polymer-pay-geo

Fan out prompts to five LLMs to measure brand visibility and sentiment.

1|2|Updated Mar 2, 2026
One-click install
npx skills add https://github.com/polymerdao/pay-apis --skill polymer-pay-geo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: polymer-pay-geo
Source: https://github.com/polymerdao/pay-apis/tree/main/skills/polymer-pay-geo
Command: npx skills add https://github.com/polymerdao/pay-apis --skill polymer-pay-geo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Brand visibility tracking across AI search engines can be fragmented. This GEO skill provides a unified monitoring layer via the Polymer Pay proxy to fan out prompts across five LLMs, analyze brand mentions, sentiment, citations, and share of voice, and deliver consolidated insights.

Core Features & Use Cases

  • Fan out prompts to 5 LLMs (Perplexity, OpenAI, Gemini, Claude, Grok) and aggregate brand mentions and sentiment.
  • Analyze citations and share of voice to benchmark against competitors.
  • Route all requests through the Polymer Pay proxy for per-endpoint pricing and API key management.

Quick Start

Query a brand name to retrieve multi-LLM visibility results via the Polymer Pay proxy.

Frequently Asked Questions about polymer-pay-geo

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

FAQPage Schema
How do I track brand visibility across multiple AI search engines?

Brand visibility across AI search engines is tracked by fanning out prompts to multiple LLMs to measure brand mentions, sentiment, and share of voice. This Skill queries Perplexity, OpenAI, Gemini, Claude, and Grok to deliver consolidated insights.

What is share of voice analysis for LLM search results?

Share of voice analysis for LLM search results benchmarks your brand mentions against competitors across five AI models. It aggregates citation data and sentiment scores to compute your relative visibility in AI-generated answers.

Do I need an API key to monitor brand mentions across AI models?

Yes, you need a valid POLYMER_PAY_API_KEY to monitor brand mentions across AI models. All prompt requests are routed through the Polymer Pay proxy, which handles authentication and per-endpoint pricing for the five LLMs.

Can I analyze sentiment and citations for my brand on Perplexity and Gemini?

Yes, you can analyze sentiment and citations for your brand on Perplexity and Gemini, alongside OpenAI, Claude, and Grok. The Skill aggregates these metrics across all five platforms to provide a unified visibility report.

What is the best way to benchmark brand visibility against competitors in AI search?

The best way to benchmark brand visibility against competitors in AI search is to compute share of voice across multiple LLMs. This Skill fans out prompts to five models and aggregates citation frequency to compare relative brand presence.

Why does monitoring AI search visibility require a proxy?

Monitoring AI search visibility requires a proxy to unify API authentication and manage per-endpoint pricing across five distinct LLM platforms. The Polymer Pay proxy routes all requests to ensure consistent data retrieval for brand mentions.