---
title: "Find similar companies (2026): tools that return lookalikes | Openbenchmarks"
description: "Find similar companies: competitor research vs finding leads like your customers. Which tools do each job, with independently benchmarked lookalike results."
url: https://openbenchmarks.com/lookalikes/find-similar-companies
---

[](https://openbenchmarks.com/) 

[← lookalike benchmark](https://openbenchmarks.com/lookalikes) 

[benchmarks](https://openbenchmarks.com/) / [lookalikes](https://openbenchmarks.com/lookalikes) / find similar companies 

lookalike benchmark · similar companies 

# Find similar companies

“Find companies like X” is two different jobs. **Competitor research** — who competes with a specific company — is a market-mapping task (not measured here). **Lookalike search** — seeds in, similar companies out — is independently measured here. This is an independent benchmark of company lookalike / similar-companies APIs — Ocean.io, Exa, Parallel, Seltz, PredictLeads, Extruct, CUFinder, Discolike, and ZoomInfo — ranked on how relevant the companies each one returns actually are, across 48 B2B seed companies.

\[01\] evidence

## Benchmark evidence and per-seed audit trail

Same seed companies, same judge panel, Precision@10 and Precision@100 where each endpoint supports that depth — plus the per-seed matrix so you can inspect how each vendor behaved on each company.

long list Precision@100: how relevant a vendor stays a hundred companies deep. The metric for lists that feed automated sequences. 3 vendors cannot appear here: their endpoint returns fewer than 100 results. 

__Long-list lookalike quality: aggregate Precision@100 by company lookalike API vendor__
| Rank | Vendor | Precision@100 | Avg latency | Relevant / $1 at 100 |
| --- | --- | --- | --- | --- |
| 1 | [Seltz](https://seltz.ai "Open Seltz in a new tab") | 63.4% | 4,835 ms | 12,683 |
| 2 | [Extruct](https://www.extruct.ai "Open Extruct in a new tab") | 61.1% | 2,361 ms | 624 |
| 3 | [Ocean.io](https://www.ocean.io "Open Ocean.io in a new tab") | 59.5% | 2,444 ms | 37 |
| 4 | [Parallel](https://parallel.ai "Open Parallel in a new tab") | 56.9% | 2,680 ms | 11,383 |
| 5 | [Exa](https://exa.ai "Open Exa in a new tab") | 48.6% | 3,014 ms | 501 |
| 6 | [Discolike](https://discolike.com "Open Discolike in a new tab") | 34.6% | 1,164 ms | 66 |

short list Precision@10: how relevant the top of the list is. The metric that matters when a person works the results by hand and only the first few rows get touched. Every measured vendor appears here, and the only question asked of them is whether the companies are right. 

__Short-list lookalike quality: aggregate Precision@10 by company lookalike API vendor__
| Rank | Vendor | Precision@10 |
| --- | --- | --- |
| 1 | [PredictLeads](https://predictleads.com "Open PredictLeads in a new tab") | 89.8% |
| 2 | [Seltz](https://seltz.ai "Open Seltz in a new tab") | 84.4% |
| 3 | [Exa](https://exa.ai "Open Exa in a new tab") | 80.8% |
| 4 | [Extruct](https://www.extruct.ai "Open Extruct in a new tab") | 75.0% |
| 5 | [Ocean.io](https://www.ocean.io "Open Ocean.io in a new tab") | 74.3% |
| 6 | [Parallel](https://parallel.ai "Open Parallel in a new tab") | 69.2% |
| 7 | [ZoomInfo](https://gtm.ai "Open ZoomInfo in a new tab") | 67.1% |
| 8 | [Discolike](https://discolike.com "Open Discolike in a new tab") | 41.9% |
| 9 | [CUFinder](https://cufinder.io "Open CUFinder in a new tab") | 38.9% |

benchmarks/lookalike/lookalike-2026-q3 48 examples · 9 vendors 

audit view cell = Precision@100; the small label shows P@10 N/Avendor not yet run (or returned fewer than K results) click any scored cell to view the companies that vendor returned 

