema
Brightening soap	+197% revenue	FAQ schema
Body scrub	+65% revenue	FAQ schema
Body wash collection	Revenue decline reversed	FAQ schema

Month over month.

Visibility

Metric	Change	Basis
Keywords ranked	+113%, to 28,840	In one month
Blog impressions	+195%	Year over year
Blog clicks	+55%	Year over year

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About the client

A direct-to-consumer beauty and personal care brand with a few hundred SKUs across skincare, haircare, body care and fragrance, and eight-figure annual revenue. It sells through its own site, the major Indian marketplaces and offline retail, and ships internationally.

The category is crowded and high-intent, and shoppers rarely search by brand name at the discovery stage. Winning queries like "best body scrub", "tan removal body wash" and "hair serum", on Google and in AI answers, is how the brand finds new customers. Search, traditional and generative, is its most important growth channel.

The challenge

Discovery wasn't converting

Collection and product pages were built for browsing, not deciding. High-intent visitors landing on body scrub, body wash and hair serum pages got no guidance toward a purchase, so revenue leaked even as impressions grew.

Nothing for AI engines to read

As ChatGPT, Perplexity and Google AI Overviews shaped purchase decisions, the brand had no schema, no FAQ coverage and no structured product data for them to use. AI-referred revenue at the start was close to zero.

Non-branded demand was under-monetized

Non-branded revenue, the clearest signal of new-customer acquisition, was growing far more slowly than branded revenue. The brand kept existing customers well but missed buyers searching by ingredient, benefit or category.

What we did

One program for SEO and GEO, aimed at a single goal: earn more revenue from the search demand the brand already had. Every content and technical change served Google rankings and AI visibility at the same time.

Consolidate fragmented URLs
Lost keyword coverage recovered
A technical audit found fragmented URLs and duplicate collection pages splitting ranking authority. 301 redirects consolidated them, tracking-only collection pages were de-indexed to protect crawl budget, and canonical tags were corrected on fragrance and lotion category pages.
Rebuild collections for decisions
Exfoliation collection +224% revenue
Body wash, body scrub, body lotion and exfoliation collections were restructured around commercial intent, with ingredient-benefit language and buyer guidance. Pages that worked as product lists now help a shopper choose.
Deploy FAQ and product schema
Body wash revenue +476% in a month
FAQ schema went onto product pages, targeting People Also Ask slots for ingredient, use-case and benefit questions. Product and AggregateRating schema targeted rich results and made product data machine-readable for AI recommendations. This was the highest-return lever of the program.
Map new clusters to new pages
Keywords ranked more than doubled
Keyword coverage expanded around ingredients and skin concerns: tan removal, skin brightening, kojic acid and exfoliation. New collection pages for tan removal, kojic acid and salicylic acid body washes captured demand the site already had impressions for but couldn't convert.

The outcome

Search is now the brand's highest-returning acquisition channel. AI search, which contributed almost no revenue at the start, is now a regular revenue source and still growing more than 28% month over month.

Why it worked

The brand already had demand; it was losing it at the page. Making collection and product pages answer the buyer's question, in a form both Google and AI systems can read, raised revenue faster than traffic and shifted growth toward new customers. Fixing URL fragmentation before scaling content kept new authority from splitting across duplicate category pages.