Extending industry insights across all channels with AI

Understanding the industry context in which a brand is mentioned is essential to fully assess its performance.
At Launchmetrics, industry information has long been available for print coverage, thanks to the manual integration of clippings. Today, we are taking a major step forward by extending this capability to online and social media, powered by AI.

Before: industry attribution limited to print

Historically, industry enrichment was available only for print content.
Because print coverage is manually curated and integrated, it allowed for precise industry tagging at the reference level.

While this ensured high-quality insights for print, it also meant that online and social coverage did not benefit from the same level of industry granularity, despite representing a significant share of brand exposure.

Now: AI-powered industry enrichment for online and social

Launchmetrics can now detect and assign industry context to brand mentions in online and social content, while maintaining alignment with our existing print methodology.

Industry detection linked to the brand mention

Industry enrichment is performed at the brand-mention level, not just at the placement level.

This means:

• Each brand mention is analyzed in its specific context
• A single placement can contain multiple brand mentions, each with its own industry attribution
• A single document can therefore be associated with multiple industries for the same brand

For example, a brand mention within a single article can legitimately belong to both Fashion and Beauty, reflecting how brands naturally operate across categories.

⚠️ This is an important consideration when analyzing industry data, as totals by industry are not mutually exclusive.

Contextual and multi-industry attribution

Based on a dedicated prompt, the AI model can assign:

• One industry when the context is clearly defined
• Multiple industries when the content genuinely spans several categories

This approach better reflects real-world brand storytelling, where fashion, beauty, jewelry, or lifestyle elements often coexist within the same coverage.

A complete industry framework, including edge cases

To ensure clarity and consistency, the model uses three possible outcomes:

• Portfolio industries
  When the detected industry belongs to Launchmetrics’ supported industry set (e.g. Fashion, Beauty, Jewelry, Watches, etc.).
• “Other”
  Used when the brand is mentioned in an industry outside our current portfolio. This ensures coverage is not forced into an inaccurate category.
• “Unknown”
  Applied when no clear industry context can be confidently identified in relation to the brand mention. In Discover all placements without an industry tag are under this category.

This distinction helps maintain analytical accuracy and prevents over-classification.

From segmented queries to industry filtering

This AI-powered approach enables a shift from rigid, segmented queries to dynamic industry filtering, across industries such as:

• Fashion
• Beauty
• Watches
• Jewelry
• Wine & Spirits
• Home & Design
• Eyewear
• Hospitality

Cross-channel by design, with quality safeguards

Industry enrichment now applies across all channels:

• Online media (AI-powered)
• Social media (AI-powered)
• Print coverage (manual integration)

To ensure the highest level of trust, we also perform manual quality checks on top-performing and high-impact documents, adding a human validation layer where it matters most.

What this means for brands

With industry enrichment now extended beyond print, brands benefit from:

• A unified industry view across print, online, and social
• More realistic industry attribution, aligned with how brands actually appear in content
• Greater analytical flexibility, with transparency on multi-industry coverage
• High confidence in data quality, combining AI at scale and human oversight