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Using the Search Summary for Landscape Analysis
Using the Search Summary for Landscape Analysis

With AlphaSense you can easily build your landscape analysis, and understand the players in the space and how markets are unfolding.

Mark Jones avatar
Written by Mark Jones
Updated over a week ago

Search Summary

Whenever you make your keyword search, a Search Summary will automatically appear.

The Search Summary Module includes:

  • Document Trend Chart. In a glance get a clear view into the total number of documents related to the keyword you’re searching, as well as the trend in that keyword’s mention over the last 90 days. The legend illustrates document type for easy scanning.

  • Company List. See a list of the companies most related to the keyword you’ve searched. For company discovery, you can adjust the Market Cap Filter for the search to surface only private companies or only public companies with a certain Market Cap, or limit via the industry filter. Depending on whether you’re confirming a hypothesis or trying to discover companies you’ve never heard of, tweaking the filter will help pinpoint companies that are most relevant to you.

  • Industries.Viewing the industries in the module shows industries talking about a topic the most. You can find non-obvious plays by re-filtering the search by industry.

  • Regions. Identify the geographies talking most about the keyword you’re searching.

Summary PDF & Export

You can also download a summary PDF for future reference.

  • Document results. Select Export on the bottom-right corner of your results viewer.

  • Search summary module. Select Export Table to Excel on that module

Expert tip: To make sure you never miss out on a single update related to your search, you can click Save Search to create an alert.


Q: How is the 90D % change calculated?

A: The 90d metric is driven by the normalized trend score. For each period:

  • AlphaSense's AI calculates the total number of documents that match your search and then divides this number by the total number of documents that could have been a match (i.e the number of docs returned by the same search but with a blank keyword search).

  • It then normalizes this time series by assigning a trend score of 1 to the highest value in the series, and re-scaling each of the other numbers in the series.

This means that, for any period in the chart, the trend score is an indication of the relative frequency of discussion of your search term - that is, it accounts for differences in overall document volume between periods.

The 90d change number is then calculated as the average of the trend score for the most recent 90d period, divided by the average of the trend score for the 90d period before. This score is intended as a simple indication of whether the relative frequency of discussion of the topic is increasing or decreasing, and by how much.

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