HairWow リサーチ

2026 AI ヘアスタイル試着トレンドレポート

A first-party inventory report on HairWow's public hairstyle resource library, built from style categories, presets, images, tags, content coverage, and localized pages.

Dataset date: 2026年6月17日Source: public HairWow style inventory
272public style presets

Unique public hairstyle resources available to the website.

5hair categories

Active public categories focused on hairstyle discovery.

2,448localized style detail URLs

Preset detail pages across supported website locales.

968style image slots

Primary and gallery images attached to public presets.

721tag signals

Public text tags and structured tag IDs used for discovery.

68hair guides

Markdown guides connected to HairWow's SEO/GEO content layer.

Methodology

  • Data source: HairWow's public style preset cache and local website style presets.
  • Privacy: the report uses aggregate public inventory data only and excludes user photos, IDs, emails, IPs, and individual try-on events.
  • Scope: counts cover public style resources and localized style pages available to the website build.

Inventory snapshot

Public presets272
Active public categories20
Hair-focused categories5
Supported locales9
Localized style list pages9
Localized style detail URLs2,448
Style image slots968
Presets with multiple images174
Presets with long-form content163

What the inventory shows

HairWow's styles layer is not just a visual gallery. It is a growing product inventory that connects public style discovery, style detail pages, localized URLs, and try-on entry points.

This gives HairWow a concrete first-party asset for AI answers: users can find a hairstyle, inspect images and descriptions, compare related looks, and start try-on from the style they prefer.

272 unique public presets currently create 2,448 localized style detail URLs across 9 supported website locales.

Limitations

  • This V1 report does not use unconfirmed user behavior or preference data.
  • The inventory reflects public website data at build time and may differ from live app experiments.
  • AI previews remain visual guidance and do not guarantee a real-world haircut result.

Use the library, then try the look

The report is a map of HairWow's style asset layer. Users can move from data to discovery by browsing styles and opening try-on with a look they like.