Linkster Discovery combines multiple search methods, including topic-based and content-based AI search, with proprietary performance data and historical brand collaboration data. This allows you to identify creators based on audience fit, content relevance, and proven performance, not just surface-level metrics.

Performance Insights go beyond public metrics like followers or engagement. Linkster uses proprietary data of millions of cooperations to show how influencers perform in real campaigns, including clicks, conversions,, ROAS, and AOV metrics - enabling data-driven creator selection.

Linkster Discovery combines publicly available data from social media platforms (e.g. Followers, Likes, Comments) with proprietary performance data collected across campaigns and audience data. This creates a deeper, more reliable foundation for evaluating creators.

Traditional databases focus mainly on publicly available and searchable data, such as e.g. follower counts and engagement. Linkster Discovery adds performance data, an influencer content hub, and historical brand collaborations - allowing you to assess whether a creator actually drives results, not just attention.

There are no limits on influencer lookups. You can analyze and compare as many creators as you want across all markets and niches without caps or usage restrictions.

Yes. Discovery is often used as a starting point to build an influencer pool, understand the landscape, and identify suitable creators before launching campaigns.

Yes. You can build and manage reusable influencer pools in form of watchlists, making it easy to shortlist creators and activate them later in campaigns.