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Riverflow

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AI creative platform that generates on-brand images, videos, and ads trained on your visual identity.

4.2
How we rateFreemiumImage Generation
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Pricing

Freemium

Free plan with 50 credits/day for one brand. Paid plans per the official help center: Starter $39/mo ($29/mo annual, 2,250 credits), Growth $99/mo ($74/mo annual, 6,000 credits), Scale $249/mo ($187/mo annual, 16,000 credits), Enterprise custom.

Pricing verified Jul 2026

Who It's For
E-commerce and consumer brand marketing teamsAgencies producing ad creative for multiple brandsGrowth teams iterating on paid social creativeCreative teams replacing routine photoshoots
Details
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About Riverflow

Riverflow is an AI creative tool for marketing teams that trains on a brand's visual identity, values, and products to generate consistent campaign assets. It produces product photography-style images, static ads, and videos for channels like Meta, TikTok, email, and print, with a credit-based pricing model and commercial usage rights. An MCP integration lets teams generate assets from Claude, ChatGPT, or Codex.

Key Features

  • Custom brand training on visual identity and products
  • Image, static ad, and video generation
  • Campaign-ready output for Meta, TikTok, email, and print
  • MCP connection to Claude, ChatGPT, and Codex
  • Custom scene and style training
  • Expert artworking support on higher tiers

Pros & Cons

Pros

+ Brand training keeps outputs visually consistent

+ Covers images, static ads, and video in one credit system

+ Commercial usage rights included on all plans

+ Free daily-credit plan for evaluation

Cons

- Credit math differs per asset type, complicating budgeting

- Lower tiers cap brand profiles and custom styles

- Best results require upfront brand training effort

Use Cases

Generating on-brand product photography without shootsProducing static ads and videos for paid social campaignsScaling creative output across multiple brandsCreating campaign assets in hours instead of weeksGenerating visuals directly from AI chat tools via MCP

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