8 Boxes to Tick When Creating Content with Generative AI

Alisdair Mans Cornwell, Marketing Specialist ||  Reading Time: 5 minutes

Is your company using Generative AI to accelerate the content creation process? Most companies are. A recent survey by the Content Marketing Institute found that over 50% of companies now use GenAI tools to create content like blogs, email campaigns and white papers.

But whilst AI offers remarkable content creation speed and efficiency, how can you ensure the content is accurate, on-brand, secure, and of the highest quality?

Here are eight things to ask when leveraging these tools to boost content efforts.

The AI Content Creation Checklist

1. Are all sources and information correct? Ensure all information, quotes, and statistics are accurate by checking against what the AI tool has generated. Unless your tool can retrieve already existing information from your Content Memory, you should practice a robust cross-check and review process.
   
   
2. Does the content sound human? Thoroughly review content tone, style and readability. Readers demand writing that sounds natural and personal. AI can sound awkward, overly formal, and sometimes too robotic and disconnected from your target audience. Keep it human.
   
   
3. Any risk of plagiarism? If your AI content creation tool does not automatically check for content originality, use plagiarism detection tools to scan for copied content. AI can inadvertently copy content directly from sources, exposing you to legal, financial and reputational risks.
   
   
4. Does the content match the context? Carefully prompt engineer your content with the right context. If your AI tool can retrieve the right context from your Content Memory - even better. AI tools often fail to understand your business and veer off-topic, producing outputs that are not what your team had in mind.
   
   
5. Are the style and terminology consistent? Like matching content with context, always make sure the terminology and style are 100% correct and consistently on-brand. Choose an AI tool that automatically generates customised content and accurately matches your brand guidelines.
   
   
6. Does the content speak my brand voice? Though resource-intensive, it’s worth checking the tone of voice and messaging are consistent. Some tools (like LanguageWire Generate) ensure both are applied to every piece of AI-generated content. If your tool doesn’t, create a list of written brand guidelines (including terminology) and have your content team apply them to each piece.
   
   
7. Does it scale content with my business needs? Evaluate whether your AI tool can scale content efficiently with your growing business requirements, whether that involves creating different content versions, handling increasing volumes, adapting the content to various formats, or translating content into other languages. A user-friendly, intuitive interface helps too, as it will significantly enhance productivity in your content creation process.
   
   
8. How secure is my data? Always remember to assess your AI tool’s data security and privacy measures. Tools like LanguageWire Generate prioritise these with enterprise-level security, ISO certifications, cloud-based infrastructure, and compliance with GDPR and CCPA. Unfortunately, not all tools offer the same protections.

When AI Hallucinates

“AI hallucinations” refers to a Generative AI tool producing incorrect, misleading, or completely erroneous information but still presenting it as factually true. It is quite a common phenomenon. Even if the tool provides sources, the information can be fabricated and unreliable.

Asking a Generative AI tool to provide the true source for a statistic or fact may produce a disclaimer like, “I apologise for the confusion, but the specific incident mentioned was a hypothetical example rather than a real, documented case” or “You’re right—my previous response didn’t reflect the data from the sources I cited”.

Not particularly comforting!

The Clear Cost of Fuzzy Facts

Providing readers with factually incorrect content can impact your company’s reputation and financial health. Consider these common risks related to inaccuracies in AI-generated content:

• Inaccurate content can violate consumer protection laws, leading to fines or legal action.
• Misrepresentation of businesses or individuals can result in defamation lawsuits.
• Unapproved claims in regulated industries can generate legal and financial penalties.
• Publishing false information impacts customer trust and revenues.
• Subsequent reputational damage can require costly reparation measures.

Most companies are not intentionally misrepresenting facts, it is just that they are not using AI responsibly. Understanding how AI makes mistakes and what you must do to eliminate business risks associated with misinformation and poor-quality content is essential.

Tick The Boxes with LanguageWire Generate

AI undoubtedly helps produce quality content for your business, but sometimes real success depends on the tool you use.

To mitigate risks associated with factual inaccuracies, off-brand messaging, poor data security, and low-quality content, consider LanguageWire Generate, our latest AI-powered content creation tool.

By leveraging state-of-the-art technology and your linguistic assets, this tool helps businesses like yours produce high-quality, hyper-customised, on-brand content at scale and in an ultra-secure environment.