Perception is a color palette generator powered by color psychology AI. Create stunning color schemes and analyze existing palettes for mood-based insights.
Design & Productperception.ioTracked since 2026-08-211 discovery source
926Backlinks
163Referring domains
27Domain authority
+0.0%Referring domains · 90 days
Authority & distribution
How strong is Perception’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
926Current snapshot
Referring domains
163Current snapshot
Authority
27Domain authority · category median 22
90-day move
+0.0%Referring domains, last 90 days
At 27, Perception sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“Perception”
Perception is a color palette generator powered by color psychology AI. Create stunning color schemes and analyze existing palettes for mood-based insights.
Design & ProductSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.
Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://www.perception.io
Observed across 1 discovery source.
Research questions
What the evidence answers about Perception.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does Perception do and what problem does it solve?
Perception is an AI-powered color palette generator and analysis tool. It helps creative professionals take the guesswork out of design decisions by creating color schemes and analyzing existing palettes for mood-based insights.
What features does Perception offer?
Perception offers a color palette generator that uses AI to create custom palettes from prompts, a Palette Validator to analyze how well existing palettes match perceived moods, and a Palette Dictionary to explore mood-based palettes. The subscription-based Perception Studio provides unlimited access to these tools and a library of over 50 million AI-generated palettes.
How is Perception priced or packaged?
Perception offers a free tier where users can create a limited number of palettes without signing up. It also has a paid subscription tier called Perception Studio, which provides unlimited access to all generative AI color palette tools and its library.
Who is Perception for?
Perception is designed for creative professionals, such as designers and digital marketers, who need to make informed and impactful design decisions.
What is Perception?
Perception is a color palette generator and analyzer powered by color psychology AI, designed to help users create and evaluate color schemes for their design projects.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full Perception intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured