Performance Snapshot

About The Brand

This brand is India's first and largest single-ingredient D2C beauty and personal care brand with over 250+ SKUs across skincare, haircare, body care, and fragrance. Our client clocks a revenue of $27 million, growing 21% increase YoY. They have 1,000+ employees across product development, supply chain, marketing, and sales and serve over 2.5 million customers annually through D2C, Nykaa, Amazon, Flipkart, and offline retail. They are present across 5,000+ retail touch-points in India including modern trade and general trade. They ship to 11 countries including the USA, UAE, Singapore, and the UK. Our client has also raised approximately $38M across multiple rounds by notable investors like Paragon Partners and Sharrp Ventures. 

Market Context: The brand operates in a high-intent, high-competition category where customers rarely search by brand name at the discovery stage. Winning queries like "best body scrub", "tan removal body wash", and "hair serum" is the primary lever for new customer acquisition. Search, both traditional and generative, is the brand's most critical growth channel.

The Challenge

The brand had strong discovery across organic search but was losing revenue at conversion. Three structural problems were limiting organic and AI search performance.

1. Discovery Was Not Converting Into Revenue

Collection and product pages were structured primarily for browsing, not decision-making. High-intent visitors landing on pages for "body scrub", "body wash", and "hair serum" were not being guided toward purchase. Revenue was leaking at the point of discovery despite growing impressions.

2. AI Search Was an Untapped Channel Generating Zero Revenue

As generative engines like ChatGPT, Perplexity, and Google AI Overviews increasingly influenced purchase decisions, the brand had no structured presence in AI-generated responses. There was no schema, no FAQ coverage, and no structured data to enable AI systems to surface the brand's products confidently. AI-attributed revenue at the start of the engagement was zero.

3. Non-Branded Keyword Opportunity Was Under-Monetized

Non-branded revenue, the primary signal of new customer acquisition, was growing far slower than branded revenue. This indicated the brand was retaining existing customers well but missing discovery-stage buyers who were searching for ingredients, benefits, and product categories without yet knowing the brand.

The Strategy

Rather than treating SEO and GEO as separate programs, the approach unified both under a single objective: convert more revenue from the search demand the brand was already generating. Organic search optimization and generative engine readiness were built in parallel, so that every content and technical improvement served both traditional rankings and AI visibility simultaneously.

1. Collection Pages Rebuilt as Conversion Engines

Collection pages for body wash, body scrub, body lotion, and exfoliation were restructured with commercial-intent content hierarchies, ingredient benefit language, and buyer guidance sections. Pages previously functioning as product listings were redesigned to support decisions and drive conversions.

2. FAQ and Structured Schema Deployed Across Product and Collection Pages

FAQ schema was deployed across product pages targeting People Also Ask slots for ingredient, use-case, and benefit queries. AggregateRating and Product schema were implemented to earn rich results in SERP, while also making product information machine-readable for AI recommendation engines. This single lever proved to be the highest-ROI activity across the engagement, with every product page that received FAQ schema showing measurable revenue improvement within the same reporting cycle.

3. Non-Branded Keyword Clusters Mapped to Revenue-Driving Pages

Keyword footprint was expanded systematically by targeting high-volume, purchase-intent queries around specific ingredients and skin concerns: tan removal, skin brightening, kojic acid, caffeine for hair growth, and exfoliation. New collection pages were created for emerging query clusters including "tan removal body wash", "kojic acid body wash", and "salicylic acid body wash" to capture demand the site was generating impressions for but not yet ranking to convert.

4. Technical Issues Suppressing Revenue Were Resolved

A systematic technical audit identified URL fragmentation and duplicate collection pages that were splitting ranking authority across the site. 301 redirects were implemented to consolidate fragmented URLs, tracking-only collection pages were de-indexed to protect crawl budget, and canonical signals were corrected across fragrance and lotion category pages. These fixes directly recovered keyword coverage and ranking positions.

The Results

The combined SEO and GEO program delivered measurable revenue growth across every major search channel. Organic revenue, AI revenue, and shopping channel revenue all grew significantly year-over-year, with the AI channel going from zero to a meaningful revenue contributor within 12 months.

Revenue Growth by Channel

Product-Level Wins Driven by Schema and Content Optimization

Search Visibility and AI Growth

Why It Worked

Business Impact

In 12 months, the brand's organic search engine became a more efficient revenue machine. Revenue grew 67% year-over-year without proportional increases in traffic volume, indicating that conversion efficiency improved materially across the site. Non-branded revenue more than doubled, confirming that new customer acquisition from search improved significantly. The AI channel, which contributed minimal revenue at the start of the engagement, grew by +59,009% by Q4 2025 and continues to grow at over 28% month-on-month. The total investment delivered a 45.6x ROI, making search the highest-returning acquisition channel in the brand's marketing mix.