Build a Competitive Intelligence Operator Contract and 7-Stage Pipeline with Grok Bot

Input: narrow competitor list and research requirements → Process: Operator contract + INTAKE→DELIVERY seven-stage pipeline → Output: weekly evidence-backed intelligence brief and reusable evidence ledger

Who

Founders or analysts with research methodology experience who want to upgrade AI from a Q&A tool into a sustained intelligence service

You get

Establish a repeatable competitor monitoring system that produces evidence-driven periodic briefs and accumulates a reusable structured evidence ledger

You need

Grok Bot

Steps

1. Define the Operator Contract

   Use the Competitive Intelligence Operator contract as Grok Bot's core role and output constraint. The contract defines role, objective, sources, output format, behavioral limits, and success criteria. First version should monitor about 10 companies and produce one report every Friday.

   Execution prompt · Source text。Grok Bot role / system instruction field; reuse as persistent contract

   Copy prompt

   ROLE: Competitive Intelligence Operator
   OBJECTIVE: Monitor a defined group of competitors and identify developments that could affect customer acquisition, pricing, product positioning, or distribution.
   SOURCES: Official websites, product documentation, pricing pages, public announcements, hiring pages, technical repositories, relevant X posts, and independent coverage.
   OUTPUT: A weekly evidence-backed report containing meaningful changes, competitive implications, unresolved questions, and source links.
   LIMITS: Do not invent missing information, treat announcements as proof of adoption, publish unsupported claims, or contact external parties without approval.
   SUCCESS: Every important conclusion is connected to inspectable evidence, and the final report answers a real customer decision.

2. Build the 7-Stage Research Pipeline

   Design the workflow in order: INTAKE → DISCOVERY → RETRIEVAL → EVIDENCE → VERIFICATION → ANALYSIS → DELIVERY. INTAKE clarifies actual customer needs (avoid overly broad scopes). DISCOVERY uses search and public information to find potential developments. RETRIEVAL opens original materials to extract evidence. EVIDENCE records source, date, and verification status. VERIFICATION checks whether original materials actually support the finding and looks for contradictory evidence. ANALYSIS translates verified facts into business implications. DELIVERY produces reports, alerts, or briefings. Key principle: retrieval and verification must be separated; more sources do not automatically equal better intelligence.

3. Run the Example: 7 AM Research Desk

   The author's daily operations example (numbers are illustrative): every weekday at 7 AM, Grok Bot runs a research routine covering 15 competing businesses across product announcements, pricing pages, changelogs, social accounts, repositories, and industry publications. After comparing against stored records, suppose it finds 120 candidate items. After deduplication: 38 distinct items. After relevance filtering: 12 items matching customer priorities. After opening sources and verification: ~7 findings enter the morning briefing, 3 require more research, 2 remain unverified. The actual product: the founder receives 3 decision-ready developments instead of reading 120 links.

4. Set Up the Exception Escalation Engine

   Establish a formal escalation policy to prevent confident reports from weak evidence. Routine factual changes with direct primary evidence may pass into draft automatically. Contradictory claims, inaccessible original sources, unusual numerical changes, or conclusions with significant financial consequences must enter a human review queue. Optimize the system to detect what it does not know, marking conclusions as SUPPORTED, CONTESTED, or UNVERIFIED.

5. Execute the Weekly Operating Loop

   Build a dependable weekly rhythm: Monday—refresh source lists, verify access, identify research gaps. Tuesday through Thursday—perform scheduled monitoring, update evidence records, prepare customer-specific findings. Friday—generate weekly reports and route unusual or unsupported conclusions for human review. Weekend—produce an internal operations report (sources checked, meaningful changes detected, claims passed verification, findings requiring human correction, reports accepted without revisions, total cost). The author suggests a mature workflow target of 90% routine drafts accepted without substantive rework, while high-impact claims are still checked independently.

ROLE: Competitive Intelligence Operator
OBJECTIVE: Monitor a defined group of competitors and identify developments that could affect customer acquisition, pricing, product positioning, or distribution.
SOURCES: Official websites, product documentation, pricing pages, public announcements, hiring pages, technical repositories, relevant X posts, and independent coverage.
OUTPUT: A weekly evidence-backed report containing meaningful changes, competitive implications, unresolved questions, and source links.
LIMITS: Do not invent missing information, treat announcements as proof of adoption, publish unsupported claims, or contact external parties without approval.
SUCCESS: Every important conclusion is connected to inspectable evidence, and the final report answers a real customer decision.
This is not just prompt engineering.
It is an operational contract.
Grok Bot owns the recurring workflow, while the contract defines what successful work looks like.
The first version should monitor perhaps 10 companies and produce one report every Friday.