How 11x finds novel GTM signals with Exa

11x builds the digital workforce for Sales, Marketing, and RevOps teams. 11x's product Alice runs outbound workflows, ranging from prospecting, research, enrichment, personalization, to all engagement. Julian handles inbound qualification. Both rely on the same thing before they act: fresh account intelligence.

Before an agent reaches out, it needs to know which companies are worth pursuing, which people matter, what changed recently, and why the timing is relevant.

11x uses Exa to find those novel signals from the live web and bring the research back into its agent workflows.

Most outbound tools can surface the same obvious signals: funding rounds, job changes, hiring spikes, and basic firmographics. Those signals are useful, but they are no longer differentiated.

11x helps customers define more specific triggers. A good prospect might be a company describing a new operational need, hiring for a particular function, using a certain kind of tooling, expanding into a market, or showing a pattern across its website, jobs page, profiles, and public mentions.

That kind of signal is hard to capture in a fixed enrichment field in traditional SaaS software. It is often spread across the public web, and it depends on the customer's market.

11x uses Exa inside the agent workflow to turn a customer-specific trigger into a researched account list.

• Define the trigger: 11x works with a customer to describe what makes a company a strong prospect.
• Find matching accounts: Exa helps search people, company, and web data for evidence that an account matches that trigger.
• Research the account: Exa returns live web context so the agent has more than a name, title, and static company profile.
• Feed the agent: That research feeds into enrichment, personalization, engagement, reply handling, and meeting booking.

This lets 11x search in the way a human GTM operator would think: find companies that look like this, find the right people at those companies, and explain what is happening now that makes the account worth acting on.

For 11x, Exa is useful because the search target changes by customer. One customer may care about a specific hiring pattern. Another may care about operational clues on a company website. Another may care about companies that resemble a narrow market definition.

Exa lets 11x search for that evidence directly, instead of relying only on preset enrichment categories. Because Exa searches across live web data, 11x can validate and cross-check signals before they enter the workflow, reducing the extra validation work an agent or human would otherwise need to do.

The result is a more flexible research step: 11x can start with a plain-language prospect definition, find matching accounts, identify relevant people, validate why those accounts match, and bring current web context into the agent workflow.

Across 11x's production usage to date, Exa has powered millions of searches, Webset items, and enrichment cells — helping 11x's AI workers find the right people and companies, research them with live web context, and turn that context into qualified outreach decisions.

• More than 7.2M Search requests to date: 11x uses Exa Search for high-volume prospect and account research.
• More than 2.7M Webset items created to date: 11x uses Websets for large-scale prospect and account discovery.
• More than 67K Websets enrichment cells completed: Exa helps 11x validate and cross-check account signals before agents engage.