What Is Deep Research? Using It to Strengthen Your SEO Strategy

With SEO trends changing constantly, such as AI Overview, Featured Snippets or Google core updates, getting information in time is key to holding your rankings. And Deep Research is the “a powerful helper” that helps SEOs keep up with the market, optimize content and push a website to the top quickly.

Find out with MONA Media Let’s explore what Deep Research is and how to use this tool to optimize your SEO strategy more effectively.

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What is Deep Research?

Deep Research Colocation is a AI agent (AI agent) developed by OpenAI, built directly into ChatGPT, designed to carry out in-depth, multi-step and complex research tasks on the Internet automatically.

Unlike traditional AI models that respond quickly to single queries, Deep Research mimics a real human research process and can take 5 to 30 minutes (or more) to gather information from hundreds of sources, including text, images, PDFs and spreadsheets. It then analyzes the data from many angles, reasons through it and presents the result as a complete report with clear source citations to keep things transparent and reliable

Today, many big tech companies such as OpenAI, Google, Perplexity, xAI… have launched their own Deep Research versions. Among them, OpenAI’s Deep Research is highly rated for handling information at an expert level.

Deep Research AI tools is a powerful assistant that will help you:

• Search and filter information from many different data sources
• Analyze situations from many angles
• Always keep data up to date
• Support market and competitor analysis and evaluation
• Research highly specialized topics in depth
• Compare products/services objectively

According to the most demanding AI test available, OpenAI’s Deep Research clearly outperforms other AI models. Specifically, the Deep Research model currently leads an AI accuracy test called Humanity’s Last Exam, an expert-level benchmark of AI ability across fields such as mathematics, natural sciences, social sciences and the humanities. 

With web browsing and Python tools, Deep Research reached an accuracy of 26,6%, far ahead of other models such as GPT-4o (3.3%) and o3-mini-high (only 13% with plain text).

What is the difference between ChatGPT and Deep Research?

Before going deeper into how to use Deep Research to optimize SEO strategy, let’s review the difference between regular ChatGPT and Deep Research below.

Regular ChatGPT

• Responds to queries based on its existing training data: ChatGPT uses knowledge it “learned” before 2024 to produce responses.
• Support SEO specialists to develop ideas, content direction and SEO strategy at a general level.
• Cannot retrieve real-time data and gives no specific source citations in its answers.

If you need quick ideas or an explanation of foundational knowledge, you can use the regular ChatGPT versions (for example GPT-4o, GPT4o-mini,…)

Deep Research model

• Collects real-time data from many different data sources
• Synthesizes information from multiple perspectives with clear citations (links and specific notes).

It also supports in-depth research, especially for tasks such as:

• Competitor analysis
• Signal evaluation E-E-A-T (Expertise, Experience, Authoritativeness, Trustworthiness)
• Checking content for accuracy and freshness

If SEOs SEO copywriting and content creators need to research information and evidence in depth, they can use Deep Research.

Example showing the difference between ChatGPT and Deep Research 

Suppose you want to understand how Google’s latest core update affects search rankings.

• Prompt ChatGPT: “What are the main changes in Google’s latest core update and how do they affect SEO rankings?” 

→ ChatGPT answers by combining information from earlier updates, but it has no latest data, cites no sources and may be inaccurate for today.

• Prompt Deep Research: “Summarize the latest expert analysis of Google’s December 2024 core update, including factors that affect keyword rankings.”

→ Deep Research pulls analysis from reputable SEO sites, synthesizes it, attaches 13 full citations and gives an analysis 1.068 in detail.

For example, when we tried the prompt above, Deep Research returned a 1,068-word analysis (not counting the list of 13 citations with links). Here is an excerpt:

“The 12/2024 update from Google favors websites with high-quality, trustworthy content and cracks down harder on low-quality or spam content[^1]. SEO experts note that Google keeps stressing the importance of original, high-quality content that clearly shows E-E-A-T[^2]. Websites with thin or duplicate content, especially in the YMYL group, saw clear ranking drops[^3]. AI-generated content is also more tightly controlled, especially automated content that does not meet quality standards[^4].”

The notes and citations in Deep Research responses let SEOs know exactly who said what and where, making it easier to judge reliability and make smarter decisions.

According to SimilarWeb statistics, as of 5/2025, organic traffic to news sites has dropped from 2.3 billion visits to 1.7 billion, since Google launched AI Overview. 

Notably, the share of users who do not click any link after viewing the AI-provided summary also rose from 56% to 69%. The statistics clearly show users now get the information they need straight from Google’s answer with cited sources. 

Given this clear shift, optimizing your website to improve ranking in AI Overview is no longer optional, it is an important strategy when running AEO service.

With over 10 years of experience delivering SEO for hundreds of businesses, MONA Media commits to:

• Advising on an AEO strategy that fits your specific goals
• Combining AEO optimization with modern SEO criteria
• Optimizing the website to SEO standards with a chance to appear in AI Overview

Contact with MONA Media to get advice and a fast SEO service quote.

