Adnova vs Planable
Side-by-side trajectory, velocity, and editorial themes.
Adnova is sharpening the path from ad creative to launched campaign.
Adnova is a paid-ad creative and launch tool. Recent releases cluster around the production-to-launch workflow: a Frame.io integration to pull approved assets without re-uploading, reusable ad-copy templates loaded from existing ads, placement configuration per ad size, and faster multi-creative launching via a grid view. A new UI shipped alongside a call for feedback.
The arc is workflow compression — removing steps between having creative and running it: fewer manual uploads, more reuse of what already works, and quicker launches across placements. Nothing here is a directional pivot; it's steady sharpening of the core launcher for paid-social teams.
Expect more launch-workflow automation and additional asset-source integrations, continuing to shorten the creative-to-live path.
Planable keeps widening channel coverage while bolting an AI and open-API layer onto its approval calendar.
Planable is a social-media content planning and approval workspace where teams draft, review, and publish across channels. Its recent work runs on two tracks: broadening per-channel format coverage (Facebook Stories, Google Business Profile video, LinkedIn mobile publishing) and building an AI-plus-programmability layer (MCP connector, public API, brand-voice context, AI-written ALT text, AI-search visibility analytics). The core calendar-and-approval loop is stable; new surfaces are being added around it rather than reworking it.
The pattern is Planable moving from a manual approval calendar toward a programmable, AI-assisted hub: nearly every new post surface ships with an AI or automation hook attached. The public API and MCP connector open the product to external tooling and agents, while workspace brand context makes its AI outputs client-specific. Analytics is expanding past measuring your own pages into competitor benchmarking and AI-search visibility.
Expect the remaining channels to pick up the same direct/mobile-publish and AI-generation treatment, and the AI features (brand context, ALT text, visibility) to reach deeper into the composing and reporting flow. The API and MCP surfaces suggest more integration and agent-facing capability rather than a pricing or positioning change.
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