Discovery is late
Creators usually notice lookalike content after it has already spread, often through comments, followers, or chance discovery.
Similarity insights for the AI content era
See when a video may be riding on someone else's blueprint.
ATTRI helps viewers and creators understand when videos closely resemble other videos using structured comparisons, similarity signals, and verified review. ATTRI adds context to support more informed viewing and review.
Signals analyzed
Title, thumbnail, timing, transcript
Trust layer
Human-reviewed verification
What users get
Visibility before they click
Possible Similarity • Viewer Context
ATTRI • Possible Similarity • 68%
Original video
Don't get left behind, ride the AI wave!
Inspired video
Ride the AI wave, don't get left behind!
76%
84%
63%
39%
The problem is not just copying. It is invisible pattern reuse at scale
AI has made it cheap to recreate winning thumbnails, hooks, timing structures, and framing. Viewers often cannot tell when they are being funneled into a slightly repackaged version of something they have already seen.
No shared visibility layer
There is no simple viewer-facing system that shows likely similarity before someone clicks deeper into a video rabbit hole.
Repeat patterns stay hidden
Without structured comparisons and review history, recurring channels and repeated blueprint behavior stay fragmented and hard to track.
ATTRI turns fragmented signals into structured, reviewable content
ATTRI starts with user-provided comparisons, compares visible signals, and adds human review so the output feels credible and useful. The result is a growing visibility layer for understanding related content patterns.
What ATTRI gives the ecosystem
Similarity insightsSignals such as title, thumbnail, timing, and transcript are compared in one view.
Verified review layerComparisons can be assessed by people before they become trusted public context.
Viewer-facing surfacingExtensions and future integrations can show context where it matters most, at the point of viewing.
Long-term attribution datasetEvery verified relationship helps build a stronger record of how content gets remade across channels.
4 signals
Title, thumbnail, timing, transcript
1 workflow
Input → analysis → review → visibility
Human checked
Built for trust instead of blind automation
Extension ready
Designed to surface context directly on YouTube
How it Works
Install the extension, submit a comparison, and see similarity signals directly on YouTube. ATTRI makes it easy to understand how content relates—at a glance.
1
Submit a comparison
The suspect video url is auto capture when watching. Add the original video url and submit it for analysis.
2
ATTRI adds a signal
If similarity is high, a pill appears directly on the video for everyone with the extension.
3
View the comparison
Click the pill to view how the suspect video compares to the earlier source
4
Human review adds trust
Reviewers validate patterns before they become trusted context
Built for creators, useful to viewers, valuable to platforms.
ATTRI is the beginning of a clearer content relationship layer for the AI content era.
For creators
A structured way to document resemblance, build a record, and stop starting from zero every time a pattern repeats.
For viewers
More context before clicking, so attention can go to originality instead of only to whatever was repackaged fastest.
For platforms and partners
A growing dataset of reviewed relationships that can inform integrity tooling, moderation support, and future ranking signals.
Join early access
We are building the visibility layer for the AI content era. If you are a creator, platform partner, investor, or early supporter, join the waitlist and get first access as ATTRI rolls out.
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