How to Enrich Every New Lead Automatically

Learn how Airtop Mark replaces a 12-tool lead enrichment stack with a single conversation. Describe what you need, and Mark builds an agent that enriches, scores, and alerts your team automatically.

ATAirtop Team
MAY 19, 2026
How to Enrich Every New Lead Automatically

One Conversation Replaces a 12-Tool Stack and a GTM Engineer

A new lead enters HubSpot. Now you need Clay to waterfall-enrich firmographics, a LinkedIn scraper for profile data, ZoomInfo or Apollo for the gaps Clay misses, a scoring formula in a staging sheet, Zapier to glue it all together, and a Slack integration for alerts. Six vendors. Fourteen field mappings. A GTM engineer to build it. Another sprint when something breaks.

Here's the same workflow in Mark.

You describe what you need. Mark builds it.

Open a conversation. Say this:

"Enrich every new lead in HubSpot. Pull firmographic data — industry, company size, funding, tech stack. Get their LinkedIn profile and About section. Score them against my ICP. If the score is above a threshold, send a Slack alert to #account-audit-vip."

Mark already knows your ICP from earlier in the conversation. It doesn't ask you to re-define your segments or fill out a scoring rubric.

It asks two follow-up questions:

  1. Where do the alerts go? You name the Slack channel.
  2. What's the score threshold? You pick a number. It becomes an adjustable parameter.

That's the entire configuration.

What Mark builds from that conversation

A single agent that runs every time a new lead enters HubSpot:

  1. Validates the email — filters out free providers and disposable addresses before spending enrichment credits on junk.

  2. Finds their LinkedIn profile — searches by name and company domain, extracts current title, headline, location, career history, and full About section.

  3. Enriches the company — pulls industry, employee count, funding stage, total raised, and tech stack.

  4. Scores against your ICP — evaluates job title seniority, company industry, company size, geography, and product-fit. Outputs a score from 0 to 100.

  5. Writes everything back to HubSpot — updates the contact record and the associated company record. No field mapping. No staging tables.

  6. Alerts your team on Slack — if the score hits your threshold, the message includes name, email, company, title, score, LinkedIn URL, and a one-line summary of why they qualified.

Connect the HubSpot trigger. It runs on every new lead from that point forward.

The contrast

The conventional approach: Clay for enrichment, Apollo or ZoomInfo for data gaps, a LinkedIn scraper, Zapier for orchestration, a spreadsheet for scoring, Slack for alerts. Six vendors, a GTM engineer to wire them together, and ongoing maintenance every time a provider changes their API or pricing. Your monthly bill scales with every tool in the chain.

With Mark: one conversation, one agent, one platform. The agent compiles down to deterministic code — it doesn't re-prompt an LLM on every lead, it runs like software. ~10x faster. ~100x cheaper. Same logic, same speed, same cost whether it's your tenth lead or your ten-thousandth.

You don't need fewer tools. You need zero tools. You need an agent.

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See it run.

Spin up your first agent in five minutes.