How is AI Redefining SEO and Digital Marketing?

Anjum Siddiqui
Globant
Published in
11 min readMay 20, 2024
Black background image with lots of elements in it a desktop a, a cup of tea, a mobile and AI representation
This is an AI-generated image from Bing

AI or artificial intelligence has impacted our lives to a great extent. We use maps software programs to know about traffic congestion, accidents, or road closure alerts, and we also use commuting apps like Ola and Uber to predict pickup times, ride times, etc. AI comes as a savior for us nowadays.

This is just one example of a commute. We use AI daily in some or the other way in our day-to-day tasks. Be it using SIRI, Google, Alexa or email, Facebook, Instagram, Netflix, and so on. In short, AI is everywhere!

AI has been here for a while now, and we all know what AI is and what its capabilities are. However, its integration into digital marketing strategies has opened up a world of possibilities, enabling marketers to use its power to gain deeper insights, optimize campaigns, and deliver personalized experiences at a scale.

Let’s look at some of the eye-opening statistics about AI in Marketing and learn more about what the future holds for us.

Global market size forceast for AI in marketing.
Source:.Precedence Research
80% marketers worldwide integrate some form of AI in their online marketing activities.
Source: Precedence Research
88% marketers believe that to stay ahead of the competition and meet the customers expectations they must implement AI technology.
Source: Mailchimp

The numbers clearly show that AI is the way forward. You should incorporate AI into your operational framework not just as an option but as a necessity to keep up with your competition.

AI in Digital Marketing

Artificial Intelligence may have the greatest impact on marketing out of all business functions.

The core of marketing is identifying customer needs, matching your products and services to those needs, and persuading your customers to buy your products. Artificial intelligence can dramatically improve these aspects. We have already seen all the useful statistics that prove this to be true.

Understanding the role of Artificial Intelligence in marketing

Artificial intelligence has revolutionized the way marketers connect with customers, analyze data, and drive business results. Let’s look at some key roles of AI in marketing:

  • Data Analysis and Insights: Marketers can analyze data quickly and effectively using AI algorithms. It also helps marketers extract valuable insights from data in a fraction of the time. It enables them to identify consumer preferences, trends, and patterns by processing data from various sources, such as customer interactions, website behavior, and social media engagement.
  • Hyper-Personalization: The ability of AI to maximize customer satisfaction through personalization is one of its most important contributions to marketing. By leveraging machine learning algorithms and data points, AI enables marketers to deliver highly targeted and relevant content to their customers based on their preferences, behavior, and past interactions.
  • Predictive analytics: AI-powered predictive analytics tools can predict future trends and anticipate customer needs. This helps marketers optimize their marketing strategy by analyzing historical data and identifying patterns. As a result, AI helps businesses make data-driven decisions and stay ahead of the competition.
  • Automation: AI automates repetitive tasks and processes, helping marketers focus on strategy. From email marketing and content creation to ad targeting and campaign optimization, AI-powered automation tools streamline workflows and improve efficiency.
  • Customer Service: AI chatbots and virtual assistants can recognize and respond to customer inquiries in real time by leveraging natural language processing and machine learning. This helps improve satisfaction and loyalty and provides instant assistance to customers, enhancing the overall customer experience.
  • Content Creation and Optimization: AI technologies such as natural language generation (NLG) and natural language processing (NLP) enable marketers to create and optimize content more effectively. AI-powered tools can generate personalized content, optimize for search engines, and analyze performance metrics to improve content strategy.

8 applications of AI in Digital Marketing

In today’s hyper-connected digital landscape, businesses are increasingly turning to artificial intelligence (AI) to enhance their marketing efforts. Let us look at eight compelling applications of AI in digital marketing that are revolutionizing the way brands engage with their audiences and drive results.

