Workflow
Automated Competitor Research
From a product description to a structured competitor matrix in under 10 minutes.
1 min readupdated 2026-06-17
/ quick answer
Use an AI agent to discover competitors, scrape their positioning, and output a normalized comparison table. From a product description to a structured competitor matrix in under 10 minutes.
From a product description to a structured competitor matrix in under 10 minutes. The problem it solves: Manually researching competitors takes hours and produces inconsistent notes that are hard to compare. Use an AI agent to discover competitors, scrape their positioning, and output a normalized comparison table. It runs in 5 steps, starting with define your product in one sentence and your target customer. This workflow node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Problem
Manually researching competitors takes hours and produces inconsistent notes that are hard to compare.
Solution
Use an AI agent to discover competitors, scrape their positioning, and output a normalized comparison table.
Steps
- 01Define your product in one sentence and your target customer.
- 02Run the competitor discovery prompt against a web-search-enabled agent.
- 03For each result, extract pricing, positioning, and 3 differentiators.
- 04Normalize fields into a single table.
- 05Generate a one-paragraph strategic summary.
Tools Used
Prompts Used
Variations
- Run weekly as a cron to track competitor changes.
- Filter only to YC-backed companies in the same category.
Related Dictionary
/ frequently asked
What does the Automated Competitor Research workflow do?
Use an AI agent to discover competitors, scrape their positioning, and output a normalized comparison table.
What problem does Automated Competitor Research solve?
Manually researching competitors takes hours and produces inconsistent notes that are hard to compare.
How many steps does Automated Competitor Research take?
5 steps. It starts with define your product in one sentence and your target customer. and ends with generate a one-paragraph strategic summary..
Which tools does Automated Competitor Research need?
It uses agent-research-stack — each linked below with its own node.
↳ connected nodes
Dictionary↳ linked
AI Agent
An autonomous AI system that plans and executes multi-step tasks.
Dictionary↳ linked
Prompt Chaining
Pipelining LLM calls where each step's output feeds the next.
Dictionary↳ linked
LLM Orchestration
Coordinating multiple model calls, tools, and data sources into one reliable system.
Tool Stack↳ linked
Agent Research Stack
Web-search-enabled agent for autonomous research tasks.
Prompt↳ linked
Competitor Discovery Prompt
Surface and structure direct competitors for a given product.
Comparison↳ linked
GPT vs Claude for Business Workflows
Choosing the right model family for production use.
Dictionary↳ linked
Agent Memory
Persistent context that lets agents retain preferences, decisions, and prior work.
Comparison↳ linked
AI Agent vs Workflow Automation
When to use autonomous reasoning and when to use deterministic automation.
Tool Stack↳ linked
AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
Workflow↳ linked
Continuous AI Competitor Monitoring
Track competitors' pricing, features, content and hiring in near-real-time with an AI digest.
Dictionary↳ linked
Agentic Workflow
A workflow where an LLM decides the next step instead of a hard-coded path.
Dictionary↳ linked
Tool Use
An LLM invoking external functions to act beyond text generation.
Prompt↳ linked
Competitor Teardown Prompt
Deep-dive one competitor from public artifacts.
Tool Stack↳ linked
Solo Market Researcher Stack
One person running weekly market intel across 20+ companies.
Dictionary↳ linked
Deep Research (AI)
Long-running AI research task that produces a cited multi-page report.