X7

Most influencer selections are made with a presentation sheet that shows results but does not explain how they were achieved. That sheet lets you compare reach between profiles, and little else.

X7 exists to replace that comparison with an analysis: what that creator does, why their audience listens to them, and whether their way of working is compatible with the brand that wants to hire them.

C.O.N.T.E.N.T., Mashin's model, describes how a creator produces content for their audience, across seven dimensions: character, omnichannel approach, narrative style, principles, engagement style, niche and themes.

Each dimension is analyzed by several specialized agents, and the full system adds up to 89. The character dimension, for example, works with twelve: sources of influence, archetypes, tone of voice, relationship style, lifestyle, projected socioeconomic level, cultural roots, opinion on traditional media, posturing, tag cloud, consistency and declared enemy.

X7 analyzes the brand with the same model it applies to creators. It studies how the brand generated content in past campaigns and how it can generate it in the current one, and builds a profile comparable to an influencer's.

That step is what makes the match possible. Without a brand profile built with the same logic, the comparison would be between a detailed description and a hunch.

X7 also applies a set of hard filters before considering a profile: family friendliness and brand safety, audience quality, engagement rate, active social channels, minimum reach and demographic data.

Brand safety and family friendliness monitoring uses a Mashin prompt of its own and several AI tools. It is the filter that rules out first, because no creative fit makes up for a reputational risk.

C.O.N.N.E.C.T., Mashin's model, crosses the two profiles across seven criteria: core-trait compatibility, omnichannel strategy, narrative connection, tone naturalness, engagement style, creative alignment and target match.

That cross produces three answers, and all three matter. The points in common, which show where the collaboration will feel natural. The dissonances, which anticipate where the content will sound forced and the audience will notice. And the opportunities, which point to where that creator can take the brand into territory it has not reached yet.

Every stage that involves AI agents includes human review to correct possible hallucinations from the tool. Those corrections feed back into the agent, so the system gets sharper with every use.

That detail also explains why the same agent is used for every profile Mashin analyzes: it keeps a balanced perspective across creators and reduces the evaluator's bias.

X7 classifies each campaign from the creator's point of view into three categories: positive, those that build their influence over their audience; neutral, those that add no value beyond the paycheck; and negative, those that can damage their reputation.

That analysis is no courtesy. A creator who accepts campaigns that wear them down loses influence, and the brand that later hires them buys less than it thinks it is buying.

X7 combines three sources. Mashin's own data, data provided by the brand's marketing team, and third-party data through Klear and other measurement platforms.

All proposed profiles are also audited with Klear, so the qualitative analysis sits alongside performance metrics a third party can verify.

An X7 analysis returns each creator's profile with a score per dimension, the brand's profile built with the same model, the matching result criterion by criterion, and the proposed profiles with their rationale.

It also feeds work that is not about selection: analysis of the brand's social media positioning, defining territories to work with talent, and creative insights for influencer campaigns.