Why Brands Are Ditching Static Websites for AI Agents

R/GA and G42 launched Alpha.G42.ai, replacing traditional websites with conversational AI that generates personalized content for each visitor. Brands must adapt as 80% of searches now result in zero clicks.

Why Brands Are Ditching Static Websites for AI Agents

Creative agency R/GA and Abu Dhabi-based AI firm G42 launched Alpha.G42.ai on April 16, 2026, replacing G42's traditional website with a conversational AI agent that generates personalized content for each visitor in real time.

What Alpha.G42.ai Actually Does

Instead of displaying fixed web pages, the platform uses large language models (AI systems trained on vast amounts of text) to hold conversations with visitors and produce custom responses on demand.

Source materials including PDFs, videos, and articles are fed into the system. The AI then synthesizes these into a live knowledge base, generating unique outputs for every user. These outputs range from sector-specific executive briefings to bespoke audio podcasts, all produced automatically based on what each visitor asks.

Kyle Wheeler, Global Executive Creative Director at R/GA, described the brief from G42 as "Websites are dead; agencies are irrelevant; prove us wrong." His team's response: "not to redesign a website, but to engineer the next operating system for brands."

Alesandro Brunori, VP of Brand Experience at G42, added: "This isn't an evolution of a website; it's a prototype for a new form of the web, marking the true beginning of the agentic web."

The project was partially funded by R/GA's US$50 million Innovation Fund, signaling a capital commitment to building AI-native brand infrastructure rather than advising on it.

The Market Conditions Driving This Shift

The launch arrives as traditional websites lose effectiveness as discovery tools. 80% of searches now result in zero clicks, meaning users get answers directly from search engines without visiting any brand site. AI-generated summaries now appear in 34% of Google queries.

Australian Retailers Face 'Answer Engine' Visibility Crisis
Australian eCommerce retailers are unprepared for AI-driven shopping as 64% of consumers use AI tools to buy. Without Answer Engine Optimization, brands risk invisibility despite strong traditional search rankings.

Separately, 58% of consumers now use generative AI tools for product and brand discovery. These shifts mean a brand that exists only as a static URL is increasingly invisible to the systems that mediate how people find information.

Alpha.G42.ai is engineered to address this directly. The platform is optimized not just for human visitors but for external AI agents including ChatGPT, Google Gemini, Perplexity, and Claude, enabling machine-to-machine brand discovery. R/GA describes this capability as "AI Search Optimization" and "promptable brands," disciplines it positions as successors to traditional search engine optimization.

Research into this emerging field indicates that third-party mentions are three times more impactful than backlinks in influencing how AI systems cite and recommend brands. Alpha.G42.ai's architecture is explicitly designed to perform well on this metric.

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G42's Profile and R/GA's Positioning

G42, headquartered in Abu Dhabi, was named to TIME's 2025 100 Most Influential Companies list, recognized in part for an AI supercomputer developed in partnership with OpenAI. The company targets B2B, B2G (business-to-government), academic, and entrepreneurial audiences with its "Intelligence Grid for AI-Native Societies" framework.

R/GA expanded its 16-year partnership with Google in January 2026, specifically focused on AI innovation, establishing its credentials as an engineering-led agency for AI-native brand systems ahead of the Alpha.G42.ai launch.

A new performance metric is emerging alongside platforms of this type. "Share of Model" (how frequently a brand appears in AI-generated responses) is beginning to replace "Share of Voice" as the primary measure of brand visibility in AI-native environments.

Alpha.G42.ai is currently live as a working prototype. No full deployment timeline has been announced.

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