AI in Content Marketing: Smarter Creation, Faster Growth

AI in Content Marketing: How to Create and Grow Efficiently - Sembly

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Content marketing requires complex strategies to engage audiences, delivering high-quality and exciting content that prompts people to act. Since marketers must collect and work with data, they often complete too many steps to ensure their efforts pay off. Thankfully, AI can reduce the tension often present among marketing teams. 

If you have always wanted to advance your marketing approaches on a budget, artificial intelligence is your stepping stone to achieving just that. What is it, and how can you make the most of AI-powered content creation? Let’s find out together.

What Is AI in Content Marketing?

AI in content marketing can mean many things. At its core, however, it is the use of artificial intelligence to complete particular actions related to content marketing (creation and distribution of text-based and audiovisual content, marketing campaign ideation, and data analysis). AI for content creation isn’t limited to just generating marketing copies; experts have successfully implemented AI to analyze and improve existing content. In any case, marketers and writers turn to AI most often in content-related matters, as data clearly shows.

How AI Is Transforming Content Marketing Strategies

One of the best things about content marketing strategies is that they vary in complexity, timing, and many other aspects. AI can improve marketing approaches and help you develop different yet coexistent and even complementary campaigns. Best of all, the technology provides an immense level of flexibility, where you can access and maintain processes quickly and efficiently without disrupting the entire advertising process. 

How to Use AI in Content Marketing

AI has changed content marketing by automating processes that traditionally required significant time and effort. From generating fresh ideas to optimizing SEO and refining writing styles, AI enables marketers to reach and engage their audiences more efficiently. These tools often leverage machine learning, data analysis, and natural language processing to design, optimize, and distribute content. Below, we explore specific ways to incorporate AI into your content marketing strategy.

AI for Content Ideation and Research Audience Pain Points

Generating content ideas for a marketing campaign involves many steps, from analyzing the area and its users to doubling down on content formats your brand excels at. In such cases, a content marketer turns to AI tools like Crayon or Semrush to research and address audience pain points. 

Professionals also compile prompts to get accurate responses from AI-driven content creation tools. Doing so helps them save huge amounts of time as they receive narrowed lists of potential ideas to revolve around.

Content Editing, Summarization, and Rephrasing With AI

Content Editing, Summarization, and Rephrasing With AI - Sembly

Content editing often walks in the shadow of content creation. Not to demean the latter, but the former is often equally challenging, if not more demanding. The editing feature of AI-based tools has been game-changing for many agile teams, allowing them to refrain from hiring dedicated editors. AI sifts through content impressively well (Grammarly is one such app), editing, summarizing, compressing, or rephrasing it. 

Creating Original Content with AI

AI tools have completely redefined content creation, empowering marketers to spend less time developing content while making it no less engaging. Such apps can analyze data, identify trends, and produce tailored information in different formats that resonate with various audiences. Popular tools like ChatGPT and Copy AI help marketing gurus brainstorm creative ideas, polish writing, and ensure flawless grammar and consistent brand across content.

 

While these apps provide a solid foundation, Semblian 2.0 makes content creation automated. It writes original and precise content by leveraging insights from internal and client-facing meetings. Semblian 2.0 transforms nuanced ideas into audience-driven assets aligned with business objectives.

 

Since Semblian 2.0 centers around your meeting discussions, it excels at drafting blog posts, social media updates, or email campaigns. In addition to outside content, Semblian 2.0 creates artifacts for internal processes, such as an advertising channel strategy, brand positioning document, and other marketing deliverables. It also centralizes content ideation around live, dynamic insights without squeezing post-meeting recaps into tight workflows.

Analyzing SEO Web Content with AI

 

Optimizing content for search engines has long been a meticulous and time-consuming process. Fortunately, tools like SurferSEO, Frase, and Jasper make it easier for marketers to achieve strong search rankings. While one offers precise keyword research and content optimization, the second analyzes competitor strategies and identifies content gaps. Jasper, in turn, streamlines the creation of SEO-optimized text by suggesting appropriate keywords and tone.

