By Mary Klett, ASA Communications Team

Most people use AI for basic writing tasks, but deep research mode unlocks a much more advanced capability. Instead of relying only on what the model already knows, deep research sends AI out to actively investigate—reviewing websites, reports, documents, URLs, and large volumes of source material—then synthesizing that information into practical insights.

For business owners, that changes the game. Rather than manually tracking competitor activity, market shifts, customer behavior, and industry trends, AI can gather and organize the information quickly, then highlight the patterns that matter most. The result is not just more data, but better-informed decisions.

Before using deep research mode [available under the + sign on Claude, ChatGPT, and Gemini], there are a few important things to understand. First, it is typically available only on paid plans for platforms such as Claude, ChatGPT, and Gemini, and usage limits may apply. Second, the quality of the output depends heavily on the quality of the instructions. Deep research works best when the AI is assigned a clear role—such as analyst or researcher—and given a detailed briefing. Third, results are rarely instantaneous. While a basic AI prompt may take seconds, deep research can take significantly longer because the system is reviewing and processing much larger amounts of information.

The strongest prompts for deep research usually follow three principles: clarity, context, and cues. Clarity means defining the AI’s role and the exact research objective. Context means giving the AI enough background to understand your business, goals, audience, offer, and the decision the research is meant to support. Cues include supporting materials such as customer feedback, landing pages, business plans, survey data, campaign assets, or competitor examples. The more relevant information you provide, the more useful the output becomes.

It also helps to build the prompt as a step-by-step standard operating procedure rather than one giant open-ended question. Instead of asking for a broad analysis all at once, guide the AI through a sequence of actions that build on one another. This layered approach improves both accuracy and depth. A smart addition is to ask the AI to provide clarifying questions before it begins so it can identify missing information instead of making assumptions..

For example:

Step one: Read through the full tax legislation.

Step two: Produce a report on the implications for her specific business entity and location, given the business context she provided.

Step three: Read through all the federal funding bill reports.

Step four: Identify companies most likely to benefit from the funding shifts.

Step five: Run individual financial research on each of those companies.

Step six: Generate a final report with investment recommendations, scored by growth potential and ROI.

Each step feeds the next, and the layered approach dramatically improves both the depth and quality of the final output.

For business owners and marketers, the use cases are significant. Deep research can analyze complex documents, track platform changes, monitor competitor positioning, identify shifts in buyer psychology, evaluate marketing funnels, and compare software or product options before a purchase. It can also help generate tailored reports by combining internal business materials with public information from across the web.

For example, want to know about the impact of impending tax legislation on your business? Using Gemini’s deep research mode, a researcher had it process more than 1,000 pages of tax legislation and produce a tailored report on the implications for her S-corp in California. The process took approximately three hours and surfaced the exact questions to bring to her accountant, the changes to anticipate, and how to restructure her business accordingly.

Deep research is well-suited to analyzing what’s currently happening in your specific industry – or construction in general – and how AI and emerging technologies are likely to affect your space over the next few years. Use it to run a full competitive analysis to understand where to position yourself relative to competitors in the market. You can also ask it to identify where your offer might be expanded or future-proofed as the landscape shifts.

Deep research is effective for evaluating competing software tools or products before making a purchase decision. It can compare features, pricing, user feedback, and fit for your specific needs across multiple options at once.

Among the major tools, Claude, ChatGPT, and Gemini each bring different strengths. Claude is often valued for reasoning and long-document analysis. ChatGPT is known for structured thinking and speed. Gemini stands out for deep web research, handling multiple URLs well and drawing from Google’s broader ecosystem, including video. For anyone trying to make faster, smarter business decisions, deep research mode is becoming one of AI’s most useful capabilities.

But it all hinges on your prompt. And that takes practice…and trial.