Our 2026 half-year report is out — what creator programmes returned in H1
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All innovations

Brand-fit AI

On-brand creators, on any market — found by the content itself.

The problem today

Your team can name every right creator in your home market. In the next market, casting runs on agency lists and follower counts — and the brand feel is the first thing lost.

What Brand-fit AI changes

It learns your taste from the creators you have already approved, then finds their content-twins on any market. The casting scales — the brand does not drift.

01 — The scaling problem

Any market, same taste.

Most brands know creators in their home market — and almost nothing beyond it. That is the real scaling problem in influencer marketing. Brand-fit AI casts from the content, not from familiarity: every profile in our index is scored against what is already on-brand for you, whether it posts from Stockholm, Seoul, or São Paulo.

02 — Brand equity

Stay inside your universe.

An off-brand creator costs more than a weak post — it erodes what the brand means. Brand-fit AI keeps every casting inside your aligned creator universe, so reach never comes at the price of long-term brand equity. What drifts off-brand is set aside, with the reason attached.

03 — How it learns

It learns from the creators you approve.

The model ingests the content of creators your brand has already approved — image, video, audio, and text — and learns what on-brand actually looks like for you. Then it finds creators making the same kind of content, wherever they post from. Every approval sharpens the next search.

See your creator universe