 

Building on these capabilities, Semblian 2.0 refines the SEO analysis process with its targeted, data-driven approach. It specializes in extracting actionable insights from client and team discussions and integrating them into an SEO web content performance analysis. This includes keyword usage, readability, and alignment with marketing objectives. As a result, you get an impeccable advertising strategy visible to significantly more people.

 

Semblian 2.0 looks at your business through a strategic lens. It provides valuable recommendations rooted in meeting-derived insights, helping you understand whether you need to improve meta descriptions, visual content selection, or entire article composition to ensure it positions well above your main competitors. 

Real-World Successful AI Content Marketing Examples

Example #1 – The Washington Post’s Heliograf Adoption

The Washington Post first experimented with its native short-news article generator, Heliograf, in 2017 for time-sensitive topics like sports scores and election results. Over 800 articles were spawned across social media channels during the first year, demonstrating solid potential for further development. The tool allows the newsroom to cover niche stories that wouldn’t justify involving human writers. 

WaPo isn’t the only outlet that uses AI for marketing and content creation. Associated Press, Forbes, and Reuters have also been harnessing AI-powered tools for better news coverage and mass hype. 

  • Impact: Boosted efficiency, publishing hundreds of stories, freeing up journalists’ time by a double-digit number, and enabling them to focus on investigative and long-form content.

Example #2 – Grammarly’s AI for Writing Assistance and Brand Voice

Grammarly is a widely known writing assistant powered by artificial intelligence. It uses advanced algorithms to help individuals and businesses improve all writing-related things. Apart from grammar corrections, it provides tone analysis, brand voice alignment, and real-time style suggestions. Grammarly is a superb example of AI’s effectiveness with the right approach. Grammarly ensures consistent and professional communication across all content and most used platforms with its plugins and nearly impeccable work (which isn’t always common for AI-powered software).

  • Impact: Enhanced content quality, improved brand consistency, and higher engagement through polished and audience-focused writing. 

Example #3 – HubSpot’s Brilliant Content Optimization 

HubSpot is a powerhouse for marketing and business and has been the biggest corporate blog for years. It uses AI tools like predictive analytics and content strategy insights to make its social media posts, blog posts, and email campaigns captivating and highly shareable. HubSpot’s native AI models evaluate SEO metrics, identify trending topics, and provide actionable suggestions for optimization. Automating email subject lines and A/B testing techniques are just a few things that make HubSpot’s AI stand out.

  • Impact: Top search engine rankings, improved lead conversion and engagement rates, and provided accurate insights and friendly content tailored to audience needs. 

Advantages and Challenges of Using AI in Content Marketing

Key Advantages of AI in Content Marketing

AI offers quite a few advantages for the content marketing area like the following:

  • Greater affordability: The cost of adopting AI-powered content creation tools has decreased since their introduction. Integrating AI software in content marketing is cheaper than extending a workforce of additional employees.
  • Enhanced efficiency: Pre-planning processes like ideation, researching, and outlining are intellectually and time-demanding. AI tools help with brainstorming and outlining, reportedly proving to prevent team burnout. 
  • Better posting capacity and frequency: AI can complete more content marketing processes at a given time than humans, like scheduling and publishing on various platforms. This is another significant advantage of AI for content marketing.
  • Thorough analyzing and reporting: In addition to analyzing blog posts and other content formats, marketers can seek AI’s help to conduct rigorous competitor analysis and provide detailed reports to see where rivals lack and capitalize on that. 

Common Challenges and Limitations

AI is still imperfect, and we’ve yet to see how CEOs combat its primary pitfalls. As AI for content marketing, it usually encounters challenges of:

  • Bias and ethical concerns: Content marketing professionals often wrestle with AI favoring a particular opinion, which is not necessarily science-based but prevalent on the web. It’s also no secret that a content generator can fail to dive deeper into the subject and plagiarize information without giving credit. 
  • Weak and watery content: Although answer quality often correlates with query precision, advertising experts report AI-generated content tends to be too general in many topics, centering around weak and unconvincing arguments. Placeholders, fillers, and other redundant wording are also typical issues of generative content production tools. 
  • AI-human dilemma: Although the consequence, using AI-generated content blindly can blur human judgment in many areas, including marketing. Balancing AI with human creativity during a content creation process is critical to providing users with mindful, fact-checked, and valuable information. 

