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seo-seranking

Calculate brand AI share-of-voice across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode.

Updated Aug 23, 2026
Search Tags:#competitor analysis#seo#brand mentions#ai visibility#ai overviews#share of voice#seranking
One-click install
npx skills add https://github.com/avalonreset/seo-dungeon --skill seo-seranking
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: seo-seranking
Source: https://github.com/avalonreset/seo-dungeon/tree/main/extensions/seranking/skills/seo-seranking
Command: npx skills add https://github.com/avalonreset/seo-dungeon --skill seo-seranking

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you measure whether your brand is being cited by major AI experiences, so you can quantify AI visibility and compare it over time instead of relying on guesswork.

Core Features & Use Cases

  • AI Share-of-Voice scoring: Computes platform-specific citation rates for your brand across ChatGPT, Gemini, Perplexity, AI Overviews, and AI Mode using sampled responses and confidence notes.
  • Visibility research routes: Pulls supporting SE Ranking data such as top organic positions with SERP features, backlink profiles, and competitor/shared-keyword gaps.
  • Decision support & guardrails: Provides cost awareness for AI visibility queries and guidance for when to delegate to related skills for deeper auditing or narrower platform focus.

Quick Start

Ask for your brand’s AI share-of-voice across major AI platforms by running: /seo seranking ai-visibility <brand>.

Frequently Asked Questions about seo-seranking

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

FAQPage Schema
How do I measure brand visibility and share of voice across AI platforms?▼

You measure brand AI visibility by calculating share of voice from sampled responses across ChatGPT, Gemini, Perplexity, Google AI Overviews, and AI Mode. This process provides platform-specific percentage metrics and confidence-weighted reporting.

What is AI share-of-voice scoring and how does it track competitor citations?▼

AI share-of-voice scoring computes platform-specific citation rates for your brand across major AI models using sampled responses. It helps quantify competitive visibility tracking and benchmark platform-level citations over time.

How do I track AI Overviews and Perplexity citations for my brand query?▼

You track AI Overviews and Perplexity citations by analyzing sampled responses for a specific brand query. The system returns platform-specific percentage metrics with sampling confidence notes to evaluate your AI discovery workflow.

Do I need an SE Ranking API key to calculate AI visibility metrics?▼

Yes, you need an SE Ranking API key exposed to the Codex runtime as SERANKING_API_KEY. This credential is required to pull supporting data like top organic positions, backlink profiles, and competitor keyword gaps.

Does this approach work for competitive visibility tracking on ChatGPT and Gemini?▼

Yes, this approach measures competitive visibility tracking by calculating citation rates across ChatGPT and Gemini. It pulls supporting SE Ranking data to identify shared keyword gaps and benchmark platform-level citations.

What are the limitations when tracking AI share of voice with sampled responses?▼

A key limitation is the reliance on sampled responses, which requires sampling confidence notes for accuracy. Additionally, users should maintain cost awareness for AI visibility queries and delegate to deeper auditing when narrower platform focus is needed.

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