Artificial Intelligence has been gaining ground in many areas of technology in recent years. Now, there are many ways we can implement it in our daily lives and in our work. Artificial Intelligence has already made its mark in sectors such as digital marketing. Want to know how it’s done and how you can benefit from it? We’ll tell you.
What is artificial intelligence applied to marketing?
Artificial Intelligence in digital marketing involves applying this type of technology (such as advanced algorithms and machine learning) to tools that serve to improve and automate marketing strategies.
In this sense, these are the most common uses of AI in marketing: predictive analytics, content personalization, customer service through chatbots, process automation, and price optimization. In the following section, we’ll discuss some of these and other very common uses in more detail.
Many companies are investing in this type of technology simply because it helps them sell more. In fact, according to HubSpot data, nearly 70% of Spanish and Latin American companies already use AI tools, a fact that demonstrates the rapid and widespread acceptance this technology has enjoyed in the business sector in these regions.
What is a prompt?
A prompt is the instruction or input given to an artificial intelligence model to generate a response. In the context of marketing, prompts are essential for obtaining relevant texts, images, analyses, or recommendations aligned with the brand’s objectives. The clearer, more contextualized, and specific the prompt, the better the results obtained. For example, asking “write an advertising copy for a sunscreen aimed at women between 30 and 45 years old who are concerned about aging skin” will generate a much more useful output than simply saying “make an ad for sunscreen.”
The ability to write good prompts has become a key competency for marketing teams, as it allows them to take full advantage of the capabilities of tools such as ChatGPT, DALL·E, or Midjourney. In short, the prompt is the bridge between the professional’s intention and the AI’s response, and mastering its use makes the difference between a generic result and a truly strategic solution.
AI for business: increased productivity and a focus on creativity
Artificial intelligence is no longer a promise of the future, but a real and accessible tool that is transforming the daily life of companies. One of its greatest current benefits is increased productivity: tasks that previously required hours of analysis, writing, or design can now be completed in minutes, freeing up time to focus on what truly matters.
This allows teams to focus their energy on creativity, strategy, and innovation, rather than getting bogged down in repetitive operational processes. From campaign automation to personalized content creation or predictive analytics, AI acts as a copilot that enhances human capabilities rather than replacing them. Furthermore, its ability to continuously learn and adapt to context enables faster, data-driven decisions. Ultimately, integrating AI into workflows not only improves efficiency but also drives a more agile, strategic, and focused business culture focused on delivering real value.
AI applications in different branches of digital marketing
Artificial Intelligence applied to advertising
AI has revolutionized digital advertising, enabling much more efficient, precise, and personalized campaign management. Thanks to massive, real-time data analysis, it’s possible to adjust budgets, segment audiences, personalize creatives, and automatically optimize results.
This can predict which type of ad will perform best based on the context, channel, and user behavior, significantly increasing advertising effectiveness. It also allows for identifying performance patterns and detecting anomalies in record time, helping to prevent wasted investment. It also facilitates dynamic ad creation, adapting text and images to different formats or audiences in seconds.
All of this shifts advertising strategies from reactive to proactive and predictive, improving both ROI and user experience. AI-powered advertising not only saves time and resources but also turns every impact into a more targeted conversion opportunity.
Artificial Intelligence applied to SEO
Search engine optimization ( SEO) has been enhanced by AI, making it easier to identify effective keywords and improve content to increase visibility. Tools like Surfer SEO allow SEO specialists to measure content quality and adjust their strategies with personalized suggestions to improve rankings. With the help of AI, more precise and faster adjustments can be made, significantly improving the chances of success in search engines.
Artificial Intelligence applied to inbound marketing and a content strategy
Artificial intelligence has become a fundamental ally for inbound marketing strategies and content creation. Thanks to AI-based tools, marketing teams can generate ideas, write texts, optimize articles for SEO, and adapt content to different formats and audiences much more quickly and accurately. This type of technology not only accelerates the creative process but also improves the quality and consistency of messages throughout the funnel.
In our daily work, we use AI to detect content opportunities, identify frequently asked user questions, and improve the writing of articles, ebooks, or social media copy. Although AI can produce texts autonomously, its true value is multiplied when combined with the strategic vision and final review of a human team. The key is to use it as a supporting tool, not a substitute, to ensure content is aligned with brand objectives and audience needs.
