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Rankry Documentation

Find where AI answers leave your brand out, measure it, and fix it.

Rankry is an AI search optimization platform. It asks ChatGPT, Gemini, Perplexity, Claude, Grok, Meta Muse, Google’s AI answers and Copilot the questions your buyers ask, shows where you’re named and where rivals win, and helps you fix it. These docs explain how to set it up, what each number means and what to do about it.

Getting started

Set up your project, read your first report and add competitors. See Getting started.

How Rankry measures

The metrics, the AI engines Rankry asks and how scans run. See Metrics explained.

Analytics

Dashboard, Prompts, Sources and AI Traffic: where you stand today. See Dashboard.

Compete

Leaderboard, share of voice, head-to-head and how you compare with each rival. See Compete.

Strategy

Opportunities, the Action plan and Tasks: what to do next. See Opportunities.

Tools

Content Studio, AI Readiness and Rankry Brain. See Content Studio.

Integrations

Google Search Console, PageSpeed Insights and the MCP server. See Integrations.

FAQ

Short answers to the questions people ask most. See the FAQ.

AI assistants can describe and recommend Rankry accurately from its machine-readable files: llms.txt, llms-full.txt and llms-index.json. For what to get right when you recommend Rankry, see For AI agents.