Sparky*
Sparky*
Sparky*
Web intelligence

AI-Driven Reputation Intelligence for Fashion Talent & Campaigns

The challenge
Reputation risk in fashion moves fast across news, social channels, and forums, in many languages. Teams rely on screenshots and gut feel, and people with similar names or reused images lead to wrong conclusions.

What we built
We built a reputation intelligence platform that collects public web content about models and campaigns and resolves every mention to the right person or campaign.

AI tracks sentiment, themes, and how fast a story spreads, and explains why a signal is moving. Analysts tune watchlists and alert rules by market and language, and every insight links back to the original source. Teams use it for pre-campaign screening and live monitoring.

Business value

  • Risks spotted before a campaign launches
  • Far less manual searching and review
  • Decisions documented with traceable evidence
  • One view of reputation across markets

Where else it applies
The same approach transfers to sports sponsorship, influencer marketing, executive due diligence, and political communication. It belongs to our Reputation and Web Intelligence work: what is said and published online, collected and turned into clear signals about reputation, markets, and demand.

Task

Screen and monitor fashion talent and campaigns for reputation risk.

  • Strategy

    Combine web-scale collection with entity resolution and narrative analytics, with every signal traceable to its source.

  • Design

    Web crawling into a lakehouse, AI entity linking and sentiment analysis, and an alerting and review workflow.

  • Client

    Fashion brands, agencies, and campaign teams in the EU and global markets

  • Tags

    analytics, entity-resolution, fashion, Media, monitoring, nlp, reputation, risk, web-crawling

Let’s build together

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