Finding out, concretely, how AI tools currently represent you.
An AI search visibility audit for pharmaceutical companies wanting to know how major AI answer engines currently describe their company and products, rather than assuming.
Most companies have no concrete idea how AI tools currently represent them, and the answer is frequently inaccurate, outdated or absent entirely. An audit replaces assumption with direct evidence, checked against the actual questions your audience would plausibly ask.
Direct querying of major AI tools with realistic audience questions, an accuracy check against what is actually true, a citation and source analysis, and a prioritised set of recommendations to improve representation.
The audit gives you a clear diagnostic of your current AI citation visibility and a concrete set of recommendations to improve it — grounded in what we can actually verify today, not a guaranteed outcome from any AI provider.
The scope our AI search visibility audit work has operated within.
The underlying question differs by company. An AI search visibility audit starts from that question.
What comes up when checking AI representation for the first time.
We check the major AI answer engines your audience is most likely to use in practice, such as ChatGPT, Gemini and AI-generated search summaries, rather than defaulting to a fixed list regardless of your actual audience behaviour. Which engines matter most is confirmed with you at the start of the engagement, based on where your buyers currently search.
We document exactly where and how the representation is inaccurate, whether that is outdated pricing, a missing product line or a misattributed claim, and recommend the structural content changes needed to correct it. See AI search visibility for the implementation work — updated schema, clearer source content — that follows the audit and puts those fixes into practice.
No, citation decisions are made entirely by each AI provider’s own ranking system, and outside parties do not control that outcome directly. What we improve are the structural factors within our control, such as content clarity, schema and source authority, and we report clearly on which of those changed and which citations still did not follow.
This space changes faster than traditional search, since AI models and their source weighting are updated frequently and can shift how a brand is represented within weeks. We recommend rechecking regularly, at a cadence tied to how fast your market and competitors move, rather than treating the initial audit as a one-time exercise that stays accurate indefinitely.
An AI visibility audit often connects to these related problems.
Uncertainty about how AI tools currently represent your company. Tell us your audience and we will tell you how we would approach the AI search visibility audit.