Rainbrand

Rainbrand is brand infrastructure for AI agents and products. It turns brand identity, guidance and assets into shared context that agents and products can use and update, so that the agents doing more of your work every day can actually work with your brand. Rainbrand builds and maintains shared brand context from your websites, brand guides and files, and supplies the guidance and assets each task needs for marketing campaigns, websites, slides, email, video and more. It is built for teams, agencies and companies that want one maintained system plugged into the tools they already use, whether they are using agents directly or embedding brand context into their own product. The problem Rainbrand addresses is stated plainly in its manifesto: agents do more of your work every day, but none of them have your brand. Custom instructions, a custom GPT or a Claude Project can work when brand guidance is only needed in one tool and you are happy to update it by hand. Rainbrand instead maintains shared guidelines and assets across connected AI tools, gives each task a relevant Brief, and checks work against the brand through Reviews. The site frames this as brand infrastructure: one maintained system plugged into the tools you already use, so you do not have to reinvent that part of the stack yourself. Rainbrand gathers brand context from multiple inputs. It reads files including your brand guide, logos and fonts; it can import your website; and it brings Figma and other assets and files into one place. All of this feeds a shared brand context layer that Rainbrand maintains. Rather than a static document, this becomes a source that connected agents and products can query. The stated benefit is that all assets live in one place and the context stays current as brands evolve. A central feature is the Brief. Agents request a Brief to get the guidance and assets each task needs, so brand guidance is chosen for the specific task at hand. The content describes creating with brand guidance and assets chosen for the task, then reviewing and refining as needed. Briefs are also available through the API: the documented example posts a task such as "Launch poster" along with a brand session ID to the briefs endpoint. Generation can happen in two ways. Teams can generate with their own tools, keeping their models, tools and workflow while Rainbrand supplies the brand context, or they can generate through the AI Gateway. Rainbrand does not replace the models or tools; it supplies the brand context around them. Reviews let teams check images before they ship. Rainbrand checks work against your brand, including AI images, pages and slides submitted as visual captures. A Review checks logo, colours, typography and copy, and returns a verdict of pass, fail, uncertain or not applicable, along with a reason and evidence pictures where available. Agents can then use the findings to revise the work. Overall, Rainbrand works as a layer between brand definition and the tools that produce output. You add your brand to Rainbrand and connect your AI tools. For each task, the AI assistant requests a Brief with the brand guidance and assets it needs. Rainbrand supplies that context while you keep your models, tools and workflow. When a brand is updated and the edit is applied in Rainbrand, connected AI tools use the new version the next time they request a Brief; existing outputs do not change. Edits can be prepared by asking your agent or by using the API, then reviewed and applied. For users, the stated outcomes are on-brand creative without rebuilding the stack, shared guidelines across multiple AI tools instead of hand-maintained instructions in one tool, and a check against the brand before work ships. Customers describe Rainbrand as a brand brain from which all their assets are generated, and as a way to fetch each customer's brand and generate accurate, on-brand creative for their ads. A founder without a design background describes being able to turn ideas into great design without hiring a designer for the small stuff. Concrete workflows described include marketing campaigns, websites, slides, email and video generation with agent guidance and assets. Agencies keep each client as a separate brand in a Rainbrand team, with its own guidelines, brand voice and assets, and the AI assistant requests a Brief for the selected brand so client guidance stays separate. Teams can also embed Rainbrand into their own products through the REST API, as Revnu did inside its AI growth product. Review workflows cover checking AI images, pages and slides before they ship, with agents using findings to revise. Rainbrand is available to connect with ChatGPT and Codex through a plugin, Claude through a connector, Claude Code through a plugin marketplace install that includes its Skill and MCP connection, and Cursor by adding Rainbrand to the Cursor MCP configuration and signing in from the Cursor CLI. It also works with Higgsfield and any other AI tool that supports MCP. For product embedding, an API key is created in account settings and brands are listed through the REST API. Plans start at $20 a month for Plus with one seat; Pro starts at $35 a month with unlimited seats. Every plan includes API and MCP access; Max and Scale also include unlimited seats. Plans include credits for usage, including brand additions, and there is no limit on the number of brands you can add, though adding a brand uses credits. Rainbrand's primary value proposition is a maintained, shared brand layer for agents and products: one system that supplies brand guidance and assets per task, checks output against the brand, and stays current as brands evolve, while teams keep the models, tools and workflow they already use.