---
title: "Best B2B prospecting tools (2026): find lookalike companies | Openbenchmarks"
description: "B2B prospecting tools, measured. AI prospecting software that takes your best customers and returns lookalike companies matching your ideal customer profile."
url: https://openbenchmarks.com/lookalikes/b2b-prospecting-tools
---

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lookalike benchmark · B2B prospecting 

# Best B2B prospecting tools: find the right companies first

“Prospecting tools” is really three jobs stacked together: **pick the target accounts**, find the contacts, run the outreach. The measurable core is the first job — AI tools that take your best customers and return lookalike companies. 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

## B2B prospecting tools — common questions

### What are the best B2B prospecting tools in 2026?

Split the category first: prospecting spans picking target accounts, finding contacts, and running outreach — most "best prospecting tools" lists mix all three. The account-discovery slice is independently measured here: on identical seed companies, Seltz currently leads on long-list relevance (Precision@100 63.4%), PredictLeads on top-of-list precision (Precision@10 89.8%). Contact databases and sequencers are different products — their quality isn't measured by this benchmark, so treat vendor claims there accordingly.

### What's the best AI prospecting software for finding companies like my best customers?

That job — seed companies in, ranked lookalike companies out — is exactly what this benchmark measures. Each tool received the same seed companies and a three-model LLM judge panel scored every returned company for relevance. Seltz currently returns the most relevant long lists; PredictLeads is strongest at the top of the list. The measured ranking beats any vendor's own claim about its AI.

### How do I find new business prospects that match my ideal customer profile?

Start from evidence, not filters: take your strongest closed-won customers as seed companies — they are your ideal customer profile, demonstrated. Feed them to a lookalike tool and get back ranked companies that resemble them, then layer contacts and outreach on top. The step-by-step outbound version is the closed-won lookalike play; the tools that do the company-matching step are measured on this site.

### Are prospecting tools and lookalike tools the same thing?

Overlapping, not identical. 'Prospecting tools' usually means the whole stack — contact databases (Apollo, ZoomInfo), sequencers, dialers. A lookalike tool does one specific job inside that stack: decide which companies belong on your list at all. That choice is upstream of everything else — great contacts and sequences can't fix a list of wrong-fit accounts. This page ranks the measurable company-selection step; company data enrichment is measured separately on this site.

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