Unlock Ecommerce SEO Strategies with AI for Organic Growth

In today’s digital landscape, where countless online stores are competing for attention, SEO is the guiding light to stand out from the crowd and achieve higher visibility and organic traffic. Statistics show that 44% of people start their online shopping with a search engine query.

The potential to reach these customers through SEO (search engine optimization) is vast and can increase sales and brand recognition. E-commerce SEO ensures your product pages appear in the top organic search results and improves sales. Of course, there are many more pages to explore.

Plus,  with the rise of IoT devices and programs, AI has become the center of attraction in e-commerce digital marketing, with 51% of e-commerce SEO company leveraging AI to jack up their marketing strategies.

But how? Let’s explore.

Potential of AI in Effective Keyword Exploration

The first step is identifying the high-value search terms your potential customers might use. With AI, the task becomes easy. AI will let you analyze user intent and predict keyword trends. Here’s how E-commerce SEO agencies utilize AI tools to explore effective keywords.

One of the tools to perform this task is Ahrefs’ Keyword Explorer

Enter a few broad keywords related to your category

• Visit the Ahrefs website.
• Go to the ‘Keywords Explorer page.
• Select the Matching Terms report.
• Look for the types of things you sell.

Check this example of a few keyword ideas for “smart TV:”

In the above image, you can see different keyword ideas for your seed keyword.

Besides Ahrefs, you can use ChatGPT by using the below prompt:

Prompt: What are the common keywords for SEO related to smart TV? Act as an SEO expert and provide a response based on the user’s query online.

Understanding User Intent Using AI

User intent, in the context of SEO, is understanding the motivation or purpose that drives a user to perform a specific search query.

There are generally four main types of user intent:

1. Informational Intent: Users look for information and answer questions.
   Example: Someone searches for “how to bake a cake.”
2. Navigational Intent:  Users try to reach a specific website or web page.
   Example: Searching for the name of a brand or company.
3. Transactional Intent: Users intend to purchase or engage in online transactions.
   Example: Buy a 4K smart TV” or “best budget smart TV.”
4. Commercial Intent: Users research and compare different products.
   Example: Searching for “best smart TV to stream entertainment” or “Smart TV vs. Android TV.”

Use an AI tool like SEMRush to understand search volume and user intent.

In the below image, see that the keywords ‘smart TV,’ ‘32 inch smart TV, etc. are for commercial intent, whereas ‘Samsung smart TV’ is for informational and navigational purposes.

Selecting the right keywords for your online retail store:

Narrow down and focus on the keywords that matter most. Start with a few key factors.

• The higher the search volume, the more potential traffic for your site. Ahrefs gives volume data, as do free tools like Google Keyword Planner.
• The lower the competition, the more likely you are to rank for the keyword. Again, Ahrefs will give you keyword difficulty/competition (KD).

Use Long-Tail Keyword Suggestions

Long-tail keywords are more specific and target search traffic. Having lower competition, they attract highly targeted traffic, better rankings, and higher click-through rates.

ChatGPT can help you generate long-tail keyword ideas when you input your target keywords. Use the prompt: Suggest long-tail keywords for ‘smart TV.

Examine Your Competitor’s Keywords

Using your competitor’s keywords in your content can enhance SEO by targeting relevant search terms. WordsSteam (an AI tool) can help you examine your competitor’s keywords.

Simply input your competitor’s URL, and the tool will present the associated keywords.

Use targeted keywords for both on-page SEO and off-page SEO. Use them on the Homepage, Product Pages, Category Pages, Blog, and Content Pages. Also, optimize your Title Tag, Meta Description, Heading Tags (H1, H2, H3, etc.), URL Structure, and internal links.

Enable AI-driven Dynamic Price Optimization

AI models and machine learning algorithms can analyze vast amounts of data, make accurate predictions, and recommend suitable pricing strategies, leading to increased sales and customer engagement.

Being an eCommerce SEO agency, try to implement AI-driven Dynamic Price Optimization.

