LinkedIn has begun rolling out a brand kit feature within Campaign Manager that allows marketers to define core brand assets, which the platform’s artificial intelligence tools then apply when drafting ads.

The feature, currently available only to select accounts, lets users set a color palette, heading and body fonts, and a brand voice description. “Brand kit in Campaign Manager allows you to set your brand’s core assets such as color palette, fonts, and brand voice to help your ads stay consistently aligned with your brand,” LinkedIn said in its help documentation.

Automatic Brand Voice Assembly

When marketers access a brand kit for the first time, LinkedIn automatically generates a brand voice based on signals from the company’s existing LinkedIn presence, including past content and the Company Page. Users can edit or delete any auto-generated fields to override the platform’s suggestions, and those changes carry forward to future ads.

LinkedIn advises marketers to be specific about the do’s and don’ts of their brand voice, noting that greater specificity helps AI-drafted ads feel more authentic. If LinkedIn cannot assemble an automated brand kit due to insufficient brand signals, such as no website on the Page or limited organic posts, users can configure the brand kit manually. Brand kits are not required to create ads.

LinkedIn frames the feature’s core purpose around consistency and time savings. “Brand kits can save you time and reduce off-brand mistakes by ensuring AI-drafted ads and assets are on-brand without manual rework,” the company said.

Format Support and Access

The single-image ad format is currently the only ad format compatible with brand kit. Marketers access the tool through the Assets section of Campaign Manager and can optionally apply a media template using their selected brand kit settings before launching an ad set.

Source: Anthony Blatner

The feature’s rollout was first publicly noted by LinkedIn ads expert Anthony Blatner and subsequently reported by Social Media Today. LinkedIn’s documentation confirms the tool remains in limited availability, with no timeline announced for broader access.

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