Generating new web content
With the advent of free generative AI tools like ChatGPT, it’s easier than ever for businesses to create AI content based on keywords, prompts, or titles. AI can quickly produce any number of text-based content styles, from email subjects to long-form articles, synthesizing information it finds on the web in brand-new ways. By using AI as part of the content generation process, businesses can rapidly scale content production.
Note that in its current format, AI-generated content typically requires some editing and fact-checking before publication. Because it pulls from other sources on the web, AI-generated content may contain inaccuracies or grammatical issues.
It’s also critical for businesses to ensure that all content is original, culturally sensitive, completely free of plagiarism, and written in their unique brand voice. By using AI as a complement to human writing and editing, rather than a complete replacement, businesses can streamline content production while offering high-quality information that engages and educates their target audience.
Predicting campaign outcomes
When companies feed their own marketing data into modern AI tools, they can gain insights about past projects and access data-driven predictions about future campaigns. By reviewing metrics for both past and current campaigns, AI can accurately extrapolate the success of a variety of marketing strategies.
AI combines historic and real-time data about consumer behavior to generate predictions that align with current trends and any ongoing changes in the market. It can glean additional insights from sales data, helping marketers identify which agile marketing tactics are actually impacting sales and generating revenue.
Tracking social media trends
Social media is a hotbed of consumer data, providing information about how consumers act, which posts lead to conversions, and how they perceive different brands. With access to so many details, it can be challenging to identify which metrics actually provide relevant insights.
AI doesn’t just track this information—it sifts through the mass of numbers to indicate which data points are most relevant.
AI analyzes brand mentions and interactions to learn how customers perceive and interact with a business, offering an in-depth sentiment analysis to learn about a brand’s reputation. Companies can use these findings to manage their public image, provide relevant content, improve topical relevance and keep up with trends in their industries.
Automating campaign management
Well-managed marketing campaigns are all about timing. By following up, posting, and promoting content at the right time, brands can achieve optimal engagement with their target audiences.
Building AI automation into these processes allows marketing teams to become much more efficient. An AI marketing tool can devise a content calendar that posts at the ideal time for each platform or social channel. They can also be programmed to respond to certain behavioral triggers, such as clicking a post or viewing a profile. This gives companies the opportunity to reach out to customers when they’re more likely to be open to their messaging.
Once a business implements smart automation into its existing content calendar, it can enjoy ongoing optimization based on the outcome of each post. Instead of constantly running new reports and adjusting the posting schedule manually, marketers can leverage AI to make scheduling decisions based on both long-term patterns and emerging trends.
Engaging consumers with chatbots
Chatbots empower brands to connect with their customers without the time constraints of human interaction. When consumers visit a site seeking basic information, AI chatbots can function as a friendly, attentive search feature that’s vastly more convenient than searching through a site’s index and skimming pages of information.
Modern AI chatbots use natural language processing (NLP) to both understand the intent of a user’s question and provide the answer in a digestible, relatable format. This cuts down drastically on response times without compromising the quality of customer support. Even if a customer has a question the chatbot can’t address, it can provide initial positive contact that keeps the customer engaged until reaching a human brand representative.
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