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Influencer Discovery

Vet creator authenticity

Paste their numbers. Naise reads follower patterns, engagement ratios and comment quality together, and gives you a single verdict with the reasoning behind it.

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InstagramTikTokUser ProfileCreator DB

The brief Naise works from

We are considering partnering with creator on platform. Their stats: followers followers, average likes average likes, average comments average comments. Assess whether the engagement looks authentic. Check for sudden follower spikes, generic or repeated comments, a comment-to-like ratio outside the normal band for this size, and any mismatch between audience geography and their content. Give one overall rating of red, amber or green, and explain what drove it. List every signal you could NOT check from what I gave you, and say which of those would most change the verdict.

Highlighted words are the blanks you fill in. Leave one empty and Naise uses a sensible default.

Authenticity check

@mei.routine, amber

Clean follower history, but a comment-to-like ratio outside the normal band, with two competing explanations.

Verdict: amber1:71 comment-to-like4 signals unchecked
See the full output in the session

Inputs it asks for

creator

For example: @mei.routine

platform

For example: Instagram

followers

For example: 48,000

average likes

For example: 2,900

average comments

For example: 41

Worth knowing

One red, amber or green verdict from all the signals together. The separate playbooks are still better when you want the underlying number: true engagement rate, or the follower-pattern flags on their own.

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