LLM Tracker UK:
Monitor How AI Recommends Your Business

LLM tracking monitors how Large Language Models mention your business. It measures how often ChatGPT, Gemini, Claude and Google AI Overviews recommend you when users ask relevant questions. Think of it as rank tracking for the AI era.

Traditional SEO tracks your position in a list of ten blue links. LLM tracking measures something fundamentally different: whether AI mentions your business at all, how it characterises you, and how you compare to competitors in AI-generated answers.

For UK businesses, this distinction is critical. 30% of B2B product discovery now happens entirely inside conversational AI. 73% of B2B buyers use AI tools during their research. If your business is invisible in those conversations, you are losing deals before prospects ever visit your website. Measuring your AI visibility is the first step to fixing that.

One experiment asked an AI the same question 1,000 times and produced 80 completely different answers. Single checks are unreliable. Asking ChatGPT once whether it recommends your business tells you almost nothing. The answer might differ five minutes later.

A proper LLM tracker runs queries on a schedule and builds trend data over time. Weekly snapshots show short-term variability. Monthly aggregation reveals the real direction. Are you becoming more visible or less visible? That is the question that actually matters for your business.

Modern LLMs also browse the web in real time. ChatGPT uses Bing for live search. Gemini pulls directly from Google Search. This means your online presence today directly influences what AI recommends tomorrow. Businesses mentioned in recent articles and reviews gain temporary boosts in recommendation probability.

Apple is licensing Google's Gemini for Siri, which means AI recommendations will soon flow through voice assistants too. With 86 million Siri users, this creates yet another channel where your AI visibility matters. British businesses that track across all platforms now will be prepared when Siri starts recommending local services.

AI models pull information from multiple sources before forming a recommendation. The more platforms where your business appears with consistent positive signals, the more likely AI is to recommend you. Businesses listed on three or more platforms see 3.7 times the AI recommendation rate compared to those relying on a single listing.

For UK businesses, the relevant platforms include Trustpilot and Google Business Profile. Add Yell, Checkatrade and Bark alongside industry-specific directories. A plumber in Leeds with a Gas Safe registration, strong Checkatrade reviews and an active Google Business Profile sends far stronger signals to AI than one with only a website.

Professional services face their own landscape. Solicitors need SRA listings. Accountants need ICAEW or ACCA visibility. Financial advisers need FCA authorisation records. AI actively checks these regulatory databases when forming recommendations about regulated industries.

Reviews play a central role. 74% of consumers only trust reviews posted within the last three months. AI reflects this same recency bias. A steady stream of fresh Trustpilot reviews carries more weight than hundreds of old ratings. AI tends to recommend businesses with ratings of 4.3 stars or above. Understanding how LLM recommendations work helps you focus on the signals that matter most.

An LLM tracker shows you which platforms are contributing to your AI visibility and which are not. You might discover that your Trustpilot presence is driving ChatGPT mentions but your absence from Checkatrade is keeping you out of Gemini results for trade queries.

This platform-level insight is what makes tracking valuable. Without it, you are guessing which directories matter for AI. With it, you can allocate your time and budget to the platforms that actually influence recommendations in your sector.