> ## Documentation Index > Fetch the complete documentation index at: https://www.landbase.com/docs/llms.txt > Use this file to discover all available pages before exploring further. # Advanced Audience Search > Define custom GTM signals in natural language and build highly targeted B2B audiences beyond predefined search filters. # Advanced Audience Search Define custom GTM signals in natural language and build highly targeted B2B audiences beyond predefined search filters. ## Go beyond predefined filters Traditional B2B search platforms limit you to attributes that already exist, such as industry, company size, job title, or location. Landbase Advanced Audience Search lets you define targeting signals that do not exist as predefined filters and compute them across connected B2B datasets. Instead of being limited to existing attributes, you can calculate custom metrics, identify patterns across employment histories, analyze changes over time, and combine information across companies, people, job postings, and uploaded datasets. This enables highly specific audience targeting without writing SQL or building your own data infrastructure. ## When to use Advanced Audience Search Use standard search when your criteria can be expressed using existing company or contact attributes, such as industry, location, employee count, job title, or funding stage. Use Advanced Audience Search when your request requires computing new attributes, comparing groups, analyzing historical changes, or combining information across datasets. | Example request | Recommended capability | | - | - | | Find US SaaS companies with 50–500 employees | Standard Search | | Find VPs of Sales at cybersecurity companies | Standard Search | | Find companies where security engineers represent less than 5% of engineering headcount | Advanced Audience Search | | Find companies whose AI/ML job-posting activity doubled in the last 30 days | Advanced Audience Search | | Find people who previously worked at Stripe and now lead sales teams | Advanced Audience Search | | Calculate engineering headcount by country across an uploaded list of accounts | Advanced Audience Search | Rule of thumb: If you are filtering on attributes that already exist, use standard search. If you are asking Landbase to calculate something new from the underlying data, use Advanced Audience Search. ## High-value search examples These are the kinds of searches that Advanced Audience Search is built for: * Find people who were founding sales hires at a previous startup and are now sales managers or directors at B2B SaaS companies in the US or Canada. * Find companies where the AE-to-SDR ratio is between 1.5 and 3.0 and the Manager-to-IC ratio in Sales is less than 0.15. * Find companies where hiring for AI or ML titles in the last 30 days is more than 2x the prior 30 days. * For an uploaded list of 1,500 accounts, count software engineers in North America and Western Europe, then flag accounts with more than 5. * Find CISOs at companies where Security headcount is under 2 but Engineering headcount is at least 200. ## The seven capability families | # | Capability | What it unlocks | Example | | - | - | - | - | | 1 | Career history match | Find people by what they have done, not just their current title. | Founding sales hires who now manage sales teams. | | 2 | Custom company signals | Count a custom population, posting type, location, or role group per company. | Companies with at least 10 engineers but fewer than 2 security engineers. | | 3 | Team shape | Filter by medians, percentiles, concentration, variance, or other org patterns. | Companies where the 90th percentile of engineering tenure is under 18 months. | | 4 | Change over time | Ask about past states, acceleration, churn windows, and event order. | AI or ML hiring in the last 30 days is more than 2x the prior 30 days. | | 5 | Team mix and ratios | Compare custom groups inside the same company. | AE-to-SDR ratio between 1.5 and 3.0. | | 6 | People-connected companies | Find companies connected by shared ex-employees or seed-company alumni. | Companies with at least 3 executives from Google, Meta, or Stripe. | | 7 | Uploaded accounts plus Landbase data | Treat your uploaded list as a queryable table with custom output columns. | Add engineer counts, growth, and custom flags to an uploaded account list. | ## What this changes for GTM teams Advanced Audience Search moves the hard part of list building into the search itself. Instead of exporting a broad list, computing the real signal elsewhere, and reshaping the output by hand, you can ask for the exact account or contact definition you need. That is especially useful when the buyer’s question is: * “Which accounts are showing a signal that our sales team can act on this week?” * “Which contacts have actually done this work before?” * “Which companies look under-invested in a function relative to their size?” * “Which accounts from our own list match this custom profile?” * “Which outputs should go directly into our CRM, warehouse, or outbound workflow?” ## Why this works These searches are possible because Landbase treats the underlying data as something you can compute over, not just something you can filter with a fixed menu. * Uploaded customer data is treated as a queryable table, not only an enrichment target. * Career history is structured across roles, dates, descriptions, skills, and headlines. * Job postings and career timelines are preserved historically instead of flattened to today’s snapshot. * Output columns can be defined at search time, including counts, ratios, booleans, and labels. ## Continue with interface-specific guidance This page explains the capability and the decision framework. For commands, tool schemas, confirmation behavior, and client setup, use the documentation for the interface you are using: * [CLI audience-search guide](https://www.landbase.com/docs/guides/cli/advanced-audience-search.md) * [MCP search reference](https://www.landbase.com/docs/reference/mcp/search.md#advanced-dataset-creator) This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.