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Behr Paint Redesigns Website for AI-Driven Search

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Behr Paint Company website
Courtesy of Behr Paint Company

As Ad Age reports, Behr Paint is undertaking a major website overhaul to adapt to the growing role of artificial-intelligence-powered search and generative discovery.

Why the Shift Matters

Search behaviour is changing fast. Consumers are increasingly using AI assistants and generative models to ask open-ended questions, such as “best paint colour for living-room north-facing window”, rather than typing keywords into traditional engines.
Behr’s leadership recognized this trend and decided to make its site more “AEO-friendly” (“Answer Engine Optimization”) so it can surface high in generative results and keep customers in its ecosystem.

What the Revamp Involves

  • Behr is adjusting how content is structured on its website so that topic-based clusters (for example, “warm neutrals for apartments,” “eco-friendly exterior paints”) can serve as stand-alone answers that AI assistants can pull into chat responses.
  • The company is designing new user experiences that integrate guided tools and interactive modules to help people earlier in their purchase path, before they arrive at a decision.
  • Behr is also refining its metadata, improving schema markup, and enhancing internal linking so that generative models can better interpret which pages provide reliable information.
  • The updated site emphasizes first-person voice, step-by-step guides, video and visual assets to make content more ‘rich’ and helpful, signalling relevance to AI systems.

Expected Benefits and Impact

By becoming more AEO-ready, Behr aims to:

  • Capture traffic earlier in the customer journey, when consumers are exploring rather than ready to buy.
  • Maintain brand presence even if consumers do not land directly on Behr’s site, but discover content through AI-driven assistants or answer engines.
  • Reduce dependence on paid search by securing organic placements via generative discovery.

Strategic Takeaways for Marketers

Behr’s approach highlights two emerging practices:

  1. Optimize for answer engines, not just search engines. Brands should focus on creating content that can satisfy an AI assistant’s query, not merely rank in keyword results.
  2. Design digital experiences for upstream intent. Offering interactive tools, guided workflows, and structured content keeps brands relevant earlier in the decision process, long before the final transaction.

What to Monitor

Key metrics to watch will include how much referral traffic originates from AI assistants, how engagement metrics on new guided modules perform, and whether bounce rates fall as consumers find clearer answers. Brands should also assess whether improved AEO correlates with broader conversion lift or deeper engagement further down the funnel.

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