Executive Summary

Many feeds today are polluted by AI-generated low-quality or misleading content, hurting user trust and engagement and forcing prosumers and mid-market platforms to spend more on moderation and user retention; this pain is felt by roughly 30M prosumers and 1,800 mid-market platforms who need better feed hygiene. The immediate consequence is lower relevance and higher churn for platforms, plus increased regulatory and PR risk for operators who can’t demonstrate content provenance. You could build a multimodal filtering and labeling layer—delivered as an SDK/API and a hosted service—that detects synthetic text, audio, and video, attaches provenance and quality scores, and exposes user-facing filters and admin controls for customizable moderation policies. Productized components would include a realtime signal pipeline, configurable policies for feed ranking, and a subscription-tier curated feed for prosumers. The market is attractive now: we estimate a $3.0B addressable market (30M prosumers × $40 ACV = $1.2B; 1,800 mid-market platforms × $1.0K ACV = $1.8B), regulatory pressure to curb misinformation is increasing demand, and multimodal models have made detection technically feasible and productizable. Users are more willing to pay for trust and curated experiences, giving clear early monetization paths. You can differentiate by combining high-accuracy multimodal detection with transparent, human-understandable provenance labels, easy plug-and-play integrations, and a UX that makes paid curation feel tangible; however, expect a technical arms race against adversarial content, risk of false positives, and nontrivial sales efforts to win platform integrations and trust.

Market Opportunity

Filter and label AI-generated feed content to restore relevance targets a $3.0B = 30M prosumers × $40 ACV ($1.2B) + 1,800 mid-market platforms × $1.0K ACV ($1.8B) total addressable market with medium saturation and a year-over-year growth rate of 15% YoY growth — growth driven by personalization and content-moderation spend increases (source: market research trends in content moderation and recommendation tools).

Key trends driving demand: Trend — Platforms are under regulatory and public pressure to reduce misinformation and low-quality content, increasing demand for complementary filtering tools.; Trend — Multimodal AI models make detection of synthetic content feasible across video, audio, and text, enabling productized solutions.; Trend — Users are increasingly willing to pay for trust and signal quality (e.g., ad-free or curated experiences), creating subscription demand for feed hygiene.; Trend — Browser and mobile extension distribution remains an effective low-cost channel to reach consumers quickly, shortening time-to-adoption..

Key competitors include Originality.ai, Sensity (formerly Deeptrace), Browser extension ecosystem + open-source front-ends (e.g., Invidious, Video Blocker variants).

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Filter and label AI-generated feed content to restore relevance

Executive Summary

Market Validation

Market Opportunity

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