Typeface has rolled out a batch of updates to its marketing orchestration platform, centered on major upgrades to its Ad and Video agents alongside new webpage analytics and more granular image editing. The June release, detailed in the company’s monthly Feature Focus, also offers enterprise marketing teams an early look at two forthcoming capabilities aimed at closing the gap between content creation and campaign performance.
Automated Ad Resizing Targets the Multi-Channel Bottleneck
The headline addition is a new ad resizing feature within Typeface’s Ad Agent, designed to address a persistent pain point for performance marketers: adapting a single approved creative to the varying specifications of numerous ad channels. Rather than requiring teams to read each platform’s guidelines and rebuild layouts manually, the tool takes one approved asset and generates compliant variants across channels, reading the safe zones and placement rules for platforms including Walmart and Amazon.
Typeface has built in a human checkpoint before scaling. Marketers upload their channel guidelines once, approve a set of seed layouts, and only then does full generation proceed. The company notes that mid-flight edits are also streamlined—a single change to copy or creative on the canvas pushes across every banner variant at once, with brand font and color rules traveling with the asset to preserve compliance for platform review.
The feature is being released on a limited basis, with Typeface directing interested customers to a waitlist managed through their Engagement Managers.
Video Agent Adds Scene-Level Editing and Generative Music
Typeface has also introduced Agentic Video Composer within its Video Agent, giving creative teams the ability to turn a brief or existing footage into a finished, brand-compliant video with scene-by-scene control. The tool constructs video at the scene level, allowing users to swap, replace, reorder, or retime an individual scene without rebuilding the entire cut.
Teams can work in two ways: generating a video from a prompt or their own assets—complete with outline and storyboard, and with no length cap on generated videos—or uploading long-form footage and letting the agent assemble a highlight reel. The feature incorporates generative music through Google’s Lyria model, which reads a video’s duration and tone to produce a fitting track. Notably, brand standards are applied to generated scenes, text overlays, motion, and transitions as they are created rather than flagged in post-production review. A single outline produces the formats needed across channels, including 9:16 for Reels, TikTok, and Shorts, 16:9 for YouTube, and 1:1 for LinkedIn and Meta.
Built-In Analytics and Layered Image Editing
Two additional updates target the friction between publishing and iteration. Typeface’s Web Agent now includes native webpage analytics: marketers add an analytics script once, and Typeface applies it to every published page, surfacing page views, visitors, clicks, and engagement over time. Because publishing happens independently of a customer’s CMS, teams can spin up landing page variations to pair with different ads or emails and test them on their own schedule.
Within Image Agent, Typeface has added the ability to decompose flat exported images into editable elements, so users can swap a logo, update text, or adjust a single component while leaving the rest of the composition intact. Version history is now available for images as well, allowing teams to revert edits.
Additional Enhancements Across Email, Chat, and Agents
The release includes several smaller updates relevant to marketing operations. Email workflows now support automatic citations and footnotes drawn from a file of approved claims, responsive previews for mobile and desktop rendering, and SMS copy generation alongside email campaigns. Typeface’s chat interface, which has been redesigned to be searchable, now handles multi-step task queues and section-level document editing without regenerating surrounding content. Other additions include the ability to define individual voices (such as a CEO or named persona) beneath company brand rules, scheduled and status-triggered runs for custom agents, and external tool triggers that let events in other systems automatically initiate steps inside Typeface.
A Preview of Closed-Loop Optimization
Typeface used the release to preview two innovations slated for the summer. Arc Loop is positioned as a move toward campaign optimization, feeding performance signals directly back into a brand’s context so that each campaign can build on what worked previously—an attempt to close what the company describes as the “open loop” common to AI marketing tools, where content and its performance data live in separate places. Chat Cowork, the second preview, is designed to let teams hand off complex, multi-step tasks and return to finished work, with the system planning the job, breaking it into steps, and holding context throughout.
Industry Context
Alongside the product updates, Typeface pointed to its latest Signal Report, “The AI Speed Paradox,” which found that 93% of marketing leaders feel pressure to move faster because of AI. The report examines why campaign timelines continue to stretch even as teams adopt more AI tooling—context that frames Typeface’s broader positioning as a marketing orchestration engine built around connected enterprise workflows.
