Ai content generation: the ultimate guide (benefits, challenges, tools)
AI content generation, powered by the rapid evolution of Generative AI, is transforming how businesses and creators produce text, images, and other media. Using AI Models trained on vast amounts of AI Training Data, these Generative AI tools can draft articles, create images from descriptions, generate product descriptions, write code, compose music, and much more (AI and creation). This technology offers significant advantages in speed and scale but also presents considerable challenges around quality, ethics, and integration.
Benefit 1: unprecedented speed and scale
The most cited advantage of AI content generation is its ability to produce content far faster than humans. Drafting an initial blog post, creating multiple variations of ad copy, or generating descriptions for hundreds of products can be done in minutes instead of hours or days. This scaling (scalability of content production) helps content teams meet the ever-increasing demand for fresh content across all channels.
Benefit 2: overcoming writer’s block and sparking ideas
AI can be an excellent tool for overcoming writer’s block or for initial brainstorming. By providing a prompt (prompt engineering), users can get initial drafts, outlines, idea lists, or different angles on a topic, serving as a starting point for further human development. It can act as a creative partner to kickstart the process.
Challenge 1: quality, accuracy, and ‘hallucinations’
AI-generated content is not inherently perfect. Models can ‘hallucinate’ – make up facts, sources, or information that sounds plausible but is incorrect. Text might lack depth, nuance, or the critical thinking a human expert would provide. Quality can be uneven, requiring rigorous human editing, fact-checking, and revision to ensure accuracy and value.
Challenge 2: originality, plagiarism, and copyright
Because AI models train on existing data, there’s a risk they might generate content very similar to their training data, raising concerns about originality and unintentional plagiarism. Furthermore, the legal questions around the copyright of AI-generated content and the use of copyrighted material in training data are still evolving and represent a complex area (AI ethics for businesses).
Challenge 3: brand voice, style, and compliance
Generating content that perfectly matches a brand’s unique voice, tone, and style guidelines (adapting AI tone to brand voice) remains a challenge. Generic or off-brand content damages the customer experience. Ensuring visual and textual compliance requires integration into a brand governance platform and human oversight.
Brandeploy: governing and integrating ai-generated content
Brandeploy provides the essential framework for responsibly and effectively integrating AI content generation into your marketing workflows. Use AI tools to generate drafts, then:
- Embed in Templates: Place AI-generated content into Brandeploy’s smart templates to automatically enforce brand-compliant visual formatting and structure.
- Apply Governance: Our templates ensure fixed logos, colors, and brand elements are correct.
- Streamline Approval: Use our workflows for human review, editing, fact-checking, and final sign-off of AI-assisted content.
- Centralize: Manage the final, approved content assets (centralization and control of brand assets) generated with AI assistance.
Brandeploy allows you to gain AI’s speed without sacrificing quality, compliance, or brand control in your content automation.
Harness the power of AI content generation while mastering its challenges. Understand the benefits, risks, and available tools. Discover how Brandeploy provides the necessary governance to use AI effectively and responsibly. Schedule a demo.
