Introduction

Effective research is the first step towards making smart marketing decisions in business. Research allows teams to confidently make well-informed decisions, whether they are planning new launches, evaluating competitors, or researching industry trends. However, traditional research is time-consuming and frequently delays decision-making because it requires examining many websites, analyst reports, and industry publications.

The SitecoreAI Researcher Agent simplifies this process by automating deep market and business research, gathering information from different trusted sources, and generating structured reports with citations. The main features and advantages of the SitecoreAI Researcher Agent will be discussed in this blog, along with how it functions through a real-world migration example, best practices for conducting AI-powered research, typical business use cases, and how it integrates with other SitecoreAI tools to improve workflows for enterprise research and content.

What is the SitecoreAI Researcher Agent?

The SitecoreAI Researcher Agent is a built-in AI agent within SitecoreAI that automates business and market research. The Researcher Agent performs intelligent multi-source research, analyzes results, and creates structured reports with citations and references in place of manually gathering data from different sources.

The Researcher Agent generates reusable research artifacts that can assist with campaign planning, competitive analysis, executive reporting, and corporate strategy, in contrast to conventional AI chatbots that only provide answers to inquiries.

Why Use the SitecoreAI Researcher Agent?

Conducting enterprise research manually usually involves:

• Searching multiple websites and search engines.

• Reviewing industry papers and analyst reports

• Comparing the location of competitors

• Putting results into organized papers

• Checking references and facts

These tasks are performed automatically by the SitecoreAI Researcher Agent, which collects data from reliable sources, identifies key findings, and generates structured research reports with citations. As a result, business and marketing teams can dedicate more time to strategic decision-making and less time to information gathering.

Key Features

• AI-Powered ResearchAutomatically research complex topics using multiple search strategies.

• Multi-Source IntelligenceCombines information from web content, analyst reports, and market research organizations.

• Structured ReportsProduces organized reports with sections, summaries, and key findings.

• Source CitationsEvery major insight is accompanied by references and source links for transparency.

• Competitive IntelligenceResearch competitors, market positioning, messaging, and trends.

• Executive-Ready OutputGenerate reports suitable for presentations, strategic planning, and decision-making.

How the SitecoreAI Researcher Agent Works: A Real-World Example

Let's look at a typical business scenario to see how the SitecoreAI Researcher Agent functions in real life. The example that follows shows how the agent investigates a practical business question and produces an organized report that will help in decision-making.

Researching Whether a Company Should Migrate from Sitecore XP to SitecoreAI

• A firm that uses Sitecore XP now wishes to find out if switching to SitecoreAI is the best plan of action.

• Before planning the migration, the executive team must have a thorough understanding of market trends, business advantages, licenses, risks, and industry adoption.

• The marketing team uses the SitecoreAI Researcher Agent to collect and examine data from reliable sources rather than devoting days to manual investigation.

• To help in making well-informed decisions, the agent produces a structured research report that includes important conclusions, suggestions, and citations.

Follow these steps:

Step 1: Open the Researcher Agent

• From the Agentic Studio interface, navigate to the Researcher Agent.

• New research projects are being developed here.

Step 2: Enter the Research Topic

Step 3: Configure Research Parameters

Personalize the research by setting guidelines according to your needs, like:

• Language of the target audience

• Format of output

• Structure of reports

• Extra guidelines for

These configurations assist the Researcher Agent in producing a report that is customized to your audience and particular business goals.

Step 4: Start the Research

Step 5: AI Performs Deep Research

During execution, the Researcher Agent:

• Searches for relevant data from reliable internet sources.

• Investigate industry publications and analyst reports.

• Collects supporting information and market insights.

• Recognizes new patterns and trends.

• Compare data from several sources.

• Verify results using reliable references.

• This happens automatically without requiring manual searching.

Step 6: Review the Generated Output

After processing completes, the agent produces a structured report containing:

• Executive Summary

• Key Findings

• Market Trends

• Competitive Landscape

• Opportunities

• Risks

• Recommendations

• References

Users can review and refine the report before sharing it with stakeholders Read more