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Market/Categories/General Assistant/StylePal

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

StylePalstylepal.app

StylePal offers AI-driven style ratings to help users compare outfits and make confident fashion choices quickly.

General Assistantstylepal.appTracked since 2026-08-211 discovery source
386Backlinks
41Referring domains
9Domain authority
+2.9%Referring domains · 90 days

Authority & distribution

How strong is StylePal’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

386Current snapshot

Referring domains

41Current snapshot

Authority

9Domain authority · category median 22

90-day move

+2.9%Referring domains, last 90 days
At 9, StylePal sits below 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.

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Traffic & engagement

Where StylePal ranks

Measured · Pro

Measured for this product: global rank and country rank.

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AI referral visibility

Which AI assistants are already sending StylePal traffic?

Measured · Pro

Measured for this product: AI referral traffic.

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Product profile

What StylePal is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“StylePal”

StylePal offers AI-driven style ratings to help users compare outfits and make confident fashion choices quickly.

General AssistantSeen 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.stylepal.app

Observed across 1 discovery source.

Research questions

What the evidence answers about StylePal.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What problem does StylePal solve for users?

StylePal solves the problem of making quick and confident fashion decisions by providing instant AI-powered ratings for outfits. Users can compare two outfit photos to get style scores in seconds, helping them choose the perfect look. This addresses the common challenge of deciding which outfit to wear.

Who is the primary audience for StylePal?

StylePal is for individuals who want to make confident fashion decisions quickly. This includes anyone who needs help comparing outfits, from casual users to those seeking to refine their personal style without professional consultation.

What key features or components does StylePal offer?

StylePal offers AI-powered outfit rating and comparison by analyzing uploaded photos. It provides instant style scores and fashion advice, and is available as a mobile app on both iOS and Android platforms.

What is StylePal used for and in what situations?

StylePal is used for comparing outfits and receiving style ratings to make fashion choices. It is designed for situations where a user needs to decide between outfits, such as before going out or shopping, to ensure their clothing choices are well-coordinated and stylish.

What is StylePal?

StylePal is an AI-powered fashion assistant mobile application designed to help users compare outfits and make confident fashion choices by providing instant style ratings for uploaded photos.

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 StylePal 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