Table of Contents<\/strong> <\/p>\n AI marketing involves using artificial intelligence to enhance various aspects of your marketing strategy. It’s like having a super-smart (and fast) assistant to help you blitz through the less creative tasks. <\/p>\n Whether it’s generating first drafts with AI prompts, optimizing ad placements, or predicting customer behaviors, AI can be a weapon in your marketing toolkit. <\/p>\n AI isn’t just knocking on the door of marketing; it’s already inside, rearranging the furniture. <\/p>\n If you aren\u2019t already using it for content creation, you\u2019re late to the party. Many marketers are already. Superpath\u2019s 2023 content marketing report<\/a> paints an unambiguous picture:<\/p>\n According to the same report, 57.2% of marketers considered replacing their resources with AI.<\/p>\n The question isn’t whether AI will become a key player\u2014it is going to. The question is how far marketers will continue to exploit AI to free their workload\u2014namely, just how good can AI tools get at helping marketers do their job? <\/p>\n Knowing how marketers are currently using AI tools can help answer this question.<\/p>\n AI can take the guesswork out of understanding your audience. <\/p>\n Let’s say you’re running an online store. AI can analyze your customers’ purchase history, website visits, and interactions. It then groups them into segments based on their preferences.<\/p>\n AI has done part of the work by helping you identify rich customer segments. All you have to do is tailor specific campaigns for specific segments. There are already AI tools for customer segmentation. Notable examples include Optimove and Peak.AI.\u00a0<\/p>\n There are AI-powered tools that can help organize and interpret user data<\/a>. <\/p>\n Let’s stick with the online store example. AI digs into your data to find patterns. If, historically, certain products sell like hotcakes during the holiday season, AI picks up on this. It then predicts future trends, helping you stock up on those items, ensuring you’re ready for the surge in demand. <\/p>\n It’s like knowing tomorrow’s weather but for your sales. Used by business analysts, marketers, and enterprise data scientists, RapidMiner and Microsoft Azure are some of the most powerful AI-powered predictive analytics tools on the market. <\/p>\n Ever visited a website and saw a friendly chat window pop up asking if you needed help? 6 times out of 10, it\u2019s not a person but an AI-powered chatbot. <\/p>\n For instance, a user on a travel website, wondering about flight options, encounters a chatbot. The chatbot instantly provides details, answers queries, and even helps the user book. It’s quick, efficient, and available 24\/7. <\/p>\n AI chatbots are not new. Most are customizable, while some are tailored for specific job departments and industries. Popular AI chatbot providers include Zendesk and HubSpot.<\/p>\n Sending out emails is easy; getting people to open and engage is the challenge. AI can help in this case. <\/p>\n Beyond drafting newsletters or automating responses, AI tools can analyze how recipients interact with your emails. If someone often clicks on product links, AI notes this. Next time, it ensures that person gets more emails showcasing similar products. <\/p>\n It tailors content based on individual behavior, making each email more likely to grab attention. Optimail and Rasa.io are two of several AI tools that can monitor subscriber behavior and send hyper-personalized emails.<\/p>\n This particular use case started the AI discourse. Every marketer and their mom have at some point tried to use ChatGPT to write an article or fill a job application. <\/p>\n Unsurprisingly, content generation is the AI use case gaining the most traction. It\u2019s also the one evolving the most rapidly. There\u2019s already a ton of tools promising to generate articles that are more human than ever, not to mention that “AI prompt expert” is not just an actual job title, but one in demand. <\/p>\n Recommendations? Get on the ChatGPT 4 waitlist if you haven\u2019t already. Other notable mentions include Jasper and Penfriend AI. <\/p>\n SEO is a complex field and there are vast ways AI can help. A tool like ChatGPT can do everything from creating schema and meta-data to analyzing URLs. If you know how to use it, AI can turbo charge your SEO workflow. <\/p>\n Several SEO experts, including Steve Toth, have shared their specific use cases. For instance, here\u2019s one of his LinkedIn posts about using ChatGPT to create FAQs and FAQ schema<\/a>: <\/p>\n His is just one in many valuable use cases you can find on LinkedIn by typing “ChatGPT [insert SEO task]” or “AI [insert SEO task]” in the search bar. <\/p>\n It shouldn\u2019t have to be mentioned, that as with content generation, using AI for SEO tasks needs a good deal of fact-checking and sensible human judgment. In fact, some use cases, such as ChatGPT 3.5 for keyword research, are downright discouraged. <\/p>\n\n
What is AI Marketing?<\/h2>\n
Will AI Become a Key Player in Marketing? <\/h2>\n
![\"AI-content-creation\"](\"\/wp-content\/uploads\/2023\/12\/AI-content-creation.jpg\")
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<\/p>\nValuable use cases of AI in Marketing<\/h2>\n
Customer Segmentation <\/h3>\n
Predictive Analytics<\/h3>\n
Chatbots and Virtual Assistants: <\/h3>\n
Email Marketing Optimization<\/h3>\n
Content Generation<\/h3>\n
Search Engine Optimization (SEO <\/h3>\n
![\"AI-SEO\"](\"\/wp-content\/uploads\/2023\/12\/AI-SEO.jpg\")
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![\"ChatGPT-AI\"](\"\/wp-content\/uploads\/2023\/12\/ChatGPT-AI.jpg\")
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