{"id":8048,"date":"2026-06-23T08:08:48","date_gmt":"2026-06-23T00:08:48","guid":{"rendered":"https:\/\/moresourcing.com\/llms-misunderstand-luxury-brands-heres-how-to-optimize-your-marketing-strategy-for-ai\/"},"modified":"2026-06-23T08:08:48","modified_gmt":"2026-06-23T00:08:48","slug":"llms-misunderstand-luxury-brands-heres-how-to-optimize-your-marketing-strategy-for-ai","status":"publish","type":"post","link":"https:\/\/moresourcing.com\/en\/llms-misunderstand-luxury-brands-heres-how-to-optimize-your-marketing-strategy-for-ai\/","title":{"rendered":"LLMs Misunderstand Luxury Brands. Here\u2019s How to Optimize Your Marketing Strategy for AI."},"content":{"rendered":"

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As LLMs and AI agents increasingly displace traditional search<\/a> and sway consumer decisions, brands face a new challenge: being seen and correctly interpreted by machines.\u00a0<\/strong>This has accelerated interest in generative engine optimization (GEO) and in what some call \u201cbot psychology,<\/a>\u201d or how AI systems interpret meaning, authority, and relevance when they generate answers on consumers\u2019 behalf. The general advice has been that brands should structure product data for machine readability, seed authoritative language in owned and earned media, and monitor (as we\u2019ve previously discussed in HBR) their \u201cshare of model\u201d<\/a> across platforms.<\/p>\n<\/div>\n