Why do AI tools give different business recommendations in the UK?

Each AI platform uses different training data, different retrieval methods, and different weighting systems. This means ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, and Copilot can each recommend different businesses for the same question — and this is normal, not an error. Why recommendations differ by platform: Different training data — each model was trained on a different mixture of web content, books, and other sources at different points in time. Different retrieval systems — some platforms (like Perplexity) actively search the web before answering, while others rely more on trained patterns. Different weighting — Google AI Overviews naturally weighs Google's own data (Google Business Profile, Google Reviews) more heavily than Claude, which draws from different sources. Different safety policies — each platform has its own rules about what types of businesses and claims it will recommend. Different update schedules — platforms update their knowledge at different frequencies. What this means for your business: Optimising for a single AI platform is risky and short-sighted. If you optimise exclusively for ChatGPT, you may be invisible on Gemini. The most resilient approach is to build structural clarity that works across all platforms — strong entity signals, consistent information, comprehensive content, and robust external validation. How to check your cross-platform visibility: Test the same questions across all six major AI platforms. Record which ones mention you, how they describe you, and where you are absent. This reveals which signals are working universally and which have platform-specific gaps. Rank4AI's AI Search Visibility Audit tests across all six major platforms to identify cross-platform visibility patterns and platform-specific gaps.