AI Deep Research: A Guide With Practical Examples

If you’ve ever felt overwhelmed by marketing research, you’re not alone. I’m a senior content manager, and trust me - I’ve tried every tool, every shortcut, and every hack to save time and get better data. But time is changing, and now Deep Research is the main character in my play.

Let me show you what it is, how I use it, and why I think every marketing manager needs this in their toolkit. I’ll also walk you through two practical, real-life tasks: boosting internal linking on our site and collecting fresh data for a story-driven article.

I’ll share the exact steps and scripts I use, so you can do it too.

What Is AI Deep Research?

Deep Research is a feature in ChatGPT that lets me tap into the real, live web: news sites, industry blogs, competitor pages, research reports, and more. I

nstead of just relying on what the AI “remembers” from its training, Deep Research checks up-to-date sources and gives me clickable links.

Think of it as your own digital research assistant - one that works 24/7, never gets tired, and always brings receipts.

Deep Research With Different Models

You might wonder, “Does it matter which ChatGPT model I use?” Yes, it does!

• GPT-3.5 is quick and fine for simple tasks, but it doesn’t support Deep Research.

• GPT-4 is a big step up—great for deeper, more detailed research, and it can access current data using Deep Research.

• GPT-4o is the newest and best. It’s fast, super smart, and does the most thorough Deep Research, pulling the latest info from all over the web.

For any serious marketing work, I always use GPT-4 or GPT-4o with Deep Research turned on.

Why Use Deep Research in Marketing?

Here’s why Deep Research changed the game for me:

• Saves time: no more bouncing between Google, competitor sites, and analytics tools.

• Finds gaps and new ideas: I spot opportunities I’d never find on my own.

• Keeps me up-to-date: I get the latest numbers, not last year’s trends.

• Cites sources: everything’s clickable, so I can check (and my boss can check) where the info came from.

Now, let me show you how I used Deep Research for real projects.

How I Used Deep Research to Improve Internal Linking

I wanted to boost SEO on Marketing Kawowarka by improving our internal links. Here’s exactly how I did it, step by step.

Step 1: Gather a List of Key Pages

I listed our most important pages: main guides, high-traffic blog posts, landing pages.

Step 2: Open ChatGPT (GPT-4o With Deep Research)

I started a new chat, selected GPT-4o, and turned on Deep Research.

Step 3: Give ChatGPT the Task

Here’s the script I used:

You are an SEO expert specializing in internal linking strategies for business websites.

Please review (your website name) and suggest specific internal links I should add between my top 10 pages to improve SEO and user navigation.

Requirements:

• Crawl all internal pages of the website, excluding navigation, footer, and sidebar content.

• Find content where it would be natural and helpful to link to the target page.

• Exclude any pages that already contain an in-content link to the target URL.

• List the target URL, suggested anchor text, and where to add each link. Use only pages currently on the site.

OR

If you want to improve internal linking for spesific page use this prompt:

You are an SEO expert specializing in internal linking strategies for business websites. Please review (your website name) and suggest specific internal links I should add to this Target URL: [target page link]

Requirements:

• Crawl all internal pages of the website, excluding navigation, footer, and sidebar content.

• Find content where it would be natural and helpful to link to the target page.

• Exclude any pages that already contain an in-content link to the target URL.

• List the target URL, suggested anchor text, and where to add each link. Use only pages currently on the site.

Step 4: Review and Apply Suggestions

ChatGPT gave me a list - target URLs, recommended anchor texts, and even which paragraph or section to place the link in.

I double-checked a few links to make sure they made sense for readers. Then, I updated the articles.

How results look like:

How I Used Deep Research for Data-Driven Storytelling

I love writing content that stands out. For a recent data-driven article, I needed up-to-date stats, quotes, and trends from the marketing world. Here’s how I collected everything fast with Deep Research.

Step 1: Define My Angle and Audience

I decided to write about “The Rise of AI Tools in Digital Marketing” - with a focus on practical impact, not just hype.

Step 2: Script My Research Prompts

Find the most recent statistics (from 2024 or 2025) on how marketing managers use AI tools in their daily workflow.

• Provide at least five unique, up-to-date data points, such as adoption rates, favorite AI tools, top use cases, or reported results.

• For each statistic, include the data point, the source name, and a direct link to the original report, survey, or news article.

Then, list three recent real-world examples (from 2024 or 2025) of brands using AI for content creation or campaign optimization.

• For each example, briefly summarize what the brand did, mention any results (if available), and provide a direct link to the source (such as an article, press release, or case study).

💡Note: After you submit your requirements, ChatGPT might ask a few additional questions to clarify your topic, focus, or preferred sources. Be ready to answer these so the AI can deliver the most relevant and accurate results for your article.

What could the questions look like?

Step 3: Collect and Organize Data

ChatGPT gave me up-to-date numbers, industry insights, and direct quotes from credible sources. I copied everything into a Google Doc, keeping source links for fact-checking.

Step 4: Shape the Story

With data in hand, I wove the numbers and quotes into a narrative:

• Here’s what’s happening

• Here’s who’s doing it

• Here’s what the data says

• Here’s why it matters

  
  

Why These Steps Work

• Deep Research gives me a head start: I skip hours of manual searching.

• I use real, up-to-date data: no more quoting stats from 2021.

• It’s easy to double-check facts: every claim has a link.

• Internal linking gets done faster: I get practical, relevant recommendations, not just generic SEO tips.

Final Thoughts

If you’re a marketing manager, don’t wait to try Deep Research. Whether you’re optimizing your site or building a killer campaign, it’s like having a super-smart, always-available research partner. And if you want even better results, try GPT-4o - it’s worth it.

If you’re new to ChatGPT, it’s best to start by learning how to get better results with Chart GPT. This will help you get better results with the "Deep Research" tool.

Ask ChatGPT

One thing to keep in mind:

Deep Research isn’t available to everyone. As of now, you’ll need a ChatGPT Plus, Team, or Enterprise subscription to use it. Free users can’t access Deep Research, and even with a paid plan, there are some limits:

• ChatGPT Plus (the personal paid plan): You can use Deep Research, but you might hit daily message or research limits during high-traffic times. The exact number can change, but for most users, it’s enough for daily marketing tasks.

• ChatGPT Team and Enterprise: You get more generous limits, priority access, and better speed- great if you’re working with a bigger marketing team or need Deep Research all day long.

• Free plan: No Deep Research access.