Comparison
DiscoLike vs Landbase
Both put GTM data in front of the agent in your terminal. Landbase pairs its company database with contact data routed through 20+ providers, driven from a CLI. DiscoLike is a company discovery and prospecting platform built on a directory of 82M+ business websites, with research, contacts, and email verification, reached through the app, MCP, API, SDK, or CLI. Here is where each one fits.
TL;DR
Landbase presents GTM data inside AI tools: install its CLI, paste it into Claude Code or Codex, and search, enrich, and qualify from the shell. It starts with 1,000 free credits, and company search and lookalike expansion cost nothing. Contacts come through 20+ providers ("Powered by BetterContact" on its pricing page), and you pay only for verified hits.
DiscoLike brings its own company directory and the full prospecting workflow to every access method. The directory covers 82M+ business websites and returns every company matching a territory, one of close to 300 SMB sub-industries, a plain-English ICP, or an exact homepage phrase. Then it validates fit, researches each account with DiscoGen, finds contacts with contact search and ContaGen, and verifies emails with catch-all resolution. Access is an MCP server with 48 tools, a REST API, a Python SDK, a CLI, and the web app, on every plan.
Pick Landbase if your market is well covered by standard databases and you want free company search with pay-per-hit contacts. Pick DiscoLike if the hard part is finding every business in a local or specialist market, or your agents connect over MCP.
DiscoLike indexes more than 82 million companies: 3x LinkedIn's company coverage, 2x Google Maps coverage, 98% of businesses with a website, at 98.5% company-record accuracy.
At a Glance
DiscoLike and Landbase, side by side
 | Landbase | |
|---|---|---|
| Data source | Company directory built from 82M+ business websites: 3x LinkedIn company coverage, 2x Google Maps coverage | Company database (24M+ companies when reviewed in September 2026) and 3B+ contact records, with contacts routed through 20+ providers ("Powered by BetterContact") |
| Local and niche targeting | Geolocated companies with radius and area targeting, close to 300 SMB sub-industries, 98% of businesses with a website | No country, language, or SMB coverage figure published |
| Agent access | Remote MCP server (48 tools, OAuth 2.1), REST API, Python SDK, CLI, and web app on every plan. An agent can open the account with one POST | CLI installed from a one-line agent prompt for Claude Code or Codex. No MCP server shown on its site |
| Search | Every matching company by ICP sentence, lookalikes, exact homepage phrase, radius, and sub-industry, ranked by size or similarity. Free count before every run | Plain-English prompt translated into structured filters over its database. Search and lookalike expansion are free |
| Qualification and research | ICP fit validation and DiscoGen research per company on your own prompt and keys, with full homepage text as context | AI Qualification at about 0.2 credits per account; scoring and tiering on fit and signals |
| Contacts and email | Contact search on every match, ContaGen open-web discovery, email verification with catch-all resolution | Verified emails and mobiles through the provider waterfall; unverified results never charged |
| Pricing | $99-$1,599/mo, self-serve, monthly or annual. All of it converts to credits | 1,000 free credits, then $499/mo (15K credits), $1,999/mo (75K), $4,999/mo (200K), Enterprise custom |
| What a record costs | $0.08-$0.18 per query plus $1.50-$3.50 per 1,000 new company records; repeat record retrievals are free within 90 days, and older records are chargeable again. Contacts per contact record, phone included when found | Company search free. $0.025-$0.033 per verified email, $0.33 per verified mobile at the $499 tier. Misses never charged |
| Proof | ColdIQ added 2,000 qualified accounts and 15,000 contacts; PipeRich found 2.8M net-new domains | Gartner Cool Vendor 2025; $30M Series A |
Landbase details reviewed October 8, 2026 from the public product and pricing pages linked below. Spotted something outdated? and we'll fix it.
Where the data comes from, and why it decides coverage
Landbase lists 3B+ contact records, and its pricing page says contacts route through 20+ providers, "Powered by BetterContact". Paying only when a provider returns a verified hit is a fair model, and it is why Landbase can charge nothing for a miss. It also means the company universe is whatever those providers have profiled.
DiscoLike's directory is built from business websites. A company is in it because its website exists, and it is geolocated and classified from what the site says, at 98.5% company-record accuracy. That is how the directory reaches 82M+ business websites and 98% of businesses with a website, and it is where local businesses and specialist sub-industries come from.
When it matters: if your accounts are mid-market and enterprise companies with LinkedIn pages and clean job titles, both will have them. If your market is regional service businesses, specialist manufacturers, or anything outside the English-speaking web, the directory is the reason to look at DiscoLike.
Landbase routes contacts through a provider waterfall. DiscoLike starts from a directory of every business with a website and finds the people after.
