Generative AI in Market Research

The future of market research is in generative artificial intelligence (genAI).

Over the last few years, this branch of artificial intelligence has been making waves across industries, from healthcare to financial services toconsulting, among others.

Generative AI has already proven itself as a powerful tool in the realm of market research and competitive intelligence, helping companies penetrate new markets, identify untapped customer bases, analyze consumer behavior, and develop strategic initiatives.

However, the use of generative AI solutions in market research comes with its challenges. First, if the technology is not trained on accurate professional content, it becomes impossible to separate fact from fiction or extract workable insights. Secondly, not all generative AI models are designed for financial and business intelligence needs, raising serious concerns about security and data privacy, as well as trustworthiness of information generated.

For these reasons and more, many companies are becoming increasingly selective about the generative AI tools they choose to leverage — so as to mitigate risk and safeguard sensitive company and customer data.

Enter: AlphaSense.

Why AlphaSense?

AlphaSense is a leading provider of market intelligence, with over 10,000 high-qualitycontent sources from more than 1,500 leading research providers — all in a single platform.

Top financial institutions, corporations across various industries, and consulting firms rely on AlphaSense to gain access to private and public company documents, news and regulatory documents, expert calls, and broker reports— all of which are key for comprehensive market research and confident decision-making.

AlphaSense is built on artificial intelligence (AI), machine learning, and natural language processing (NLP)— which speed up your time to insight and enhance your qualitative research process. With features like synonym recognition and sentiment analysis, our platform helps you extract the most important and relevant insights contained within each source and understand the underlying nuance and meaning in the text.

Our premium and proprietary content sets, automation capabilities, and AI features are why G2 has consistently rated AlphaSense a leader in market intelligence for corporations and financial institutions alike. And now, with AlphaSense’s industry-leading suite of generative AI tools, our ability to dramatically reduce research time and deliver answers to your key questions in mere seconds is better than ever.

Enhance Your Market Research With Generative AI

Here’s how AlphaSense’s industry-leading suite of generative AI tools takes your market research and competitive intelligence workflows to the next level:

AlphaSense Generative Search

Our genAI chat experience transforms how users can extract insights from hundreds of millions of premium content sources. Generative Search is trained to think like an analyst, so it understands the market research intent behind your natural language queries.

Whenever you search for information, Generative Search helps you get up to speed on a company or topic by instantly getting you the answers you need. For example, you can ask Gen Search to discuss the electric vehicle investments of automotive companies, analyze R&D spending within pharmaceutical companies, or summarize existing internal research that has already been done on a particular market, to name a few.

You can dig deeper into topics by asking follow-up questions or choosing a suggested query. Each answer will always provide citations to the exact snippet of text from where the information was sourced. Generative Search is constantly evolving and incorporates a variety of reasoning models and agentic workflows.

AlphaSense Generative Grid

Our newest genAI tool, Generative Grid, applies multiple genAI prompts to many documents at the same time to quickly provide organized answers to research questions at scale, in an easy-to-read table format. This enables clients to summarize documents using pre-built criteria to save time when executing repeatable workflows.

Generative Grid pulls data from both premium external documents in the AlphaSense platform and users’ internal content. From there, users can choose preset templates or create their own to automate routine workflows. Each summary provides a direct citation to the source material it was pulled from.

Some of the top Gen Grid use cases include, but are not limited to:

• Staying on top of your coverage universe during earnings season
• Identifying red flags across customer contracts in your data room
• Speeding up CIM reviews to quickly spot opportunities
• Creating a comp table that summarizes key topics across a peer set
• Extracting key insights from a set of expert call transcripts

Smart Summaries for Earnings

Earnings Summaries delivers instant document-level summaries of earnings call transcripts that identify, organize, and summarize the most critical insights, enabling you to understand the key points of an entire call in seconds.

Key Use Cases:

• Competitive Analysis and Benchmarking– Stay on top of every competitive movement with the key moments of every earnings call summarized and at your fingertips
• Portfolio Monitoring– Build a more complete mosaic of your investment portfolio with at-a-glance earnings coverage of non-core companies
• Earnings Prep– Spend less time parsing through transcripts during earnings season with modules that summarize the most critical moments of a call
• Client/Supplier Relations– Personalize your pitches to new clients by referencing key guidance from their CEO

Smart Summaries for Companies

Company Summaries provide instant, complete overviews of the most important information you need to evaluate a company, across a variety of key perspectives.

