10+ Tips for Maximizing Productivity with AI-assisted Writing

Jayne Schultheis — On Tuesday, Kelsey, a freelance content writer, gets an email from one of her regular clients, a tech consulting firm. Their blog covers all the latest hype in the tech sector, so they ask her to get an emergency article done by EOD Wednesday on the latest AI video generator, Google's VEO3.

This firm is one of her best-paying and most prestigious clients, but it's a really tight turnaround. Fortunately, with the power of AI-assisted writing, she's able to get the article done right on time, and perfectly within the firm's expectations and tone. She's even able to pick up one more article to finish out the week.

Content creation tools are revolutionary for writers and editors who produce marketing content. They're changing the way workflows operate, and giving equitable access to cost-effective, user-friendly, digital automation tools. If you're thinking of using generative AI tools but you're not sure how to make it work, this article should help. We're going to offer some insider tips and tricks for anyone who wants to take advantage of AI-assisted writing.

Boosting your productivity with AI Tools

AI-assisted writing can boost productivity in a lot of different settings, including:

• Business communication. Emails, reports, and proposals.
• Marketing materials. Ad copy and product descriptions.
• Customer service. Automated responses and FAQs.

In fact, 58% of companies that use generative AI use it for content creation, and bloggers who use AI spend about 30% less time writing a blog post.

In this article, we're going to focus on blog articles and similar marketing content, like the kinds of articles that Kelsey writes. In this example, the writer is tasked with covering a current event, a product that's just been released. AI writing tools won't have enough training data quite yet to produce valid, up-to-date information. She'll still have to rely on press releases, other longform content, and Google's own information to get details, quotes, and everything else she needs to make a great article.

The goal is to produce something of quality that will have the" E-E-A-T" that Google and AI search values. Plus, when you're writing for marketing content, no matter which industry or niche, the content needs to distinguish the business from its competitors. The content should spark and hold the readers' interest among a heap of competing content on search engines — some of it entirely AI-generated.

AI writing tools can be a critical, time-saving resource for any writer. Here are some ways to use them and free up more time to focus on things that can make a big difference in content quality.

1. Write an outline for an article

Sometimes, the first steps of any journey (well, article) are the hardest. Using AI to build a clear, custom roadmap for the rest of your article can make the rest of the process a breeze. You're banking time that allows you to focus on the heart of the article. Rather than staring at a blank document wondering how to structure your thoughts, you can provide AI with your topic, target audience, and key points, then receive a comprehensive outline that organizes your ideas logically and prevents the important stuff from being overlooked.

The collaborative aspect is particularly valuable. You can refine the outline as you go, asking AI to expand certain sections, reorder topics for better flow, or suggest different approaches to presenting your information. This back-and-forth process helps you discover the most compelling angle for your content before you invest time in full paragraphs.

Perhaps most importantly, a solid outline eliminates the paralysis that often strikes mid-article when you're not sure what should come next. With AI-generated section headings and key points mapped out in advance, you can write with confidence, knowing exactly how each paragraph contributes to your overall message.

2. Answer questions on the subject matter

You might have an understanding of the basics of your topic, but still need to really get into the nitty gritty of certain topics. That's what sets good content apart from great content, after all. Here, generative AI can become a research partner, capable of diving deep into specialized areas that would otherwise require hours of manual research. You can ask targeted questions and receive comprehensive explanations tailored to your specific needs.

The key is asking the right questions. Avoid broad queries like "tell me about VEO3," and instead try specific prompts like "explain how VEO3's algorithms differ from previous iterations, and how have they addressed problems like syncing audio." This specificity helps AI provide focused, actionable information that directly addresses your writing goals.

AI is also helpful for providing multiple perspectives on nuanced topics. This can help you understand different viewpoints before crafting your content. You can request counterarguments to your main points, ask for examples from different industries, or seek clarification on how certain concepts apply in contexts. This helps your writing demonstrate depth and authority, even in an area where your initial knowledge might be limited.

3. Break writers block

Every writer's been there: the dreaded writer's block. It can eat up a significant portion of your day, making a deadline excruciating. Generative AI can help break through mental barriers and get you back into the groove. It can be a brainstorming partner. When you're stuck on how to begin a section or develop an idea, you can prompt AI to generate multiple angles, opening sentences, or structural approaches to your topic.

AI can also help you work through specific sticking points by asking clarifying questions or suggesting transitions between ideas. If you know what you want to say but can't quite find the right words, describe your concept to AI and ask for different ways to express it.

