Establish a Clear Brand Entity

The first problem was disambiguation — AI was confused about who the official brand was. We built an unambiguous entity foundation that gave every AI model consistent, authoritative signals.

• Organisation schema with full brand and product entity mapping
• llms.txt defining brand, products, materials, safety attributes and locations
• Knowledge Graph mapping from brand to category to product type
• Normalised brand identity across all digital platforms
• Official UK store status clearly signalled — eliminating AI ambiguity

Build the Highest-Trust Presence in Category

In a restricted niche, trust signals matter more than in mainstream categories. We built an authority footprint that made AI confident in recommending the official store.

• Safety-first product pages optimised for AI reasoning and trust signals
• Category pages explaining product types, materials and uses for LLM indexing
• Publicly verifiable information — shipping, location, safety guarantees — surfaced for AI
• JSON-LD schema matched to recognised eCommerce and material ontologies
• Internal linking pathways structured for AI navigation and citation

Maintain the #1 Position

AI visibility isn't set-and-forget. Model retraining cycles, competitor activity and new platform launches require ongoing monitoring to protect market position.

• Monthly AI citation tracking across ChatGPT, Grok, Perplexity, Copilot and Gemini
• PR campaign management — ongoing placements in category-relevant publications
• Quarterly llms.txt and schema refresh aligned with product launches
• Competitor citation monitoring — early warning when rivals gain traction

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