Organize possible mentions
Review detected brands, snippets and URLs without reading dozens of descriptions manually.
Extension research
Study sponsorship patterns without pretending estimates are contracts.
TubeLeader examines public video descriptions and sponsor-language signals to organize possible brand mentions, deal categories and cadence into a researchable view.
Spot who is getting sponsoredBrand links pulled from descriptionsPatterns across a whole niche
Public-data research
Transparent estimates
Plan-aware access
Website + Chrome workflow
What it helps you do
Move from scattered signals to a useful research brief.
TubeLeader brings the relevant public facts, calculated ratios and clearly labeled estimates into a workflow built around the decision you are trying to make.
Separate self-promotion
Owned-domain signals help reduce false brand detections caused by a creator promoting their own products.
Observe cadence
See how frequently sponsorship-like signals appear across the sampled uploads.
A focused workflow
Three steps from question to evidence.
Use the shortest research path that answers the question, then verify the important conclusions manually.
Open a channel in YouTube
Use TubeLeader’s Sponsorship tab on the channel page.
Review the detected evidence
Inspect mention snippets, domains, deal types and the analyzed video sample.
Treat outputs as research signals
Verify findings manually before making commercial or reputational conclusions.
Good fit for
Research that ends in an original decision.
Strong creator research does not copy another channel. It uses comparable evidence to define a clearer audience, stronger hypothesis and more realistic test.
Creator-brand fit research
Agency market mapping
Sponsorship cadence study
Category-level commercial research
Questions, answered
Important details before you start.
No. Detection is heuristic and may include affiliate, self-promotional or non-paid references.
No. They are modeled ranges, not contract values or creator payouts.
The extension sends the public description-related fields needed for the request to the TubeLeader server for processing.
Start with a real question
Study sponsorship patterns without pretending estimates are contracts.
TubeLeader examines public video descriptions and sponsor-language signals to organize possible brand mentions, deal categories and cadence into a researchable view.