AI Influencer Marketing

No — we do not run synthetic or virtual personas. The term covers two real things, and we do both. First, promoting AI products through human creators: the reviewers, builders and educators AI buyers already follow. Second, using AI to run influencer marketing better — creator matching, warmed-account outreach automation and campaign coordination that let a KPI offer reach the whole market at once instead of trickling out through manual DMs.

Builder-educators, consistently. Demonstration converts where advertising does not, so the creators who walk through a workflow, integrate a tool into something they were already building, or compare it honestly against alternatives outperform creators with larger but more passive audiences. That also shapes format selection: long-form walkthroughs and workflow integrations over quick shout-outs, because AI buyers watch before they sign up.

Matching and coordination — not the relationship. AI ranks the creator map against your audience and campaign brief, and automation handles the initial KPI offer across warmed accounts at market scale. Everything after a creator responds is human: negotiation, brief, deliverables, measurement. The automation exists so a performance-based offer can reach thousands of relevant creators in the time a manual process reaches dozens.

Each deal names the deliverable, the metric it is measured on, and the measurement source, agreed before anything ships. Creators who normally charge flat rates accept the structure because the ceiling is higher when the metric lands. From your side it means budget follows outcomes: campaigns that underperform cost less than campaigns that work, and the weekly report shows cost per outcome per creator so the bottom of the table gets replaced rather than renewed.