

Moonlit Platform is a next-generation, no-code AI orchestration engine purpose-built for SEO professionals and content strategists. It transforms fragmented AI tools and siloed search intelligence into unified, repeatable, and scalable content systems — enabling teams to design, test, deploy, and iterate SEO-native workflows with precision, speed, and full brand fidelity.
With Moonlit’s visual workflow studio, users assemble intelligent content pipelines by connecting real-time SEO signals (keyword volume, difficulty, SERP features), proprietary knowledge bases, fine-tuned LLM personas, multimodal AI models (text, image, structured output), and automated publishing logic — all without writing a single line of code. Define your inputs (e.g., seed topics or URLs), chain intelligent functions (e.g., “generate semantic clusters → draft pillar content → suggest internal links → render optimized HTML”), and execute across hundreds or thousands of assets in one click.
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Moonlit Platform is developed and operated by Moonlit Platform Ltd., a UK-registered technology company focused on responsible, high-fidelity AI for search-driven content strategy.
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Moonlit Platform is an AI-native SEO infrastructure layer — not just another content generator. It empowers SEO and content teams to architect, validate, and scale intelligent content systems that blend real-world search behavior with brand-specific AI intelligence — turning strategy into executable, measurable, and maintainable automation.
Start by selecting a use case template (e.g., “Topical Map Generator”) or build from scratch in the Workflow Studio. Connect your knowledge base, define persona parameters, integrate live SEO data sources, choose AI models, and map logic between steps. Then run it — once, daily, or across thousands of keywords — with full visibility into every stage of execution.
Moonlit serves SEO directors, content operations leads, agency strategists, and growth marketers who need to move beyond point solutions. It’s built for those who demand control over *how* AI works — not just *what* it outputs — and who require auditability, repeatability, and alignment with long-term organic growth goals.
Credits are Moonlit’s unified usage currency. Each function node (e.g., “SERP Analyzer”, “LLM Draft Generator”, “Image Captioner”) consumes credits based on computational intensity and data volume. Fixed-cost nodes (e.g., “Keyword Difficulty Lookup”) use set credits; variable ones (e.g., “GPT-4 Content Generation”) scale with token count. One credit = $0.002 USD. API-based actions include a 5-credit overhead for secure routing and rate management.
An App is a saved, shareable, and executable workflow — a self-contained unit of SEO intelligence. It encapsulates inputs (topics, URLs, filters), processing logic (model calls, conditionals, transformations), and outputs (HTML, JSON, CSV, or embedded previews). Apps can be reused, cloned, versioned, and permissioned across teams — making SEO knowledge portable and operational.
Yes. Moonlit follows strict data residency and privacy protocols: your uploaded documents, prompts, and outputs remain your property and are never used to train public models. All data is encrypted in transit and at rest, stored in ISO 27001-certified infrastructure, and subject to granular access controls. Enterprise plans include SOC 2 Type II reporting and custom data governance options.