Over the past few years running creator programmes across beauty, food, fashion, and lifestyle brands, we have vetted thousands of creators. The single biggest mistake brands make is treating creator vetting as a two-step process: check follower count, check niche. That is not vetting. That is filtering. The difference matters enormously — filtering produces a list of creators who could theoretically post about your brand. Vetting produces a shortlist of creators who will produce content that performs.
Why Follower Count Is the Wrong Starting Point
Follower count tells you one thing: at some point in the past, enough people found this creator interesting enough to click follow. It says nothing about whether those followers are still watching, whether they trust the creator's recommendations, or whether they bear any resemblance to your target customer. On TikTok specifically, follower count has been further degraded as a signal because the algorithm distributes content based on engagement performance — a creator with 8,000 followers can reach 500,000 people on a single video if the content performs.
The proxy metrics that actually predict UGC performance are comment quality, content consistency, save rate, and what we call category depth — how specifically the creator operates in your product's space. A general lifestyle creator with 200,000 followers is a weaker bet than a food creator with 18,000 followers who has built a specific community around trying and reviewing new sauces and ingredients.
The Five-Layer Creator Vetting Framework
Layer 1 — Engagement Rate (The Floor Check)
Before anything else, calculate actual engagement rate. For TikTok: (likes + comments + saves + shares) ÷ views. For Instagram: (likes + comments) ÷ followers. Engagement rate establishes whether an audience is active or ghost. Any creator below these floors should be deprioritised regardless of other signals.
Layer 2 — Comment Quality (The Trust Signal)
Engagement rate tells you whether people respond. Comment quality tells you whether they trust. Open the last 10–15 posts and read the comments. You are looking for three things: specificity (comments that reference the actual content, not generic reactions), questions (an audience asking follow-up questions is an audience that considers the creator a reference), and purchase evidence (comments like "just bought this" or "ordering now" are the highest possible trust signal).
- ◆Green flag: "I've been looking for something exactly like this, does it work for oily skin?" — specific, question-based, purchase-intent
- ◆Green flag: "I bought this last week because of your video, already seeing results" — confirmed conversion evidence
- ◆Green flag: Creator responds to comments regularly — signals they are building a community, not broadcasting to one
- ◆Red flag: Majority of comments are single emojis or "great post!" — signals low genuine engagement or bot activity
- ◆Red flag: Comments are turned off or heavily filtered — often indicates the creator has had engagement quality issues
- ◆Red flag: Comment-to-like ratio is below 1:100 — normal range is 1:50 to 1:30 for genuinely engaged audiences
Layer 3 — Content Consistency (The Commitment Signal)
Look at the last 90 days of content. Are they posting consistently — at least 3–4 times per week on TikTok, 4–5 times per week on Instagram? Have they posted in your category at least 3–5 times in that window? Creators who post sporadically, or who rarely touch your category, are high-risk seeding targets. You are sending product hoping they post — inconsistent creators often do not post even when they intend to.
Layer 4 — Category Depth (The Credibility Signal)
Category depth is the most underrated vetting criterion and the most predictive of conversion performance. A creator who regularly reviews skincare products has an audience that has opted in specifically for skincare recommendations. When that creator posts about your product, the audience is primed to receive it. A lifestyle creator who occasionally posts about skincare has a general audience — less receptive, less trusting, less likely to act.
Layer 5 — The Aesthetic and Brand Fit Check
The final layer is subjective but important: does this creator's visual aesthetic, tone, and values match where you want your brand to sit? A premium skincare brand seeding to a creator whose content is low-production and chaotic may get content that actively harms brand perception — even if the engagement metrics look good. The brief can guide content, but you cannot brief away an aesthetic mismatch. Choose creators whose existing content is close to what you want the brand to produce.
Red Flags That Kill a Creator Relationship Before It Starts
- ◆Unrealistically high engagement rate (above 20% on TikTok) — often indicates a recent viral post skewing the average. Look at median engagement across the last 30 posts, not the peak
- ◆Follows-to-following ratio is near 1:1 — indicates follow-for-follow growth tactics, not organic audience building
- ◆Profile bio reads like an agency pitch — "content creator | DMs open | collab inquiries below" with no voice or personality is a signal the account is primarily monetisation-focused
- ◆No negative comments anywhere — real audiences disagree sometimes. Creators who heavily moderate comments may be hiding negative product experiences
- ◆Posts branded content constantly — an audience that sees three sponsored posts per week has trained itself to scroll past promotions
- ◆Inconsistent posting gaps — a creator who vanished for six weeks last quarter will likely vanish again after receiving your product
The Fast Shortlisting Process in Practice
A practical vetting session runs like this: start with a category-relevant hashtag search or creator search tool to build a raw list of 80–100 candidates. Apply the engagement rate floor immediately — this typically cuts the list to 40–50. Then spend 3–5 minutes per creator on comment quality and content consistency review — you are looking for disqualifiers, not deep analysis. After this pass, you typically have 20–25 candidates. The aesthetic and brand fit check is a quick yes/no on each. You land on 12–18 strong candidates from 100 prospects.
The goal of vetting is not to find perfect creators. It is to remove bad bets efficiently so you can seed to a pool where even the underperformers post something usable.
— Slow Oak Labs, Creator Operations Guide 2026
The Creator Engine Starter activates your first 15–20 vetted creators in 30 days — sourcing, vetting, outreach, and first content cycle managed for you. From $4,500.