veda-seo

Audit HTML pages for technical, on-page, Google, Yandex, and GEO SEO issues.

Updated Feb 17, 2026
One-click install
npx skills add https://github.com/VedaAstro/veda-skills --skill veda-seo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: veda-seo
Source: https://github.com/VedaAstro/veda-skills/tree/main/seo
Command: npx skills add https://github.com/VedaAstro/veda-skills --skill veda-seo

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires chalk, cheerio, dayjs, fast-xml-parser, fs-extra, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill replaces manual SEO triage with a structured audit workflow that quickly finds technical, on-page, search-engine, and GEO issues in HTML pages.

Core Features & Use Cases

  • Technical SEO checks: Reviews HTTPS, robots.txt, sitemaps, canonicals, redirects, indexability directives, and mixed content.
  • On-page analysis: Evaluates titles, descriptions, headings, internal links, image alt text, trust signals, and content depth.
  • Google and Yandex readiness: Assesses structured data, preview metadata, viewport support, snippet quality, and engine-specific signals.
  • GEO and AI-search support: Checks answer-first structure, question-led sections, citation support, author visibility, and chunkable content.
  • Use case: A marketer or SEO specialist can audit a landing page before launch and get prioritized fixes for search visibility and lead capture.

Quick Start

Ask the SEO skill to audit a URL and return prioritized technical, content, Google, Yandex, and GEO recommendations.

Frequently Asked Questions about veda-seo

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

FAQPage Schema
How do I audit a web page for SEO issues across Google and Yandex?

To audit a web page for SEO issues across Google and Yandex, parse raw HTML to review technical directives, structured data, and snippet readiness. This identifies indexability problems, metadata gaps, and content structure issues to generate prioritized fixes for search visibility.

What is GEO SEO and how does it affect AI search visibility?

GEO SEO is the optimization of content structure for AI-search visibility by ensuring answer-first formatting, question-led sections, citation support, and chunkable content. It affects AI search visibility by making HTML pages easier for engines to parse, extract, and cite directly in generated answers.

Can I check JSON-LD schema and preview metadata without rendering JavaScript?

Yes, you can check JSON-LD schema and preview metadata without rendering JavaScript by parsing raw HTML directly. This lightweight approach extracts static structured data, Open Graph tags, and canonical directives to validate snippet readiness and engine-specific signals efficiently.

How do I find technical SEO errors like missing canonicals or mixed content?

Find technical SEO errors like missing canonicals or mixed content by running a limited crawl or single-page audit that parses HTML and checks HTTPS, robots.txt, sitemaps, redirects, and indexability directives. This review quickly surfaces technical issues blocking search engine indexing.

Does this SEO audit check robots.txt and sitemap discovery automatically?

Yes, the SEO audit checks robots.txt and sitemap discovery automatically during the HTML parsing workflow. It reviews these files alongside canonicals and redirects to evaluate indexability directives and ensure search engines can properly crawl and access the target pages.

What is the best way to evaluate on-page content depth for search visibility?

The best way to evaluate on-page content depth for search visibility is to analyze HTML structure for headings, internal links, image alt text, and trust signals. This review identifies thin content and missing structural elements needed to improve lead capture and search rankings.