AI Search

Use natural-language search to start investment research workflows.

Search investment research workflows

AI Search lets users search TickerTrends in plain English.

Instead of starting from a ticker or manually setting filters, users can type a natural-language question and let TickerTrends route them to the most relevant page, screener, or dataset.

Use it to start a research workflow from a ticker, term, or question.

How it works

The search bar accepts:

• ticker and company searches

• keyword and term searches

• natural-language questions

The router may direct the request to a relevant destination. Review the resulting scope and filters.

Example queries

Users can ask questions such as:

• what fashion brands are trending on TikTok?

• viral food

• what's exploding on TikTok right now?

• find private AI companies with accelerating consumer interest

• how is Nvidia trending on social media

These prompts help users discover:

• available categories

• relevant entities

• changing keywords

• the right screener tab for deeper work

What the router does

Depending on the query, TickerTrends may route users to:

• Exploding Trends for keyword discovery

• Trackers for directional company indicators

• KPI Tracking for KPI estimates, revisions, and consensus context

• Data Source KPIs for source-level signal analysis

• Catalysts for catalyst-oriented research

• Upcoming Earnings for near-term earnings research

• company pages when the query is ticker-specific

• a relevant screener mode with the Private universe selected for private-company research

Results and routing may vary by query, coverage, and entitlement.

Saved screener views

Save a screener view to return to the same research workflow later. Saved views retain:

• the active screener mode

• the selected universe or scope

• applied filters

• the search query

• sorting

• selected data type

Open a saved view directly from a query to restore its saved configuration. Availability depends on the user's access level. For more on screeners, see Unified Screener.

Search suggestions and recent results

When users click into the search bar, TickerTrends can surface:

• recent tickers

• recent private companies

• direct company matches

• natural-language guidance for what users can ask

This makes the search bar useful both as a navigation tool and as a discovery surface.

Best practices

AI Search works best when the prompt is phrased like a search goal.

Good examples:

• consumer companies with accelerating awareness

• what fashion brands are trending on TikTok?

• viral food

Less useful prompts are overly long or conversational. Short, direct intent works best.

Why it matters

AI Search makes TickerTrends easier to use when users do not yet know:

• which ticker to start with

• which dataset to search

• which screener tab fits the question

AI Search is a navigation and research aid. It does not validate a conclusion or recommendation.