Brand-indication level AI intelligence
AIR measures AI visibility, positioning and source appearance across ChatGPT, Gemini, Claude and Perplexity — so you know how scientific and public information represents your brand, indication by indication.
A brand's AI perception can be completely different by indication. Keytruda in NSCLC is not Keytruda in melanoma. AI Decoder analyses each brand-indication on its own — then rolls up to brand, portfolio and enterprise.
Each brand-indication gets its own visibility, positioning, source appearance and recommendations.
Same prompts, same engines, same geographies — every month. Variability becomes the AI reality your brand needs to monitor.
How often is your brand mentioned and recommended — and at what rank — versus competitors, by engine, geography and month.
How AI engines perceive your brand across efficacy, safety, convenience, evidence strength and more — consumer vs professional.
Which guidelines, publications and pages appear alongside AI answers about your brand and your competitors.
High/low impact by global/local scope, with pharma-safe next actions for global, regional and affiliate teams.
Pick brand, indication, competitors and attributes. The system recommends prompts; you approve.
Approved prompts go to selected AI engines, localised by geography and audience — plus a source follow-up question.
An analysis layer extracts mentions, ranks, attribute perception and source appearances — only what appears, never why.
Visibility, positioning, source appearance and a prioritised action matrix, refreshed every month.
Self-served and pharma-friendly. Answer three questions and your package is calculated — modifiers like competitors, prompts and refresh frequency simply shape the tier.