Why SEO Teams Should Use Amazon & E-commerce Keywords to Drive More Traffic and Impressions

For many SEO teams, keyword research starts and ends with Google Keyword Planner, Google Search Console, and traditional SEO tools. While these platforms are extremely valuable, e-commerce businesses have another powerful source of customer search behaviour that is often overlooked: Amazon and other e-commerce platforms.

Amazon is not just a marketplace. It is also a massive search environment where users search with highly specific product-focused queries. Those searches can reveal what customers actually want, how they describe products, which features matter to them, and which terms are closely connected to purchase intent.

Amazon’s Brand Analytics, for eligible brands, provides search-related insights including search queries, search volume, impressions, clicks, cart adds and purchases. This makes e-commerce search data a useful complement to traditional SEO research.

Here are some of the biggest reasons SEO teams should consider Amazon and e-commerce keywords as part of their strategy.

1. An Alternative Source of Keyword Data

One of the biggest challenges in SEO is finding enough reliable keyword data to build a comprehensive strategy.

Google Keyword Planner provides valuable information about search demand, while Google Search Console shows the queries for which your website is already receiving impressions and clicks.

However, Amazon can provide another layer of insight: what shoppers are actually searching for when they are looking for products.

Amazon’s Search Query Performance and Top Search Terms reports can show relevant customer search behaviour, including search queries and performance metrics.

This allows SEO teams to create a broader keyword universe by combining:

• Google Keyword Planner
• Google Search Console
• Google Trends
• Amazon search suggestions
• Amazon Brand Analytics
• E-commerce marketplace search data
• Competitor product listings
• Customer reviews and Q&A sections

Instead of relying on a single keyword source, SEO teams can compare multiple sources and identify opportunities that may not be obvious from Google data alone.

2. Discover High-Intent Commercial Keywords

Amazon searches are often closer to the purchasing stage of the customer journey.

For example, someone searching Google for:

may still be researching.

But an Amazon shopper might search:

These longer and more specific phrases can reveal strong commercial intent.

Amazon itself recommends keyword research to understand the terms shoppers use to find products and improve product visibility.

SEO teams can take these product-focused search terms and evaluate whether they should be targeted through:

• Product category pages
• Product pages
• Collection pages
• Blog content
• Buying guides
• Comparison pages
• FAQ sections
• Location pages

3. Find Long-Tail Keywords That Traditional Research May Miss

Long-tail keywords can be extremely valuable because they often describe a very specific requirement.

For example, instead of targeting only:

an e-commerce keyword research process may uncover variations such as:

• running shoes for flat feet
• running shoes for beginners
• lightweight running shoes for men
• running shoes for daily walking
• running shoes under ₹5,000
• waterproof running shoes for men

These variations can help SEO teams build highly targeted content and landing pages.

Amazon’s search bar itself can also provide useful autocomplete suggestions based on how customers search for products.

4. Use Customer Language Instead of SEO-Only Language

This is one of the most important benefits of e-commerce keyword research.

SEO teams sometimes create content around keywords that make sense from an SEO perspective but don’t necessarily reflect how customers describe a product.

Amazon product searches, reviews, questions and product listings can reveal the actual language customers use.

For example, a company may describe a product as:

Customers may actually search for:

That difference matters.

Using customer language in titles, headings, FAQs and supporting content can help websites better align their content with real search behaviour.

5. Identify Product Features Customers Care About

Amazon keyword research can also help identify the features people associate with a product.

For example, searches around a laptop may include:

• laptop with long battery life
• lightweight laptop for students
• laptop with 16GB RAM
• laptop for video editing
• laptop under ₹60,000

These keywords don’t just tell you what people search for. They tell you what features matter to potential customers.

SEO teams can use this information to build dedicated content around those features.

This can create opportunities for:

• Feature-based landing pages
• Comparison content
• Buying guides
• FAQ content
• Product category pages
• Internal linking clusters

6. Use Location-Based E-commerce Insights

Location is another potentially powerful opportunity.

Where reliable location-level sales or customer data is available, e-commerce businesses can analyse which regions are generating stronger demand for specific products.

For example, if data shows strong demand for a product in:

• Kolkata
• Mumbai
• Bangalore
• Delhi
• Hyderabad

the SEO team can investigate whether there is sufficient search demand and business justification to create dedicated location-focused landing pages.

For example:

However, location pages should not be created simply to generate pages. Each page should provide genuinely useful, location-specific information such as delivery availability, local service information, product recommendations, pricing considerations or customer needs.