8 applications of AI in Digital Marketing
  • Chatbots: We all encounter chatbots whenever we visit any websites. Chatbots are gaining more popularity in conversational marketing for many reasons. Chatbots, powered by AI contribute significantly to marketing by providing unmanned client support services that eventually lead to sales improvement. It is a great example of using machine learning in digital marketing. These chatbots are cost-effective and quite efficient in resolving most of the queries, and they are also extremely helpful in tracking customer behavior and providing product recommendations based on the input keywords. These chatbots also have the potential to learn based on the queries they receive and answer, just like humans.
  • Personalized user experience: Have you ever noticed how these shopping websites always know what you want? How do they always send notifications of the product you are talking about? AI helps marketers create profiles of their customers based on their preferences, likes, and dislikes on other websites and then provide real-time product recommendations. This helps marketers to create marketing campaigns based on customer preferences.
  • Web Designing: Website designing is now just a click away using AI-powered tools like Wix, Grid, etc. You can create websites without prior knowledge of HTML, CSS, and JavaScript.
  • Content Writing: To improve audience engagement, businesses often publish relevant and informative content on their websites as blogs or articles. With AI-powered tools like ChatGPT, Jasper, etc., it has become very easy to create long and short-form content. This is very useful for small businesses who cannot afford to hire a content writer.
  • Image Recognition and Visual Search: We all are familiar with Google Lens now. It helps us to get similar results by just uploading an image. This technology is what we call image recognition and visual search. If we take a look, all the shopping websites are now integrating this AI application for image recognition and visual search with the intent to make the shopping experience for their customers more convenient. These applications are also revolutionizing the way marketers traditionally recommend products based on keywords, now they can do it by showing similar-looking products that the customers are searching for.
  • Email Marketing: Email marketing is still one of the best marketing tools with high conversion rates. However, it can be challenging for marketers to send personalized emails while focusing on other marketing aspects. AI has revolutionized email marketing by enabling personalization, predictive analytics, and automation. A marketing automation platform customizes campaigns according to customer preferences, forecasts customer behavior, and streamlines workflows. Dynamic content, smart send times, and enhanced deliverability are some ways AI optimizes engagement and conversion rates.
  • Online Advertising: Online advertising is one of the core areas of digital marketing. ⁤⁤In addition, it has embraced AI and machine learning for targeting, ad placement, and content personalization. ⁤⁤With artificial intelligence algorithms, marketers can target specific audiences for their ads and predict behavior. ⁤⁤Dynamic ad creation adapts content in real-time, ensuring relevance and engagement. ⁤⁤AI-driven bidding strategies adjust ad spending based on performance metrics to maximize ROI. ⁤⁤Automated ad placement selects the most effective channels and formats for optimal reach. Personalized recommendations and A/B testing leverage AI to enhance ad creatives. ⁤⁤Overall, AI helps marketers deliver more impactful campaigns to achieve higher conversion rates and ROI to stay ahead of the competition. ⁤
  • Gathering and Analyzing Data: Utilizing AI for data analysis helps businesses understand what customers are willing to pay and what features they need, offering a significant edge to marketers. AI tools enable them to predict trends, optimize pricing, and fine-tune product offerings to meet consumer demand. This strategic use of AI not only boosts marketing effectiveness but also drives profitability. As AI becomes more integrated into marketing strategies, it is essential for businesses seeking a competitive advantage to adopt these technologies for smarter, data-driven decision-making.

Case studies highlighting successful AI integration in marketing campaigns

Let us look at some real-world examples of how AI has been successfully integrated into marketing campaigns and the transformative impact it has had on brand engagement, customer satisfaction, and overall business success.

Nike’s “By You”

Nike by you — shoe image which shows the possibilities of customisation.
Source: Gretelny

Nike’s “By You” was a one-of-a-kind AI-powered campaign that gave the user a unique experience by offering them shoe customization. Users can customize their shoes based on their liking, be it any color or element they want to add. They can do this by visiting their store or online as well. They need to choose from any available standard shoe model and customize it to their liking.

This campaign gives customers a sense that the brand cares about what they like. Moreover, it generated sales and consumer insights by deep diving into what delighted the consumer and applying the learnings to all their future releases.

Sephora’s Virtual Artist

Sephora virtual artist campaign image which shows how the makeup try on feature works
Source: Sephora

Sephora, a famous retail and beauty brand, sets the benchmark with its most unique campaign, “Virtual Artist.” It was launched to address Sephora’s marketing goal of enhancing customers’s shopping experiences. This campaign was a perfect blend of artificial intelligence and virtual reality, which aims to provide a solution to customers who struggle to find the perfect shade of the product. The campaign integrated machine learning into marketing to provide their customers with an immersive and interactive product testing experience. The AI marketing technique allows customers to try on different products virtually using their mobile devices and also recommends products by doing a proper facial analysis.

The campaign drew the utmost attention across the industry for the usage of technology in enhancing the customer experience. Also contributed to increasing sales and customer engagement for the brand.

Virgin Voyage “Jen AI”

Virgin Voyage — Jen AI campaign which showcased Jennifer Lopez deep fake video.
Source: Virgin Voyages

Virgin Voyages created an AI campaign named “Jen AI” in July 2023 featuring the famous actress Jennifer Lopez. ( J.Lo.). This campaign was a great collaboration between Virgin Voyages, VMLY&R, and AI startup Deeplocal. This was a one-of-a-kind deep fake video campaign that was a perfect blend of celebrity power and AI, setting a benchmark in personalized marketing.

