DiscoLike Review 2026

Last reviewed June 2026 by Théo Pascard

DiscoLike

TAM lists from real website content

Overview

DiscoLike builds account lists by searching the actual content of ~65M business websites instead of querying a structured firmographic database. You describe your ideal company in plain language, feed it lookalike domains, or match exact phrases that appear on homepages, and it returns ranked accounts. Because it reads what companies say about themselves, it surfaces niche, international, and privately held firms that LinkedIn-derived tools routinely miss. It is account-level only, so you pair it with a contact-enrichment layer to actually reach people.

Who it's for

→SDRs and AEs building niche or hard-to-find TAM lists
→Agencies assembling target account lists across many verticals
→GTM and RevOps operators who want account discovery decoupled from contacts
→Teams chasing international, private, or off-LinkedIn companies

Not for

Teams wanting ready-to-email contacts in a single tool · Reps who need verified emails and phone numbers out of the box · Buyers who prefer a large established vendor with a review track record · Workflows that depend on deep person-level filters (title, seniority, tenure)

Capabilities

Natural-language ICP search across business website content
Lookalike-domain search from your best existing customers
Exact-phrase matching against company homepages
Web-content signals: text, social links, mobile apps, vendors, location
Ranked account lists exportable via CSV and API
MCP server integration for use inside AI agents and workflows

Pricing

Tier	Price	Credits / mo	Notes
Starter	$99/mo	—	$79/mo billed annually; $99 in monthly search credits; NL ICP search, lookalike-domain, exact-phrase, API + MCP
Pro	$199/mo	—	$159/mo billed annually; adds client list segmentation and domain validation
Team	$399/mo	—	$319/mo billed annually; adds tech-stack targeting and company-to-domain matching
Company	$799/mo	—	$639/mo billed annually; adds subdomain targeting and expert query assistance
Enterprise	$1599/mo	—	$1,279/mo billed annually; corporate hierarchy mapping + commercial API. Credits spend on queries ($0.08–$0.18) + new records; cached results free 90 days

The honest take

Where it breaks

It hands you accounts, not contacts, so a contact-enrichment tool is mandatory to run real outreach. It is also a newer, single-vendor product with no verified third-party reviews yet, and credit-based pricing means heavy net-new record pulls can add up beyond the headline plan price.

The verdict

DiscoLike is a sharp, focused way to build account-level TAM lists by reading real website content, and it genuinely surfaces companies that LinkedIn-based tools overlook. Treat it as the discovery half of your stack and pair it with enrichment for contacts. Worth a trial for anyone building niche, international, or off-the-grid target lists.

FAQ

Does DiscoLike give me contact emails and phone numbers?

No. It returns companies and domains, not people. You enrich the accounts with a separate contact tool to get individual contacts.

How is this different from LinkedIn-based prospecting tools?

It searches what companies publish on their own websites rather than self-reported LinkedIn profiles, so it catches niche, international, and private firms that profile-based databases miss.

How much data does it cover?

DiscoLike reports roughly 65M business domains across 180+ countries and 48 languages, drawing on about 1 billion company pages.

How does pricing actually work?

Plans are monthly credit buckets. Credits are spent on queries (about $0.08–$0.18 per search) plus per-record fees for new data, with cached results free for 90 days.

Can I use it programmatically?

Yes. Every plan includes API access and an MCP server integration; commercial/customer-facing API use is gated to the Enterprise tier.

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