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AI Search

Discover what's trending now

Overview

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.

This is useful for both discovery and speed. Users can go from a broad idea to a filtered workflow in one step.

How it works

The search bar accepts:

  • ticker and company searches

  • keyword and term searches

  • natural-language questions

The router interprets the request, understands the intent, and sends the user to the most relevant destination. This is not meant to behave like a chatbot conversation. It is designed to behave like a smart search and routing layer across the platform.

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:

  • trending categories

  • relevant companies

  • fast-moving keywords

  • the right screener tab for deeper work

What the router does

Depending on the query, TickerTrends may route users to:

  • Exploding Trends for raw breakout keyword discovery

  • Trackers for ranked company momentum

  • Forecasts for KPI-driven idea generation

  • company pages when the query is ticker-specific

  • private company pages when the search suggests a private-market workflow

This saves time and reduces the need to manually decide where to begin.

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

It turns the platform into a faster discovery engine and helps users move from idea to workflow with much less friction.

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