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For many content marketers, artificial intelligence means leverage. It’s a way to do the things they’re already doing manually—content research, competitive analysis, content gap analysis, content optimization, etc.—in less time and with higher quality output.
AI is a force multiplier across the content production process, but one part that has never quite gained traction is in the content writing process. The reason? AI technology just hadn’t reached a point where it could be reliably used for generating high-quality content. Recent developments, however, have changed things. AI content generation is a reality, and it’s starting to gain a place in the tech stacks of content marketing teams that want to apply the leverage AI gives them in other parts of their content process to the actual writing itself.
Everyone wants to rank on page 1 of Google (or the search engine of their choice) for the keywords and topics they care about. But ranking well isn’t always the same as writing content that makes people say, “these people really know their stuff!” Content marketing teams need to thread the needle to produce content that engages their target audience, facilitates customer journeys, and drives meaningful traffic from search engines.
Over the last few years, AI solutions have sprung up to help content marketers tackle tedious tasks, such as keyword research, content optimization, building content briefs, and so on. These solutions have freed up countless hours for content and SEO teams, but actually writing quality content remains a task for humans alone.
Writing is fundamentally creative, and not even the most advanced AI today can act as a one-to-one replacement for even a writer of average ability. But AI content generation is at a point where it can even automate some of the tedious work that writing for digital content, and search-focused content, in particular, can involve.
Ranking well in search and getting traffic from qualified users who are actively seeking information on your core topics is mostly a matter of how well your content matches the searcher’s intent. In practice, this means that most writing for search involves reading through several of the top-ranking pages on a term you want to rank for and incorporating similar information into your own article.
Many writers have to read multiple documents to understand what they need to cover in an article to match the user intent of the term or keyword they want to rank for. Then, they need to use that research to write a draft that elegantly weaves the related topics and structures that similar content use. From there, they need to edit it, layering in their own expertise, ensuring it’s brand-compliant, and aligning it to their broader content strategy.
Rytr is an AI-powered virtual writing assistant that helps you create high-quality content, in just a few seconds, at a fraction of the cost!
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