How to use OpenAI’s Deep Research to optimize your SEO strategy

To optimize a structured full-scope with OpenAI’s Deep Research, you can use the tool’s features to analyze real-time data and find in-depth information. Specifically, ways to use Deep Research AI cho SEO effectively.

Analyze competitors and track search results (SERP)

One of the most effective ways to use Deep Research to optimize your strategy SEO web is analyzing competitors and tracking search results (SERP) in real time. This step is extremely important if you want to know what competitors are doing, what content gets them to the top, and where the opportunities are for your website to rank on Google.

For example: Suppose you are producing SEO content for the keyword “best SEO tools for AI 2026”. Instead of compiling by hand or relying on old information, you can enter a prompt into Deep Research like this:

“Summarize the 5 most effective SEO tools for AI in 2026, summarizing features, pricing, pros/cons and attaching source links.”

Deep Research immediately analyzes and responds with many different sources, takes the latest information and organizes it logically into an overview comparison table. This lets you:

• See clearly what competitors are writing and where the gaps are.
• Create more detailed, more up-to-date content with clear evidence.
• Optimize your website on the SERP, since Google increasingly favors content with real, verified value.

Instead of “guessing” or writing on gut feeling, a Deep Research tool gives you a broader view so you can build an effective content strategy. 

Researching topics and content ideas is how to use Deep Research for SEO 

Planning content is not just about finding keywords. You need to work out what users are really searching for, pick the right topic, and back it up with credible evidence so the article stands out.

With Deep Research, you can:

• Find trending or evergreen topics quickly.
• Pull information from credible sources, industry reports, expert opinions and more.
• Strengthen E-E-A-T with content that cites clear, trustworthy sources.
• Produce quality articles that are timely and easy to attract readers

Example prompt for blog ideas: “What are the new trends in AI search optimization in 2026? Are there any reports or experts commenting on this?”

Within seconds, Deep Research returns a list of trends with specific references, so you can come up with content ideas fast.

Using Deep Research to optimize E-E-A-T in SEO

Google increasingly favors quality content that clearly shows the E-E-A-T criteria (Experience, Expertise, Authoritativeness, and Trustworthiness)

With a Deep Research model, you can easily:

• Find credible sources to cite, which makes your content more trustworthy.
• Find quality links from industry sites to build quality backlinks.
• Find the right experts and bring their opinions into your article to add depth and credibility.

Example prompt to optimize E-E-A-T: “Find studies that analyze the impact of AI content on SEO rankings.”

The results usually come with specific citations and source links, helping you write articles that are in-depth, verified and well regarded by Google.

Using Deep Research to streamline SEO execution

Effective SEO takes more than a good strategy. It also means using your time well when you execute full-scope SEO.

With a Deep Research model, you can use it to:

• Automate source finding, SERP analysis and insight extraction.
• Focus on building your content strategy.

Tips for writing effective Deep Research prompts

To get the most out of Deep Research for your website's SEO, keep a few things in mind when you build your prompt:

• State your request clearly and in detail: Describe exactly what you need from the start. Deep Research runs many complex, time-consuming steps, so a clear query helps the AI grasp the goal quickly and avoids wasting time and resources.
• Break complex questions or topics into small, clear parts: If your question or topic is fairly complex, split it into smaller parts. That way OpenAI's Deep Research can handle each step logically and avoid getting “overloaded” or misreading what you mean.
• Answer and clarify the follow-up questions the AI asks: During a query, Deep Research may ask extra questions to clarify the details. Answer them fully so the AI can deliver better results and avoid unnecessary mistakes.
• Ask for accuracy and reliable references: Prioritize requests that need high accuracy, with citations from credible sources such as scientific reports, trusted organizations or real data. This makes the final result more convincing and more useful for your work.
• Make use of analysis across different data formats: Deep Research can work with many kinds of data, such as text, images and spreadsheets. Ask the AI to summarize, compare or present results in tables and charts when needed so they are easier to read at a glance.
• Set a suitable research scope: Avoid requests that are too broad or vague, because they stretch processing time and the results lose focus. Define a specific scope for each task.
• Use clear action commands: Instead of writing in general terms, use specific commands such as “Analyze the trend of…”, “Compare the pros and cons of…”, “Summarize in a table…”, “Cite sources properly…”. These instructions help the AI understand exactly what you expect.

A clear prompt for a Deep Research model needs to balance specific detail with enough flexibility for the AI to ask back when needed. You should also state the presentation style you want and ask for source citations. 

Deep Research is more than a smart search tool. It has become a strong ally in modern SEO strategy. By understanding user requests in depth, analyzing from many angles and pulling together information from many credible sources, Deep Research helps businesses reach accurate information faster and more completely than ever.