Test it with cold-chain distributors
Give both tools the same brief: cold-chain distributors inside a defined geographic boundary, with your current customers as exclusions. Compare accepted companies, the evidence behind each qualification, verified contacts, usable results, and total spend.
In DiscoLike, the boundary is a radius or area filter, the niche is a sub-industry plus an ICP sentence, and the exclusion list keeps existing accounts out. ICP validation and DiscoGen check each distributor, contact search and ContaGen find the people, and email verification resolves catch-alls where it can and keeps the rest separate. A connector alone does not establish data quality; the accepted list does.
Agent access: what each one gives Claude Code
Landbase's homepage promise is GTM data inside Claude Code or Codex, delivered through the Landbase CLI: paste one install line into the agent and it installs everything. For a single person driving one agent on one machine, that is a perfectly good workflow.
DiscoLike's primary agent surface is a remote MCP server: 48 tools over streamable HTTP with OAuth 2.1, added to Claude Code, Claude Desktop, Codex, Cursor, VS Code, or Windsurf with one line. The same capabilities are also a REST API with an OpenAPI description, a Python SDK, and a CLI with JSON output, and a published skill teaches the agent which to use when.
When it matters: MCP is the protocol agent clients already speak, so there is nothing to install on the machine, the token lives with the client, and the tools show up with their own descriptions. An agent can also create the DiscoLike account with a single request, count results before it spends, and retrieve matching companies from the current directory in batches of up to 10,000 records, using saved results as exclusions for subsequent searches. The directory refreshes every 30 days, so repeat results can change. If your team runs agents on shared infrastructure, in a hosted client, or on more than one machine, that is the difference you will feel.
Both get data into the agent's terminal. DiscoLike also speaks the protocol the agent clients already support.
Signals: researched live versus picked from a catalog
Landbase scores and tiers accounts on fit and signals, and when reviewed in September 2026 it listed 1,500+ signal types from third-party feeds. A catalog is quick to filter, and a signal is as fresh as the feed's last refresh.
DiscoLike's DiscoGen is a research agent. Give it a prompt and a list of companies and it searches the open web for each one, with the full homepage text and firmographics as context, and writes back a structured answer with sources. "Posted an SDR role in the last 30 days", "opened a second warehouse", "mentions a competitor by name": the answer is observed at run time. It runs on your own model and search keys at provider list price, and the orchestration is free on every plan.
Landbase gives you signals to filter. DiscoGen goes and looks for the one you care about.
What it costs to build a list
Landbase's published pricing (landbase.com/pricing, October 2026) is credit-based and starts with 1,000 free credits. Company search and lookalike expansion cost nothing. You pay on delivery: one credit per verified email ($0.033 at the $499 tier, $0.025 at $4,999), ten per verified mobile, about 0.2 credits per AI Qualification, and nothing for an unverified result.
DiscoLike is $99-$1,599/mo across five plans, self-serve, monthly or annual with 20% off. The whole subscription converts to credits, spent as a per-query fee ($0.08-$0.18) plus $1.50-$3.50 per 1,000 new company records. Records retrieved in the last 90 days are free again, the count endpoint is free, and exclusion lists up to 250K domains keep customers and pipeline out of every result on every plan. Contacts are billed per record with phone included when found. See pricing.
The plain comparison: Landbase is cheaper to start and cheaper per company list, because the company list is free. DiscoLike charges for the directory lookup, because the complete, local, sub-industry-level company list is what you are buying.
Where Landbase genuinely wins
Free company search and lookalike expansion, a real free start, and pay-per-verified-hit contacts make Landbase cheap to try. When reviewed in September 2026 it also offered sending infrastructure, LinkedIn automation, a dialer, and a partner agency network, which DiscoLike does not. Teams that work a known account list and want execution from the same vendor will find that a coherent package.
Moving from Landbase, or running both
What transfers: any account list you built in Landbase exports as CSV. Load it into DiscoLike as a domain list to enrich, validate, and segment, or as an exclusion list so new lookups only return net-new accounts. If you use a CRM, DiscoLike pushes companies and contacts natively to HubSpot, Salesforce, and Pipedrive.
What does not transfer: sequences, sending domains, LinkedIn steps, and dialer sessions. DiscoLike does not send email. The common setup is DiscoLike for discovery through verified contacts, then your sequencer for the steps that follow.
First week on DiscoLike: pick one territory and sub-industry you know, count before you pull, validate ICP fit on the first 200, find and verify contacts, then scale. The free one-search demo on the website shows results on your own ICP before you pay.
Fit
Which one is right for you?
