The pricing page gives credits per month (200, 1,000 or 4,000) but not what an image or video costs in credits, so you cannot tell from it how many ads a plan produces.
e-commerce brands and performance marketers who want AI-generated image and video ads launched and measured across Meta, Google, TikTok and other channels from one place.
you need a predictable number of ads per month before you buy, you manage more than five brands without an enterprise contract, or you only need simple static banners.
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✓ Pricing re-verified 9 Oct 2026
Lite is $29 a month with 200 credits a month, 1 brand, 1 team seat and 1 connected ad channel, plus insights, AI product image and video generation, the ad and campaign launcher and brand rules. Pro is $249 a month with 4,000 credits, 5 brands and 5 seats, and adds AI scoring with recommendations, long-form storyboard videos, character replacement and creative expert ad packages. Enterprise is custom and adds training on your first-party data, custom integrations, dedicated success, an SLA with IP assignment and media-buying services.
Read on 9 October 2026: Lite $29 a month (200 credits), Standard $99 (1,000 credits), Pro $249 (4,000 credits), Enterprise custom. All plans have a 7-day free trial.
The pricing page does not say how many credits an image or video uses. Test it in the 7-day trial.
Its site lists Meta, Google, LinkedIn, TikTok, Reddit, Pinterest, YouTube (through Google) and OpenAI Ads for launching, and X for insights only.
Usually yes for the major platforms, but check yours specifically. Tools in this class typically ship native connectors for the big CMS, CRM and email platforms and fall back on Zapier, webhooks or an API for everything else. The practical question is whether your stack is on the native list or needs glue, because a missing native connector normally means either manual work or a paid middleware layer. Check the integrations page for your exact tools before you buy.
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Reviewed marketing tools that share ground with Omneky — comparable in what they do, not drop-in swaps:
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