Another technique is using AI to create rough scaffolding for complex sections. Ask it to outline the key points you need to cover, then use that structure as a springboard for your own writing. Sometimes seeing a basic framework is all you need to overcome the intimidation of a blank page.

4. Chatbots: Your personal writing buddy

Chatbot interfaces like ChatGPT, Claude, or Bard can offer a natural, dialogue-based approach to AI assistance. The conversational format mirrors how writers naturally work through ideas. You can ask follow-up questions, request clarifications, or ask the AI to adjust its tone or approach based on your immediate feedback. For example, you might start by asking "Help me explain natural language processing to a general audience." You could then follow up with "Make that explanation more conversational" or "Add a real-world analogy to clarify the concept."

A back-and-forth dynamic might be particularly valuable for writers who think out loud or prefer collaborative brainstorming. You can share half-formed thoughts. Asking: "What am I missing here?" or request the AI to play devil's advocate with your arguments. The chatbot remembers the context of your entire conversation, so you can build on previous exchanges without having to re-explain your project or goals.

Many chatbots also allow you to set specific roles or contexts at the beginning of a conversation, such as "Act as a technical editor reviewing my assessment of Google's VEO3" or "Help me as if you're a subject matter expert in machine learning." This role-playing capability lets you access different types of expertise within the same conversational interface, making it feel like you have access to a team of specialists rather than a single tool.

5. Formatting tools

Some tools also allow quick creation and production of charts and tables. These AI-powered formatting capabilities can transform raw data or conceptual information into polished visual elements within minutes, eliminating the need to switch between multiple applications or struggle with complex design software.

For writers working with data-heavy content, AI can generate tables by simply describing what you need. You might say "Create a comparison table showing the pros and cons of four different AI video generation tools." The AI will structure the information logically with consistent formatting, and even suggest additional relevant categories you might have overlooked. Chart creation follows a similar pattern of intuitive interaction. Rather than manually inputting data into spreadsheet software and wrestling with chart formatting options, you can describe your visualization needs in plain language.

Many AI tools can also convert existing text into structured formats. If you have a paragraph describing market share data, you can ask AI to transform it into a clean table or pie chart. This is  particularly valuable when you're repurposing content for different audiences

6. Generate art

Readers, search bots, and AI-based search results value photos and infographics. AI image generation tools like DALL-E, Midjourney, or Stable Diffusion can help writers quickly create custom visuals that directly support their content, without the expense of hiring designers or the time investment of learning complex graphic design software.

The process is remarkably straightforward. Describe what you want in detailed text prompts, and the AI generates multiple options within seconds. AI-generated art is particularly valuable for concept visualization and abstract topics. Rather than settling for stock images that approximately match your content, you can generate artwork that perfectly aligns with your article's tone, color scheme, and specific messaging, creating a more cohesive and professional-looking piece.

7. Opportunities for linking

AI can significantly improve your content's SEO value and reader experience by identifying strategic linking opportunities that you might otherwise miss. Rather than manually combing through your existing content library or spending hours researching relevant external sources, AI can quickly analyze your current article and suggest both internal and external linking possibilities.

For internal linking, AI can review your article's topics and suggest related pieces from your own content catalog. If you're writing about email marketing automation, AI might identify opportunities to link to your previous articles on customer segmentation, lead nurturing, or marketing analytics. This creates a web of interconnected content that keeps readers engaged on your site longer and helps search engines understand the relationship between your articles.

AI is great for identifying subtle connection points you might overlook. While you might remember to link obvious related topics, AI can spot opportunities to connect seemingly disparate subjects through shared concepts, methodologies, or underlying principles. This creates more sophisticated content clusters that demonstrate authority to search engines.

For external linking, AI can suggest authoritative sources, recent studies, or industry reports that support your points. Instead of relying on the same handful of sources you always reference, AI can introduce you to fresh, credible content that adds value for readers while showing search engines that your content is well-researched and current.

8. Meta descriptions and titles

AI is particularly helpful for generating short-form tasks like:

• Image alt text and descriptions.
• Pay-per-click (PPC) ad copy.
• Product descriptions.
• SEO-optimized meta descriptions.
• Compelling titles that incorporate relevant keywords.

AI can also improve your article structure by suggesting improved H2 and H3 headings that better organize your content for both readers and search engines. It also can generate concise article summaries for social media sharing and newsletter inclusion. This streamlines the often-tedious final steps of content optimization, so your articles are fully polished and search-ready in the blink of an eye.

