How do we test whether a campaign is recognised?

Campaign recognition in AI-mediated B2B discovery is best checked with a repeatable prompt-and-accuracy test. Ask the AI platforms customers use the questions customers might ask, then record whether and when the brand appears in the answer. Run the same prompts regularly and log the responses in a spreadsheet so changes are clear over time.

Visibility alone is not enough. Check whether every answer describes the brand accurately, because AI can return incorrect or incomplete information. Keep public details up to date and publish high-quality brand-led content that reflects what the business genuinely delivers. Structured data, including schema markup, can also help search engines and AI tools understand what a page is about. The result is a simple, ongoing view of whether a campaign is helping the brand show up clearly when buyers are looking for answers.

Brand recognition does not automatically create buyer confidence, especially in complex B2B decisions. A useful campaign review therefore checks both whether the brand appears and what people say about the experience behind it. Reviews, social media and other public conversations can reveal the emotional tone around brand mentions, helping teams see whether the brand feels credible, relevant and understood.

This is where legible reputation matters. A brand needs to be known for something specific, with that reputation visible in the places buyers and AI tools encounter. Broad awareness can open the door, but buyers still need confidence in the real experience the business provides. Communications work best when the same clear brand behaviour is reflected in digital interactions, sales calls, events and community activity, rather than living only in a campaign.

We believe campaign recognition should be measured as a living picture of visibility, accuracy and reputation, not as a single awareness score. AI-mediated discovery can surface a brand before a buyer speaks to a salesperson, while human decision-makers still need confidence in the experience behind the claim. We have set out a practical four-part check: monitor appearances in AI answers, verify accuracy, compare positioning, and assess the language people use in reviews and social media. We have also made the case that reputation needs to be legible and backed by real experiences across digital interactions, sales calls, events and communities. The work is about making a brand easier to find, understand and advocate for.