An AI-powered feature for campaign platforms that accepts a product URL and automatically generates a complete User-Generated Content (UGC) campaign structure. It creates dynamic forms based on the product category and includes systems for rating creator content and managing brand blocklists.
User-generated content platforms connect brands with creators who film product reviews, unboxings and demonstrations. Setting up each campaign is still manual: a brand manager writes a brief, decides what creators must show, builds a submission form, lists do's and don'ts, and sets filters for which creators can apply. Many brand managers are not experienced at writing briefs, so they leave out key details and creators submit content that misses the mark.
For the platform, slow and inconsistent campaign setup means fewer campaigns launched and more support requests. A skincare campaign needs different information from a kitchen appliance or a supplement, such as skin type, usage duration or safety disclaimers, yet most platforms offer one generic form. Reviewing submissions is also subjective, and brands have no easy way to exclude creators they have had problems with or who work for competitors.
A brand manager pastes a product URL; a Node.js service fetches the page and extracts product name, category, features, price and any stated claims.
The OpenAI API classifies the category and drafts a campaign brief with key messages, required shots, restricted claims and disclosure instructions.
Based on the category, the system generates a tailored creator submission form in React, stored as a schema in MongoDB so it can be edited without code.
Suggested creator filters, content rating criteria and a starter blocklist are proposed for the brand to accept or adjust.
The brand manager reviews every generated element, edits as needed and publishes the campaign to the platform's creator marketplace.
A UGC platform integrates a new feature where a brand manager pastes a link to a new product. The AI analyzes the product page, determines the category (e.g., 'skincare'), generates a campaign brief, creates a tailored submission form for creators, and suggests initial filtering criteria.
React, Node.js, MongoDB, OpenAI API, AWS
Creators paid in product or money must clearly disclose the commercial relationship, and the ACCC's influencer guidance and the Australian Consumer Law apply to both the creator and the brand. Generated briefs should never encourage creators to make claims the product cannot support, especially for cosmetics, supplements or therapeutic goods, which have additional advertising rules. Under the Copyright Act 1968 creators generally own copyright in their videos unless rights are assigned or licensed, so the brief should state usage rights clearly. Creator profiles and blocklists hold personal information, so the platform's privacy policy must cover them.
This solution requires careful evaluation of cost-benefit ratio. Consider implementation only after thorough analysis and risk assessment.
It suggests filters and scoring criteria, but the brand or platform team makes the final selection. Automated rejection of creators based on opaque AI judgements can be unfair and hard to explain, so most platforms keep a human decision and use AI to organise and summarise applications.
The system generates what it can and marks missing fields for the brand manager to complete, such as target audience or key message. It should not fill gaps with guesses about features. Thin product pages are a common cause of weak briefs, so prompting brands for more information improves campaign quality.
One to two months for a first version is typical for a team already familiar with the platform's codebase. Time goes into product page extraction, form schema design, prompt tuning for different categories and user testing with a few brand managers before a wider release.
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