E-commerce Data-Driven SEO strategies: Unlocking Growth with AI

As the e-commerce industry continues to evolve, it’s essential for businesses to have a robust digital marketing strategy in place to maximize ROI and drive sales. One important aspect of this strategy is using data to optimize SEO campaigns. By analyzing data such as search engine rankings, website traffic, and conversion rates, businesses can identify which tactics are working and make adjustments for better results.

Why Data is Critical for SEO

Data is crucial for SEO because it allows businesses to understand their target audience and make data-driven decisions about their marketing strategy. According to a study by McKinsey, companies that prioritize data-driven decision-making are 23 times more likely to acquire customers, 6 times as likely to retain them, and 19 times as likely to be profitable as a result.

One way to leverage data in e-commerce SEO campaigns is by using AI and machine learning. These technologies can analyze large amounts of data and predict consumer behavior. For example, AI can analyze data on search queries, clicks, and conversions to identify patterns and trends that would be difficult to spot with traditional methods. This can help businesses to make more informed decisions about their SEO campaigns and improve their chances of success in the highly competitive e-commerce landscape.

AI and Machine Learning in SEO

AI and machine learning can also help optimize SEO in real-time. By analyzing data on search queries, clicks, and conversions, AI can identify keywords and phrases that are most likely to drive traffic and conversions. One trending example is Chat GPT created by OpenAI and funded by Elon Musk, as well as Microsoft. The tool is very promising and can analyze a vast amount of information quickly. This can help businesses to optimize their website and content for those keywords, resulting in higher search engine rankings and more visibility. Additionally, AI can also identify new opportunities for expansion and growth.

On-Page SEO and AI

On-page SEO for e-commerce can be a complex and time-consuming task, but it is essential for businesses to optimize their website to rank higher in search engine results and drive more traffic to their site. One of the most effective ways to improve on-page SEO is by using AI and machine learning technologies. These technologies can analyze large amounts of data and make predictions about consumer behavior, helping businesses to identify areas where they need to make improvements.

One of the key ways AI and machine learning can assist with on-page SEO is by analyzing data on search queries and user behavior. This information can be used to optimize website content and meta tags to ensure they are relevant and targeted to specific keywords. AI can also assist in identifying and fixing technical SEO issues on the website, such as broken links and duplicate content. Additionally, AI and machine learning can also be used to optimize website design, layout, and user experience, resulting in higher conversion rates and better user engagement.

Another important aspect of on-page SEO is the generation of quality and engaging content. AI and machine learning can be used to analyze data on consumer behavior and preferences, which can be used to create personalized content that resonates with your target audience. This can help to improve customer engagement and drive more sales in the long-term.

E.g. we went to the Bosch’s UK website and analyzed one of their landing pages targeting “Pressure washers for DIYers”. We took the content for this page and put it into the AI software. We then asked it a bunch of questions.

Q1: We asked if the page is optimized for the provided keywords.

AI: The page appears to be optimized for the keyword “Pressure washers for DIYers.” The page includes the keywords “high-pressure washers” and “cordless outdoor cleaners” which are related to “Pressure washers for DIYers”. The page also describes the features and benefits of using Bosch’s Aquatak High-Pressure Washers, which is relevant to the keyword. However, there are some areas for improvement to make the page more optimized for the keyword:

  • Use the keyword “Pressure washers for DIYers” more frequently throughout the page, especially in the headings and subheadings.
  • The keyword could be added to the meta title and meta description of the page to help search engines understand the content of the page.
  • The keyword should be included in the first 100 words of the page, as it will help search engines understand the main topic of the page.
  • Use synonyms of the keyword such as “DIY pressure washers” or “home pressure washers” to help search engines understand the context of the page.

Overall, the page has some good elements of on-page optimization for the keyword but could be improved by including the keyword more frequently and in key locations on the page.

Q2: We asked if the current title is SEO optimized based on the targeted keywords in the copy of the landing page.

AI: The title includes the main keyword “Pressure washers for DIYers” which is relevant to the content of the page. Additionally, including the brand name “Bosch DIY” in the title can help to establish the page’s brand authority and increase the click-through rate.

However, there are still some things that can be improved:

  • The title should be written in a way that accurately reflects the content of the page, while also being compelling enough to encourage users to click on it.
  • Use the brand name at the end of the title, as it will give more weight to the main keyword.
Q3: We then asked for a better title based on these recommendations.

