Creating a Custom SEO Solution Stack for E-commerce

E-commerce SEO is a different game than content SEO. You are optimizing thousands of product pages, tracking competitor pricing, monitoring search positions across multiple categories, and feeding structured data to your product feeds. Off-the-shelf SEO suites handle some of this, but a custom stack built on search APIs gives you full control over the data pipeline.

Why E-Commerce Needs a Custom Stack

Tools like Ahrefs and Semrush are designed for content marketers. They work well for blog-driven SEO, but e-commerce teams hit limitations quickly:

• Keyword tracking is capped at a fixed number of terms per plan
• Competitor analysis covers domains, not individual product listings
• Product-level SERP monitoring is not a native feature
• Data export is limited and not designed for automated pipelines

A custom stack solves these by giving you raw SERP data, product search results, and competitor pricing -- all as structured JSON that plugs directly into your existing systems.

The Core Components

A solid e-commerce SEO stack has four layers:

• SERP monitoring -- Track your product pages in Google results for target keywords
• Competitor price tracking -- Monitor competitor listings on Amazon and Walmart
• Keyword discovery -- Find new product-related queries using People Also Ask and related searches
• Content gap analysis -- Identify search queries where competitors rank but you do not

Building the SERP Monitor

The foundation is a scheduled job that queries your target keywords and records your position. Here is a basic implementation:

import requests

def check_serp_position(keyword, target_domain):
    response = requests.post(
        "https://api.scavio.dev/api/v1/search",
        headers={
            "Content-Type": "application/json",
            "x-api-key": "YOUR_API_KEY"
        },
        json={
            "platform": "google",
            "query": keyword,
            "mode": "full"
        }
    )
    results = response.json()["organic_results"]
    for i, result in enumerate(results):
        if target_domain in result.get("link", ""):
            return i + 1
    return None  # Not in top results

Run this daily for each keyword and store the results in a database. Over time, you build a position history that reveals trends and the impact of your optimization efforts.

Competitor Price Intelligence

For e-commerce, knowing your competitor's pricing is as important as knowing your search position. A search API that covers Amazon and Walmart lets you automate price monitoring:

def get_competitor_prices(product_name):
    platforms = ["amazon", "walmart"]
    prices = {}
    for platform in platforms:
        response = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={
                "Content-Type": "application/json",
                "x-api-key": "YOUR_API_KEY"
            },
            json={
                "platform": platform,
                "query": product_name
            }
        )
        results = response.json().get("results", [])
        prices[platform] = [
            {"title": r["title"], "price": r["price"]}
            for r in results[:5]
        ]
    return prices

Keyword Discovery from SERP Features

Google's People Also Ask and related searches are gold mines for product keyword ideas. When you query in full mode, the API returns these SERP features as structured data. You can extract new keyword ideas automatically and feed them into your content calendar.

For example, searching "wireless noise cancelling headphones" might return People Also Ask questions like "Are noise cancelling headphones worth it in 2026?" -- that is a ready-made blog topic or FAQ entry for your product category page.

Putting It Together

The stack runs as a set of scheduled jobs: daily SERP checks, hourly price monitoring for high-priority products, and weekly keyword discovery sweeps. All data flows into a central database and powers dashboards, alerts, and automated reports. Check the API reference for the full list of available parameters and response fields to customize your queries.