AI Influencer Vetting

AI influencer vetting is the automated analysis of a creator's channel, audience and content against a brand brief — replacing the days of manual profile-scrolling, comment-sampling and spreadsheet-building that traditional influencer vetting requires. CreatorMap runs a full AI vetting report on every creator you open: reach and engagement quality, audience demographics, brand-safety flags, campaign alignment, recent sponsors, and an estimated rate card — all rendered in seconds so you can shortlist or reject with evidence rather than a gut call.

Most failed influencer campaigns fail at the picking stage, not the execution stage. A creator with impressive follower counts can still hide low engagement, a mismatched audience, undisclosed sponsorships, or brand-safety flags that only surface after the money's spent. AI vetting compresses what a diligent marketer would take a full day per creator to check into a report that renders in seconds — so you shortlist on evidence, not vibes, and catch the deal-breakers before you send the outreach.

CreatorMap's vetting engine ingests the most recent uploads on a creator's channel, transcribes and semantically analyses the content, calculates engagement quality against niche-normalised baselines, models audience demographics from platform signals, and cross-checks brand-safety indicators across the reviewed catalogue. It then scores alignment against the brief you loaded — brand, product, and target market — and produces a Strong Fit / Moderate Fit / Weak Fit verdict with the reasoning behind it. The whole report is deterministic, auditable, and re-runnable if the brief changes.

Every vetting report includes: headline stats (subscribers, median views, engagement rate, primary country), a 10-video views sparkline with growth trend, interaction rates (like, comment, engagement) benchmarked against niche baselines, content metadata (upload cadence, average duration, channel age, view rate), topic and keyword extraction, recent sponsor detection, and an estimated pre-roll / mid-roll / end-roll rate card with configurable deal modifiers (exclusivity, usage rights, whitelisting, rush, bundle). Layered on top: five AI narrative sections — reach, engagement quality, campaign alignment, audience fit, and brand safety.

Yes. Every vetting report models audience age, gender, geographic distribution and interest breakdown from a combination of platform-provided signals and inferred audience data. This lets you confirm the creator's viewers actually overlap with your target customer — the single most common reason influencer campaigns underperform — before you commit budget. Audience fit is called out explicitly in the narrative section of the report so non-analyst stakeholders can read the verdict without interpreting raw percentages.

Yes. The vetting engine looks for anomalous engagement patterns across the reviewed video set: sudden like/view spikes inconsistent with subscriber count, low-signal comment reactions, comment sentiment that doesn't match topic-driven discussion, and view rate outliers vs the niche baseline. Where the pattern indicates artificial inflation, the report calls it out in the Engagement Quality section rather than surfacing a raw percentage that would give a false sense of confidence.

Brand safety is scored across the reviewed catalogue for: content policy violations, demonetisation history, controversy signals, comment moderation consistency, stance on political and social topics, and the quality and disclosure of prior sponsored content. Where any flag surfaces, the report explains what was detected and its likely relevance to a co-branding decision — so you can make a policy call rather than being blindsided after launch.

Yes. Every report includes an estimated rate card benchmarked against niche, geographic tier, subscriber tier and engagement band — with conservative, market, and premium ranges for pre-roll, mid-roll and end-roll placements. You can toggle deal modifiers (category exclusivity, usage rights, whitelisting, rush turnaround, multi-video bundles) to see how the rate shifts. Cost per view and cost per engagement are shown live. Estimates are indicative — actual rates vary by brand, negotiation and creator — but they give you a defensible anchor before you open a rate conversation.

CreatorMap vets creators across YouTube, TikTok and Instagram. For any indexed creator, cross-platform handles are linked in the profile so you can extend a single vetting decision across their full footprint. YouTube has the deepest vetting layer today — full content transcription, upload cadence and engagement benchmarking — because that's where semantic analysis is most reliable. TikTok and Instagram vetting focus on engagement quality, audience fit and brand-safety signals.

Creator data is refreshed on a scheduled AI pipeline — daily for the most active channels. Every vetting report is timestamped so you know exactly how current the underlying data is, and reports can be re-run against the latest data at any time. This matters because creator audiences shift: a channel that vetted as a Strong Fit six months ago may have declined or drifted in content focus, and a rising creator may now hit thresholds that would have disqualified them last quarter.

Yes. Every vetting outcome — verdict, headline metrics, alignment score and narrative summaries — can be exported alongside your shortlist as a CSV, and shared with agencies, clients or internal stakeholders. This gives you an auditable paper trail behind every creator recommendation, which matters when a campaign needs sign-off from a brand director or legal reviewer who wasn't in the room when the shortlist was built.

A diligent manual vet — scrolling recent uploads, sampling comments, cross-checking sponsors, modelling audience overlap, benchmarking engagement, building a rate estimate — takes a skilled marketer four to eight hours per creator. AI vetting renders the same report in seconds and applies the same benchmarks to every creator, so a shortlist of 30 creators is comparable side by side rather than reviewer-by-reviewer inconsistent. Manual expertise still matters for the final call — AI vetting hands you the evidence, you make the pick.

Yes. The 14-day free trial requires no credit card and includes 50 tokens — vetting reports cost 10 tokens each, so a trial lets you run several full vets end to end. Plans start at €99/month with 1,000 tokens included, and you can top up tokens or upgrade at any point without losing your shortlisted creators.