Artificial Intelligence applied to automation
Although marketing automation existed before AI, this technology has advanced its capabilities, especially in customer segmentation and campaign management. Today, platforms like HubSpot and ActiveCampaign use artificial intelligence to perfect lead nurturing automation and optimize campaign performance. Thanks to AI, these tools are able to perform repetitive tasks with greater precision, such as content scheduling or personalizing interactions with users, improving communication effectiveness.
Artificial Intelligence applied to CRO (Conversion Rate Optimization)
Conversion rate optimization (CRO) has benefited greatly from the advancement of artificial intelligence. Thanks to predictive models and automated behavioral data analysis, it’s now possible to identify friction points in the user experience, propose design improvements, and personalize content in real time. AI can analyze hundreds of variables—from time on page to clicks to navigation sequence—to detect patterns that affect conversion.
It facilitates the automation of A/B and multivariate tests, accelerating experimentation cycles and helping you implement the most effective changes without constant intervention.
And it allows you to offer personalized recommendations and adapt the user journey based on their profile and behavior, increasing the likelihood of conversion. With AI, CRO is no longer based solely on intuition or manual observation, but rather becomes a continuous, dynamic process supported by real-time data.
Artificial Intelligence applied to social networks (organic actions)
AI can also be applied to the organic actions we implement within our social media marketing strategy. For example, it can be used to generate and source content ideas, as well as to inspire us when designing a content calendar.
But there are also tools developed with this technology that help brands identify the most suitable influencers for each of their needs. However, one of the most interesting applications is sentiment analysis.
Sentiment analysis through AI allows companies to understand how their brand is perceived on social media. Platforms like Brandwatch use AI to analyze comments and mentions, extracting insights into positive, negative, or neutral user perceptions. This not only helps guide marketing strategies but also allows for the detection of emerging trends and rapid crisis management to minimize the negative impact on brand image.
Artificial Intelligence applied to social ads
Artificial intelligence has transformed the way social media advertising campaigns are designed and managed. Thanks to predictive models and machine learning algorithms, it is now possible to segment audiences with unprecedented precision, based on behaviors, interests, and interaction patterns. AI also makes it possible to personalize messages and creatives in real time, adapting them to the user’s context and thus improving conversion rates. Furthermore, it can automate bid adjustments, detect performance anomalies, and suggest strategy changes without manual intervention.
These capabilities not only increase campaign efficiency but also allow for scaling results with greater budget control and improved ROI. Ultimately, AI applied to social ads transforms what was once a manual and complex task into a dynamic, optimized process focused on the user experience.
Artificial Intelligence applied to SEM
In the field of Search Engine Marketing (SEM), artificial intelligence has brought about a qualitative leap in both campaign planning and optimization. Thanks to real-time data analysis, AI-based systems can automatically adjust bids based on each keyword’s performance, competition, or user behavior. They also facilitate the identification of long-tail keyword opportunities and the writing of highly relevant ads through automatic copy generation.
Additionally, they allow for rapid detection of performance drops or invalid clicks, helping to protect advertising budgets. Another key advantage is the ability to conduct continuous A/B testing without human intervention, which accelerates learning and constantly improves results.
By integrating AI into SEM, brands not only gain operational efficiency but also strategic agility, allowing them to quickly adapt to market changes and maximize ROI.
Artificial Intelligence applied to business intelligence
The application of artificial intelligence to business intelligence has multiplied companies’ ability to extract useful insights from large volumes of data. Thanks to the use of machine learning algorithms, it is possible to identify hidden patterns, anticipate market trends, and make more informed and strategic decisions.
AI enables the automation of data collection, cleansing, and visualization, reducing human error and accelerating the analytical process. Furthermore, AI systems can generate predictive reports that warn of potential risks or opportunities before they occur, helping companies stay ahead of the competition. In this context, business intelligence ceases to be a merely descriptive tool and becomes a proactive and predictive solution, capable of guiding decision-making with greater confidence and effectiveness. This evolution represents a clear competitive advantage for companies that know how to integrate artificial intelligence into their business analysis workflows.
Artificial Intelligence applied to Data Science
In the field of data science, artificial intelligence acts as a key accelerator for the development of predictive and prescriptive models. It enables the automation of complex tasks such as variable selection, model training, and cross-validation, reducing experimentation time and increasing accuracy. Furthermore, thanks to deep learning, previously intractable problems can be addressed, such as recognizing nonlinear patterns or predicting highly dynamic behaviors.
AI also facilitates the interpretation of results through explainable AI techniques, making models more understandable and reliable for business teams. All of this allows data scientists to focus on tasks of greater strategic value, such as problem definition, impact assessment, and solution implementation.
