Matching the same creator across platforms looks simple from the outside, but it isn't. Usernames change, biographies are edited, profile pictures get reused. No single signal is reliable on its own, so dozens of signals are weighed by source, and a match is confirmed only when the evidence agrees. The steps below walk through how this works.
Links and profile data are drawn from every publicly available source. Bio links, captions, link-in-bio tools, and critically, web search results that verify each creator's online presence across platforms.
His Instagram bio has a Linktree that links to his YouTube and TikTok. His YouTube channel description links back to his Instagram. A web search turns up a fourth profile and a personal blog that links to all of them. That gives us six or more links across three or more independent sources, which is a very strong signal.
Each link is weighted based on the source it came from, and the signal strengthens when multiple independent sources agree. For example, a Web Search result and a bio link pointing to the same profile yield high confidence.
Every link becomes a weighted connection on a map. The weight depends on where the link was found and whether multiple sources confirm it. Reciprocal (two-way) links carry the most weight.
Connected profiles form a "cluster": a group that likely belongs to the same person. Each cluster is scored based on how tightly connected it is. Reciprocal links and dense, multi-source connections produce higher confidence.
3 platforms, all reciprocal
Web search + bio agree
1 one-way link, no TikTok
Single source only
For every linked profile, we add weights and look for matches across 6 key dimensions: first name, same profile picture, gender, location, bio/captions text, and niche. The more dimensions that align, the stronger the match.
All the signals (link sources, cross-verification, and the six profile dimensions) are combined by our algorithm to determine which profiles most likely belong to the same creator. Only high-confidence matches are returned, and any profile that drifts from the rest of the cluster is removed before the result is published.
A linked group of profiles is only published as a single creator when the profiles agree on the core identity signals: first name, location, language, and the broader content niche. When one profile in a candidate cluster disagrees on those signals, it is removed before the match is finalised. This prevents fan pages, namesakes, and mistaken web search results from contaminating a real creator's identity.
Profiles that agree on first name, location, language, and content niche, and are connected by multi-source link evidence.
Profiles linked by a single weak signal but disagreeing with the cluster on identity attributes. Removed before the match is published.
A complete example showing how all six steps produce a confident, verified match.
All four profiles belong to the same creator, verified by multiple independent sources and six profile dimensions.
Every match published goes through the same two-track validation process used for every data point on this site: at least two independent AI sources cross-checking tens of thousands of records, plus manual review of at least 1,000 records per subset.
By combining Web Search results, multi-source cross-verification, weighted graph analysis, and six-dimension profile comparison, we produce a complete and reliable map of each creator's accounts across platforms.