Back in 2017, artificial intelligence (AI) beat 75% of Americans in the visual test. In 2019, 37% of companies implemented AI technologies in their process. (Statistics by Gartner) And while it all seemed like a sci-fi novel 20 years ago, modern AI-powered tools assist people in almost every area of business and life today.
The niche of content creation is not an exception.
Major news outlets like Forbes, Reuters, and The Washington Post use robot reporters to automate content generation and speed up some writing processes. For example, Heliograf, The Washington Post’s automated storytelling technology, writes articles about high school football games, taking the info submitted by football coaches.
It helps in-house journalists save time and focus on more in-depth topics and reporting.
Experts say that AI becomes smart enough to be able to deal with all intellectual tasks by 2050. And it doesn’t sound like anything fantastic: 2021 is outside, and AI technology influences and transforms many processes in content creation already.
That’s what AI can do for content writers, marketers, and content writing services:
AI helps with content personalization
All marketers have finally admitted the role of targeted personalization in customer engagement, allocating budgets to customer segmentation, predictive analytics, and targeting decisions. And 56% of U.S. CMOs use AI technologies to help with that.
AI-powered software creates personalized emails, managing subject lines and email bodies to sound more personal for a recipient. The software generates emails addressing a customer by name, organization, and personal data from their accounts.
Plus, modern AI is smart enough to create personalized applications. A great example is Under Armor’s record, a health tracking app using AI-powered algorithms to generate nutrition recommendations and workouts based on a customer’s personal data.
AI brainstorms content topics and improves grammar
AI-powered keyword research tools give content marketers insights into what their target audience wants to get: search demand, search volume, organic competition, and difficulty score are just a few metrics specialists get to understand what topics to consider for creating more customer-specific content.
Besides keywords, AI technologies can generate topic suggestions. One of such AI-powered tools is Answer the Public, where a user enters a keyword and gets the list of the most popular questions people ask on it. Another one is HubSpot: This marketing automation platform offers an AI-based topic planning tool, where artificial intelligence identifies highly relevant themes for a particular niche.
Also, AI-powered tools like Grammarly helps content creators improve their writing skills. Its language model flags grammatical and stylistic errors, suggesting ways to correct them.
AI creates targeted content for websites
While artificial intelligence is already smart enough to generate entire articles, the quality isn’t that high (yet!). However, the AI technology gives a fine account of itself when creating small data-specific pieces, like social media posts, landing page texts, product descriptions, titles, or customer satisfaction reports.
It does it with the help of NLG (natural language generation) technology: It’s when algorithms translate data into human language.
Today, NGL software does wonder when generating narratives and describing complex data in seconds! By analyzing website visitors and their interaction with content, AI-based tools generate corresponding language items and tone of voice to engage particular customer groups.
This technology perfectly works for short stories on social media, push notifications, SMS marketing messages, and PPC ads.
AI tools to use for content creation are many: Acrolinx, Atomic Reach, WordAI, and Article Forge are just to name a few; at the same time, tools like INK, OneSpot, and Word Lift helps to optimize content for SEO and personalization.
AI tracks the content performance
With AI-powered software, not only do marketers track the audience by demographics, but they also analyze customer behaviors and values, developing content creation and distribution strategies accordingly. The technology allows generating super-targeted content that influences a marketing campaign’s overall ROI.
Plus, AI gathers both text and visual user-generated content (the visual recognition technology allows analyzing images and identifying elements in them). It will enable marketers to better understand what better works for their audience and adjust their content strategies to the maximum benefit.
Final thoughts
With the rapid growth of AI technologies, many content experts still experience some misconceptions and fears about it. They are afraid of AI-powered software to replace content writers, which is a threat to human employees, but it’s not so:
It’s critical to understand that AI doesn’t replace but helps content creators improve their work performance, optimize writing processes, and increase productivity. Using AI technologies for data analysis and small content initiatives automation allows specialists to focus on more in-depth content assets and generate more personalized and targeted copies for their audience.
