60% of republications were invisible. Now nothing escapes the system.
A PR agency was underreporting campaign results and missing KPIs because standard tools couldn't detect paraphrased or modified content. moat8 built a semantic monitoring system that finds every version of a published piece.
Standard tools tracked exact matches. Publishers don't republish exact matches.
The PR agency was tracking media coverage with conventional monitoring tools — keyword search and URL matching. The problem: up to 60% of republications were paraphrased, excerpted, or reworded before being picked up by regional outlets, blogs, and aggregators. These never appeared in reports. Clients saw incomplete results. KPI commitments were missed not because placements underperformed, but because the measurement was blind.
Semantic search finds every version — paraphrased, modified, excerpted.
Source content indexing
Original press materials, articles, and releases loaded as semantic reference embeddings
Continuous web crawling
AI-powered crawlers scan news sites, aggregators, regional media, and blogs on a defined schedule
Semantic similarity matching
Each crawled piece compared against reference embeddings — detects paraphrased and structurally modified versions, not just exact text
AI-powered search augmentation
Integrates with AI search engines to surface coverage that standard crawlers miss
Confidence scoring
Each detected match assigned a relevance score — high-confidence hits go to client reports, borderline cases flagged for human review
Automated reporting
Coverage compiled into structured campaign reports with reach estimates, outlet tiers, and publication timeline