| # | Company type | [ Ocean.io ](https://www.ocean.io "Open Ocean.io in a new tab") | [ Exa ](https://exa.ai "Open Exa in a new tab") | [ Parallel ](https://parallel.ai "Open Parallel in a new tab") | [ Seltz ](https://seltz.ai "Open Seltz in a new tab") | [ PredictLeads ](https://predictleads.com "Open PredictLeads in a new tab") | [ Extruct ](https://www.extruct.ai "Open Extruct in a new tab") | [ CUFinder ](https://cufinder.io "Open CUFinder in a new tab") | [ Discolike ](https://discolike.com "Open Discolike in a new tab") | [ ZoomInfo ](https://gtm.ai "Open ZoomInfo in a new tab") |
| -- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 01 | [Cloud observability and monitoring platforms that offer any of application performance monitoring, log management, security monitoring, or synthetic monitoring Devtools seed example Datadog datadoghq.com ](https://datadoghq.com "Open Datadog in a new tab") | 68% P10 100% view | 69% P10 100% view | 93% P10 100% view | 63% P10 100% view | N/A P10 100% view | 81% P10 100% view | N/A P10 10% view | 33% P10 60% view | N/A P10 50% view |
| 02 | [Restaurant point-of-sale platforms that offer any of payments, online ordering, payroll, or inventory management Hospitality seed example Toast toasttab.com ](https://toasttab.com "Open Toast in a new tab") | 89% P10 100% view | 47% P10 60% view | 45% P10 80% view | 68% P10 100% view | N/A P10 100% view | 92% P10 100% view | N/A P10 20% view | 81% P10 50% view | N/A P10 70% view |
| 03 | [Plumbing and drain services companies that offer any of plumbing, drain cleaning, water cleanup, or home services Home Services SaaS / Chains seed example Roto-Rooter rotorooter.com ](https://rotorooter.com "Open Roto-Rooter in a new tab") | 90% P10 50% view | 86% P10 100% view | 95% P10 70% view | 91% P10 100% view | N/A P10 100% view | 90% P10 80% view | N/A P10 60% view | 86% P10 70% view | N/A P10 70% view |
| 04 | [Construction management software that offer any of project management, financials, quality, safety, or contractors B2B SaaS seed example Procore procore.com ](https://procore.com "Open Procore in a new tab") | 90% P10 100% view | 62% P10 100% view | 83% P10 90% view | 88% P10 100% view | N/A P10 100% view | 79% P10 90% view | N/A P10 60% view | 67% P10 70% view | N/A P10 90% view |
| 05 | [On-demand consumer super-apps that offer any of ride-hailing, delivery, payments, financial services, or merchant services Logistics seed example Grab grab.com ](https://grab.com "Open Grab in a new tab") | 37% P10 40% view | 47% P10 100% view | 35% P10 70% view | 19% P10 90% view | N/A P10 100% view | 71% P10 80% view | N/A P10 20% view | 33% P10 30% view | N/A P10 50% view |

Full routing by workflow, latency, cost, and methodology: [the lookalike benchmark →](https://openbenchmarks.com/lookalikes) 

\[02\] faq

## Finding similar companies — common questions

### Is there an online tool to find companies alike?

Yes — and the right one depends on why you want the list. If you're researching who competes with a specific company, competitive-intelligence tools do that (not measured here). If you have a few companies — say your best customers — and want more that do similar work, that's a lookalike / similar-companies tool, and those are independently measured on this site: Seltz currently leads on long-list relevance and PredictLeads on top-of-list precision, on identical seed companies.

### How do I find companies similar to my customers for lead generation?

Take 5–10 of your best customers as seed companies and feed them to a lookalike tool — it returns ranked companies that do similar work, which become your lead list. Basic web searches stop producing new names quickly; seed-based lookalike search is built exactly for that wall. Clean seeds matter more than many seeds: strong, fast-closing customers beat a large messy list.

### What's the difference between finding competitors and finding lookalikes?

Competitor research asks 'who competes with company X?' — the output is a market map, and tools are judged on completeness of that map. Lookalike search asks 'which companies resemble these seeds?' — the output is a prospect list, judged on how many returned companies are genuinely relevant. This benchmark measures the second job: every returned company is scored for relevance by a three-model LLM judge panel on identical seeds.

### Which similar-companies tool is the most accurate?

On measured data: over a long list, Seltz (Precision@100 63.4%); for the first ten results, PredictLeads (Precision@10 89.8%). Companies like these are also findable per-vendor — every provider's per-seed results are public on the benchmark.

Openbenchmarks [← lookalike benchmark](https://openbenchmarks.com/lookalikes) [closed-won lookalike play](https://openbenchmarks.com/lookalikes/closed-won-lookalike-play) [source ↗](https://github.com/openbenchmarks-labs/lookalikes) © 2026 Openbenchmarks