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Editorial Calendar Conflict Detector for Multi-Brand Content Teams

Why This is an Opportunity

This is a coordination problem, not a content creation problem. Large organizations with multiple content streams lack cross-brand visibility. Each team plans independently, and conflicts only surface after publication. The solution is a simple multi-calendar CRUD app: each brand gets a calendar, content entries include date, topic tags, target audience, and channel. A conflict detection view highlights same-day or same-week overlaps by topic tag or audience segment. No AI needed — just tag matching and date proximity logic. Straightforward to build with a calendar UI component and basic filtering.

Key Pain Points

  • Two brand accounts post nearly identical thought leadership pieces on the same day, diluting reach for both
  • No single view exists across brand calendars — someone has to manually open 4-5 separate Notion databases or spreadsheets to spot conflicts
  • Product marketing and corporate comms teams schedule announcements that compete for the same audience's attention in the same week
  • Regional content teams unknowingly duplicate topics because they can't see what other regions have planned
  • Quarterly planning meetings waste hours reconciling calendars that could be automatically cross-referenced
Market Opportunity
Multi-Brand Editorial Calendar & Content Collaboration Software Market
Current Size (2026)
$2.8B
Projected (2036)
$9.0B
CAGR
12.4%
This market is projected to grow 221% over the next 10 years, reaching $9.0B by 2036.

Original Discovery

Companies managing content across multiple brands, product lines, or regional accounts frequently schedule posts that cannibalize each other — two brands posting about the same topic on the same day, or a product launch announcement colliding with a corporate blog on a different subject entirely. The editorial calendars live in separate spreadsheets or Notion databases, and nobody has a unified view. A lightweight web app where each brand's content calendar is entered (or pasted in), then automatically flags scheduling conflicts, topic overlaps, and audience saturation risks across all brands on a single timeline would prevent these collisions.

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