Overview

Finding keywords is easy. Choosing the right keywords is not.

Traditional keyword research provides thousands of keyword opportunities along with metrics such as search volume, relevance, click-through rate, and search frequency. While these insights are valuable, sellers often spend significant time evaluating which keywords best align with their products and business goals.

To simplify this process, we’ve introduced AI Keyword Prioritization within Keyword Research.

The new AI Layer analyzes keyword opportunities using multiple performance signals and business objectives to help sellers quickly identify the keywords most likely to drive results.

What’s New

A new AI Layer tab is now available within Keyword Research.

This enhancement goes beyond traditional keyword metrics by prioritizing keywords based on:

• Product relevance
• Business objectives
• Customer demand
• Competition levels
• Conversion potential
• Revenue opportunity

Instead of manually reviewing thousands of keywords, sellers receive a curated list of up to 50 AI-prioritized keywords that are most relevant to their specific goals.

How It Works

Step 1: Start a Keyword Research Session

Enter a seed keyword and generate keyword research results as usual.

Step 2: Open the AI Layer

Navigate to the new AI Layer tab located next to the Highly Relevant Keywords section.

Step 3: Enter Product Information

Provide details about the product you are researching.

This field is required and helps the AI understand the product context before prioritizing keywords.

Step 4: Select Your Business Objective

Choose a predefined business objective or enter a custom objective based on your specific goals.

Examples may include:

• Increase visibility
• Improve conversions
• Launch a new product
• Maximize revenue
• Custom objectives

Step 5: Start Analysis

The AI evaluates keyword opportunities and generates a prioritized list of up to 50 recommended keywords.

Understanding Priority Score

Each keyword is assigned a Priority Score to help determine its importance.

Priority levels include:

• High
• Medium
• Low

The score is calculated using multiple factors including:

• Product relevance
• Search demand
• Competition
• Conversion potential

This helps sellers quickly identify which keywords deserve immediate attention.

Data Sources & Signals Used

AI Keyword Prioritization leverages insights from multiple data sources and performance indicators, including:

Performance Metrics

• Search Volume
• Search Frequency
• Click Potential
• Conversion Potential
• Revenue Potential

Data Sources

• Brand Analytics
• Advertising Data
• Search Suggestions
• Search Query Performance Data
• Competitor Insights

These combined signals enable the AI to identify opportunities that may otherwise be difficult to spot through manual analysis.

AI-Powered Keyword Reasoning

Every recommended keyword includes an AI-generated explanation describing why it was selected.

The reasoning may include:

• Product relevance
• Demand indicators
• Competitive opportunities
• Conversion likelihood
• Business objective alignment

This transparency helps sellers make informed decisions instead of relying solely on scores or metrics.

Benefits

Faster Decision Making

Eliminate the need to manually review thousands of keywords.

Goal-Oriented Recommendations

Receive keyword suggestions aligned with specific business objectives.

Improved Keyword Selection

Focus on opportunities with the highest potential impact.

Greater Transparency

Understand exactly why each keyword has been prioritized.

Better Optimization Outcomes

Use data-backed keyword recommendations to improve listing visibility and performance.

Availability

AI Keyword Prioritization is available within Keyword Research through the new AI Layer tab.