browse-aeo

Audit webpage structured data, meta tags, headings, and content for AI answer readiness.

13|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/ulpi-io/browse --skill browse-aeo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: browse-aeo
Source: https://github.com/ulpi-io/browse/tree/main/skill/browse-aeo
Command: npx skills add https://github.com/ulpi-io/browse --skill browse-aeo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

AEO audits and SERP analyses help ensure that AI-generated answers are accurate, well-structured, and likely to be cited by AI systems by evaluating pages for structured data, heading hierarchy, meta quality, and presence of AI-friendly signals.

Core Features & Use Cases

  • Page Audit: Navigate to a URL, stabilize the page, extract structured data (schema), meta tags, headings, and content patterns to score readiness for AI answers.
  • SERP Analysis: Analyze how a query surfaces in AI-generated answers via AI Overviews, Perplexity, and other sources, identifying citation patterns and opportunities to improve signals.
  • Use Case: A content team audits a product page to ensure it ranks for a target query and yields a concise, verifiable AI snippet.

Quick Start

Run the AEO audit on a URL by executing browse goto <URL> followed by the Page Audit steps in order.

Frequently Asked Questions about browse-aeo

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

FAQPage Schema
How do I audit my webpage for AI answer optimization readiness?

To audit a webpage for AI answer optimization, navigate to the target URL and extract structured data, meta tags, headings, and content patterns. The audit evaluates these elements to score readiness and document actionable improvements for AI-generated answer visibility.

What is AEO and how does structured data impact visibility in AI overviews?

AEO, or AI answer optimization, ensures AI-generated answers are accurate and likely to be cited by evaluating pages for structured data, heading hierarchy, and meta quality. Proper structured data helps AI systems parse and surface content correctly in AI overview results.

How do I analyze SERP results to see how queries surface in Perplexity and AI overviews?

To analyze SERP results for Perplexity and AI overviews, run a SERP analysis on a target query. This identifies citation patterns and opportunities to improve AI-friendly signals, showing exactly how queries surface in AI-generated answers.

Does the AEO page audit evaluate heading hierarchy and meta tag quality?

Yes, the AEO page audit evaluates heading hierarchy and meta tag quality. It extracts structured data, meta tags, headings, and content patterns to score a page's readiness for AI answers and produce an evidence-backed report with dimension scores.

Can I get a structured report with dimension scores for my product analytics workflow?

Yes, you can generate a structured, evidence-backed report with dimension scores, findings, and high-impact recommendations. This report is suitable for deployment directly in a QA or product-analytics workflow to track and improve AI answer visibility.