Find Companies
Find Companies searches the company index and creates a row per account that matches your filters.
It is the account-first half of TAM building: define the companies you sell to, land them as rows, then find the people inside them.
- Action
- Find Companies
- Category
- Lead Sourcing — Search
- Limit
- Monthly Search People/Company allowance on your plan
- Required input
- At least one filter
- Returns
- Companies with domain, LinkedIn URL, industry, headcount and HQ
Monthly limits
Every company returned counts against your plan’s Search People/Company per month allowance. The allowance is shared with Find People and resets each month.
| Plan | Search People/Company per month |
|---|---|
| Solo | 5,000 |
| Growth | 20,000 |
| Pro | 50,000 |
| Business | Unlimited |
| Enterprise | Unlimited |
Current plans and prices are on the pricing page .
What it does
- Searches the whole market for accounts, not a list you upload
- All filters combine with AND. Multiple values inside one filter combine with OR.
industry: [Software Development]plusemployee_range: [51-200, 201-500]means “software companies with 51–500 employees” - Most text filters take an include and an exclude list
- Range filters (revenue, funding, traffic, ad spend) match when a company’s band overlaps the range you set. Leave a bound at 0 to leave it open
Filters
| Filter | Type | What it matches |
|---|---|---|
| Company name — include / exclude | List | Keywords in the company name |
| Industry — include / exclude | List | Exact LinkedIn industries — e.g. Software Development, IT Services and IT Consulting, Biotechnology |
| Company type — include / exclude | List | Privately Held, Public Company, Nonprofit, Partnership, Government Agency, Educational, Educational Institution, Self-Employed, Self-Owned, Sole Proprietorship |
| Employee range | List | 1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10001+ |
| Employee count | Min / max | Exact LinkedIn headcount range, when the brackets are too coarse |
| Minimum LinkedIn followers | Number | Company page followers |
| Revenue | Min / max (USD) | Annual revenue band |
| Keywords — include / exclude | List | Searched across company description, specialties, NAICS/SIC descriptions and Crunchbase/G2 categories |
| NAICS code — include / exclude | List | e.g. 541511 |
| SIC code — include / exclude | List | e.g. 7372 |
| Web traffic | Min / max | Monthly site visits |
| Ad spend | Min / max (USD) | Monthly Google Ads spend |
| Total funding | Min / max (USD) | Total raised |
| Last funding amount | Min / max (USD) | Size of the latest round |
| Last funding year | Min / max | Year of the latest round |
| Last funding type — include / exclude | List | Pre seed, Seed, Series A–J, Angel, Grant, Private equity, Debt financing, Convertible note, Corporate round, Post IPO equity and more |
| Lead investors — include / exclude | List | Investor name keywords — Sequoia |
| Founded year | Min / max | Year founded |
| HQ city — include / exclude | List | Keywords in the HQ city |
| HQ state — include / exclude | List | Keywords in the HQ state or province |
| HQ country | List | ISO country codes — US, GB, AU |
| HQ continent | List | Africa, Antarctica, Asia, Europe, North America, Oceania, South America |
| HQ sales region | List | NORAM, LATAM, EMEA, APAC |
How to use it
- Open the table and click Table → Import → Find Companies
- Set industry or keywords — what the company does
- Narrow on size — employee range, revenue — and HQ location
- Add a signal if you have one — funding year, web traffic, ad spend
- Exclude what you never sell to (Staffing and Recruiting, agencies), set a result count, run it, map the fields, and click Create Rows
Schedule Auto Import
Turn on Enable Auto Import to re-run the search on a frequency with the same filters and column mapping — useful with a rolling filter such as last funding year. Every scheduled run counts against the monthly allowance, so cap the result count first and dedupe on domain. Schedules live under Manage scheduled imports.
Common use cases
- Size and build a TAM. Industry + headcount + HQ country is the core account list.
- Recently funded accounts. Last funding year and type surface companies with new budget.
- Spend-based targeting. Ad spend and web traffic ranges separate companies investing in growth from ones that are not.
- Investor portfolios. Lead investor filters pull every company a fund backed.
Best practices
- Keywords are broad; industry is exact — combine a keyword include with an industry exclude to cut noise
- Prefer employee range brackets; use exact employee count only when a bracket boundary matters
- Start with a small result count, check the columns, then scale — every row counts toward the monthly limit
- Dedupe on domain before enriching
- Follow with Find People Within Company to reach the buying committee
Where to next
- Find People — search the people directly, with the same company filters
- Find People Within Company — turn account rows into contacts
find_companies— run a company search from an AI client over MCP- Source companies at scale — the full TAM workflow