Choose DiscoLike if
- Your TAM includes companies no contact provider has profiled: local service businesses, specialist sub-industries, small private companies
- You want every matching company returned, ranked by size or similarity to your best customers
- You want signals checked live per company with your own question
- You want fit validation, contacts, and email verification with catch-all resolution in the same platform
- Your agents connect over MCP, run on shared infrastructure, or need to open the account and size a search without a person in the loop
Choose Landbase if
- You want company search and lookalike expansion at no charge
- You want to pay only per verified email or phone, never for a miss
- You want a provider waterfall managed for you
- Your agent workflow is one person running Claude Code or Codex through a CLI
FAQ
Common questions
Is DiscoLike a replacement for Landbase?
For company discovery, qualification, research, contacts, and email verification, it can be: DiscoLike's directory covers 82M+ business websites with local and sub-industry targeting, and the prospecting steps run on the same accounts. DiscoLike does not send email, automate LinkedIn, or dial, so keep your sequencer for outreach.
Does Landbase have an MCP server?
Its site does not show one as of October 2026. Landbase's agent integration is its CLI, which Claude Code or Codex can install from a one-line prompt. DiscoLike runs a remote MCP server at api.discolike.com/v1/mcp with 48 tools and OAuth 2.1, on every plan, alongside a REST API, Python SDK, and CLI.
Where does Landbase's data come from?
Landbase lists 3B+ contact records. Its pricing page says contacts come through 20+ providers, "Powered by BetterContact", a waterfall over third-party datasets. DiscoLike's company directory is built from business websites, with each company geolocated and classified by what its site says, so you can look up a territory or sub-industry directly.
Which is cheaper?
For a company list, Landbase: search and lookalike expansion are free, and 1,000 credits come free to start. DiscoLike charges $0.08-$0.18 per query plus $1.50-$3.50 per 1,000 new records from $99/mo. For contacts, Landbase is $0.025-$0.033 per verified email and ten times that per mobile; DiscoLike bills per contact record with phone included when found. Compare cost per accepted account and usable contact.
Can I use DiscoLike and Landbase together?
Yes. Build and qualify the local or niche account list in DiscoLike, with contacts and email verification on the same accounts, then export by CSV, API, or MCP into whatever runs your outreach. Both tools return JSON an agent can pass between them.
Explore research, signals & outreach or read the category buying guide.
Researching the wider market? Read best Landbase alternatives.
More comparisons
Testimonials
Hear it from our users
Jeff Rolf von den Baumen
Co-Founder & CEO, PipeRich
"DiscoLike is the primary account discovery source behind our campaigns, for many of our clients. Overall, my favorite data source, and we love leveraging it on behalf of our clients."
Dan Rosenthal
Co-Founder, Workflows.io
"Discolike helped me map out 2M+ companies for over 15 different B2B companies, including a unicorn. I've used all the big prospecting databases, and I can confidently say Discolike is the best tool for building target account lists."
Alex Fine
Co-Founder, Understory
"We've gone from struggling to find alternative lists outside traditional databases to basically having an untapped source of highly relevant companies. The way that Discolike operates on the back-end has been night and day vs their competitors."
Jordan Crawford
Founder, Blueprint
"DiscoLike has unprecedented coverage of companies on the Internet. Their core technology has been instrumental in some of my sneakiest campaigns."
Felix Frank
Founder, StackOptimise
"DiscoLike's segmentation is a powerful tool. It splits the client list into clearly labeled groups we can easily work with, saving us hours on ideal company profile identification."
Panos Sisamos
Co-Founder, Relevance.
"DiscoLike is right next to Clay in my tech-stack. Took me a couple of hours to get the hang of it, but now I can't live without it. Our process at Relevance relies heavily on accurate TAM mapping, and no one does it better than DiscoLike"
Patrick William Joyce
CEO, Outboundless
"DiscoLike's GTM toolbox is awesome for our daily grind, matching account names to domains like a breeze, segmenting our client list into spot-on company profiles, and modeling target accounts for each one to keep our B2B pipeline humming!"
Raouf Lemouchi
Founder, SalesTech Scout
"DiscoLike has a strong lookalike domain search, their wizard makes it incredibly easy to find high-quality prospects that match our ideal customer profile. Being able to automatically segment my targets is a really good feature."
Alex Vacca
Co-Founder, Cold IQ
"DiscoLike has quickly become a must-have in our campaign workflow. It's incredibly good at uncovering look-alike prospects and companies"
Nick Abraham
Founder, Leadbird.io
"Discolike has streamlined our list building process by allowing our team to create larger more accurate lists in half the time compared to regular data tools"
See what your current prospect list is missing
- 82M+ companies in our own index
- Local territories and precise sub-industries
- Self-serve from $99/mo, no demo required
- Accounts, research, contacts, and email verification