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 foodwhat's exploding on TikTok right now?find private AI companies with accelerating consumer interesthow 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 awarenesswhat 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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