Quickstart

Documentation Index

Fetch the complete documentation index at: https://ardocs.autonome.in/llms.txt

Use this file to discover all available pages before exploring further.

​

Step 1 — Create your project

Go to agentrank.autonome.in and start the onboarding flow. Enter your store URL and brand name. AgentRank uses your storefront to discover likely product topics and generate an initial prompt set.

​

Step 2 — Choose your markets

Select the geographic markets you want to track — currently United States and India are supported. You can track one or both. Each market has its own result set, so visibility can differ meaningfully between regions.

​

Step 3 — Review your topics

AgentRank suggests topics: the product areas your brand competes in. For example, a hiking gear brand might see topics like:

• Trail running shoes
• Hiking boots
• Waterproof jackets
• Trekking poles

Review the list, remove anything that does not fit, and add any missing categories. Topics determine which prompts AgentRank will suggest and organize later reporting.

​

Step 4 — Review your prompts

Based on your topics, AgentRank generates tracking prompts: the actual buyer queries it will run on your behalf. These are real queries like:

• “best trail running shoes for technical terrain”
• “hiking boots for wide feet comparison”
• “waterproof jacket for Pacific Crest Trail”

Each prompt has an intent and later resolves into a shopping mode such as Carousel or Research. Keep the most relevant prompts active, and move weak ones out of the set.

​

Step 5 — Wait for the first tracking run

Once you confirm setup, AgentRank starts the first tracking run. When it completes, your workspace begins populating with metrics, sources, competitors, and recent responses.

​

Step 6 — Read your Overview

Your Overview becomes the main place to work from day to day. It shows:

• Visibility, Share of Voice, Avg Rank, and Sentiment
• Competitor performance across the same prompt set
• Source intelligence showing which domains were cited
• Recent responses so you can inspect what the model actually said
• Diagnostic score previews if you are on a paid plan

Your public dashboard is also shareable with stakeholders once your project has data.

​

What’s next