How to Integrate AI Into Your Content Marketing Workflow

How to Integrate AI Into Your Content Marketing Workflow - Sembly

Step #1 – Define your primary, secondary, and tertiary goals 

Like you start building your content advertising campaign by defining aims and objectives, you must do the same when integrating AI for marketing content. First, stand clear on your primary, secondary, and tertiary goals. Do you want AI to bridge the gap in your weak links, whether generating content ideas, finding inspiration, or writing with editing? Or do you plan on making AI a jack of all trades, completing all the mentioned and beyond? This is crucial to ensure your integration process runs smoothly and successfully. 

Step #2 – Invest in researching and composing a list of relevant tools

What one tool excels at might be a challenge for another. Your goal here is to research and pick tools that could integrate well into your ecosystem. Don’t rush the search, however. Compose a list of tools for further analysis, adding Sembly AI to improve your marketing team’s task execution.

Sembly AI has been among the top-rated platforms for businesses prioritizing online meeting efficiency. Whether your team relies on Zoom, Google Meet, or Microsoft Teams, Sembly AI guarantees that meeting recordings are securely stored and easily accessible. On top of that, you get multiple features to make the most out of your digital meetings, from getting accurate AI-generated content in the form of notes and summaries to managing teams in a workspace. With a user-friendly, navigable interface, Sembly AI can easily become one of your most powerful tools, given its seamless integration with leading apps like Slack, HubSpot, Salesforce, Dropbox, Trello, and more. 

 

Step #3 – Work with simple tasks until you learn how the tool operates

Whether or not you plan your AI software to perform multiple tasks, you should get to know the tool by using it with the least complex operations first. Then, as you become more familiar with its specs and features, you can expand its use. For example, begin your journey with Sembly AI taking advantage of its bespoke meeting features, which allow an AI-powered system to attend calls (without your presence) and provide you with post-meeting follow-ups. Upon getting the hang of these, proceed with an advanced assistant, Semblian 2.0.

Semblian 2.0 is a Sembly AI extension that can automatically create marketing content driven by your internal team and customer conversation. With Semblian 2.0, you can do much more than provide fresh ideas and marketing tactics that align with your enterprise. Among other things, you can:

  • Generate topic-specific content frameworks by transforming meeting discussions into structured outlines for blogs, videos, or presentations.
  • Identify content gaps by examining meeting insights and comparing them with highly ranked web articles and other interactive content.
  • Produce real-time content briefs for writers based on meeting highlights and follow-ups, improving clarity and relevance.
  • Come up with visual content concepts, such as storyboards or infographics, inspired by ideas brought up during conversations.
  • Suggest cross-platform strategies for meeting-derived content, tailoring it for various channels and/or email campaigns.
  • Refine audience personas swinging between feedback and performance data highlighted during meetings.
  • Draft comprehensive marketing campaigns using meeting notes, including detailed phases, launch schedules, messaging guidelines, and promotion strategies.

Step #4 – Carry out regular performance checks for better long-term use

Set a time frame for performance and comparison analysis to track the progress. A monthly review can help you pay attention to things that don’t work as expected. You can evenly spread this as a workflow task so everyone using the tool can report on its efficiency with their duties. Getting feedback from different users will highlight the tool’s pros and cons in empirical settings, helping you shape a growth strategy for the highest software performance. 

Common Myths About AI in Content Marketing

“AI Will Replace Human Content Creators” – The Truth

Fear-mongering around AI replacing human writers has been intensifying since its wide adoption. This can be true with various professions but not areas where human creativity and unique thinking are involved, such as a content creation process. As a content marketer, you can rest assured that AI and its potential won’t affect your position. However, you must figure out how to use such tools to get a competitive advantage, continuously upskilling your talents to benefit from such cooperation. 

“AI Content Lacks Creativity and Emotion” – Debunking the Myth

There’s some truth to the fact that AI-generated marketing content lacks creativity and emotion. Still, it doesn’t mean artificial intelligence can’t produce tear-jerking copies and coax a certain action out of users. It definitely can, but the degree of its emotional depth and uniqueness depends on the person writing a prompt – you. The golden rule reads, “The more detailed and accurate the prompts, the more compelling narratives are, whether a text or visual content.” Just don’t forget that going too extreme might lead to an AI-generated text filled with epithets, metaphors, and other literary devices that are too difficult to read. 

