gemoniq-seo

Coordinate DataForSEO API calls, live page fetches, and JSON-LD schema generation for SEO and AEO workflows.

Updated Apr 15, 2026
One-click install
npx skills add https://github.com/realaman90/gemoniq-seo-skills --skill gemoniq-seo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemoniq-seo
Source: https://github.com/realaman90/gemoniq-seo-skills/tree/main/gemoniq-seo
Command: npx skills add https://github.com/realaman90/gemoniq-seo-skills --skill gemoniq-seo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The gemoniq-seo skill unifies traditional SEO and AI-focused visibility tasks into a single, script-driven workflow that orchestrates data retrieval, live page inspection, and JSON-LD schema generation to accelerate organic performance and AI citations.

Core Features & Use Cases

  • SEO research: seed keyword expansion, related keywords, and competitor gap analysis, plus live SERP inspection.
  • AEO audit: brand mentions in AI answers, AI Overview checks, extractability scoring, and robots.txt bot access checks.
  • Content production: generation of content briefs, JSON-LD schema (Article / FAQ / HowTo / Product), and schema validation.
  • References included: methodology and endpoint guide to support on-demand context.

Quick Start

Provide a seed keyword and run the full workflow to generate an SEO + AEO brief for your target.

Frequently Asked Questions about gemoniq-seo

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

FAQPage Schema
How do I automate keyword research and SERP analysis for multiple domains?

You can automate SERP analysis and keyword research by orchestrating DataForSEO API calls with live page fetches to expand seed keywords, inspect live SERPs, and run competitor gap analysis across multiple domains and languages.

What is an AEO audit and how does it check AI visibility?

An AEO audit checks AI visibility by scanning AI Overview answers for brand mentions, scoring content extractability, and verifying robots.txt bot access to ensure pages are eligible for AI citations.

How do I generate and validate JSON-LD schema for SEO content briefs?

Generate JSON-LD schema for SEO content briefs by creating structured data for Article, FAQ, HowTo, and Product types, then validate the output to ensure search engines can correctly parse and extract your content.

Do I need API credentials to run SEO and AEO workflows?

Yes, you need API credentials loaded from a .secrets.json file or environment variables to authenticate DataForSEO API calls required for keyword research, SERP analysis, and AI visibility audits.

Can I use Python scripts with BeautifulSoup for live page fetches in SEO audits?

Yes, the workflow uses Python scripts with BeautifulSoup and lxml to parse live page fetches, enabling real-time SERP inspection and content extractability scoring during SEO and AEO audits.