Media Monitoring

I build AI agents that track media coverage across platforms — from major publications and broadcast transcripts to podcasts and niche blogs — then analyse sentiment, identify trends, and produce structured reports that communications teams can act on immediately.

Coverage tracking that understands context

Counting mentions is easy. Understanding what they mean and whether they matter is where AI agents add real value.

Traditional media monitoring tools give you a firehose of links. They tell you where your name appeared, but not whether the coverage was meaningful, whether the tone was favourable, or whether a narrative shift is emerging. The agents I build go further — they read and assess every mention, classify it by relevance and sentiment, and surface the items that deserve your team's attention.

These agents work across all the channels that matter: online publications, print archives, broadcast transcripts, podcast episodes, and social media platforms. They maintain consistent tracking across all of them, so you get a complete picture rather than fragmented views from separate tools.

Cross-platform mention tracking

Comprehensive coverage capture across every channel where your brand, competitors, or sector are being discussed.

Online publication monitoring

Agents that scan hundreds of online news sites, trade publications, and industry blogs. Every mention is captured with full context — not just a headline and link, but the surrounding text, the article's focus, and the publication's typical audience and reach.

Broadcast and podcast tracking

I connect agents to transcript services that cover TV news, radio, and podcast episodes. The agent identifies mentions in audio content by processing transcripts, capturing the speaker, context, and timestamp so your team can quickly locate the relevant segment.

Social media listening

Monitoring of relevant social platforms for mentions, discussions, and shared content. The agent filters out noise — distinguishing between a journalist sharing an opinion piece and a bot reposting content — and focuses on mentions that represent genuine engagement or potential amplification.

Unified mention database

All mentions from all sources flow into a single structured database. Each entry is tagged with source type, date, reach estimate, sentiment score, and topic classification. This gives your team one place to search, filter, and analyse coverage across every channel.

Sentiment analysis and trend detection

Moving beyond simple positive/negative scoring to understand how narratives evolve over time.

Contextual sentiment scoring

The agents I build assess sentiment with nuance. A news article can be factually neutral but carry negative implications; a review might praise one aspect while criticising another. The agent captures these subtleties rather than reducing everything to a single score, giving your comms team a realistic view of how coverage actually reads.

Narrative trend identification

Over time, the agent detects shifts in how your brand or sector is being discussed. Maybe "innovation leader" framing is declining while "pricing concerns" mentions are rising. These trend signals emerge from aggregating hundreds of mentions and are surfaced before they become obvious to manual reviewers.

Topic clustering

Coverage is automatically grouped into topic clusters — product coverage, executive mentions, industry analysis, regulatory stories, and so on. This lets your team see at a glance which aspects of your organisation are generating the most attention and how the distribution shifts over time.

Anomaly and spike detection

When mention volume or sentiment shifts suddenly, the agent flags it immediately. A spike in negative mentions overnight, an unusual surge in a specific topic, or a sharp change in sentiment trajectory — these anomalies trigger alerts so your team can investigate and respond quickly.

Coverage reporting and journalist intelligence

Automated reports that tell the story behind the numbers, plus intelligence on the people writing about you.

Automated coverage reports

I build agents that generate polished media coverage reports on any schedule — daily, weekly, monthly, or on-demand. Each report includes volume metrics, sentiment breakdowns, top stories, reach estimates, and source analysis. Reports are formatted for different audiences: a one-page executive summary, a detailed breakdown for the comms team, or a data-rich version for analytics.

Campaign-specific tracking

When you run a PR campaign or product launch, the agent creates a dedicated tracking view. It monitors pickup rates, message penetration, journalist engagement, and coverage quality — producing post-campaign reports that show exactly what landed and what didn't.

Journalist profiling

Agents that build and maintain profiles of journalists covering your space. For each journalist, the agent tracks: what topics they cover, how frequently they publish, their typical angle or perspective, which outlets they write for, and how they've covered your brand previously. This intelligence feeds directly into your PR team's outreach planning.

Outlet analysis

Beyond individual journalists, the agent tracks outlet-level patterns — which publications cover your sector most frequently, their editorial tendencies, their audience demographics, and how coverage from each outlet correlates with downstream engagement. This helps your team prioritise media relationships strategically.

Ready for media monitoring that actually monitors?

Tell me what you need to track and I'll build an agent that covers every channel that matters.