AI and Content Marketing in 2024

Content marketing is still integral to any effective marketing strategy in 2024, but how does AI work with SEO to accelerate your content efforts?

 

Let’s face it, SEO is the long game, and quick wins are a bonus, not the norm. Any good marketer worth their salt should ensure that their inbound content mix has an SEO strategy behind it. This is important to track which content is performing and why and allows you to test different responses to your content by different audience segments. You should never rely on a single SEO theme for your content mix, but create a multifaceted strategy where top-level topics address your audience's core wants and needs.

 

But what every marketer wants is quick wins. Thanks to advances in artificial intelligence (AI) that are reshaping data science, content marketers can now speed up their response time to customer insights.


SEO has benefitted from AI

 

In 2024, SEO has improved and benefitted from advances in AI. SEO is here to stay because good content strategy requires human insights and decision-making to respond to your audience’s preferences and ensure your funnel for business solutions or products meets their demand.

 

AI data insights are delivered at lightning speed

 

AI is complementary to SEO and works by helping you analyze audience data from search to help you respond more quickly to insights from user behavior and integrate these insights into your content strategy. Put simply, AI can take a large dataset and return insights with lightning speed. Using these insights, AI can propose new content that is exactly aligned with what your audience is looking for on search engines. 

 

Integrate your AI and SEO to accelerate your brand

 

Here are five ways that you can begin to use AI to improve your content strategy and accelerate your brand.

 

  1. Use AI to group your data findings. Your customers are accessing your content through various channels, including organic search. The resultant data can be overwhelming. Most marketers want to be able to report unique insights to decision-makers but are nervous about what direction the data is suggesting. Let AI help you summarize your data insights into proposed strategy adjustments.

  2. Ask AI to find topics to match your user data. Now that you know which topics will move the needle for your audiences, you can use AI to suggest new topics or content assets.

  3. Use Generative AI as your creative assistant. AI can suggest topics and asset types and create new content based on deep learning models that integrate graphics and interactive content into smart, customized content that appeals to your desired demographic. The question is not if you should use AI, but why wouldn’t you?

  4. Generative AI can respond to your audience firsthand. Generative AI should be powering your live chat sessions with your customers. This enables AI to not only refer customers to the solution they need, but AI uses deep learning to understand trends or identify and resolve issues within your content funnel so that your audience can more efficiently find what they need.

  5. AI can scour your competitor’s content to help you gain traffic. AI can do in minutes what it used to take SEO specialists a day to accomplish. Gone are the days when marketers compiled long lists of words and rankings to justify their content ideas to leaders. Now you can rely on AI analysis to find achievable keywords for your content landing pages to move you up the search results page.

 

At Elevate & Connect, we use Generative AI (machine learning) to help our clients achieve SEO wins and refine their content marketing strategies to engage their target audiences. Let us help your company to elevate your brand and connect you with your audiences using AI.

Erin Righetti

As a marketing and communications leader, Erin brings direct experience in developing and executing enterprise marketing strategies for product and service offerings. Her expertise includes directing content marketing and go-to-market (GTM) strategies aimed at achieving competitive differentiation across all stages of the buyer and customer journey. Throughout her career, her leadership of cross-collaborative internal teams and external partners and clients has consistently driven high-level sales goals and success.

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