DiscoLike

What is DiscoLike?

DiscoLike is a B2B business intelligence platform that enables sales and marketing teams to identify their ideal target accounts from a database of over 65 million companies worldwide. Unlike traditional tools that recycle outdated LinkedIn data, DiscoLike directly analyzes the website content of companies using language models (LLMs) trained on over one billion pages.

Founded in 2022 in San Mateo, California by Daniel Yudelevich and George Rekouts, the platform covers 180 countries and 45 languages. DiscoLike positions itself as an alternative to traditional databases (ZoomInfo, Apollo, LinkedIn Sales Navigator) by offering claimed coverage 3 times superior to LinkedIn, with 98% accuracy validated by SSL certificates.

Key Features

Similar Domain Search (Lookalike)

DiscoLike's flagship feature. Simply provide 4-5 company domains that match your ideal customer, and the tool automatically identifies similar companies in its database. The algorithm analyzes website text content, technologies used, company size, and industry to calculate a precise similarity score.

Natural Language Search

DiscoLike lets you describe your ICP (Ideal Customer Profile) in plain language — for example "B2B marketing agencies with 10-50 employees in Europe using HubSpot". The platform's LLM models translate this description into a structured query and return matching companies, ranked by relevance.

Exact Phrase Matching

For highly targeted use cases, DiscoLike allows you to search for specific phrases or keywords present on company websites. Ideal for identifying very specific niches that traditional filters don't cover.

List Enrichment and Validation

DiscoLike can ingest your existing lists (CSV files, CRM exports) to validate, enrich, and segment them. The tool matches company names with their domains, detects duplicates and closed companies, and adds firmographic data: size, location, technologies used, subsidiary relationships.

Intelligent ICP Segmentation

From your list of existing customers, DiscoLike automatically identifies segments and typical profiles. The tool clusters your accounts with clear labeling, allowing you to understand which types of companies serve you best — and find others like them.

Integrations

DiscoLike offers a documented REST API and integrates into existing GTM workflows:

• Complete REST API to automate account discovery and enrichment
• Integration with Clay to enrich prospecting workflows
• Compatible with major CRMs via CSV export or API connection
• Data feeds available in daily, weekly, or monthly flows
• Partnerships with 15+ GTM platforms including Affinity, HG Insights, and others

Pricing

DiscoLike operates on a monthly subscription model with included credits. The entire subscription price is converted into credits usable for queries and records. All plans include unlimited users.

• Starter — $90/month: queries at $0.18, records at $3.50/1000, 20,000 contact exclusions, email support
• Pro — $183/month: queries at $0.15, records at $3/1000, 30,000 company exclusions, 60,000 contacts, email support
• Team — $367/month: queries at $0.12, records at $2.50/1000, 60,000 company exclusions, priority email support
• Company — $735/month: queries at $0.10, records at $2/1000, 120,000 exclusions, dedicated account manager
• Enterprise — $1,470/month: queries at $0.08, records at $1.50/1000, 240,000 exclusions, dedicated account manager

Records already retrieved are cached and not rebilled. A free trial is available on request.

Strengths

• Massive coverage of 65 million companies across 180 countries, far beyond LinkedIn or ZoomInfo databases
• Analysis of actual website content — not recycled LinkedIn data that could be outdated
• Intuitive natural language search to describe your ICP without building complex filters
• Powerful Lookalike feature: providing just a few domains is enough to find thousands of similar prospects
• Unlimited users on all plans — no per-seat pricing
• High precision (98% claimed) thanks to SSL certificate validation and LLM analysis
• Automatic segmentation of customer lists to identify patterns invisible to the naked eye

Weaknesses

• Account-focused tool (companies), not individual contacts — you need a complementary tool to get emails and phone numbers
• Advanced learning curve: initial setup requires understanding the query and credit system well
• Complex pricing with a credit model for queries and records that can be hard to forecast
• Entry price of $90/month can be high for small teams, especially since credits consume quickly on large volumes
• No built-in social engagement or outreach features
• Integration ecosystem still limited compared to more established tools like Apollo or ZoomInfo

Our Take

DiscoLike occupies an interesting niche in the GTM ecosystem: discovering target accounts based on actual web content. Where most tools rely on standard firmographic filters (size, industry, location), DiscoLike digs into the actual content of websites to identify companies you would never find otherwise.

The tool is particularly relevant for ABM (Account-Based Marketing) teams targeting specific niches and who have exhausted traditional databases. The Lookalike feature is formidable: from 4-5 existing customers, the tool can identify thousands of similar prospects with a high confidence score.

However, DiscoLike is not an all-in-one tool. It excels at account discovery and enrichment, but you'll need complementary tools (Clay, Apollo, Lemlist) for the contact and outreach side. It's a specialist tool, ideal as a complement to an existing GTM stack.

Frequently Asked Questions

Is DiscoLike suitable for small businesses?

The $90/month Starter plan with unlimited users may work for small sales teams, provided you have sufficient prospecting volume to justify the subscription. For occasional needs, the free trial allows you to test before committing.

What's the difference between DiscoLike and LinkedIn Sales Navigator?

LinkedIn Sales Navigator filters existing LinkedIn profiles, while DiscoLike analyzes actual website content from 65 million companies. DiscoLike offers wider coverage (claimed 3x superior) and discovers companies absent from LinkedIn, but doesn't provide individual contact data.

Does DiscoLike replace Apollo or ZoomInfo?

No, DiscoLike is complementary. It excels at discovering new target accounts through web analysis and Lookalike, but doesn't provide contact details. The ideal approach is combining DiscoLike for discovery with Apollo or ZoomInfo for contact enrichment.