R/GA Unveils AI Search Optimisation Platform to Help Brands Navigate the New Era of AI-Driven Discovery

R/GA Introduces AI Search Optimisation Platform to Address SEO Disruption

As AI-powered search engines reshape how consumers find brands, R/GA has launched a proprietary AI Search Optimisation (ASO) Platform. This tool helps brands monitor and improve their visibility across AI-driven search platforms, responding to the fact that over 34% of Google queries now include AI-generated answers.

The platform is the first release from R/GA’s AI Products Practice, supported by a $50 million innovation fund. It offers brands real-time search health checks and detailed insights into how they appear—or don’t—on AI search results. This visibility is key as traditional keyword-based SEO gives way to AI-generated, dialogue-based recommendations.

Why Traditional SEO Tools Fall Short

With AI platforms like Google Gemini, OpenAI, Perplexity, Claude, and Deepseek providing direct answers instead of lists of links, brands need new strategies. Traditional SEO tools no longer offer the insights needed to track performance on these AI platforms. This leaves many brands uncertain about their current AI search presence and at risk of losing relevance.

Research supports this shift: Gartner predicts a 25% drop in traditional search engine volume by 2026, with AI search platforms gaining market share. Additionally, Bain reports that 80% of consumers rely on “zero-click” results for at least 40% of their searches, highlighting the importance of appearing in AI-generated recommendations.

How R/GA’s Platform Supports Product Development Teams

R/GA’s ASO Platform offers features designed to help brands maintain and improve their AI search visibility:

• Real-time tracking of brand presence across AI search platforms
• Benchmarking against competitors across AI tools like Gemini, Perplexity, ChatGPT, Claude, and Deepseek
• Sentiment analysis of AI-generated recommendations
• Monitoring of changes and trends in AI models over time
• Strategy recommendations to enhance AI search performance

These capabilities allow product teams to measure AI visibility continuously, detect shifts quickly, and fine-tune their content and SEO strategies with actionable insights.

Strategic Implications for Product Development

For product developers, this shift means rethinking how products and content are positioned for discovery. Optimising for AI-driven search isn’t just about keywords anymore—it requires understanding how AI models generate answers and recommendations.

Using tools like R/GA’s ASO Platform can help product teams stay ahead by providing data on how AI search engines interpret and present their brand. This insight informs decisions on messaging, content creation, and digital strategy to ensure a strong AI search presence.

Brands that fail to adapt risk falling behind as AI search becomes the dominant way consumers find information.

Further Learning

For those interested in expanding their skills in AI and search optimisation, exploring courses on AI tools and prompt engineering can be valuable. Platforms like Complete AI Training offer resources tailored to current AI trends and practical applications.