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Tools

Landbase has a GTM-focused dataset and an AI agent that interprets natural language and returns structured data outputs. Behind that agent is a set of tools — discrete capabilities that each do one specific thing.Think of it like a toolkit. A hammer drives nails. A saw cuts wood. A level checks alignment. Each tool is useful on its own, but you don’t build a table with just a hammer. You build a table by using the right tools in the right sequence — that sequence is a workflow.
  • A tool is a single capability. Search for companies. Expand a job title to similar titles. Qualify a list of leads against custom criteria. Each tool takes an input, does one thing, and produces an output.
  • A workflow is a sequence of tools chained together to accomplish a real task. Build a TAM. Run an outbound campaign. Clean up a CRM. The more sophisticated the task, the more tools the workflow uses.
Some tools are simple and fast — look up a company profile in under a second. Others are powerful and complex — qualify 1,000 leads with AI evaluation and live web research per record. All of them are building blocks that the agent selects and sequences based on what you ask for.

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Why tools matter

When the agent shows which tools it’s using and why, you can audit the logic. “The agent called Expand Titles on ‘VP of Engineering’ and found 23 similar titles” is transparent in a way that a black-box result is not. Tools make the agent’s reasoning visible.And because tools are composable, you’re not limited to pre-built workflows. If you understand what Expand Titles and Search by Meaning do, you can combine them in ways that aren’t templated yet. Tools turn the product from a fixed set of features into a platform.

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Tool library

ToolWhat it does
Search CompaniesFind companies by industry, size, revenue, location, tech stack, funding, and more
Search ContactsFind people by title, department, management level, location, and tenure
Build AudienceBuild targeted lists combining company and contact filters with semantic search, lookalikes, and AI qualification
Expand TitlesBroaden title targeting by finding semantically similar job titles
Look Up CompanyPull up a company’s full profile by domain, LinkedIn URL, or ID
Find CompanyFind a company when you only have partial info — a name, an email, a rough location
Find PersonFind a person’s professional profile by name, email, LinkedIn URL, or company
Research ProductsSee what a company sells — products and services extracted from their website and LinkedIn
Qualify LeadsDefine custom yes/no criteria in plain language; every record is evaluated with cited justification and optional web research
Search by MeaningDescribe what you’re looking for and find companies that match the concept — not just the keywords
Expand LookalikesProvide seed companies and get a scored lookalike audience at scale (up to 20K)
Scout LookalikesQuick exploration: “who looks like these accounts?” — ranked results from pre-computed similarity (default 25)
Expand IndustriesBroaden your targeting by finding industry clusters adjacent to the ones you’re already in
Discover Related IndustriesIdentify verticals that sit next to your target industry — markets you might not have considered
Analyze PatternsSurface what a set of accounts have in common — industries, keywords, tech, size patterns
Transform DataRun custom SQL transformations — joins, aggregations, derived fields — across any Landbase dataset
Search the WebResearch companies, validate claims, or find information that’s not in the structured data
Read WebpagePoint at any URL and extract clean, structured content — company sites, job boards, landing pages
Find Local BusinessesSearch for brick-and-mortar locations, branches, or local service providers by area and category

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How tools compose into workflows

Individual tools become powerful when chained together. Here are common patterns:TAM mapping — Start from your best customers and map your total addressable market:
  1. Scout Lookalikes to explore companies similar to your best accounts
  2. Analyze Patterns to surface what those companies have in common
  3. Expand Lookalikes to scale to your full TAM (up to 20K companies)
  4. Expand Titles to broaden persona titles and catch all buying roles
  5. Build Audience to combine companies and titles into a full contact list
  6. Qualify Leads to AI-validate each record against custom criteria
Seed expansion — Start from a few example companies and build a full audience:
  1. Scout Lookalikes to preview 25 similar companies and validate the pattern
  2. Analyze Patterns to understand what the seeds have in common
  3. Expand Lookalikes to scale to production (up to 20K scored results)
  4. Build Audience to layer on firmographic and contact filters
Enrich uploaded data — Take a messy CSV or CRM export and match it against Landbase’s dataset, append enrichment fields, and qualify the results.Local business discovery — Find and qualify brick-and-mortar businesses in a specific area using Find Local Businesses, then evaluate results with Qualify Leads.The agent handles the sequencing automatically based on what you ask for. Advanced users can also invoke tools directly to build custom workflows.