“AI Content Isn’t SEO-Friendly” – How AI Improves SEO

AI content might not be as thick as thieves with SEO, but again, it depends on many factors to claim it is efficient. If we take raw AI-generated content, it isn’t necessarily SEO-friendly unless you explicitly request the tool to provide you with such content, including long keywords. However, AI-based tools usually scrape pages for the most used phrases, analyze your content (stop words, keyword density, and difficulty), and help your blog articles and other formats achieve greater discoverability on the web. 

How to Maximize ROI With AI in Content Marketing

How to Maximize ROI With AI in Content Marketing - Sembly

AI in content marketing is about increasing ROI while boosting other parameters, such as channel omnipresence and customer engagement. How can you achieve that? Much like with the adoption stage, focus on one thing at a time, preferably starting with the one you’re familiar with and can leverage it relatively quickly. For example, take a look at these ways:

  • Organization and management. Piling up content requires strict organization to keep it neat and clean inside your brand. Use tools to tag and manage a growing content library. This will help you update materials and create personalized content that is easy to reach. You can also automate content approval procedures to reduce tailbacks and improve cross-team collaboration. 
  • Content repurposing. The same content served in different formats can work wonders, especially when utilizing AI. Analyze your content performance and choose the one that demonstrates consistent interest and drives engagement. That same content in a different format will pay you off in views and actions taken. 
  • Topic discovery and trend analysis. AI can help you identify content opportunities that resonate with your target audience by reviewing trends, conversations, and competitor strategies. Given its capability to scan vast amounts of data faster than manual research, AI enables you to find untapped topics and draft content to address them before competitors.
  • Content quality assurance. AI-driven tools can significantly enhance grammar, tone, and readability, producing high-quality content aligned with a consistent brand voice. This feature is handy when refining product descriptions because it allows you to compress unnecessarily long texts and optimize them for search engines, leading to higher click-through rates (CTRs).

Scale Your Content Marketing With AI

With all that, how can you ensure AI works for your content marketing endeavors? There’s only one way to find out—through adoption, trials, and errors. As said earlier, carefully kicking off the process will help you integrate the tool into your workflows efficiently and boost your marketing content at scale. 

From automating content repurposing for multichannel campaigns to leveraging AI for real-time performance insights, AI can help you hold your market positions firmly while discovering new areas, niches, and target audiences for strategic expansion. With use costs decreasing and technologies improving in quality, there’s hardly any significant collateral you should be aware of.

Integrating AI into your content marketing is not rocket science—all it takes is a good attitude and realizing goals with possible net gains. Hopefully, you have a clear idea of the latter by now. And remember: instead of being afraid of the tech taking over human tasks, project your enthusiasm and energy into finding how to take advantage of AI. This mindset will always work for you, maximizing your company’s value.  

FAQs

Is AI necessary in content marketing?

AI isn’t mandatory in content marketing but is invaluable for boosting efficiency, scalability, and precision. It streamlines tedious and often demanding tasks like ideation, editing, and analytics, freeing time for more crucial work. While traditional methods are still in use, AI provides a competitive edge in today’s hectic and evolving marketing environment.

Do only content creators have to use AI in content marketing?

It is not only content writers who can profit from AI but also advertising experts and designers. It can also be leveraged for content creation, trend analysis, campaign planning, and asset organization. AI is a tool that touches upon all the aspects of content marketing and beyond, so anyone can use it to bolster efficiency and collaboration across roles.

How can I ensure AI works well in content marketing?

Start by defining clear goals, using AI for simple tasks, and regularly reviewing its performance. You are also highly encouraged to combine data-driven insights with your blue-sky thinking to maintain quality and maximize results. 

What limitations are characteristic of content marketing that I should be aware of?

AI-generated content can sometimes experience hallucinations and creativity struggles, risking bias based on flawed data. Therefore, don’t forget to pair its outputs with human input to ensure originality, nuance, and factual accuracy. 

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