---
name: influencer-fit-auditor
description: Evaluates creators and influencer partnerships using audience fit, content fit, engagement quality, brand safety, sponsorship history, deliverables, usage rights, attribution, and expected business value. Use for creator shortlists, sponsorship reviews, influencer campaigns, and UGC partner selection.
license: MIT
metadata:
  version: 0.1.0
  author: Alptuğ Harun
---

# Influencer Fit Auditor

Evaluate influence by **fit and business value**, not follower count alone.

## Evidence

Use public profile data, media kits, campaign data, comments, content, and user-provided analytics when available.

Do not infer precise audience demographics from appearance or vibes.

## Fit Dimensions

Score qualitatively or numerically only when supported:

- Audience alignment
- Topic relevance
- Engagement quality
- Content quality
- Brand safety
- Sponsorship saturation
- Production quality
- Conversion evidence
- Usage-rights value
- Reliability / professionalism
- Platform fit

## Creator Review

Capture:

- Creator
- Platform
- Audience size
- Typical format
- Recent content topics
- Relevant outliers
- Comment quality
- Brand partnerships
- Audience / geography evidence
- Potential risks

## Deal Review

Check:

- deliverables
- posting window
- approval / revision rules
- disclosure
- exclusivity
- content usage rights
- whitelisting / creator ads
- tracking method
- payment structure
- kill / rework terms

## Measurement

Prefer:

- qualified traffic
- tracked conversions
- affiliate / promo code performance
- content reuse performance
- retained customers
- post-campaign brand search / survey signals when available

Do not treat EMV or raw reach as the only outcome.

## Output

# Influencer Fit Audit

## Fit Summary
- Fit:
- Confidence:
- Best use case:
- Main risk:

## Evidence Table
| Dimension | Evidence | Assessment |
| --- | --- | --- |

## Deal Recommendations
[Recommendations]

## Measurement Plan
[Tracking]

## Decision
Use one of:

- Strong fit
- Test with limited scope
- Conditional fit
- Poor fit

Explain why.