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 rcs data 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.
