How to get your CX ready for AI

The rise of AI has fundamentally changed how people discover, evaluate and engage with brands online. The question is no longer whether your brand needs an AI strategy — it's whether your customer experience is ready to perform in an AI-first world.

What is an AI-first CX?

ChatGPT now has over 800 million weekly active users. Google's AI Overviews and AI Mode are reshaping search results. People are increasingly turning to AI assistants for recommendations, comparisons, and purchasing decisions — often before they ever visit your website directly.

An AI-first customer experience is one designed not just for human visitors, but structured and optimised so that AI systems can accurately understand, summarise and recommend your brand. There are three key implementation areas: content structure and schema, conversational interface design, and data architecture.

How do I make my brand AI-ready?

Making your brand AI-ready requires a systematic approach that starts with understanding and ends with action. You need to know how people are currently using AI in your specific industry before you can know what to change about your own digital presence.

The 2 steps of AI-readiness

Step 1: Research

Before you do anything technical, you need to understand the landscape. This means mapping the social and digital ecosystems where your customers are using AI, benchmarking how your competitors appear in AI responses, and identifying the gaps between how AI represents your brand and how you want to be represented.

“Before you do anything, you need to understand how people are using AI for your industry and niche.”

Step 2: Site audit

With that research foundation, you can conduct a meaningful audit of your digital presence. This covers six key areas: site architecture and URL structure, schema and structured data markup, data quality and freshness, content depth and authority signals, conversion points and clarity, and page speed and technical performance.

LLMs are changing traditional search patterns

Large language models are not just changing how people search — they're changing the entire path to purchase. Research from McKinsey shows that AI-influenced purchase journeys have fundamentally different touchpoints compared to traditional search-driven journeys. Capgemini's research demonstrates that brands with strong structured data and authoritative content perform significantly better in AI-generated recommendations.

The brands that invest in AI-readiness now will build a significant advantage as AI commerce disruption accelerates.