42-brand-mentions

Scan YouTube, Reddit, Wikipedia/Wikidata, and LinkedIn to score brand presence.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/chapter42/SEO-Skills-42 --skill 42-brand-mentions
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: 42-brand-mentions
Source: https://github.com/chapter42/SEO-Skills-42/tree/main/skills/42-brand-mentions
Command: npx skills add https://github.com/chapter42/SEO-Skills-42 --skill 42-brand-mentions

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, beautifulsoup4, and includes scripts (resource) components.

What problem does it solve?

Brand visibility in AI systems hinges on unstructured mentions across high-signal platforms. This skill scans YouTube, Reddit, Wikipedia/Wikidata, LinkedIn, and other sources to quantify brand presence and produce a Brand Authority Score (0-100) with platform-specific recommendations.

Core Features & Use Cases

  • Cross-platform brand presence audit across YouTube, Reddit, Wikipedia/Wikidata, LinkedIn, and other sources.
  • Generates a Brand Authority Score (0-100) with platform-specific recommendations to improve AI visibility.
  • Outputs per-platform findings and an actionable report for marketing, PR, and product teams.

Quick Start

Run the brand_scanner.py script with a target brand name to generate the brand authority report.

Frequently Asked Questions about 42-brand-mentions

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

FAQPage Schema
How do I measure brand visibility and mentions across AI platforms?▼

To measure brand visibility across AI platforms, you need to quantify brand presence on high-signal sources like YouTube, Reddit, Wikipedia/Wikidata, and LinkedIn. This skill scans these platforms to calculate a composite Brand Authority Score from 0 to 100.

What is a Brand Authority Score and how is it calculated?▼

A Brand Authority Score is a 0-100 metric predicting AI-driven visibility based on unstructured brand mentions. It is calculated by identifying and scoring brand presence across public signals like YouTube, Reddit, and Wikidata to determine overall notability and authority.

How do I audit my brand presence on Reddit and YouTube for AI search?▼

You can audit brand presence for AI search by running the brand scanning script with your target brand name. It returns a structured report with per-platform findings and prioritized recommendations to improve visibility on Reddit, YouTube, and other sources.

Can I use web scraping to check if my brand is on Wikidata and Wikipedia?▼

Yes, you can use web scraping to check Wikidata and Wikipedia for brand mentions. This skill uses requests and beautifulsoup4 to scan these public sources, generating per-platform scores and actionable PR recommendations.

What is the best way to improve brand authority for AI search engines?▼

The best way to improve brand authority for AI search engines is to follow platform-specific recommendations from a cross-platform audit. This skill outputs prioritized marketing and PR actions based on your brand's current presence on YouTube, Reddit, and LinkedIn.

Do I need Python dependencies to scan for brand mentions across public platforms?▼

Yes, you need Python dependencies to scan for brand mentions. This skill requires the requests and beautifulsoup4 libraries to perform web scraping across YouTube, Reddit, and other public signals to generate the authority report.