Amazon SEO Keyword Research: A Data-Driven Guide for 2025

Introduction: Why Keywords are the Compass of Amazon SEO

In the vast, competitive ocean of Amazon, keywords are the compass that guides customers to your products. With over 60% of consumers starting their product search on Amazon, not Google, failing to optimize for the right keywords is like having an invisible storefront. This guide moves beyond basic keyword stuffing and introduces a data-driven, programmatic approach to Amazon SEO. We’ll explore how to leverage the Easyparser API to not just find keywords, but to build a scalable, automated system for market analysis and optimization.

Understanding the A10 Algorithm: The “Why” Behind Amazon’s Rankings

Before diving into keyword strategy, it’s crucial to understand Amazon's A10 algorithm. Unlike Google, which prioritizes information, Amazon’s algorithm is singularly focused on one thing: conversions. It ranks products based on their likelihood to sell. Key factors include:

• Conversion Rate: The percentage of visitors who buy your product.
• Sales Velocity: The speed and consistency of your sales over time.
• Keyword Relevance: How well your listing matches a customer’s search query.
• Customer Reviews: The quantity and quality of your product reviews.

A successful keyword strategy must align with these factors, targeting terms that not only attract traffic but also convert.

Traditional vs. Programmatic Keyword Research

Traditional keyword research often involves manual searches, spreadsheet management, and using tools that provide static data. While useful, this approach is time-consuming and doesn’t scale. A programmatic approach, using an API like Easyparser, offers a more powerful alternative:

A Step-by-Step Guide to API-Powered Keyword Research

Let’s walk through how to use the Easyparser API to build a powerful keyword research workflow.

Step 1: Extracting Search Results for Seed Keywords

Start by identifying a few broad “seed” keywords for your product. For example, if you sell a yoga mat, your seed keywords might be “yoga mat,” “exercise mat,” and “pilates mat.” You can then use the Easyparser API to pull the top search results for each of these terms.

Here’s a Python code snippet showing how to make a request to the Easyparser API for the keyword “yoga mat”:

import requests
# Set up the request parameters
params = {
"api_key": "YOUR_API_KEY",
"platform": "AMZ",
"operation": "SEARCH",
"keyword": "yoga mat",
"domain": \.com"
}
# Make the HTTP GET request to Easyparser API
response = requests.get("https://realtime.easyparser.com/v1/request", params=params)
search_results = response.json()
print(search_results)

Step 2: Analyzing Competitor Listings at Scale

The API response will contain a wealth of data on the top-ranking products, including their titles, ASINs, prices, and ratings. You can now programmatically analyze this data to identify patterns. For example, you can extract all the words used in the titles of the top 10 products to see which keywords are most common.

Step 3: Building a Keyword Opportunity Matrix

By running this process for multiple seed keywords, you can build a keyword opportunity matrix. This matrix can help you identify high-opportunity keywords that your competitors are using, but you are not.

Optimizing Your Listings with Data-Driven Keywords

Once you have your list of target keywords, it’s time to integrate them into your product listing.

• Product Title: This is the most important place for your primary keywords. Front-load your most important keyword and follow a clear structure: `Brand + Product Type + Key Feature + Size/Color`.
• Bullet Points: Use your bullet points to expand on your product’s features and benefits, naturally incorporating your secondary keywords.
• Backend Keywords: This is your space for keywords you couldn’t fit in your title or bullet points. Include long-tail variations, synonyms, and common misspellings. There’s no need to repeat keywords already used in your title or bullet points.

Conclusion: From Manual Labor to Automated Intelligence

By shifting from traditional, manual keyword research to a programmatic, API-driven approach, you can gain a significant competitive advantage on Amazon. You’ll not only save time but also uncover insights that are impossible to find manually. With a tool like Easyparser, you can build a scalable system for continuous market analysis and optimization, ensuring your products are always positioned for maximum visibility and sales.

References

1. The Ultimate Guide to Amazon SEO in 2025 - Intero Digital
2. Amazon SEO: 7 ways to improve your product's search...