LLM Visibility Audit
Practical Guide to Assessing Your Brand's Presence in Conversational AI
How to systematically check your brand's visibility on ChatGPT, Perplexity, Claude, Gemini and Copilot. Prompt templates, scoring grid and tracking over time.
In the United Kingdom, nearly one in three healthcare professionals already uses an AI assistant to gather information about pharmaceutical products. Patients, meanwhile, are increasingly turning to ChatGPT or Perplexity before even visiting the pharmacy. For pharma brands operating in e-commerce, a strategic question arises: when a user asks a conversational AI to recommend a product in your category, does your brand appear in the response?
This is precisely the purpose of an LLM (Large Language Model) visibility audit. This guide takes you step by step through evaluating, scoring and tracking your brand's presence across the five leading conversational AI models on the market.
Why an LLM visibility audit has become essential
The new decision-making journey
The online purchasing journey no longer begins solely on Google. In 2025–2026, a growing share of informational and transactional searches passes through AI assistants. When a pharmacy manager seeks a new food supplement supplier, when a patient wonders about alternatives to an OTC product, or when a hospital buyer compares medical devices, the answer no longer comes exclusively from a traditional search engine. It is often provided directly by an LLM.
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