AI Research

Research that happens inside your list.

Scrape a webpage, search the web for links, crawl an entire site, generate a sitemap or pull structured data out with an AI extractor — all applied to the rows you are already working on.

Five research tools, one workspace

The lookups you would otherwise do by hand, applied at list level.

Scrape webpage data
Pull the content of a specific page — a pricing page, an about page, a careers page — into your table.
Search web and find links
Search the web from a row and keep the links that matter for that company.
Crawl an entire website
Go through a whole site rather than a single page, when the information you need is spread across it.
Generate a site map
Get the structure of a site, useful to understand what a company does before deciding how to approach it.
AI web data extractor
Turn unstructured page content into structured fields, using an instruction you write yourself.
Applied to a whole list
Every tool runs on your rows, so the research output sits in the same table as the rest of the record.

How does it work?

From a company name to structured knowledge.

Choose the tool
Pick what you need for this list: page scraping, web search, a full crawl, a sitemap, or AI extraction.
Point it at your rows
Run it on a single company or on the whole list, using the domains and context already in your table.
Read the structured result
Findings are written into columns, so you can filter, compare and export them like any other data.

When manual research does not scale

Two moments where the browser tab loses.

Qualifying by offer
You sell to a specific business model
Whether a company fits often depends on what its site actually says. Scraping the relevant page for every row answers that question across a list, not one account at a time.
See how →
Building context at scale
You need one fact per account
A single field — a positioning line, a customer type, a stack mention — changes a message. Extraction gets that field for the whole list in one run.
See how →

AI research, answered

What the tools read and where results land.

Does the agent browse the web on its own?

The research tools fetch the sources you point them at — a page, a site, a web search from a row. You choose the tool and the scope.

What is the difference with Custom AI Agents?

These are the research building blocks. A custom agent can use their output as context, together with your own instruction.

Where does the extracted data go?

Into columns of your table, next to the contact and company fields, so it stays exportable.

Does it consume credits?

Yes, like other enrichment and AI operations. The published cost table is on the pricing page.

Can I define what to extract?

Yes. The AI web data extractor takes an instruction you write, so the structured fields match what you actually need.

Ready to research a whole list at once?

Start for free. No credit card required.

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