AI: The software came back with the following recommendation: “High-Quality Pressure Washers for DIY Projects | Bosch Aquatak Range”

The title is 68 characters which fits in the recommended range of 50-70 characters. It also includes the most important keywords and mentions the brand of the pressure washer. This is great because some people are already familiar with that range of appliances, and they would search for it.

Q4: Finally, we checked the meta description. Although meta descriptions don’t affect rankings directly they still have an integral part in the on-page SEO and CTR.

In this case, the chatbot came up with a meta description that is not bad but is above the recommended characters threshold. 

Here’s an example: “Get high-quality and durable pressure washers for your DIY projects. Bosch’s Aquatak range offers the highest safety standard and perfect results. Find the perfect pressure washer for your needs, shop now!”

We then asked the AI to optimize the meta description to fit the recommended character limit of 150-160 symbols.

It did optimize it and the final result is “Get high-quality & durable pressure washers for DIY projects. Bosch Aquatak range offers perfect results. Shop now for the best pressure washer for your needs”

Given the fact that these types of AI chatbots have limited knowledge and are still in a relatively early phase of development, we’d say that the results are more than good. At the very base level, it could give users ideas on how to further improve their On-Page SEO.

Competitor Analysis & Backlink Acquisition

AI can be used to conduct competitor research and identify good placements for backlinks by analyzing a variety of data points. Here are a few steps businesses can take to use AI to find good placements for their backlinks:

  1. Collect competitor data: The first step is to collect data on your competitors’ backlinks. This can be done using a tool such as Ahrefs, SEMrush, or Majestic. These tools can help you to identify the websites that are linking to your competitors and the anchor text they are using.
  2. Analyze data: Once you have collected the data, you can use AI to analyze it. AI algorithms can be used to identify patterns and trends in the data, such as the types of websites that are linking to your competitors, the anchor text they are using, and the relevance of the linking websites to your industry.
  3. Identify opportunities: Using the insights from the analysis, AI can help you to identify opportunities for your own backlinks. For example, if your competitors have a lot of backlinks from industry-specific websites, you can look for similar websites to target for your own backlinks. Additionally, AI can help you to identify relevant keywords and phrases that your competitors are targeting with their anchor text and use this information to inform your own link-building strategy.
  4. Monitor and optimize: Once you have identified potential opportunities, it is essential to monitor your backlink profile and optimize your strategy over time. AI can help you to continually monitor your backlink profile and make adjustments as needed. For example, if you notice a decline in the quality of your backlinks, AI can help you to identify the cause and make adjustments to your strategy to improve the quality of your backlinks.

AI can be a powerful tool for businesses looking to find good placements for their backlinks. By using AI to conduct competitor research, identify opportunities, and monitor and optimize their strategy, businesses can improve their backlink profile and drive more traffic to their site.

Using the same example as above, exported a backlink profile with the top 200 backlinks sorted by DA (Domain Authority) pointing to We then asked one of the trending AI software to analyze this and provide us with examples of potential placements broken down into different types of websites. We can use this information to create a campaign for these domains and more. Note that this is just a small example based on a limited number of backlinks. 

“Some examples of websites that may be relevant to place articles similar to those on include:

  • Technology and industry websites: sites such as Wired, The Verge, and Gizmodo that cover technology and innovation news and trends.
  • News outlets: sites such as BBC, CNN, and The New York Times that report on business and technology news.
  • Blogs and forums: sites such as Medium, Reddit, and Quora that allow for user-generated content and discussions.
  • Social media platforms: sites such as Twitter and LinkedIn that can be used to share content and engage with a wider audience.
  • Trade publications and portals, such as Automotive News, Automotive World, and Transportation Today
  • Professional engineering and manufacturing sites such as Engineered Systems, Machine Design, and Manufacturing Engineering.”


In conclusion, data is an essential component of a successful e-commerce digital marketing strategy. By using data to inform SEO efforts and utilizing AI and machine learning technologies, businesses can optimize campaigns in real-time, personalize customer experiences, allocate marketing budgets more effectively, and drive more sales. As the e-commerce industry continues to evolve, data-driven decision-making and AI optimization will become even more important for businesses to stay competitive and successful in SEO.