Project Overview

This case study covers a Generative Engine Optimization (GEO) and AI SEO engagement for a D2C clothing and apparel brand. As shopping behavior shifts toward AI-powered discovery — ChatGPT, Perplexity, and Google's AI Overviews — the brand wanted to be visible not just in traditional blue-link search results, but inside AI-generated answers recommending products, styling advice, and buying guides.

Challenges Before GEO Implementation

Before this engagement, the brand had a reasonably functional website with standard on-page SEO, but was completely unprepared for the AI-search era:

Our GEO & AI SEO Strategy

We built a focused 3-month GEO strategy designed to make the brand's content easy for AI models to crawl, understand, quote, and recommend — while strengthening the traditional SEO foundation that AI engines still rely on.

1. llms.txt Setup

• Created and deployed an llms.txt file to guide AI crawlers (ChatGPT, Perplexity, Claude, Gemini) toward the site's most important, citation-worthy content
• Structured the file to prioritize product categories, guides, and brand information for clean AI ingestion

2. FAQ Integration Across Pages

• Added structured FAQ sections to key product and category pages, answering the exact questions shoppers ask AI assistants
• Focused on sizing, fabric, styling, and care-related queries — the most common AI-search intents in fashion

3. Schema Markup Implementation

• Rolled out Product schema, FAQ schema, and Article schema across the site
• Ensured structured data was clean and validated, giving AI engines and traditional search a clear, machine-readable understanding of every page

4. AI-Targeting Blog Content

• Published blogs specifically written to match how people phrase questions to AI tools (e.g., "what to wear for..." / "best fabric for...")
• Created and continuously updated "question-worthy" content — long-form, direct-answer-style articles designed for AI citation
• Refreshed existing blog content to improve clarity, directness, and quotability for AI summarization

5. Community & Forum Presence (Reddit)

• Built organic presence and discussions on Reddit and relevant fashion forums
• These community signals are heavily weighted by AI models like ChatGPT and Perplexity when generating product recommendations

6. PR & Digital Authority Building

• Ran targeted PR activities to earn brand mentions across fashion and lifestyle publications
• These mentions strengthen the entity and trust signals that AI search engines use to decide which brands to recommend

Results in 3 Months

In just 3 months, the brand saw measurable growth in both traditional organic search performance and — most notably — its visibility inside Google's AI-powered search features.

Google Generative AI Features Performance

Comparing the last 28 days vs. the previous 28 days, tracked specifically under Google Search Console's "Generative AI features" report:

💡 Key Insight: This growth reflects Google's AI Overviews increasingly pulling and citing the brand's FAQ content, schema-enhanced product pages, and AI-targeted blog articles when answering fashion-related queries — direct evidence that the GEO strategy is working as intended.

Overall Search Performance (Web Search)

Beyond AI visibility, traditional organic search performance also improved meaningfully — showing that GEO and classic SEO reinforce each other rather than compete:

💡 Key Insight: The slight shift in average position (6.7 → 8.0) is a natural result of ranking for a much wider set of queries — impressions grew 42% as new FAQ, blog, and schema-enhanced pages began ranking for additional search terms. Combined with a rising CTR, this shows the site is winning more total visibility and clicks, not losing ground on its core rankings.