9. Social media extras

AI can analyze your article's key points, tone, and target audience to generate platform-specific posts that maintain your voice while adapting to each social media environment's unique requirements.

For LinkedIn, AI can create professional posts that highlight your article's main insights, pose thought-provoking questions to encourage engagement, or craft industry-specific commentary that positions you as a thought leader. The tool can generate multiple variations, from brief teaser posts with compelling hooks to longer-form posts that dive deeper into specific concepts from your article. This is particularly valuable for B2B writers who need to maintain consistent professional visibility across platforms.

AI can analyze platform-specific best practices, automatically adjusting post length, hashtag usage, and call-to-action phrasing for optimal performance. For X (formerly known as Twitter), it might create thread-worthy content, breaking down complex topics into digestible segments. For Facebook, it could generate more conversational posts that encourage discussion and sharing among broader audiences.

Beyond individual posts, AI can create comprehensive social media campaigns around your articles. It might suggest a series of posts released over several days, each highlighting different aspects of your content. It also could generate display quotes, infographics, key statistics callouts, and discussion starters that keep your article relevant in social feeds post- publication.

10. Adding E-E-A-T

The more completely a writer like Kelsey relies AI-assisted writing, the less likely it is that the article will contain original insights and the kind of specific content that will give an article E-E-A-T. If the writer didn't do this along the way, now is the time to show and not just tell. Google's E-E-A-T framework (Experience, Expertise, Authoritativeness, Trustworthiness) requires content that demonstrates genuine human knowledge and insight that AI alone cannot provide.

This is where your unique professional experience becomes invaluable. Add specific examples from your own work, industry observations you've made over time, or lessons learned from particular projects or client situations.

The best articles balance AI-generated content with human creativity and oversight. If Kelsey's writing about Google's VEO3, she could include the exact results achieved when testing it against competitors like Runway or Pika Labs. She also could mention the particular technical limitations she discovered when creating videos for a specific client campaign. She might address how it handled complex motion sequences or maintained brand consistency across different video styles.

Concrete examples demonstrate theoretical knowledge, but also practical experience that readers can trust and apply to their own situations. Provide value by including:

• Case studies and real-world applications that separate expert content from generic advice.
• Specific scenarios where you've seen strategies succeed or fail.
• Descriptions of the exact steps you took to solve a particular problem
• Details on the measurable outcomes of implementing certain approaches.

Current, specific statistics are another crucial component for establishing authority. AI can help you find recent studies, but you need to select and contextualize the most relevant statistics that support your specific arguments.

It's also important to note that AI has been known to fabricate data and studies, and it's important to fact-check and cross-reference whenever you can.

Avoiding the AI weak spots

One of the caveats of AI that's important to note: it's scraping data, trying to contextualize it, and repackaging it to the best of its abilities. That being said, it can pull large chunks of data and texts that are unoriginal. This presents both ethical and practical challenges for writers who want to maintain their credibility and avoid potential plagiarism issues.

We know it's tempting to attempt to craft the perfect prompt, hit "generate," and assume that you've found some kind of content shortcut. The reality is: you should treat AI-generated content as raw material rather than finished copy.

Always fact-check AI suggestions against original sources, especially for statistics, quotes, or specific claims. AI can sometimes present information with confident-sounding language even when the underlying data is outdated, inaccurate, or taken out of context. When you're finished, try running content through plagiarism checkers like Turnitin or Grammarly to help identify passages that too closely mirror existing sources.

Make the most of AI-Assisted writing

While individual AI tools can address specific aspects of content creation, platforms like Rellify offer comprehensive solutions that integrate many of the capabilities we've discussed into a single workflow.

The Relliverse™ provides competitive market intelligence and audience topic analysis, while the Rellify™ platform transforms market data into actionable strategies and briefs. This addresses several challenges and topics we've covered, including outline generation, content gaps, and analyzing competitor approaches without juggling multiple separate tools.

For writers looking to maximize productivity while maintaining quality, Rellify's comprehensive platform demonstrates how AI-assisted writing tools are evolving beyond simple text generation into sophisticated content strategy ecosystems that support the entire process from initial research through final publication and promotion.

Ready to see the SEO results you've been chasing? Contact a Rellify expert today for a brief demo to find out exactly how your brand can benefit from AI-powered topic and keyword research, and a platform that enables AI-assisted writing.