Ultimately, artificial intelligence does not replace data scientists, but rather enhances them, expanding their analytical capabilities and impact within the organization.
Artificial Intelligence applied to email marketing
With AI, email marketing can be personalized at a more advanced level, and campaigns can be optimized more accurately and quickly. Many email marketing tools are already powered by this technology and are capable of segmenting audiences very precisely (even based on user behavior) and increasing the relevance of campaigns thanks to AI-powered generation of elements such as subject lines, which improves open rates and conversions.
Another very interesting point is that Artificial Intelligence has enabled the automation and improvement of A/B testing within email marketing.
Artificial Intelligence applied to e-commerce
Online stores can now offer users more personalized experiences thanks to AI, which can adapt the website to each user based on their preferences and behavior, showing them products they’re most interested in.
All of this not only boosts sales but also improves the customer experience, increasing loyalty and satisfaction rates.
Additionally, within e-commerce, you can also implement customer service chatbots like the ones we discussed earlier so that visitors always feel supported.
On the other hand, AI can also manage inventory and predict demand volumes for items so that companies can manage their budgets more efficiently and reduce the extra costs caused by stock shortages or excess stock.
Artificial Intelligence applied to video marketing
With AI, videos can now be created much more quickly, with a smaller budget, and without taking up as much of your team’s time. There are tools for generating videos from text, editing videos, and even AI tools that allow you to use virtual avatars to be the protagonists of your content.
Additionally, there are AI sound generation platforms so you can include royalty-free music in your creations.
Artificial Intelligence applied to customer service
Chatbots have transformed customer service, offering immediate responses and improving support efficiency. Using tools like BotsLovers, virtual assistants can perform tasks that previously required human intervention, such as qualifying leads in real time, capturing key information from leads’ responses, and analyzing their interest, needs, and engagement level.
Thanks to AI, interactions are more fluid and natural, allowing salespeople to focus on more complex issues, while businesses reduce costs and offer 24/7 support.
Advantages and disadvantages of AI in marketing
Advantages of Artificial Intelligence
1. Automation of repetitive tasks
AI in digital marketing makes it possible to automate complex but repetitive tasks, freeing up teams to spend their time on more creative or strategic activities.
This also allows for increased productivity levels and the reduction of some human errors, making work more efficient.
2. Improved decision-making
In addition to better segmenting audiences, predictive AI in marketing is also useful for detecting market trends and patterns that help us make better strategic decisions and anticipate changes before the competition.
3. Optimization of processes and resources
AI in marketing can significantly optimize internal processes and reduce the resources needed to complete the work. In other words, more can be achieved in less time and with less investment. This is especially interesting for SMEs, but AI adoption by these types of companies in Spain is relatively low. According to the IndesIA barometer, only 2.13% of SMEs in Spain use Artificial Intelligence.
4. Improving competitiveness
The business sector, and especially the marketing sector, is constantly evolving. Investing in this type of technology is a way to drive innovation within an organization and remain competitive. In other words, today, if you as a company don’t want to be left behind, it’s imperative that you implement Artificial Intelligence in your marketing processes.
Disadvantages of Artificial Intelligence
1. Data dependency
For technologies like Artificial Intelligence to work optimally and be truly helpful, they need not only quality data but also a sufficient amount of it.
If data is incomplete, inaccurate, or scarce, algorithms are more likely to generate erroneous results and negatively impact the various purposes for which we use it.
This isn’t a problem in itself, but it becomes a concern when we consider that when using large volumes of data, we must develop robust privacy and security strategies to comply with regulations and rules.
2. Lack of empathy, creativity and human feeling
If we apply Artificial Intelligence to marketing, we must do so strategically. Although there are tools developed with this technology for countless processes, it’s not necessary to apply it to all areas of the advertising industry, especially in fields where a human touch is necessary. More isn’t always better, and AI can’t replace all human tasks, especially when they involve creativity, strategy, and emotional connection.
3. Job displacement
By delegating tasks previously performed by professionals to AI, we’re naturally seeing a gradual decline in staffing levels in marketing companies (and many others). For example, the use of chatbots can lead to a shortage of customer service staff.
This is causing concern among professionals, and many are reconsidering training for other roles that require more human skills. Many companies are even considering doing so with their own teams and offering them training courses.