Key Use Cases:

• Competitive Monitoring and Benchmarking– Stay on top of every competitive movement with the most critical happenings at any company summarized and at your fingertips
• Portfolio Monitoring – Build a more complete mosaic of your investment portfolio with at-a-glance coverage of non-core companies
• Strategic Monitoring and Research– Expand your reach across end markets and strategic areas with summarizations of key events, expert analysis, and more
• Company ID and Market Landscaping– Get smart on a new company with summaries of earnings performance, competitive landscape, and SWOT analyses, directly from industry experts
• Client/Supplier Relations– Get a leg up on client or supplier research without it consuming your entire day

Related Reading:Generative AI for Industry and Company Research

Generative AI Applications Across Industries

Generative AI in Healthcare

Discover the key use cases of genAI in healthcare, as well as backlash against its applications, and our prediction for the future of this technology in healthcare.

Generative AI in Financial Services

Discover the main use cases, benefits, challenges, and risks of using generative AI in the financial services space, as well as how financial services teams can better prepare for genAI implementation.

Generative AI in Consulting

Discover the main impacts, drawbacks, use cases, and ethical considerations of implementing generative AI in the consulting industry.

Generative AI in Energy

See how generative AI is impacting the energy sector—including key use cases, drawbacks, and future outlook for this technology.

Generative AI in Hedge Funds

Discover the top use cases, benefits, challenges, and best practices for incorporating generative AI in hedge fund workflows.

Generative AI in Consumer and Retail

Learn about the genAI use cases in the C&R space, as well as the benefits, risks, and future outlook for this technology.

Generative AI in Manufacturing

Learn about the key use cases, risks, and future outlook of generative AI in the manufacturing sector.

Generative AI in Insurance

Discover how generative AI has been impacting the insurance sector—including key use cases, benefits, risks, and future outlook.

Generative AI in Investment Banking

Learn about how genAI is revolutionizing IB workflows and streamlining internal knowledge, as well as what IBs need to know to position themselves for success in this chapter of digital transformation.

Generative AI for Investment Research

Learn how genAI can transform your investment research workflow and help you generate more alpha.

How Generative AI is Transforming the Semiconductor Industry

Learn all about how the genAI boom has been transforming the semiconductor industry and what opportunities it’s created.

Generative AI for Enterprise

AlphaSense Enterprise Intelligence is a secure, end-to-end market intelligence solution that leverages genAI to unlock insights from premium external and proprietary internal content — all in a single platform.

With Enterprise Intelligence, you’ll be able to apply our proprietary AI stack over your internal content at scale, effortlessly ask questions like “Do we have any research on Google’s AI investment?”, and receive back instant insights unique to your organization's perspective. Or expand the reach of these insights even further to include valuable external perspectives (ex. broker research, industry reports, expert insights, etc.) to create a 360° view of any topic.

By ingesting your internal knowledge base, our AlphaSense Large Language Model (LLM) can securely understand your organization’s data sets and provide a comprehensive, unique, and ever-evolving view of your business and markets.

Some of the capabilities of AlphaSense’s Enterprise Intelligence include:

• Instant GenAI-Powered Answers– Our purpose-built genAI chat and summarization capabilities deliver instant, accurate, and secure summarizations of both premium external and proprietary internal content.
• Ease of Integration– Through either an AlphaSense-managed solution in our secure cloud or a customer-managed solution in the cloud of your choice, Enterprise Intelligence allows you to integrate your content at enterprise scale through our Ingestion API or Enterprise-Grade Connectors — like Microsoft 365, Box, S3 & more — easily supporting the uploading and management of tens of millions of documents.
• Enterprise-Grade Data Protection– We are committed to the security and privacy of your data. AlphaSense Enterprise Intelligence's cloud environment complies with global security standards – SOC2, ISO270001 compliant, conducts regular, accredited third-party penetration testing, offers FIPS 140-2 standard encryption on all content & supports SAML 2.0 integration.

In addition to these, AlphaSense’s Enterprise Intelligence boasts scalability features such as user management, broad system connectors, infrastructure compatibility, and collaboration tools.

Ethics of Generative AI in Business

The importance of discussing ethics in the realm of generative AI cannot be overstated, particularly when it pertains to business and financial applications. When using genAI for market research purposes, it is imperative that the technology is trained on vetted, quality sources, that results are auditable and verifiable, and that the AI is trained on top-tier business and financial content.

Here’s how AlphaSense ensures that our product upholds ethical standards and that you don’t risk using biased or unreliable data in your research or analysis:

• Built for Business & Finance: Our decade-long investment in AI has allowed us to develop technology built specifically to hone in on financial and business information, capturing insights with reliability and precision — and without hallucination or biases.
• Trustworthy Sources: Our generative AI draws on a content database filled withtop-tier business and financial content, including company documents, business news, expert transcripts, and analyst reports. This means our users can be confident that the summarizations come from the most trustworthy and relevant sources.
• Easy Auditability:Users can easily check the original content for context and validation with one-click citations — a critical capability for our customers who are relying on the insights that we deliver to power million-dollar decisions every day.

Related Reading: How to Combat Generative AI Hallucination