research-brand

Generate a brand_dna.md file from a company website and public web sources.

1.3k|43|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/onvoyage-ai/gtm-engineer-skills --skill research-brand
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-brand
Source: https://github.com/onvoyage-ai/gtm-engineer-skills/tree/main/research-brand
Command: npx skills add https://github.com/onvoyage-ai/gtm-engineer-skills --skill research-brand

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Produces a single, structured Brand DNA document from a company URL and public sources to eliminate manual research and provide a clear, actionable profile for marketing, content, and SEO teams.

Core Features & Use Cases

  • Website crawling: Fetches common pages (homepage, about, pricing, product, blog, case studies) to extract messaging, features, pricing, and social proof.
  • Targeted web search: Finds third-party descriptions, funding, team, app listings, and review language to supplement site data.
  • Competitor identification & synthesis: Compiles 3–5 competitors with overlap analysis and clear differentiators.
  • Structured output: Generates a single brand_dna.md Markdown file using a predefined template ready for downstream SEO, GEO, and content planning workflows.
  • Use Case: Accelerate client onboarding by producing a complete brand profile that feeds keyword research and content architecture.

Quick Start

Use the research-brand skill with a company URL to generate a complete brand_dna.md saved to your project directory.

Frequently Asked Questions about research-brand

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a brand profile from a company URL for client onboarding?

You can create a brand profile from a company URL by crawling common website endpoints and searching public web sources to generate a structured brand_dna.md Markdown document. This eliminates manual research by automatically extracting messaging, features, pricing, and social proof into an actionable file.

What is the best way to automate competitor analysis for SEO and content planning?

The best way to automate competitor analysis is to use a tool that extracts third-party descriptions and compiles 3-5 competitors with overlap analysis and clear differentiators. This process synthesizes public web sources to identify market positioning and feeds the results directly into your SEO and GEO planning workflows.

Can I generate a complete brand research document using only a company website?

Yes, you can generate a complete brand research document using a company website and optional context. The process fetches homepage, about, pricing, product, blog, and case study pages, while also performing targeted web searches to supplement site data with app listings and review language.

Does website crawling for market intel capture third-party review language and funding details?

Yes, website crawling for market intel captures third-party review language and funding details by performing targeted web searches beyond the company domain. It finds app listings, team information, and external descriptions to supplement the extracted site data for a comprehensive brand profile.

What are the limitations of automated brand research for content strategy?

Automated brand research for content strategy is limited to public web sources and common website endpoints, meaning it cannot access gated content or private internal data. It relies on available public information and predefined templates to structure the final brand_dna.md output.

How does extracting a Brand DNA file accelerate marketing discovery?

Extracting a Brand DNA file accelerates marketing discovery by consolidating website crawls and web searches into a single structured Markdown document. This eliminates manual data gathering and provides a clear, actionable profile that directly feeds keyword research and content architecture.