4. Possible biases in algorithms and lack of transparency
It’s important to understand that AI isn’t known for being a reliable source of information or for always performing the right actions. Artificial Intelligence algorithms can make mistakes if the data they’ve been trained on contains biases.
But that’s not all. Some AI tools work with algorithms so complex that, as users, it’s difficult to know what process led them to make a certain decision. This has sometimes led to distrust of AI among the population.
Types of Artificial Intelligence in Marketing
Generative AI and predictive AI are the two types of Artificial Intelligence most commonly used in marketing. To help you understand their differences and uses, we’ll explain the characteristics of each below.
What is generative AI?
Generative AI is a branch of Artificial Intelligence that specializes in creating new and original content from the content it has been trained on. This new content can be generated in a wide variety of formats (text, image, video, or audio) and is widely used in digital marketing to boost the inspiration of content creators or
strategists and to streamline their entire workflow, among other areas.
What is predictive AI?
Predictive AI is designed to analyze historical data and detect patterns in it to predict and anticipate future events with great accuracy. In the digital marketing sector, it is widely used to detect market trends and user behavior.
Predictive AI vs. Generative AI
The main difference between generative AI and predictive AI lies in their intended purpose and functionality. While predictive AI focuses on analyzing existing data to predict future events or data, generative AI generates new content based on previous data. Therefore, while one focuses on understanding and predicting, the other focuses on creating.
Machine Learning and its impact on future marketing
After reading this article, you’ll have a good idea of how Artificial Intelligence is impacting digital marketing. Streamlining and improving processes, budget optimization, data analysis, task delegation, idea generation…
In this context, two key ideas emerge that must be understood as a company. First, it is essential to embrace these new technologies to avoid falling behind and remain competitive. And second, it is crucial to integrate them without compromising creativity and human judgment, which are so valuable for authentically connecting with audiences and guiding companies toward their goals.
The best AI chats for marketers
AI chats are systems designed to interact with users through conversations, as they are capable of simulating natural language and understanding what the person is saying. They are powered by generative AI and are one of the most widely used forms of generative artificial intelligence.
In the marketing sector, they can be used for many purposes: inspirational, strategic, content generation, information search… In this section, we’ve selected the most popular and interesting ones, which we encourage you to try and use.
ChatGPT
It’s the most famous and popular chat app worldwide. Developed by OpenAI, it’s not only capable of holding conversations based on the data it’s been trained with, but it can also search the internet to base its responses on up-to-date information and provide its sources of information.
It can generate content in both image and text formats. It can even connect with Sora (another AI from the same company) to generate videos.
DeepSeek
This AI has been developed by a Chinese company and its purpose is to compete directly with ChatGPT, since it is very similar to OpenAI’s chat but has the peculiarity that its development costs are significantly lower and it uses far fewer resources during its operation.
Perplexity
Perplexity is an AI chat very similar to ChatGPT, but it’s specifically focused on providing reliable and up-to-date information, as it was created to replace traditional search engines. Because of this, Perplexity also tends to offer more direct and concise answers compared to its competitors.
Gemini
Gemini is both the Artificial Intelligence model developed by Google and the name of its AI chat. That’s why it’s also integrated into various company services to improve and streamline the user experience across different platforms.
Copilot
We conclude this list with Copilot, the AI chat developed by Microsoft that also integrates with its various platforms, just like Gemini. Like the other examples, Copilot also allows you to upload documents so questions have more context and answers can be more precise.
The best AI tools for marketing
Unlike AI chats, AI tools can have a wide range of applications and are not limited to just holding conversations with users or generating content. In other words, they perform more specific tasks.
In this section, we also want to recommend the ones we consider the most interesting and useful in the world of digital marketing.
LM Notebook
Notebook LM is an Artificial Intelligence tool designed by Google that acts as a research assistant. In other words, it can become an expert on the information you provide and help you understand it. In that sense, it can answer all kinds of questions you ask about the topic, generate FAQs, create summaries, and even generate a podcast on the topic so you can understand the concepts in a more enjoyable way.
As you might imagine, it’s designed to help users understand complex information, so in the marketing industry, it can help you analyze trends, understand new strategies, or understand long, specific reports.
Jasper AI
This Artificial Intelligence platform specializes in generating marketing-focused content. It was created to assist professionals in generating written content to improve and optimize their texts.
Unlike the more general-purpose chats mentioned in the previous section, Jasper AI specializes in creating persuasive and engaging ad copy. It’s also better suited to adapt to different brand tones and styles.
