citation-benchmark-harness

Name: citation-benchmark-harness
Rating: 5 (1 reviews)
Author: 1shtiaque

Runs a controlled experiment to measure how AI search engines (ChatGPT, Perplexity, Google AI Overview, Microsoft Copilot) cite brands in any category, with a held-out control cohort to distinguish intervention effects from background drift. Uses Peec AI's MCP.

1stars

Updated 2 months ago

View on GitHub ↗License: MIT

How to add

/plugin marketplace add 1shtiaque/peec-citation-benchmark-harness

The exact command may vary by repository. Check the README on GitHub.

For the skill author

Drop this on your repo README

Shows your skill is listed on Skillteca, generates a backlink and trackable traffic.

[![Listada na Skillteca](https://www.skillteca.com.br/api/badge/citation-benchmark-harness/svg)](https://www.skillteca.com.br/skills/citation-benchmark-harness?utm_source=badge&utm_medium=readme&utm_campaign=badge)

#llm #mcp #ai

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Citation Benchmark Harness

A Claude Code / Cursor / Claude Desktop skill that guides you through setting up and running a controlled citation-rate experiment for any brand in any category.

When to invoke this skill

Invoke when the user says something like:

"I want to measure whether my [content / PR / feature launch] moved AI citations."
"Can you benchmark [category] against [competitors] in AI search?"
"Set up a controlled experiment for AI visibility."
"Run a Peec citation ben

[Description truncada. Veja o README completo no GitHub.]

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