“With Jen AI, J.Lo. can customize an invite for you and your crew — and when you give her a little insight about what and how you want to celebrate, she’ll generate and send a highly personalized video inviting your crew on the celebratory voyage of your collective dreams,” states the official description.

Exploring the synergy between AI and SEO

The use of AI has significantly changed how we perform SEO (Search Engine Optimization) from data analysis, content creation, AI-powered analytics, and much more. Using AI, we can process large amounts of data very efficiently and accurately, identify patterns and trends, and optimize pages in real-time.

Overview of AI-powered SEO

AI SEO means using artificial intelligence to optimize your website’s visibility on search engines’ results pages. Using AI tools can speed up the process of content ideation and outline creation. Machine learning and NLP(natural language processing) make these tools powerful enough to do these tasks very quickly and with the utmost accuracy. As a result, you get more time to focus on your overall SEO strategy.

How AI is impacting traditional SEO practices

AI is changing how we do SEO in a bunch of cool ways — like analyzing data, understanding user intent, and making our content better. We’ve got machine learning, natural language processing, and handy automated tools all pitching in for this makeover. So, let’s dig into how exactly this magic happens.

Personalized search results: AI algorithms can understand user behavior, search intent, preferences, and historical data to deliver tailored and more specific search results. This can also be used to provide recommendations based on search intent to increase engagement and user experience.

Predictive Analysis: The ability of AI algorithms to predict trends and user behavior allows marketers to design more effective SEO strategies by knowing how marketing will look in the future.

Content creation & optimization: Many AI copywriting tools are available in the market, which can help marketers create and optimize content not just for keywords but also for user intent and relevance. These writing tools use NLP and machine learning to generate high-quality and engaging content. These tools can easily replicate writing styles and patterns and generate content that is more engaging for the audience and aligns with search engine trends.

AI-powered analytics: Analytics provides insights about how visitors interact with website content. By analyzing demographics, traffic source, conversion rate, etc., we can make data-driven decisions to optimize the content for better SEO rankings. While earlier, all the analytics reviewing and reporting was a manual task; AI is making a far-reaching impact and changing the way by giving options for automated reporting, custom insights, and much more. For example, GA4 has an AI-driven feature, the Insights panel, that uses machine learning to help you understand your data and act accordingly. It provides you with 2 types of insights-

  • Automated insights: Detects unusual changes in your data and notifies you automatically within the Analytics platform’s Insights dashboard. and
  • Custom insights: You create conditions that detect important changes in your data. You can optionally receive email alerts when the conditions are triggered, and you can view the insights on the Insights dashboard. There is a limit of 50 custom insights per property.

AI customer segmentation: By using AI customer segmentation tools, you can produce quality content by knowing your audience better. These tools enhance the segmentation and targeting of your audience with accuracy by analyzing consumer habits and crafting tailored micro-segments. As a result, we could have increased relevance and higher conversion rates with personalized content.

Real-time search updates: The most interesting part about AI is that it can learn from new data, provide search engines with real-time updates, and deliver fresh results. Using AI algorithms, the newly collected data is analyzed in real-time. Search engines use natural language processing techniques to analyze the context, sentiment, and relevance of data and update their indexes accordingly. These real-time updates are important for news topics, time-sensitive updates, and industries that are rapidly changing.

AI-enhanced multimedia search: Images and videos can be analyzed with AI to identify objects, scenes, faces, and emotions by search engines. AI is transforming the way we search for information, be it textual or visual. You can search using images to deliver rich search results. Bing uses AI to dynamically deliver images and videos, and this enables more accurate indexing and recovery of multimedia content, providing users with an unimaginable and exciting experience.

Conclusion

So far, we have learned a lot about AI-powered SEO, and we’ve highlighted its transformative impact on traditional SEO practices. From advanced data analysis to personalized user experiences, AI enhances SEO strategies by automating repeated tasks and providing actionable insights. AI also allows us to enhance creativity, efficiency, and effectiveness in our strategies.

AI proves to be a boon for creators, they can harness the power of AI tools for content creation, optimization, and distribution also elevate their work, engage audiences more effectively, and drive better results in the evolving digital landscape.

The future of SEO and digital marketing is increasingly intertwined with the capabilities of AI. Marketers must adapt to this ongoing evolution, leveraging AI-driven tools and technologies to stay ahead in the competitive landscape and unlock new growth opportunities.

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