Tips for Implementing AI in Blogging to Boost Quality

By Jayne Schultheis — For anyone tasked with writing a rich and compelling blog, AI content generators present a tempting new avenue for content creation. According to a recent Mckinsey report, 92% of businesses across sectors plan to invest in generative AI tools within the next three years. It's particularly appealing for brands who need to get a lot of content out quickly, work on tight deadlines, or wish to stay ahead of trends. It can be a lifesaver for time management, too.

This new writing technology has some pros and cons, though. It's important to understand exactly how implementing AI in blogging can work for your brand. In this article, we'll take a look at some practical tips for integrating AI  that go beyond simple text generation.

How AI content generators can change the way you blog

Whether you go with ChatGPT, Claude, or Gemini, these intelligent automation tools are powerful allies for bloggers. The beauty of these systems lies in their ability to handle repetitive tasks. While AI tools perform headline optimization, write meta descriptions, and research topics, bloggers can focus on adding their unique voice and expertise to the content.

Smart bloggers are discovering that AI doesn't replace their creativity, but it can amplify it. It can provide the foundation for well-structured, SEO-optimized content that can be refined and personalized. Ultimately, you can end up with a more sustainable approach to blogging that allows you, as a creator, to produce more engaging content without sacrificing personal touch or burning out.

Ways to implement generative AI in blogging

Let's review some of the many ways that natural language processing and other forms of AI can help you boost blogging productivity.

Spark ideas and break through creative blocks

Staring at a blank screen? You’re not alone. AI is an invaluable tool for marketers and content creators needing a fresh jolt of inspiration. Rather than spinning your wheels, use AI to generate original ideas that can kickstart your next campaign or editorial calendar.

Example:  “List 12 compelling webinar topics that would appeal to SaaS founders focused on scaling product-led growth.”

Speed up content briefs and outlines

Creating content briefs and outlines is crucial, but time-consuming. AI can synthesize your goals and offer structured outlines that help you stay focused while freeing up mental energy for creativity.

Example: “Create a detailed content brief for a white paper on AI-driven personalization in retail, including target personas, key talking points, and recommended sources.”

Generate first drafts

Need to get something down quickly? AI can deliver a rough first draft for everything from blog posts to social captions to campaign headlines. It’s a fast way to build a working base that's ready for human polish, strategy, and storytelling finesse.

Example: “Generate a 600-word introductory article on ethical AI design for a general business audience, using a professional yet accessible tone.”

Optimize for SEO, tone, and engagement

Whether you're refining for readability, audience targeting, or search engine performance, AI can help. Tools like Jasper, Writer, or Optimizely’s Opal AI can adjust tone, simplify complex language, or recommend ways to boost engagement. Your brand voice is unique. As search engine results pages are populated with AI content, there will be greater value in content that's engaging, original, and representative of a brand's expertise. It creates a better user experience, too.

Example: “Improve this newsletter draft to appeal to time-pressed CFOs by using concise language and highlighting ROI-focused outcomes.”

Analyze data and extract content insights

Are you piling up a big stack of keyword lists, traffic stats, or social engagement metrics? AI innovations can help make sense of it all. New tools can identify patterns through a trend analysis, uncover content gaps, and guide your content strategy with sharper insights.

Example: “Review last quarter’s blog performance data and recommend three underused content categories based on engagement and conversion metrics.”

Common pitfalls to avoid when implementing AI in blogging

Not everything is perfect in the realm of AI implementation. Here are some common pitfalls to avoid.  

Focusing your AI in the wrong part of the process

Using NLG to generate your text could certainly be a time-saver, there's no denying that. But what really holds back a lot of marketers is failing to use AI in other parts of their processes. The capabilities of AI go much deeper than just text synthesis. You can also use it for:

• Topic discovery and gap analysis. AI analyzes your existing content and compares it with your competitors' to identify gaps and opportunities. You can sharpen your content strategy to have just the right amount of competitiveness to help you beat the other players in your niche for that top spot, or even a Google AI overview.
• Content planning and briefing. AI assists in creating detailed content plans and briefs, streamlining the planning phase and aligning content with strategic goals.
• Performance monitoring. Post-publication, AI tools can track content performance. You can follow engagement metrics and act on suggested adjustments for optimizing reach and impact.

Plagiarism and poor quality

AI models are trained on large swaths of publicly available data, which means the content they generate often reflects what’s already out there. The result? Output that can feel derivative, lackluster, or worse, alarmingly similar to existing content.

The solution: AI-generated text should never be your final draft. Infuse your content with brand-specific insights, real-world experiences, and a distinct voice. Keep a list of editorial guidelines handy as you edit your text, and keep real humans involved at key stages of the content workflow.

Inaccuracy

If you've ever used a generative AI platform, you might have noticed a small disclaimer at the bottom of your screen, "ChatGPT can make mistakes. Check important info," or Claude, "Claude can make mistakes. Please double-check responses." When inaccuracies occur, this is known as "hallucinating" information. It’s a byproduct of some of the current limitations of frontier Generative AI models.

In some subject areas, the model may not have been trained on the most-up-to-date information and may get confused when prompted about current or changing events. These models have also been known to fabricate examples and case studies but present them as facts. This points to the critical role of human oversight in these integration processes.

Partner with Rellify and use AI to its full potential

Earlier, we mentioned topic discovery, gap analysis, content planning, briefing and performance monitoring. These are all functions that are raised to a higher level with a Relliverse™, an AI-powered system tailored to your brand's unique voice and objectives.

We also provide text generation tools that offer tremendous scalability. Instead of bopping around between a bunch of different platforms, you can leverage all these AI capabilities in one place. With our deep machine learning tools, you can determine exactly which topics and keywords will best signal your expertise to search engines.

We tailor AI to your brand’s voice and goals, helping you produce high-performing content that’s original, relevant, and optimized for discovery. Instead of piecing together disconnected tools, Rellify brings it all into one cohesive system so you can scale smarter, write faster, and deliver content that actually connects. Ready to turn AI into your blogging advantage? Let Rellify show you how. Schedule a brief demo with one of our experts today.