Napkin AI
This AI-powered tool is capable of converting text into images. Simply upload the document containing the text you want to convert to image format to the platform, and the tool will do it automatically. It’s very useful, for example, for converting a data study into slides with visual elements that illustrate the report’s ideas.
What’s more, the most interesting thing is that you don’t have to give it any instructions; Napkin only needs the document to automatically create the images that best illustrate its content. You’ll see that the platform generates different images for your document, so you can choose from a wide variety and select the one you like best. And if it doesn’t suit you, you can edit the versions Napkin generates until you get the result you want.
Synthesia
Synthesia is a video-generating AI that can create highly realistic, voice-enabled virtual avatars capable of reproducing your chosen text in a very natural way. You can also create virtual avatars of your own team members so they don’t have to constantly record marketing or sales videos themselves. This way, you can greatly facilitate and streamline the production of audiovisual content, as well as reduce your budget for this purpose.
MidJourney
This AI tool creates images from text, making it one of the best in its field and one of the best known. In the field of digital marketing, you can use MidJourney as inspiration to later create your own images or directly use the ones generated by the platform to create audiovisual content much more quickly for your advertising campaigns, organic content, or branding strategy.
Google’s best AI tools
Google is a company that invests heavily in Artificial Intelligence applied to marketing. Therefore, we see that many of its marketing tools incorporate this technology, which greatly helps these professionals use them more efficiently.
In this section, we’d like to review their most interesting AI tools or those with integrated AI. We encourage you to use them to develop your marketing strategy.
Google Ads AI (Performance Max)
This is one of the most powerful examples of Artificial Intelligence within Google, so we couldn’t help but mention it. Performance Max is a type of automated campaign within Google that uses AI to display ads on the company’s main networks, including Gmail, Maps, YouTube, Display, Search, and Discover.
Thanks to this technology, these types of campaigns can automatically maximize their results, as AI is used to optimize bids, budgets, audience selection, creative enhancements, and much more.
Google Analytics 4 (GA4)
Artificial Intelligence has also been implemented in the latest version of Google Analytics, specifically for tasks related to data prediction and visualization. In fact, this is what most differentiates it from previous versions. Thanks to AI, GA4 now has greater analytical capabilities and can offer users deeper (and easier-to-understand) insights into their online performance.
Google Search Generative Experience (SGE)
SGE is a new search experience that uses artificial intelligence. Although at this writing it’s only available in the United States through Google’s Search Labs and is still in its experimental stage, SGE would offer users the answer to their question directly as the first result in the SERP.
Google Cloud Vertex AI
This is a somewhat different platform than the rest, as it’s designed to train and deploy AI models and applications, as well as to customize large language models and use them in your applications. Google Cloud Vertex AI allows developers to efficiently train, create, launch, and manage AI models.
Google Lens
Google Lens is a tool that allows you to search from images instead of text. And, of course, it’s powered by Artificial Intelligence. It can also be used to translate text appearing in an image.
What is the best AI for each marketing need?
In digital marketing, there’s no single artificial intelligence that does it all; rather, each type of need has more appropriate solutions. For content generation, tools like ChatGPT, Jasper AI, or Writesonic allow you to write advertising texts, articles, emails, and social media copy quickly and consistently. When it comes to visual design, tools like Midjourney, DALL·E, or Adobe Firefly are ideal for creating compelling images from descriptions.
In the field of SEO and analytics, platforms like Surfer SEO, MarketMuse, or Frase leverage AI to recommend content improvements and optimization in real time. For advertising campaign automation, solutions like Google Ads Smart Bidding, Meta Advantage+, and other DSP platforms that use machine learning to optimize performance stand out. When it comes to data analysis and predictions, the AI integrated into tools like HubSpot, Salesforce Einstein, or Looker Studio allows decisions to be made based on real patterns and trends.
The key is to identify the specific challenge—creating, analyzing, automating, or designing—and choosing the tool that best suits that objective. Using multiple specialized AIs, integrated with each other, can create a more robust and effective ecosystem.
Conclusion
Artificial intelligence is redefining marketing as we know it. From content generation to campaign optimization and data-driven decision-making, its impact is transversal and growing. Understanding how a prompt works, which tools to use, and how to integrate them into business strategy is no longer optional, but essential for those who want to stay competitive.
The true value of AI is not in replacing human talent, but in amplifying it: it allows us to work faster, more accurately, and with greater focus on what really matters. Those who know how to combine creativity, technology, and strategic analysis will be the ones to lead this new era of AI-driven marketing.
