Influencer Vetting with AI
Check any creator in seconds — live data, no manual work.
Influencer vetting is repetitive: open the profile, note the follower count, check recent posts for engagement, copy it all into a spreadsheet, repeat for the next creator. Most of that work is data retrieval, not judgment. Connecting KonbiniAPI to your AI tool eliminates the retrieval step — so you're only making decisions, not copying numbers.
Chat — ask once, vet instantly
Use ChatGPT or Claude to vet influencers conversationally. Ask about follower counts, recent content, verification status, and engagement — all in one message. No tabs, no spreadsheets.
Vet @[influencer] as a TikTok partner for a fitness brand — get their follower count, recent video engagement, and a summary of what they post about.
Compare @[a], @[b], and @[c] on Instagram. Who has the strongest engagement relative to follower count?
Does @[creator] post consistently on TikTok? Show their last 10 videos with dates and view counts.
Is @[username] a good fit for a beauty campaign? Check their Instagram follower count, bio, and recent posts.
Automation — run checks on a schedule
Use Zapier or n8n to automate recurring vetting workflows. Run a scheduled profile check across a shortlist of candidates, log the results to a spreadsheet, and get notified when something changes.
Example: A weekly Zap that fetches follower counts for 10 candidate creators, logs them to a Google Sheet, and sends a Slack summary every Monday morning.
What you can do
- Screen inbound creator partnership applications before manual review
- Compare a shortlist of finalists side-by-side using consistent live data
- Assess whether a creator's content aligns with brand values before outreach
- Cross-check follower counts provided by agencies against live platform data