Getting Started

How to Find Similar Companies for B2B Prospecting

Start from one account you already win with, match it on business model, size, revenue, funding and growth — not just keywords — and turn a whole list of lookalike companies into ranked prospects.

Updated: July 202610 min read

To find companies similar to a given company, start with one account that fits you well and describe what actually makes it a match — its business model, industry, size, revenue, funding stage, and growth signals — then look for other companies that share that profile, not just the same industry label. You can get a rough list free (Google's related: operator, the "similar companies" panels on LinkedIn and Crunchbase, or an industry-plus-size filter), but those are keyword- and category-based and don't rank anything. A company lookalike tool does it properly: it takes your seed account and returns every match ranked by a real similarity score.

Below is the full method — the free routes and where they break, what "similar" really means, and how to go from a list of companies to a list of decision-makers with verified emails you can actually send to.

How Do You Find Companies Similar to a Given Company?

You find similar companies by working backwards from a company you already know is a good fit. That seed can be a current customer you'd love ten more of, a competitor's marquee logo, or an ideal-customer-profile (ICP) archetype. The job is to define what makes it similar in terms that predict a sale — then find every other company that carries the same profile.

The lookalike workflow in three moves

  • 1. Seed — pick one company that represents who you want more of.
  • 2. Match — surface companies that share its DNA (model, size, revenue, funding, growth), ranked by how close they are.
  • 3. Activate — pull the decision-makers at each matched account, with verified emails, and start outreach.

The rest of this guide is just doing each move well — and knowing why the free shortcuts stall at move two.

The reason "similar" is harder than it looks: the obvious signal — industry — is also the weakest one on its own. Two companies can share an industry code and have nothing else in common, while your best two customers might sit in different verticals but run the identical business model. Getting this right means weighing several signals together, which is exactly where category filters fall down and lookalike tools earn their keep.

What Are the Free Ways to Find Similar Companies?

There are three free routes worth knowing. Each gets you a starting list fast, and each has the same two limits — it matches on a single dimension, and it doesn't rank the results.

1

Google's related: operator

Search related:stripe.com and Google returns sites it considers similar to that domain. It's instant and free, but it's based on how the web links and clusters pages — so it's great for finding obvious competitors and weak at surfacing a smaller company that fits your model but has little search footprint.

2

LinkedIn & Crunchbase "similar companies" panels

Both show a "similar companies" or "people also viewed" block on a company profile. Useful for a handful of adjacent names, but the list is short, editorially fuzzy, and capped — you can't turn it into a few hundred ranked accounts for a real prospecting campaign.

3

Industry + size filters in a database

Filter a company database to "SaaS, 50–200 employees, US" and you approximate a peer set. This is the most controllable free-ish route, but it only matches the fields you filter on — it can't tell that a company outside your chosen industry code runs the exact business model you sell to.

Where all three break

Every free route matches on one axis — links, editorial adjacency, or a filter field — and hands you an unranked pile. You still have to read each company and decide how close it really is, which is fine for ten accounts and unworkable for a few hundred. Ranking by overall similarity is the piece none of them do.

What Makes Two Companies "Similar"?

Two companies are similar, in a way that predicts whether they'll buy from you, when they share the whole profile — not one field. A shared industry label is the seductive shortcut and the one that produces the most false positives. These are the signals that actually matter:

Business model

How the company actually makes money — SaaS vs. services vs. marketplace vs. e-commerce. Two companies with the same model tend to have the same problems, which is why this predicts fit better than industry alone.

Industry & sub-vertical

Still useful — but as one signal among several, and read at the sub-vertical level ("fintech payments", not just "software") rather than a broad category code.

Size & revenue

Headcount and revenue set the budget, the buying process, and the number of stakeholders. A 12-person agency and a 5,000-person enterprise can carry the same industry code and buy nothing alike.

Funding & growth signals

Funding stage and growth signals — hiring, expansion, new markets — indicate both the budget to buy and the timing to care. A company scaling fast is a different prospect from a flat one of the same size.

The hard part is weighing these together. That's what separates matching by meaning from matching by keyword: a good lookalike engine reads the whole profile and scores overall closeness, so a company in a slightly different vertical that runs your exact model still ranks high — and a same-industry name-twin that's the wrong size ranks low.

What Are B2B Prospecting Tools for Lookalike Companies?

B2B prospecting tools for lookalike companies take a seed account and return a ranked list of companies that share its DNA — automating the "weigh every signal and sort by closeness" step the free routes can't do. Enrichley's Company Lookalike is built for exactly this: drop in one account you already win with, and it surfaces the lookalike companies that match its profile, ranked by a real similarity score.

