Fashion
Brand

The brand existed in Google's eyes as a collection of product pages, not a recognized entity. Phase 01 was about giving it an identity: structured proof that Google and AI models could parse, store, and recall. I engineered the brand SERP from zero — controlling what appears when someone Googles the brand name.

• →Knowledge Graph entity claim: Schema.org Organization + Brand markup with sameAs links connecting the brand to its social profiles, press mentions, and directory listings — the core signals Google uses to build an entity record.
• →Brand SERP engineering: Systematically controlled 7 of the first 10 Google results for the branded query — official site, Google Business Profile, Instagram, LinkedIn, Facebook, a styled press mention, and a branded image carousel.
• →Consistent entity signals across 40+ directories: NAP consistency, claimed and optimized profiles on fashion-relevant aggregators, and Wikipedia-adjacent content assets that give Google corroborating evidence for the entity.
• →Google Business Profile optimization: Claimed, fully optimized, and regularly updated — adding the brand to Google's local entity graph and creating a direct Knowledge Panel trigger.

The brand owned 2 content topics with any real depth. Competitor analysis revealed 12 underserved topic clusters the brand could own outright — areas where Zara and H&M post surface-level content and abandon it. I built a pillar-and-cluster content architecture covering every dimension of the brand's fashion niche.

• →14 topical clusters identified and claimed: capsule wardrobe building, slow fashion care guides, occasion-based styling (wesele, business casual, weekend), seasonal trends, fabric and material guides, ethical fashion, sustainable care, and more.
• →5 pillar pages (3,000+ words each): Capsule Wardrobe, Slow Fashion, Seasonal Style, Occasion Dressing, and Fabric & Material Guides — each built as the definitive resource on its topic, with full E-E-A-T signals and expert author attribution.
• →62 cluster articles (800–1,500 words each): Internally linked in a hub-and-spoke model, each cluster article passes topical authority upward to its pillar page and signals relevance across the entire topic cluster.
• →Internal link architecture scoring 94/100 on topical relevance: Every article maps to a pillar, every pillar links to the cluster, and the cluster interlinking structure was audited and scored using semantic link analysis tools.

Fashion is one of the highest-volume categories for AI-assisted queries: 'co zalozyc na wesele?', 'jakie marki oferuja slow fashion w Polsce?', 'jak zbudowac capsule wardrobe?'. I engineered the brand's content to be the definitive answer to these queries — in both LLM training data and live retrieval contexts.

• →StyleGuide + ClothingProduct + FAQPage schema on all key pages: Structured data that LLMs can parse to understand the brand's products, aesthetic, and authority — turning product pages into entity-rich knowledge assets.
• →40+ FAQ blocks targeting AI-style queries: Each FAQ section addresses the exact natural-language patterns AI models use — 'co zalozyc na...', 'jak dobrac...', 'czym rozni sie slow fashion od...' — making the brand the sourced answer.
• →Brand narrative engineering: A comprehensive brand document (brand story, values, aesthetic vocabulary, style positioning) that was deployed across all content — giving LLMs a consistent, parseable brand identity to learn and reproduce accurately.
• →8 digital PR placements in fashion magazines and lifestyle blogs: Each placement creates an authoritative backlink, an entity citation, and a new corroborating signal that LLMs pull when generating brand recommendations.