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Daikin ranking +38% moore on AI search answer
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Daikin needed clearer, more actionable content to remain visible in a rapidly evolving search landscape - where Google, AI assistants and generative engines now drive discovery.
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Daikin is a global leader in HVAC (Heating, Ventilation, and Air Conditioning) solutions, committed to driving the transition toward sustainable climate control. As a pioneer in heat pump technology, the company operates in a highly competitive B2B and B2C market where technical clarity and digital trust are paramount. In Belgium, Daikin serves as the primary authority for homeowners and professionals seeking energy-efficient solutions.
Beyond selling products, Daikin’s website acts as a critical educational hub. As the search landscape shifts from traditional links to AI-driven answers, Daikin recognized the need to evolve its digital presence. To maintain its market leadership, it was essential to transition from a classic SEO approach to a future-ready GEO (Generative Engine Optimization) strategy, ensuring visibility across Google, ChatGPT, and Perplexity.
Before implementing ActivGEO, Daikin faced the challenge of a rapidly evolving discovery landscape. Traditional SEO was no longer enough to capture users who increasingly rely on AI assistants to simplify complex decisions.
The main hurdle was content clarity and accessibility. Technical topics, such as heat pump pricing and installation, were often too dense or unstructured for modern search engines and generative AI to parse effectively. This led to a gap between Daikin’s expertise and its visibility in AI-generated summaries. To remain the "top-of-mind" answer, Daikin needed to match real user intent and clarify technical customer journeys. The ambition was clear: move away from long, dense pages toward a structured, AI-friendly content architecture that wins across all search platforms.
The primary objectives were three-fold:
Daikin partnered with our team to implement a cutting-edge SEO + GEO synergy. We moved beyond simple keyword optimization to a "User Intent First" methodology, structured around how generative engines actually consume data.
The process began with a deep dive into personas and customer journeys, identifying Daikin’s key assets. We then applied a Topic Cluster model, rebuilding the heat pump content into "autonomous chunks" (maximum 150 words each) designed for high readability. We introduced a multimodal approach—integrating video, audio, and text—and optimized the tone for directness (FAQs, How-tos, and structured lists). By implementing clear summary tables and an intuitive Table of Contents, we created a foundation that allows both Google’s crawlers and AI LLMs to identify Daikin as the most reliable source of information.
To meet these needs, we rebuilt the content using an AI-friendly structure:
Since the rollout, Daikin has seen a transformative impact on its digital footprint. By aligning SEO and GEO, the brand has secured a stronger, more coherent presence across the entire search ecosystem. The redesigned content now acts as a high-authority source for AI citations, frequently appearing as a primary reference in ChatGPT and Perplexity results.
From a performance standpoint, the "User Intent" focus has drastically improved engagement. Users can now find answers to complex pricing questions more efficiently, leading to a more visual and actionable layout that guides them through the conversion funnel. This project has proven that structured, modular topics outperform dense pages, positioning Daikin not just as a manufacturer, but as the leading digital voice in the HVAC industry.

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