Show HN: 마케팅 콘텐츠 생성기 AI 기반 다중 채널 콘텐츠 플랫폼

hackernews | | 💼 비즈니스
#ai #gemini #show hn #tip #다중 채널 #마케팅 #콘텐츠 생성
원문 출처: hackernews · Genesis Park에서 요약 및 분석

요약

구글 Gemini 3 해커톤을 위해 개발된 이 AI 플랫폼은 수기 입력이나 쇼피파이 데이터를 바탕으로 소셜 미디어와 랜딩 페이지용 마케팅 콘텐츠를 자동 생성합니다. 스톡 사진을 제품용 시각 자료로 변환하는 AI 에이전트, 규정 준수 점수 시스템, 대화형 랜딩 페이지 빌더 등을 갖추어 소규모 팀의 반복적인 콘텐츠 제작 시간을 획기적으로 줄이는 것을 목표로 합니다. 제작진은 모든 채널에서 일관된 브랜드 보이스와 시각적 스타일을 유지하는 것이 가장 어려운 도전 과제였다고 밝혔습니다.

본문

Inspiration Every marketing team faces the same struggle: creating high-quality, on-brand content across multiple channels is time-consuming, expensive, and hard to scale. Small businesses and lean teams often can't afford dedicated designers, copywriters, and compliance reviewers for every campaign. We asked ourselves — what if AI agents could handle the heavy lifting, letting marketers focus on strategy instead of execution? That question, combined with the explosive potential of Gemini 3, inspired us to build a platform that puts an entire marketing department's capabilities into a single tool. What it does Our Marketing Content Generator is an all-in-one AI-powered platform that enables users to create, manage, and publish marketing campaigns across multiple channels. Users can generate copy and images for platforms like Instagram and Facebook in real time, produce videos from storyboard scripts, and even build complete landing pages through a guided, conversational AI agent. The platform integrates directly with Shopify so users can import their product catalogs and instantly generate content around real products. A Brand Voices feature ensures every output matches a company's tone, color palette, and target audience. A built-in compliance rules engine scores all generated content against custom or default rules and flags anything that falls short. Finally, Stripe-powered billing supports free and pro tiers, making the platform accessible to teams of any size. How we built it We built the platform on top of Gemini 3, leveraging its multimodal capabilities for text generation, image creation, and video production. The backend orchestrates multiple specialized AI agents — a content generation agent, an AI Modify agent for reworking existing assets, a compliance-checking agent, and a landing page builder agent that guides users through decision trees. We integrated the Shopify API to pull in product catalogs and the Stripe API for subscription management and billing. The frontend provides a clean dashboard for campaign management, real-time content previews that show exactly how posts will appear once published, and inline editing so marketers can fine-tune anything before it goes live. Challenges we ran into Coordinating multiple AI agents into a seamless workflow was one of our biggest hurdles — each agent needed to produce outputs that were consistent with one another and aligned with the user's brand identity. Getting image and video generation to run fast enough for a real-time experience required significant optimization. Compliance checking was another tough problem: we had to design a flexible rules engine that could handle both default industry standards and fully custom rules while producing meaningful, actionable scores. Finally, ensuring that Shopify product data mapped cleanly into content generation prompts took more iteration than we initially expected. Accomplishments that we're proud of We're proud that the platform delivers a genuinely end-to-end experience — from importing products to generating content, checking compliance, and publishing — all without leaving a single interface. The AI Modify agent, which can take an existing stock image and produce a dramatically different, product-specific version, consistently wows people who see it for the first time. We're also proud of the landing page generator's guided flow, which makes a complex creative process feel simple and accessible. And the compliance scoring system gives marketing teams something they rarely have: confidence that their content meets standards before it goes live. What we learned We learned that the real challenge of building with AI agents isn't generating content — it's maintaining consistency and brand coherence across many outputs. We gained deep experience orchestrating multi-agent systems where each agent has a distinct role but must collaborate toward a unified result. We also learned how important real-time feedback is for user trust: watching content build live makes people far more confident in the output than waiting for a batch result. On the product side, we discovered that compliance isn't an afterthought for marketers — it's a core need that, when addressed well, becomes a major differentiator. What's next for Marketing Content Generator Going forward, we plan to expand channel support to include email campaigns, TikTok, and LinkedIn. We want to add A/B testing capabilities so the AI can generate multiple content variants and help users pick the best performer. Deeper analytics — tracking how AI-generated content performs post-publication and feeding those insights back into future generation — is a top priority. We're also exploring multi-language support to help brands run global campaigns from a single platform, and we plan to add team collaboration features so multiple stakeholders can review, comment on, and approve content before it goes live. Built With - cloud-firestore - firebase-auth - firebase

Genesis Park 편집팀이 AI를 활용하여 작성한 분석입니다. 원문은 출처 링크를 통해 확인할 수 있습니다.

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