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Generate business research reports with Claude, web search and Google Drive

This workflow is a fully automated AI-powered business intelligence agent. It accepts a research topic or company name via webhook, autonomously collects data from multiple live sources (web search, news feeds, financ...

Data & StorageProductivityDevelopmentCore NodesUtilitySticky NoteWebhookSet
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This workflow is a fully automated AI-powered business intelligence agent. It accepts a research topic or company name via webhook, autonomously collects data from multiple live sources (web search, news feeds, financial APIs), runs a multi-stage Claude AI analysis pipeline, and delivers a structured professional business report — all without human intervention.

What's the Goal? To eliminate the hours analysts spend manually gathering data, switching between tools, and writing reports. This workflow does it all in under 3 minutes: - Collects live market and competitor data - Pulls recent news and sentiment signals - Runs deep AI analysis across all sources - Generates a structured executive report with SWOT, risks, and opportunities - Delivers the final report via email and saves to Google Drive

Why Does It Matter? Manual business research is slow, inconsistent, and expensive. This workflow: - Saves 4-8 hours of analyst time per report - Produces consistent, structured outputs every time - Runs on a schedule or on-demand via API - Scales to any number of topics or companies - Integrates directly into your CRM, Slack, or email - Generates billable deliverables for consulting agencies

How It Works Stage 1 — INTAKE Webhook receives a research request. Set node normalizes all inputs and stores credentials. IF node validates the request has a valid topic.

Stage 2 — DATA COLLECTION (parallel) Three HTTP Request nodes run simultaneously: - Serper.dev fetches top 10 Google results for the topic - NewsAPI pulls the latest 10 news articles from the past 7 days - Alpha Vantage fetches financial/market data if a ticker is provided

Stage 3 — DATA PROCESSING Code node merges and cleans all collected data. Extracts headlines, snippets, URLs, publication dates, sentiment signals, and key figures into a structured context object ready for AI analysis.

Stage 4 — AI ANALYSIS (3-pass Claude pipeline) Pass 1 — Research Synthesis: Claude reads all raw data and extracts key facts, trends, and signals Pass 2 — Strategic Analysis: Claude performs SWOT analysis, identifies risks and opportunities Pass 3 — Report Generation: Claude writes the final structured executive report in Markdown

Stage 5 — OUTPUT & DELIVERY Report is saved to Google Drive as a document. Summary is posted to Slack. Full report is emailed via SendGrid. All metadata is logged to Google Sheets. Webhook returns JSON response.