• Gather historical data, customer behavior, competitor pricing, and market trends for your AI model to access and analyze.
• Define your business objective, whether it’s maximizing revenue or profit margins.
• Employ a suitable AI approach, such as machine learning algorithms or predictive analytics, and train it to capture reactions related to pricing changes.
• Implement a real-time monitoring system to track (KPIs) and optimize accordingly.
• Get AI-based pricing recommendations. Implement automated systems to adjust the price on your e-commerce platform in real time. Monitor the impact of price and fine-tune your AI model to ensure better results.

Many pricing software tools are available to provide data, software, and services for your needs.

AI-Based Conversion Rate Optimization (CRO)

AI helps improve your conversion rate throughout the website development cycle, reducing time spent on long A/B testing and manual optimization.

How to do it?

Gather user data related to their behavior, interactions, and conversions using Google Analytics, heatmaps, and session recording software.

• Create Your Google Analytics Account
• Go to the Google Analytics homepage
• Select “Start for free” in the top right-hand corner.

You’ll be directed to the account creation page, where you must fill out the following three sections:

• Name the Account: Choose something simple, such as your company’s name. If you have different accounts for different domains (or subdomains), differentiate them for simplicity.

For example, if you own an e-commerce store that has subdomains for different regions (i.e., johnlaptop.co.us for the USA and  johnlaptop.com for Australia), then you could name them John’s Laptop (US) and John’s Laptop (Australia), respectively.:

• Enter Your Property Details: In Google Analytics, “property” refers to any online asset you own, such as a website (www.yourstore.com)A GA4 account can be associated with more than one of these properties.

For instance,

• Set your property name as “yourshop.com” (the parent domain) if you want to monitor everything —your website, blog, and application—using a single account.
• Go for “blog.yourstore.com if you only want to track one of these properties, such as your blog.
• Enter your business information.
• Set up your data stream.
• Start collecting data from your website.

Related: A 5-Step Guide to Setting Up Google Analytics (GA4)

Accurate Conversion Rate Optimization

For accurate Conversion Rate Optimization (CRO), make sure to:

• Define your conversion goals. You may want your visitors to sign up, purchase, or download.
• Choose AI-enabled CRO tools such as dynamic content personalization, A/B testing platforms, and predictive analytics to analyze data, identify hidden patterns, and make the required changes.
• Use AI to segment your audience based on their preferences and demographics to create a personalized and target-oriented SEO strategy.
• Run A/B testing, analyze the test results, and make recommendations.
• Utilize predictive analytics to get insights into user behavior and conversion opportunities to meet your user’s needs.
• Monitor user interaction and conversions and improve SEO strategies in real-time.

Related: How to Master the Features of GA4 Even if You’re a Beginner.

Leverage predictive-based search

Predictive search means guessing searchers’ intent before they finish typing their query. This strategy is necessary for your SEO efforts, as Google focuses more on the user and their intent.

According to Google’s research, over 3.5 billion seconds can be saved daily using predictive search.

Google’s Predictive Search 

Using an AI algorithm, Google’s predictive search feature provides users with a dropdown list of suggestions.

So, you can see that predictive search will help find high-converting keywords that enhance the user experience and drive conversions.

Benefits of Predictive Analysis for E-Commerce:

• Offers a detailed view of customer behavior (past and present)
• Optimized marketing campaign to target individual customers
• Identify on-demand trends and patterns for products or services in your niche.
• Help in proactive risk management.
• Help build a more refined SEO strategy to improve ROI.
• Give you a competitive edge, helping you lead the trends.

Besides Google’s predictive search, you can use other predictive-based search tools, including FastSimon Search and Discovery, Klevu ‑ AI Search and Filter, and Searchanise Search & Discovery.

Conclusion: 

AI can be a powerful tool for your SEO efforts in the retail industry. Integrating these strategies into your eCommerce SEO with the help of eCommerce SEO agency can help you leverage AI capabilities for generating organic growth and ROI.

Let’s contact ResultFirst today to supercharge your e-commerce success with AI-driven SEO strategies. Unleash organic growth now!”

Also Read: 

6 Unique SEO Strategies to Increase ROI For Your Ecommerce Business

AI-Powered E-Commerce SEO Vs. Traditional SEO