Leveraging Personalized AI For Content Marketing

By Waleed Najam, CEO NEO Innovations, e-commerce marketer with over 10 years of business experience in digital marketing and e-commerce.

Isn’t it amazing to live in an era where every other day, there is a new tech advancement and to see so many innovations?

I can hardly be surprised by the fact that even AI can become highly personalized these days to support content marketing. I’ve been able to make my marketing strategies more dynamic, personalized, efficient and data-driven through AI.

Creating Dynamic And Data-Driven Content

Personalized AI can transform content creation by going beyond traditional marketing tactics that target broad audiences. It can analyze real-time data like social media activity and user-specific buying behaviors, allowing marketers to create highly tailored content for specific groups.

With natural language processing (NLP) and machine learning (ML), AI models can generate coherent, contextually relevant content that adapts to a brand’s voice.

Leveraging Personalized AI For Video Content

To implement an AI-powered approach for video creation, I recommend breaking down the process into three key phases: configuring your AI, creating visual content and adding finishing touches with voiceovers.

Step 1: Configuring Your Custom AI

The first way to change the game for content creation is by setting up a custom AI agent for your brand. This entails the collection of all relevant content and exposing the AI to activities such as opinion generation, message writing and pattern identification.

• Scraping niche-relevant data: Start by gathering targeted data, such as competitor analysis, customer feedback or social media trends. Once collected, clean and preprocess the data to ensure consistency. This step prepares the information for training your AI model.

• Training the custom AI on proprietary data: After the data is ready, fine-tune your AI using your proprietary content, such as past blogs, product descriptions and other materials that reflect your brand’s tone. This ensures that the AI consistently generates content that is aligned with your business objectives and audience preferences.

Step 2: Visual Content Creation

Now your custom AI bot or agent is ready to serve, and this can be used as fuel for your next marketing campaign. Let’s put the agent to work.

• Video creation with AI video generators: Consider using tools like Invideo, Pictory, Synthesia or Lumen5 to convert scripts into videos. Each tool offers unique features, allowing you to tailor the style, length and type of content to fit your project needs.

• Visual editing: After making a video, consider elevating it with video editors like Adobe Premiere Pro or Final Cut Pro. AI agents can also help to handle common video post-production activities like cutting, transitions or titles, helping to save time and produce a more polished result.

Step 3: Adding Voice Overs

Now that your video is ready, the final touch is adding a compelling voiceover. AI voice generators can help you achieve the right tone and message delivery.

• AI voiceover tools: Some recommended tools are ElevenLabs, Murf and Speechelo, which work great for natural-sounding voiceovers. Depending on the content of your video and what you want to convey to your audience, you can try different voices.

• Customizing your voiceover: If your brand identity includes a unique voice, train your custom AI to replicate it using these voiceover tools. This enables you to generate voiceovers in your language or tone, ensuring the content is not only informative but also personal and aligned with your brand.

With these tools and steps, your personalized AI can manage every phase of content creation—from ideation to the final video. AI enables you to quickly generate diverse content, whether for informative pieces, storytelling or ad creatives. As technology advances, your ability to create high-value, relevant content for your audience will likely continue to improve.

AI Brand Models For Social Commerce

To take advantage of the boom of social commerce and shoppable content, you may also want to consider AI-based fashion models and artists for your brand identity—these individual models can help you create a brand identity, and later on, you can leverage their personal identity profiles to help you in social commerce.

I think it’s just a matter of weeks before there will be robots participating in social commerce with their own social accounts and followers.

Search Engines And AI Content

Informational content or SEO can also be automated with AI. By analyzing search engine trends, new keywords and fresh queries from search consoles, AI can manage tasks like updating old content, adding new queries, and identifying and filling content gaps.

If you are worried about penalties for AI content, I suggest teaching your custom AI agents with search engine guidelines and rules. Train them as per your industry so the reader loves engaging with your content. This can help you avoid algorithm penalties because your content is engaging, and stats are proving it. Make sure the information you provide remains interesting and useful for the readers.

Tackling Challenges

While AI brings valuable efficiencies to content creation, it also poses some challenges that make its implementation a bit complex and sometimes unpredictable.

AI-generated content can lack the nuanced understanding and emotional depth that human writers bring, which can lead to messaging that feels overly polished or impersonal. Additionally, AI is highly data-dependent; if it’s trained on outdated or incomplete data, it may produce content that is not only irrelevant but potentially misleading. There’s also the risk of AI rehashing existing ideas, which can impact originality and even lead to copyright infringement issues.

To tackle these issues, there must be human supervision to ensure accuracy and relevance, alongside a continuous effort to update AI models with the latest trends and brand tone. A successful approach combines AI as a tool for exploring what resonates with the audience and determining content themes, while human writers make the final refinements to create content that is not only useful but also deeply resonates with the audience on a personal level.

From content curation and search engine optimization to analysis, AI offers value by automating monotonous tasks as well as offering insights necessary to remain relevant in today’s fast-growing internet market. These are the opportunities AI opens: It’s a lot, and I look forward to discovering even more ways AI can take content marketing to the next level.

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