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How to Improve Ecommerce SEO
Using Competitor and Search Data

In this article, we’ll look at four practical ways SEO specialists can use Serpstat to research competitors, plan a site structure, evaluate search demand, track rankings, and identify technical issues.
- Which keywords, content formats, and link-building tactics work in this market?
- Which routine tasks can be automated, including keyword research, site structure planning, technical checks, and rank tracking?
- Which product categories or content areas could help the business expand?
How can Serpstat help your e-commerce business with crucial goals? Let's consider four examples of automating tasks for e-commerce to turn organic search into a more consistent source of qualified traffic and sales.
Build an Ecommerce SEO Strategy with Competitor Analysis
Keep in mind that your organic search competitors may differ from your direct business competitors. These are the websites that rank for the same commercial and informational keywords as your store.
How to solve this task?
- Choose keywords for further analysis and copy them to the clipboard:

- Use these keywords to obtain SERPs via Crawling service in a particular region. Since these domains rank high and are already at the top, we can research their keyword data, structure, and metrics. In order to identify the peculiarities of the business processes and content strategy of the industry leaders, a detailed analysis of the content will be necessary.
Prices for different products are also available in the results:

Start your first project with the help of our specialists.
Plan an Ecommerce Site Structure with Keyword Data
Keyword data can help you plan category and subcategory pages, improve navigation, and connect commercial pages with relevant informational content. For building your good optimized website structure, and setting up your catalogs and navigation, you have to collect the most complete keyword list, which will not only connect you with the target audience but also help convert traffic into sales.
This is how we identify a keyword list that will lead to conversions, not just visitors. Use filtering to get more accurate results. If a keyword has high search volume and high difficulty, it will be easier to target more specific long-tail keywords to rank better in organic search.

To automate this routine, you can start keyword research using clustering from scratch.
Review the clusters manually before using them in the site structure. Remove irrelevant queries, separate keywords with different intent, and avoid creating multiple pages that target essentially the same query. Such analysis will give you the opportunity to:
- Restructure clusters and move non-target keywords to separate clusters or delete them;
- Create new pages based on clustering, and prepare technical requirements for your copywriter;
- Build a structure for a new store, based on clustered keyword data:

When the project is ready, check not only ready groups but also the connection strength between the keywords (how close that search terms are to the cluster's topic on a scale from 0 to 100%) and the homogeneity (the semantic consistency of a cluster, from 0 to 100%), if these metrics are still available in the current interface.


- Homepage;
- Product category and subcategory pages;
- Product pages;
- Brand pages;
- Promotional and seasonal landing pages;
- Buying guides and educational articles;
- Product comparison pages;
- Video demonstrations and FAQ pages.
Estimate Search Demand for Products and Categories
If your website is already running and you want to compare demand to different categories, using competitors' sites, you can check them via the Rank Tracker and re-optimize specific pages for other terms to rank better.

Identify Technical Issues and Assess Site Health
Using the Serpstat website SEO audit tool, you can not only control the performance of a page but also get suggestions on improvements. Considering the scale of an e-commerce site, this analysis will save you a lot of time.
- HTTPS and security issues;
- Titles, descriptions, and H1 tags;
- Broken internal links;
- Redirect chains;
- Duplicate pages and meta tags;
- Canonical tags;
- Image optimization;
- Structured data;
- Crawlability and indexability;
- Page performance.
To run such a technical audit, insert the URL and start the analysis.
Conclusions
Competitor research can reveal market opportunities, keyword data can support the site structure, demand trends can improve planning, and regular audits and rank tracking can help identify problems before they significantly affect visibility.
Automation does not replace SEO analysis, but it can reduce repetitive work and give teams more time to review data, prioritize opportunities, and improve the shopping experience.
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