“Isn’t your job obsolete now?” 

I’ve been asked this question time and time again since ChatGPT hit the internet in 2022. At first, the question terrified me. Was I about to be replaced by robots? Now, it makes me laugh. “Absolutely not,” I reply. “It’s made my work better than ever.”

It may seem counterintuitive for a writer to love large language models, but I’ve discovered endless opportunities writers would be remiss to avoid. Here are the top five ways marketers and creators can utilize LLMs to improve their workflows and build successful content strategies in 2025.

Read more: 2025 Content Trends

1. Simplify your research

For the past few weeks, I’ve been playing around with Perplexity, and let me tell you, it’s a game-changer. I no longer spend far too long tweaking my queries on Google to find my sources. I converse with Perplexity as a research assistant until I quickly get the specific resources I need.

When you make a query in an answer engine, it generates a response while providing its sources. (ChatGPT won’t automatically provide its sources, but it will if you ask.) Unlike Google, answer engines don’t limit you to a handful of keywords; you can type multiple paragraphs. If your first query doesn’t provide the types of resources you’re looking for, you can get deep and detailed with your question until you do. 

Besides providing a more personalized SERP, LLMs act as a research assistant in myriad ways. Here are my favorites.

• Summarizing a long text. I’ve found this especially useful when trying to make sense of a convoluted transcription.
• Finding specific information within a text.
• Gathering quotes from sources around the web.
• Finding the information I need even when I’m not entirely sure what I’m searching for.

Of course, LLMs aren’t perfect, and you can’t take the information they provide at face value. As you conduct your research, do your due diligence by fact-checking your sources.

2. Create personalized marketing strategies

From the other side of the coin, the ability for users to converse with answer engines allows content marketers to create hyper-personalized marketing strategies. 

When conducting keyword research in 2025, remember that modern users ask questions using complete sentences. To accommodate this, content marketers should start targeting long-tail keywords. I’m not just talking about the four- to five-word phrases that constituted long-tail keywords in the past. I mean full sentences and paragraphs. 

This may seem overwhelming—how can you possibly rank for an entire paragraph?—but it’s actually really cool. Because users are asking longer, more detailed questions, we have the opportunity to address ultra-specific queries. It allows us to create content that directly targets the people we want to reach.

I predict that content strategies in 2025 will focus less on earning high traffic and more on emphasizing high-quality traffic. But, isn’t this better? LLMs provide the opportunity to spear the audience we want rather than casting a wide net and hoping to catch something.

3. Build a content strategy

LLMs are amazing brainstorming tools. They do an exceptional job of coming up with article ideas, analyzing your text to see if it’s targeting the right keywords, and providing keyword ideas.

I like to explore various answer engines to gain a full picture of what my audience might be interested in. While Google remains a key focus, Perplexity and ChatGPT provide additional details that allow me to understand my audience a little bit better. Using these tools, I can add value to the conversation with information that my readers are seeking. It takes the guesswork out of finding and addressing information gaps, allowing me to create content that my audience craves.

4. Make your writing better

A thesaurus will only get you so far. I can’t tell you how many times I’ve plugged a sentence into ChatGPT asking it to find a word hiding at the edge of my brain or to rewrite one of my sentences when the words aren’t flowing quite right.

No matter what anyone tells you, LLMs are not good at creating text from scratch. Sure, it’ll sound okay, but it’s like comparing fast food to fine dining. Fast food will fill your belly, but the fine dining experience is something that you’ll remember. People don’t want to read boring, robotic text. Companies that lean on generative AI to produce their content without investing in a writer to guide its output will present a dull and generic brand.

On the other hand, LLMs make great writing assistants. I can open a dialogue with ChatGPT to craft my sentences the way I want and improve problem areas. This not only quickens my writing process, but it also helps me become a better writer. When you combine the powers of a professional writer with a large language model, this is where the magic happens.

Read more: Why You Should Hire a Professional Writer

5. Leverage new traffic sources

Google has been the dictator of SEO for too long. Now that we have various answer engine platforms where our content can feature, traffic opportunities are huge. 

Although SEO still reigns supreme, prudent content strategists are widening their content focus in 2025. SEO isn’t dead, but it is changing, and content marketers who want to stay on top need to develop AEO (answer engine optimization) strategies, too.

Optimizing for answer engines provides new and exciting opportunities to hyper-personalize your content by answering super-specific queries. It may be the key to directly targeting specific audiences. If you’re not leveraging these traffic sources, then what are you doing?

Large language models cannot replace humans. But they can provide essential tools for humans who know how to use them. I encourage writers and content marketers to start playing around with the AI toolkit and discover the potential that it has to help you create something spectacular.

Looking to create hyper-personalized content that translates into revenue? Let’s chat.