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Archetype vs
Frontify

Frontify keeps a large brand’s guidelines and assets in order. Archetype turns the brand into parts agents build with, served to every AI tool your team uses.

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Archetype

A brand system agents build from

Tokens, components and templates as code, served to every AI tool your team uses.

Frontify

Brand management for large teams

Guideline portals, a full asset library and print-ready templates, now with an MCP server.

Feature by feature

Build

  • Import from Figma or code
    Yes
    In part
  • Colors and type
    Yes
    Yes
  • Structured tokens
    Yes
    In part
  • Components as code
    Yes
    No
  • Templates
    Yes
    Yes
  • Print production
    No
    Yes
  • Voice and messaging
    Yes
    Yes
  • Guideline site
    Yes
    Yes
  • Asset library
    In part
    Yes
  • Licence tracking
    No
    Yes

Use

  • Works in any AI tool
    Yes
    Yes
  • Agents edit the brand
    Yes
    In part
  • Brand check
    Yes
    In part
  • Sync with your repo
    Yes
    No
  • Checks in CI
    Yes
    No
  • Integrations
    In part
    Yes

Manage

  • Approval workflows
    In part
    Yes
  • Roles and permissions
    Yes
    Yes
  • Single sign-on
    In part
    Yes
  • Yes
  • In part
  • No

Frontify as its help center, product pages and Kitchen describe it, in October 2026. Something here out of date? Write to support@heyarchetype.com.

Only in Archetype

  • Components as code

    Real HTML and CSS on your tokens, so agents reuse the button instead of drawing a new one.

  • Component kits

    Start from shadcn/ui, Radix, Material, Mantine, Chakra or Ant Design.

  • Paste a component

    Drop in HTML and CSS and it becomes part of the brand.

  • Pull requests on change

    Retune a token and your repos get a pull request with it.

  • In CI

    Fail a build when a page drops below your score.

Already on Frontify?

Keep it for your asset library, print and approvals. Archetype sits beside it as the part agents build from: tokens, components and templates as code, served to every AI tool your team uses.

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