Discolike

DiscoLike is a company-level prospecting tool that helps sales and marketing teams identify high-fit target accounts using natural language search, lookalike domain matching, and exact phrase detection across a database of 65 million business domains.

What separates it from tools like Apollo or ZoomInfo is that it scans actual website content rather than relying on scraped LinkedIn data, which means it surfaces companies that traditional databases consistently miss, especially in niche or international verticals.

It is built for SDRs, agency owners, and GTM operators who need accurate target account lists at scale, with plans starting at $99 per month.

Top Features

• Natural language ICP search across 65M+ business domains
• Lookalike domain search to find companies similar to your best clients
• Exact phrase and word matching against homepage text for intent targeting
• Validate, enrich, and rank external lists by uploading existing data
• Coverage of 98% of companies globally across 48 languages
• Full digital footprint data including subdomains, vendors, and tech stack
• ICP segmentation that groups your client list into labeled company profiles
• Conditional API access on higher-tier plans for automated data workflows

Pricing

DiscoLike offers five paid plans with no free tier, though a free demo is available.

The Starter plan is $99 per month per user and includes access to 60M profiles, basic targeting, email support, query costs of $0.18, and record costs of $3.50 per 1,000 records.

The Pro plan is $199 per month per user and adds lookalike domain search, advanced filtering, priority email support, and reduces query costs to $0.15 with record costs of $3.00.

The Team plan is $399 per month per team, the Company plan is $799 per month per workspace, and the Enterprise plan is $1,599 per month per workspace, each adding features like ICP identification, tech stack targeting, full firmographic data, dedicated account management, and expert-led assistance, with query costs dropping as low as $0.08 at the Enterprise tier.

How DiscoLike Actually Works in Practice

In practice, you start by either describing your ideal company profile in plain language or dropping in four to five sample domains from your best existing clients.

DiscoLike generates an ICP description from those inputs and then compares it against website text and firmographic profiles from its 65 million domain database.

You can layer on filters like country, company size, and specific words or phrases that must appear on the homepage, then iterate on results until the list matches what you are actually looking for.

The key thing to know here is that this is not a contact database tool. DiscoLike operates at the company level, giving you a ranked list of target accounts, not individual email addresses.

You would pair it with a contact enrichment tool to get to the people inside those accounts.

What Makes DiscoLike Different From Apollo, ZoomInfo, and Clay

Most prospecting databases, including Apollo, ZoomInfo, and LinkedIn Sales Navigator, pull their company descriptions from LinkedIn profile data, which is self-reported, often outdated, and limited to companies with active LinkedIn presences.

DiscoLike scans actual company websites, which means it picks up small, private, and international businesses that never bothered to build out a LinkedIn company page.

According to their own data, this gives them roughly three times the coverage of LinkedIn-based tools and more than double any direct competitor.

The 98% accuracy claim is validated through SSL certificate checks, which removes parked, dead, and redirected domains from results before you ever see them.

What this means for your outreach is that you are working from a cleaner, more complete universe of potential accounts, particularly if you sell into verticals where your buyers are not active on LinkedIn.

Who Is Actually Using DiscoLike

DiscoLike is trusted by 200 plus GTM teams according to their website, including Cold IQ, Leadbird.io, Blueprint, StackOptimise, Relevance, Outboundless, and SalesTech Scout.

The Cold IQ case study specifically mentions discovering 15,000 new contacts that were missed by traditional tools, which is a meaningful number for any outbound team trying to expand its addressable market.

Users like Dan Rosenthal of Workflows.io report using it to map out 2 million plus companies across 15 different B2B clients, including a unicorn-stage company.

This is not a tool for solo SDRs doing light prospecting. The credit-based pricing model and the complexity rating of Advanced from ColdIQ suggest this is best suited for teams that already have a structured GTM process and know how to use ICP data operationally.

DiscoLike and Your GTM Stack

DiscoLike is designed to sit at the top of your prospecting workflow, before you enrich contacts or write a single email.

It does not replace your outreach tool or your contact database. It feeds them.

Practically speaking, you would use DiscoLike to build your target account list, then pass those domains into a tool like Clay or a contact database to pull decision-maker emails, and then route those into your sending platform.

Several users explicitly mention running it alongside Clay, and the conditional API access on Company and Enterprise plans makes automated handoffs between tools more realistic for technical teams.

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