{"id":31777,"date":"2026-09-29T12:16:06","date_gmt":"2026-09-29T10:16:06","guid":{"rendered":"https:\/\/wordlift.io\/blog\/en\/?p=31777"},"modified":"2026-09-29T12:30:39","modified_gmt":"2026-09-29T10:30:39","slug":"loreal-turkiye-ai-search-knowledge-graph","status":"publish","type":"post","link":"https:\/\/wordlift.io\/blog\/en\/loreal-turkiye-ai-search-knowledge-graph\/","title":{"rendered":"One Playbook, Four Brands: L’Or\u00e9al T\u00fcrkiye CPD’s Up to 450% AI Search Growth"},"content":{"rendered":"\n

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The market is answering questions before a brand’s website ever loads<\/h2>\n\n\n\n

AI Overviews now appear on roughly one in five Google searches.<\/strong> When they do, click-through rates to the open web fall by close to 60%, according to a 2026 SparkToro analysis. But brands cited inside those AI answers are rewarded for it. Seer Interactive’s November 2025 study of informational queries found that cited brands earn 35% more organic clicks<\/strong> than brands the same AI ignores.<\/p>\n\n\n\n

The pattern is simple. Consumers increasingly meet a beauty brand inside an AI-generated answer before they ever meet its website. Whoever supplies the data behind that answer shapes the decision.<\/strong><\/p>\n\n\n\n

L’Or\u00e9al T\u00fcrkiye’s Consumer Products Division ran into that shift across four brands at once: L’Or\u00e9al Paris<\/a>, Garnier<\/a>, Maybelline New York<\/a>, and NYX Professional Makeup<\/a>.<\/strong><\/p>\n\n\n\n

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“Working with WordLift across four of our brands showed us that AI-driven search is no longer an emerging trend, it\u2019s an active acquisition channel. By structuring our product data into a single knowledge graph, we made our content something AI systems could actually understand and cite, not just index. Seeing Maybelline New York\u2019s AI search views grow by 450% confirmed that owning your product information at the source directly translates into real, measurable business impact.\u201d<\/p>\n\n\n\n

Berrak Deniz – Online Activation Specialist at L’Or\u00e9al<\/p>\n<\/blockquote>\n\n\n\n

The challenge: brand sites that inform the decision but never close it<\/h2>\n\n\n\n

None of the four sites sell directly. Purchase happens at retailers and marketplaces. So each site’s job is to shape the decision, then send people onward through virtual try-ons, seller finders, and category pages.<\/p>\n\n\n\n

That makes each site the brand’s product-truth layer<\/strong> for the whole search ecosystem. Ingredients, benefits, usage, claims, and Turkish-language product naming are stated there first, by the brand. When a brand’s own version of a product isn’t machine-readable<\/strong> (meaning a computer program, not just a person, can read and understand it), the ecosystem fills the gap with third-party interpretations the brand doesn’t control.<\/p>\n\n\n\n

Working across four brands surfaced the same five gaps:<\/p>\n\n\n\n