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 — Exa, Ocean.io, Parallel, PredictLeads, Extruct, CUFinder, and Discolike — 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 listPrecision@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	Extruct	61.1%	2,361 ms	624
2	Ocean.io	59.5%	2,444 ms	37
3	Parallel	56.9%	2,680 ms	11,383
4	Exa	48.6%	3,014 ms	501
5	Discolike	34.6%	1,164 ms	66

short listPrecision@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	89.8%
2	Exa	80.8%
3	Extruct	75.0%
4	Ocean.io	74.3%
5	Parallel	69.2%
6	ZoomInfo	67.1%
7	Discolike	41.9%
8	CUFinder	38.9%

benchmarks/lookalike/lookalike-2026-q348 examples · 8 vendors

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

#	Company type	Discolike
01	Corporate spend management platforms for companies that offer any of corporate cards, expense management, travel booking, or bill payFintechseed exampleBrexbrex.com
02	Cloud observability and monitoring platforms that offer any of application performance monitoring, log management, security monitoring, or synthetic monitoringDevtoolsseed exampleDatadogdatadoghq.com
03	Global logistics and transportation companies that offer any of parcel delivery, freight, shipping, or supply-chain servicesLogisticsseed exampleFedExfedex.com	N/A
04	Global hospitality companies that offer any of hotel, lodging, travel, or guest loyaltyHospitalityseed exampleMarriottmarriott.com
05	Commercial real estate services and investment firms that offer any of property leasing, facilities, valuation, or asset managementReal Estateseed exampleCBREcbre.com

Full routing by workflow, latency, cost, and methodology: the lookalike benchmark →

[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: Extruct 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, Extruct (Precision@100 61.1%); 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.