This helps avoid creating thin or duplicate location pages.

7. Discover New Content Topics

Amazon can also work as a content ideation engine.

Product searches, reviews, FAQs and related products can reveal questions customers have before making a purchase.

For example, if customers repeatedly ask:
“Is this suitable for small rooms?”
that could become an SEO FAQ or blog topic.

If customers frequently compare two features, that could become:
“Feature A vs Feature B: Which Is Better?”

If customers are looking for a specific use case, that could become:
“Best Product X for Use Case Y.”

This creates content based on actual customer needs rather than simply generating generic blog topics.

8. Identify Keywords With Stronger Purchase Intent

Not every keyword has the same commercial value.

A keyword with thousands of searches may generate traffic but very few sales.

A more specific keyword with lower search volume may bring fewer visitors but much stronger buying intent.

Amazon’s Search Query Performance data can provide insights across stages such as impressions, clicks, cart additions and purchases for eligible brands.

SEO teams can use this information to prioritize keywords that appear to have a stronger connection to commercial activity.

9. Find New Category and Product Opportunities

E-commerce keyword research can reveal demand for products or categories that a website does not currently target.

Suppose an online furniture company primarily targets:
office chairs
but customer searches reveal strong demand around:

• ergonomic chairs
• gaming chairs
• executive chairs
• visitor chairs
• mesh chairs
• chairs for small offices

This could lead to new category pages and content clusters.

Keyword research therefore becomes more than an SEO exercise. It can contribute to business and product strategy.

10. Improve Existing Category Pages

Amazon keywords don’t always need to become new pages.

Sometimes the best opportunity is to improve an existing page.

Suppose a category page currently targets:
“Baby Feeding Products”
but research reveals related searches around:

• baby feeding bowls
• silicone feeding set
• baby suction plate
• baby feeding spoon
• toddler feeding accessories

These terms can be incorporated naturally into the category page, supporting content, FAQs and internal links.

This can expand the page’s topical relevance without creating unnecessary URLs.

11. Build Better Internal Linking Structures

E-commerce keyword research can help SEO teams create a more organised website structure.

For example:

Each keyword cluster can become part of a structured content and internal-linking strategy.

This helps search engines understand the relationship between categories, subcategories and supporting content.

12. Use Amazon Data Alongside Google Search Console

The real value comes from combining the data rather than replacing one source with another.

For example:

When these sources are combined, SEO teams can build a much more complete keyword strategy.

13. Identify Gaps Between Search Demand and Website Visibility

Another useful approach is to compare Amazon search opportunities with your existing organic visibility.

Suppose Amazon research identifies:
“best ergonomic office chair for home office”
but your website has no relevant page targeting that intent.

That becomes a potential content gap.

The SEO team can then evaluate:

1. Is there Google search demand?
2. Is the keyword relevant to the business?
3. Does the website already have a suitable page?
4. What competitors rank for it?
5. Should we optimise an existing page or create a new one?

This creates a more data-driven content roadmap.

14. Amazon Can Help Validate Commercial Demand

Traditional keyword tools tell you about search behaviour.

E-commerce platforms can add another important layer: shopping behaviour.

If a keyword or product category is associated with strong customer engagement and purchasing activity on Amazon, it can be a useful signal for SEO teams when evaluating commercial opportunities.

Amazon’s Brand Analytics includes metrics such as impressions, clicks, cart adds and purchases for eligible brands.

This does not mean an Amazon keyword will automatically perform well on Google. Instead, it provides an additional commercial signal that can help SEO teams decide which opportunities deserve investigation.

How SEO Teams Can Build an Amazon-to-Google Keyword Workflow

A simple workflow could look like this:

Final Thoughts

SEO teams should not think of Amazon as just another marketplace where products are sold.

It can also be a valuable source of customer search intelligence.

Amazon’s own tools provide insight into search terms, impressions, clicks, cart additions and purchases for eligible brands, while its search interface can provide additional keyword discovery opportunities.

The strongest SEO strategy is therefore not to choose between Google and Amazon.

It is to combine the two.

By combining these datasets, SEO teams can uncover new long-tail keywords, commercial opportunities, content gaps, product categories and, where reliable location data is available, location-based opportunities.

Ultimately, the objective is not simply to generate more keywords.

The objective is to discover better keywords that can generate more relevant impressions, traffic, engagement and revenue.