Matches by meaning, not keywords

It weighs the whole profile — business model, industry, size, revenue, funding, and growth signals — and ranks matches by similarity, so you don't chase name-twins or false positives the way a plain industry filter makes you.

Broad-to-targeted control

Slide from a broad market view to a tight shortlist, and filter by size, revenue, funding, or location to dial in precision — so the same seed can produce a wide TAM map or a narrow, high-fit prospect list.

Bring your own accounts

Prospect straight from the lookalike results, or bring your own target accounts in by CSV or HubSpot import and work them in the same place — one workflow, companies and people together.

Turn one winning account into a ranked list

Company Lookalike takes your best customer as the seed and surfaces the companies most like it — ranked by a real similarity score, ready for prospecting, TAM sizing, and ABM.

Try Company Lookalike

How Do You Turn Similar Companies Into Prospects?

A list of similar companies isn't a prospect list until it has people and verified emails. Once Company Lookalike has ranked the accounts, the next two moves turn them into outreach you can actually send.

Pull the decision-makers

People Search covers 500M+ professionals and filters in real time by title, seniority, department, and company — so at every matched account you can narrow to the exact buyers you need, each returned with a verified work email.

Verify before you send

Guessed addresses hard-bounce, and bounce rates above 2% flag you as a spammer. Enrichley returns only verified emails — 98% accuracy, catch-all included — so a lookalike campaign lands instead of torching your domain reputation.

The payoff is that one seed account feeds several go-to-market jobs. The same ranked lookalike list you use for outreach also sizes your real TAM, scores and routes new accounts by how closely they match your winners, builds recruiting source lists, and becomes an ABM audience you push into ad and outreach campaigns.

Already know the exact people you want? Our guide on how to find a business email by name covers the other direction — going from a named person to their verified work email — and the best email finder tools roundup compares the options on whether they return verified rather than guessed emails.

Frequently Asked Questions

How do you find companies similar to a given company?
Start with one company you want more of and describe what actually makes it a fit — its business model, industry, size, revenue, funding stage, and growth signals. Then find other companies that share that profile, not just the same industry label. Free routes (Google's related: operator, LinkedIn and Crunchbase "similar" panels, industry-plus-size filters) get you a rough list; a company lookalike tool does it properly by ranking every match on a real similarity score so you don't chase name-twins or false positives.
What are the free ways to find similar companies?
There are three quick free routes. First, Google's related: operator (related:stripe.com) surfaces sites Google considers similar. Second, LinkedIn and Crunchbase both show a "similar companies" panel on a company profile. Third, a database with industry-plus-size filters (say SaaS, 50–200 employees) approximates a peer set. All three are keyword- or category-based, so they miss companies that fit your model but sit under a different label, and they don't rank matches — you still sort the list by hand.
What makes two companies similar in lookalike prospecting?
Similarity that predicts a sale is about the whole profile, not one field. The signals that matter are business model (how they make money), industry and sub-vertical, company size (headcount), revenue, funding stage, and growth signals like hiring or expansion. A shared industry label alone is weak — a 12-person agency and a 5,000-person enterprise can carry the same SIC code and buy nothing alike. Weighing all the signals together is what separates a true lookalike from a name-twin.
What is a company lookalike tool?
A company lookalike tool takes a company you already win with as the seed and surfaces other companies that share its DNA, ranked by a real similarity score. Enrichley's Company Lookalike matches by meaning rather than keywords — it weighs the whole profile (business model, industry, size, revenue, funding, and growth signals) — and lets you slide from broad to targeted and filter by size, revenue, funding, or location. That's the difference between a lookalike engine and a plain industry filter.
How do you find the right contacts at similar companies?
A list of companies isn't a prospect list until you have people. Feed the matched accounts into a people search that covers 500M+ professionals and filter by title, seniority, department, and company to pull the actual decision-makers — each returned with a verified work email. Verifying the email before you send is what keeps a lookalike campaign from bouncing, because guessed addresses hard-bounce and hurt your sender reputation.
Is finding similar companies useful for more than prospecting?
Yes. The same lookalike list powers TAM and market sizing (how many companies actually match your ICP), account scoring and routing (rank inbound and new accounts by how closely they resemble your winners, then send the best to the right rep), recruiting source lists, and ABM audiences you feed into ad and outreach campaigns. One seed account, several go-to-market jobs.

Find Your Next Best Customers

Seed Company Lookalike with one account you already win with, get a ranked list of the companies most like it, then pull the decision-makers and their verified emails with People Search — companies and people in one enriched workflow.