cyberneticlibrary

Gather competitive product and strategy intelligence

orthogonal-competitor-researchskillsetup L39
orthogonal-sh/skills

Causal-lift measurements

competitive-intelligence+17pp vs no-skill baselinewith-skill 76% · baseline 59%

Measured by running the task with and without this artifact, K=5, graded by deterministic checks — no LLM judging.

What it does

Gather competitive product, pricing, team, and strategy intelligence

Best for

Competitive intelligence on established SaaS/tech competitors where pricing, product features, and leadership changes are public signals.

Inputs
  • · Competitor domain URL
  • · Related competitor URLs for similarity search
  • · Competitor pricing pages
  • · Team member names and titles
Outputs
  • · Company overview and basic information
  • · Similar competitor list (via Exa)
  • · Pricing tier structure and features per tier
  • · Key exec team directory and roles
  • · Customer case studies and references
Requires
  • · Orthogonal brand-dev API
  • · Exa search API (findSimilar, search endpoints)
  • · ScapeGraph web scraper (smartscraper)
  • · Fiber people-search API
  • · LinkedIn scraping (exec tracking)
Preconditions
  • · API credentials for Orthogonal, Exa, ScapeGraph, Fiber configured
  • · Target competitor domain accessible and public
Failure modes
  • · Depends entirely on third-party APIs — scraping failures or rate limits break workflow
  • · No native parsing logic shown — relies on external tools for data extraction
  • · Incomplete snippet — does not describe full analysis or output format
Trust signals
  • · Named API endpoints with exact paths (brand-dev /v1/brand/retrieve, exa /findSimilar)
  • · Bash CLI examples with JSON body structure