Generative Search vs Generative Grid
While both Gen Search and Gen Grid fall into AlphaSense's AI suite of solutions, they are used in different, distinct ways:
Generative Search is ideal for conducting broad research on singular topics in a chat-like experience. It allows for variability and flexibility to ask follow questions based on initial responses - providing a pathway to dig deeper in any direction you'd like
Generative Grid is ideal for asking a standardized set of questions across tens or hundreds of documents at once, providing the answers in a table view. Generative Grid allows for scale, asking over 100 questions in a single grid.
When to use Generative Search
While you can use Generative Search for a variety of research needs, we find that users most utilize it for:
Company Research
"How is Pfizer leveraging AI for R&D?"
Comparable Questions
“What was JPM’s NII growth compared to Citi?”
Macroeconomic Overviews
“How will tariff policies by the US impact crude oil flows?”
Industry Readouts
"Summarize the major factors impacting the BNPL industry."
Change Over Time
“How has Apple’s smartphone market share changed over time?"
Tips for Effective Prompting
We have a full library of Prompt Engineering Tactics available, but some easy to follow tips include:
Sample Prompts
We have a full library of Generative Search Prompts available - a few popular ones are listed below. Either use these to launch the question as is, or substitute the company/industry for one of your choosing: