What Real AI-Visibility Infrastructure Looks Like

Most companies never actively decide what their AI-visibility profile looks like. It happens by default: a generic summary generated from whatever public data is available, left unclaimed, updated by no one. That default version is thin by design. It has no FAQs, no structured leadership content, nothing built specifically to answer the questions a candidate, or the AI a candidate is using, actually has.

Veritiv built out specific, structured content: a Love of Workplace Index score, distinct badges spanning categories like Remote Work, Career Advancement, and Young Professionals, and a named leadership section rather than a generic “our leaders” line.

The most concrete piece of the infrastructure is nine structured FAQs. Instead of leaving an AI system to infer answers about culture or growth opportunities from scattered mentions across the internet, the profile answers directly: this is what it’s like, this is how leadership operates, this is what advancement looks like here. That’s the difference between a company that AI can describe accurately and one it has to guess about.

None of this is cosmetic. The badges aren’t awarded for having a nice-looking page. They’re backed by real numbers: a strong survey completion rate, well above what most engagement surveys pull, and an improved year-over-year gain in engagement score. The infrastructure exists to make that real data legible to the systems now doing a large share of candidate research, not to replace the substance behind it, but to make sure the substance is actually findable.

Veritiv’s profile is a working example of what closing that gap actually looks like, not in theory, but as a built thing you can go look at right now.