Research

AI models do not respond the same way to 'what health insurance do you recommend?' as to 'I need urgent health insurance for freelancers'. Prompt context — intent, urgency, user profile, explicit comparison — changes how AI presents options. PCI™ measures whether your brand benefits or is harmed by that contextual adaptation.

A brand can have excellent visibility in informational prompts ('what is X?', 'what are the options for Y?') and low visibility in transactional prompts ('I need to hire X today', 'what is the best option of Y for my case?'). PCI™ maps that distribution to identify in which types of prompts there is more work to do.

AI models have training cutoff dates and, although some incorporate real-time search, most of their brand knowledge is built in the training process. KFI™ measures the currency of that knowledge: does AI know about your rebrand from last year? About your new product line? About the change in your value proposition?

KFI™ is especially critical for companies that have had significant changes in the last 2-3 years: mergers, acquisitions, strategic pivots, geographic expansion, name change or brand repositioning. In these cases, AI may be communicating an old version of the company that no longer exists.

AI models are not emotionally neutral when talking about brands. While they try to be balanced, the training corpus incorporates the general tone with which sources talk about each company — and that tone is reflected in responses. AIS™ (AI Sentiment Score) analyzes whether that tone benefits or harms you.

Negative sentiment signals are often subtle: phrases like 'although some users report...', 'while it is an option...', 'it is worth verifying...', 'for certain profiles it may work...' are not explicit criticisms, but accumulated systematically they build a perception of second choice. AIS™ detects these patterns before they become critical.

Note: AIS™ as an AI visibility metric is different from the AIS™ (AI Strategy) module in CORE™. The AIS™ module is the solution; the AIS™ metric is the indicator that solution helps improve.