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Building a SearchGPT Research Workflow for Competitive Intelligence

A three-query conversational sequence that converts a 45-minute manual research cycle into a 15-minute brief. Works in Perplexity today while you wait for SearchGPT access.

July 31, 2024 3 min read
searchgpt competitive intelligence workflow
Quick Scan

What matters today

A three-query conversational sequence that converts a 45-minute manual research cycle into a 15-minute brief. Works in Perplexity today while you wait for SearchGPT access.

Format TOP UPDATE
Audience Executives using AI at work
Time 3 min read
Topic Top Update

Key points

  • The Three-Step Workflow
  • The Complete Prompt Sequence
  • Perplexity Setup (Available Now)
  • Workflow Variations
  • The Bottom Line

What You'll Learn

  • A three-step conversational research workflow for competitive intelligence using AI search
  • The exact prompt sequence that replaces a 45-minute manual research cycle
  • How to apply this workflow in Perplexity today while waiting for SearchGPT access

The traditional competitive intelligence workflow: open Google, run 8 to 12 different keyword searches, read 6 to 10 articles, copy key points to a notes document, paste into Claude or ChatGPT to synthesize. Total time: 40 to 60 minutes. Tools involved: at least four.

SearchGPT and Perplexity collapse this to a single conversation with real-time web access. Search, synthesis, and follow-up questions happen in one thread. The brief that previously took an hour comes out of a 15-minute conversation.

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The Three-Step Workflow

  • Broad framing query. Start wide to surface recent developments before you narrow. Let the initial search reveal what has changed. Resist starting with a specific angle.
  • Targeted drill-down. Follow up on the 2 to 3 most strategically significant items from Step 1. Each follow-up triggers a new search, returning current information rather than relying on training data.
  • Synthesize to a brief. Ask the model to produce a formatted one-page output directly from the conversation context.

The Complete Prompt Sequence

Query 1 (broad): "Research [company/topic] and summarize recent developments (past 30 days) across: product changes, pricing moves, leadership changes, funding news, regulatory developments. Cite sources for each item." Query 2 (drill-down, repeat as needed): "Drill deeper on [specific item from Query 1]. What are analysts saying about the rationale? What is the market reaction? Any follow-on announcements?" Query 3 (synthesis): "Synthesize this conversation into a one-page competitive intelligence brief with: Executive Summary (3 sentences), Key Developments (bulleted, most important first), Strategic Implications for a competitor in [your market], Watchlist (2 to 3 items to monitor), Sources."

Perplexity Setup (Available Now)

  • Go to perplexity.ai and subscribe to Pro ($20/month). Enable "Copilot mode" in the query interface for richer multi-step responses.
  • Use the "Focus" selector to choose "Web" for general research or "News" for recent developments only.
  • After the synthesis query, use Perplexity Pages to convert the brief into a shareable web page. Share the URL directly with colleagues without attaching a document.

Workflow Variations

Market entry research: Replace "competitor" with the target market. Query 1: "What are the top 5 players in [market], their market position, and any recent changes in competitive dynamics?"

Regulatory monitoring: Query 1: "What regulatory or policy developments related to [industry/topic] were announced in the past 30 days?" Follow up on implementation timelines. Synthesize as a policy watch brief.

Earnings preview: Query 1: "What are analysts expecting from [company]'s upcoming earnings? What recent data points are informing those expectations?" Synthesize as a one-page earnings preview brief.

The Bottom Line

For two competitive research cycles per week, this workflow saves approximately 35 minutes consistently. Start with one competitive brief this week using the three-query sequence in Perplexity. The time difference from your current workflow will become the argument for every research session after that.

Bottom line

The useful move with Building a SearchGPT Research Workflow for Competitive Intelligence is to run one narrow test this week, then keep only the workflow that saves time, improves a decision, or gives your team clearer output. Treat the announcement as raw material, not the win itself.

About the author

Pierre Bradshaw Founder, PromptHacker.ai

Pierre has spent 25+ years building growth systems across fintech, real estate, lending, campaigns, and AI workflows, with machine-learning work dating back to 2012.

If you have any questions or comments about Building a SearchGPT Research Workflow for Competitive Intelligence feel free to reach out. I'd love to hear from you.

Contact Pierre
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