Trend Lab - Gen AI Alternative Data Research + Contextualize "Why" a Search Spiked

We have recently launched an alternative data trained AI assistant called "Trend Lab".

The user can ask the chatbot to do anything - from doing research on stocks to adding keywords that would be relevant to the financial performance of a company.

Research has never been this easy. Let's go through an example with $LLY (Eli Lilly). In the "Type your message..." box we can write something like "Add search trends for Eli Lilly's largest brands".

The AI will begin processing the request.

Upon completion, the keywords for $LLY's main drugs will just show up without any prior knowledge!

We can also do faster research if we wanted to be time-efficient by opening multiple chats to leave running simultaneously.

This way, a user can conduct more research while other tasks are still running in the background.

Note: When writing prompts, being more specific in this case tends to work better than being too general! - "Add search trends for $LLY but don't include other GLP-1 brands or the word "eli lilly" itself" is a perfectly valid prompt.

Users can also now understand social context about why a trend spiked at any particular time.

Select the "Toolbar" option and highlight any range.

This will show a highlight option.

Let's say we want to understand what was happening to "vital farms" in October 2024 to cause the massive rise in search interest it experienced.

Simply highlight the range and then follow the prompt to analyze.

Choose "Analyze all selected trends". Then select the social context, news, or trend comparison options shown.

In this case we selected "Social Discussion Context". This will input the prompt we need to enter into Trend Lab.

And it instantly contextualizes why a search spike happened, using only information from the selected period of time. We now get the answer why!