How can we create personalised website experiences with AI?

AI-powered website personalisation can turn a large library of content into a more relevant journey for each visitor. Rather than presenting the same fixed pages or assessment outcome to everyone, an experience can identify user-specific challenges, ask tailored questions and generate recommendations based on the visitor's circumstances and responses.

The objective is not personalisation for its own sake. The objective is to help prospects identify the information, services or next steps most relevant to their needs. Publicly available firmographic and demographic data can provide an immediately relevant starting point, while a visitor's answers can make the journey more specific. This approach is particularly useful when an organisation has deep expertise but visitors struggle to locate the resources that matter to them.

Reliable personalised website experiences combine generative AI with structured rules and trusted content sources. AI can interpret a visitor's needs and generate a tailored response, but the response should be informed by an approved knowledge base, such as service expertise, playbooks and supporting content.

Start with the knowledge that already represents the organisation accurately. Structure that knowledge so the AI can draw on it consistently, then design questions that reveal the visitor's challenge, priorities and context. Relevant business and audience data can shape the opening journey before the visitor provides further detail. Integrating the experience with a customer platform can capture first-party data for future engagement, while prompt design, testing and supporting content keep the interaction useful rather than generic.

Human judgement is needed to ensure AI-generated personalisation remains accurate, engaging and distinctive. Generative AI can create content and media at a scale that would otherwise be difficult to achieve, but speed alone does not create a valuable website experience.

Set clear rules for the sources AI may use, the claims it may make and the actions it may recommend. Review prompts and outputs throughout development, especially where recommendations depend on specialist expertise. Keep the brand's narrative, context and personality in the journey rather than replacing every interaction with generic generated copy. A focused experience built around authoritative knowledge is more useful than a large volume of lightly differentiated content, and regular review is necessary as audience needs and business priorities change.

We believe personalised website experiences should make complex expertise easier to navigate without losing the imagination, judgement and brand character that make an organisation worth choosing. AI can generate tailored content at speed, but it needs clear structure, trusted sources and thoughtful human direction to remain valuable.

We have put that approach into practice for UST, developing NavigatorAI to guide prospects through tailored questions and generate recommendations informed by the company's AI playbook and expertise. Public business and audience data shaped individual journeys, while human oversight supported accuracy and relevance. We have also built a generative AI content pipeline for G42 that enabled the creation of more than 150 videos in days. The right partner should be able to connect audience understanding, trusted knowledge, experience design and ongoing human governance.