The influencer evaluation tool analyzes any creator by handle and platform, returning a composite Influence Score from 0 to 100 plus dimension-level breakdowns, OSINT-based red flag detection, and a brand fit assessment. Results are saved to your influencer database for future reference.
The Influence Score is a weighted composite across five dimensions, each scored independently:
Follower count, cross-platform distribution, and growth rate. Adjusted for platform norms — 10k on LinkedIn reads differently than 10k on TikTok.
Likes, comments, shares, and saves relative to follower count. High follower count with low engagement is a signal of low authentic reach.
Proportion of the follower base that appears genuine versus bot-inflated or inactive. Accounts with suspicious follower ratio or unusually high follow-back rates score lower here.
How closely the creator's content topics, tone, and stated audience demographics align with your brand's category and target audience.
Content safety signals — history of controversial posts, past brand conflicts, community guideline violations, or content patterns that create partnership risk.
Each evaluation includes an OSINT check for signals that suggest the creator's public profile does not match what they claim. Red flags detected include:
Red flags do not automatically disqualify a creator. They are surfaced as signals for you to investigate further before committing to a deal.
Two analysis depths are available:
Batch analysis runs basic analysis on multiple creators simultaneously, costing 2 credits per creator. Useful when you are narrowing a shortlist of 5 to 20 candidates before investing in deep analysis on the top two or three.
Influencer evaluation is available via the MentionFox API. The MCP tool name is evaluate_influencer.
Response includes influence_score, reach_score, engagement_score, audience_quality_score, brand_fit_score, safety_score, and an osint_red_flags array.
Open the Influencer tool, enter a handle, and run an analysis.
Open Influencer Tool