Industrial B2b Research Topic

Industrial B2B Intelligence Scout

A scheduled research agent for industrial B2B operators that scans web sources, trade publications, regulatory feeds, and patent databases for fresh developments across the topics you care about. It dedupes findings against prior runs using an internal database, scores stories by relevance and recency, and delivers a ranked, formatted briefing by email plus a long-form report in Google Docs. Built for breadth over depth: it caps time per source, runs scrapes in parallel, and never blocks on a single slow site.

79 template uses · 94 catalog views

Agent snapshot

Built for industrial b2b work, not a generic template.

79

template uses

94

catalog views

2

integrations used

2

labels matched

Industrial B2b Research Topic

Sample input

Build an agent to industrial B2B Intelligence Scout. Use Gmail and Google Docs. Focus on research topic. Return a ready-to-review result after each run.

Sample output

Weekly, scans trade publications, regulatory feeds, and patent databases for fresh developments in your industry, dedupes against the last 14 days, and emails a ranked digest plus a full Google Doc report.

Workflow brief

Where Industrial B2B Intelligence Scout fits in a industrial b2b automation system

Industrial B2B Intelligence Scout is designed for a specific recurring job: a scheduled research agent for industrial B2B operators that scans web sources, trade publications, regulatory feeds, and patent databases for fresh developments across the topics you care about. It dedupes findings against prior runs using an internal database, scores stories by relevance and recency, and delivers a ranked, formatted briefing by email plus a long-form report in Google Docs. Built for breadth over depth: it caps time per source, runs scrapes in parallel, and never blocks on a single slow site. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.

A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.

In this setup Twin uses Gmail and Google Docs as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.

What this agent automates

This run includes 7 concrete steps from the published agent data.

Signal 1 · 1

On schedule, load the dedupe history from the agent database and plan one research stream per topic cluster

Signal 2 · 2

Run web searches and lightweight scrapes for every topic in parallel, capping each source at 15 seconds and 2 pages

Signal 3 · 3

Pull article bodies for the most promising candidates with a second parallel pass; fall back to deep research if a cluster is thin

Signal 4 · 4

Dedupe against prior URLs and headlines, filter by lookback window and exclusion keywords, score 0-100 on relevance/recency/signal

Signal 5 · 5

Compose per-topic sections with summaries, key insights, and a 'so what' line in the chosen tone

Signal 6 · 6

Create the long-form report in the connected store (Google Docs by default) and email the ranked digest to the recipient

Integrations used

Industrial B2B Intelligence Scout connects Gmail and Google Docs.

Gmail

Connected in this agent

Google Docs

Connected in this agent

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Clone Industrial B2B Intelligence Scout

Start from the exact agent behind this page, then adapt the prompt, apps, and review steps to your industrial b2b workflow.

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