Gather signal. Structure what you find.

Researchers monitor 200K+ sources across media, search, and AI answers, then structure what they find into a narrative graph that every other Shadow agent reads from.

The reading half of narrative intelligence.

Researchers are Shadow's signal layer. They run continuously. Every client workspace has Researchers watching media, search, and AI engines for anything that touches the client, its competitors, or the claims the client wants to own. Findings are resolved, deduplicated, and ingested into the narrative graph.

Explore narrative intelligence

Continuous monitoring

Researchers pull from Perigon, DataForSEO, and AI answer sources around the clock. No clip reports to chase.

Entity resolution

Every mention is tied to a resolved entity (company, person, product, claim), so the narrative graph stays clean across variant spellings and aliases.

Graph ingestion

Findings land in the narrative graph as structured nodes and edges, ready for Analysts, Strategists, and Reporters to query.

Research analysts

Manual landscape scans, weekly competitive clip reports, and category monitoring now run continuously. Analysts review structured output instead of building it from scratch.

Account coordinators

Daily coverage pulls, Google alerts triage, and newsletter-style clip reports are replaced by a Researcher that delivers filtered, resolved signal directly into the workspace.

Junior account executives

Hours lost to monitoring competitor mentions and scanning for breaking stories are reclaimed. Juniors ship strategy, not spreadsheets.

The work that used to eat junior hours.

Media monitoring, competitive clip roundups, daily news digests, and manual coverage tracking used to fall on research analysts, account coordinators, and junior account executives. Researchers take that work off the team and keep it running overnight, on weekends, and at scale.

Built on real pipes, not a chat wrapper.

Researchers do not guess. They pull from named, structured sources and write resolved signal into the narrative graph. Every claim in the graph is traceable to an article, a query, or an AI answer log. No hallucinated coverage. No invented quotes.

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Perigon for media

Researchers read from 200K+ news sources through Perigon, covering trade press, regional outlets, tier-one publications, and broadcast transcripts. Stories are clustered and scored for authority.

DataForSEO for search

Search volume, trend data, SERP composition, and ranking shifts come from DataForSEO. Researchers watch which queries are heating up and which are getting quietly captured by rivals.

AI answer audits

Researchers run structured prompts against ChatGPT, Perplexity, Google AI Overview, and Claude, then log how the client appears (or does not). Findings use methodology aligned with ZipTie and the Princeton and Georgia Tech GEO study.

Graph-level entity resolution

Every mention is resolved before it hits the graph. A Semrush 2025 benchmark on entity variance in brand coverage is one of the inputs to Shadow's resolution model.

Researcher to Analyst handoff.

Researchers do not interpret. They gather and structure. The interpretation layer is the Analyst. Once a Researcher has resolved signal into the narrative graph, Analysts read it in context: fingerprinting a client, mapping a category, scoring white space, flagging drift.

Meet the Analysts

The handoff is tight. Researchers publish a nightly graph delta. Analysts wake to a changed landscape. Strategists see new positions scored by morning. The user opens the workspace and sees what actually shifted.

Without Researchers, the narrative graph goes stale within hours. With Researchers, it is a living map.

Questions about Researchers

What is an AI agent for media monitoring?

An AI agent for media monitoring runs continuous scans across news, search, and AI engines, resolves what it finds to real entities, and delivers structured output instead of raw clips. Shadow's Researcher agents pull from Perigon, DataForSEO, and AI answer logs, then write resolved signal into the narrative graph for every client workspace.

How many sources do Researchers monitor?

Researchers monitor 200K+ sources across news, trade press, broadcast transcripts, and regional outlets through Perigon, plus search data from DataForSEO and AI answers from ChatGPT, Perplexity, Google AI Overview, and Claude. Coverage is updated continuously, not on a weekly cadence.

What is a narrative graph?

A narrative graph is a structured representation of what is being said, by whom, about whom, across media, search, and AI. It stores claims, entities, outlets, journalists, and momentum as queryable nodes and edges. Shadow's Researchers build the narrative graph; Analysts, Strategists, Planners, Writers, and Reporters all read from it.

Do Researchers replace a human research team?

Researchers replace the manual gathering work: monitoring, clip reports, competitive scans, and daily news triage. Strategic interpretation stays human-led, supported by Analyst agents. Agencies redeploy their research analysts into interpretation, strategy, and client-facing work instead of Boolean search strings.

Put Researchers on your category.

Book a demo and we will stand up a Researcher run on your client's space before the call.