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build-ai-visibility-panel

Builds evidence-bound AI-visibility prompt panels for tracking brand presence across answer engines.

663|47|Updated May 19, 2026
Search Tags:#measurement#ai visibility#answer engines#aEO#gEO#brand tracking#prompt panel
One-click install
npx skills add https://github.com/elvisun/newsjack --skill build-ai-visibility-panel
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: build-ai-visibility-panel
Source: https://github.com/elvisun/newsjack/tree/main/skills/build-ai-visibility-panel
Command: npx skills add https://github.com/elvisun/newsjack --skill build-ai-visibility-panel

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Marketing and PR teams lack a rigorous, evidence-based way to measure how their brand appears in AI answer engines like ChatGPT, Claude, Gemini, and Perplexity. This Skill turns a company URL and description into a comprehensive, source-cited prompt panel for AEO/GEO visibility measurement, replacing ad-hoc SEO keyword lists with a versioned measurement design.

Core Features & Use Cases

  • Evidence-bound prompt generation: Researches public sources, buyer language, and competitor evidence to build prompts across buyer jobs, journey stages, and B0-B5 proximity bands, with every prompt traceable to a source.
  • Contamination control and blinding: Generates unaided prompts in a target-blind context so brand names, slogans, and campaign terms never leak into the core panel.
  • Versioned machine artifacts: Produces a full artifact set (measurement charter, source manifest, prompt universe, QA ledger, panel YAML) with stable IDs, hashes, and resumable human approval gates.
  • Use Case: A product marketer wants to track whether ChatGPT recommends their SaaS tool for a buyer problem. Provide the product URL and description, and receive a provisional prompt panel with coverage matrix, QA ledger, and tracking plan ready for human approval.

Quick Start

Build an AI visibility prompt panel for my company using our website URL and a short description of what we sell.

Frequently Asked Questions about build-ai-visibility-panel

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

FAQPage Schema
How do I measure my brand's visibility in ChatGPT and other AI answer engines?▼

Provide a public URL and a plain-language description of your company or product. The skill researches public evidence, generates a prompt panel across buyer jobs and proximity bands, and produces a tracking plan with estimands, partitions, and review cadence.

What is an AI visibility prompt panel and how is it different from SEO keywords?▼

A prompt panel is a versioned set of evidence-backed questions run against AI answer engines to measure brand presence, citations, and framing. Unlike SEO keyword lists, every prompt traces to a source, a buyer job, and a defined measurement estimand with explicit denominators.

What inputs does the AI visibility panel builder require?▼

Only a public URL and a plain-language description are required. Optional inputs include business decision, target population, locales, competitors, surfaces, budget, and prior panels; without them the run produces a provisional directional panel with explicit assumptions.

How does the skill prevent brand-name bias in generated prompts?▼

It builds a contamination register of target terms and generates unaided prompts in a target-blind context that excludes brand names, slogans, and campaign wording. QA then verifies zero lexical leakage in the unaided core partition.

What are the limitations of an AI visibility panel?▼

Panels are conditional on their own prompt set and do not represent a probability sample, market share, awareness, or revenue attribution. A panel only becomes a frozen measurement instrument after four human approval gates; otherwise it remains provisional and directional.

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