Executive Summary

Product, marketing and PR teams running product launches and major announcements routinely lack minute-level visibility into media and social coverage, forcing costly manual monitoring and delayed tactical decisions. This is a real pain for an estimated 200,000 product/marketing/PR teams at larger organizations whose willingness to pay around $30K ACV implies a $6.0B addressable market. You could build a real-time ingest-and-reporting platform that aggregates and deduplicates coverage across an initial set of 21 high-priority sources in seconds, normalizes metadata, applies tuned extraction models and LLMs to produce structured executive and tactical reports, and pushes them into dashboards and chat integrations. The timing is favorable: execs expect minute-level insights, more publishers expose streaming APIs/webhooks, and AI extraction has matured enough to cut manual triage dramatically, which aligns with the high Market Score (95/100) and solid Revenue Potential (80/100). To stand out you must deliver low-latency reliability, enterprise-grade deduplication and relevance scoring, prebuilt connectors and templates that map to comms workflows, and strong security/compliance — these are defensible features once you lock in connectors and training data. The honest challenges are significant: maintaining coverage and SLAs across changing publisher APIs and paywalls, controlling false positives, and differentiating in a medium-competition landscape; success will depend on execution speed, early enterprise wins, and clear, measurable reductions in time-to-insight.

Market Opportunity

Automate release-day media aggregation & reporting across 21 sources (seconds) targets a $6.0B = 200,000 product/marketing/PR teams x $30K ACV total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR in martech & media-monitoring demand.

Key trends driving demand: Real-time expectations -- execs and comms teams expect actionable insights within minutes of a release, increasing demand for instant aggregation.; API proliferation -- more publishers and platforms offer streaming APIs/webhooks, making reliable ingest easier at scale.; AI extraction maturity -- modern LLMs and tuned extraction models reduce manual triage and speed up structured-report generation..

Key competitors include Meltwater, Cision, Muck Rack, Zapier + custom scrapers/workflows (adjacent/workaround), Signal AI (adjacent competitor).

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Automate release-day media aggregation & reporting across 21 sources (seconds)

Executive Summary

Market Validation

Market Opportunity

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