Kuli positions itself as an AI co-worker rather than another dashboard. You load your brand context once — pillars, prohibited topics, past campaigns, tone of voice — and every subsequent search, content read and outreach draft passes through that filter, which is what stops the output from feeling like generic AI copy. From there the agent runs three jobs between a brief and a live campaign: discovering creators, vetting them and handling the manual reporting work.
The core capability is content-level analysis rather than metadata filtering. Filters work on hashtags and follower counts; Kuli breaks down the actual video — hook, pacing, on-screen tone, audio, caption and audience response — across millions of posts, then reports the patterns that correlate with performance. Practical outputs include competitor and industry intelligence (what named rivals are posting and paying for this week), look-alike discovery based on aesthetic, audience overlap and posting cadence rather than follower count, and a trend radar that streams posts as they go live and surfaces formats before they reach your timeline.
The site also offers a set of free calculators for TikTok and Instagram engagement rates, influencer pricing and EMV, plus a glossary and blog in English and French. Beyond TikTok, Instagram and YouTube coverage, Kuli markets itself on replacing discovery, vetting, outreach and reporting in one place, with on-demand asks, scheduled routines and hourly refreshes running in parallel. A demo is required to see pricing, which is quoted based on team size and campaign volume rather than published on a public page.
