Prospect → enrich → AI-score → route into GoHighLevel

Find prospects, enrich them, run an AI Column to score 0-100 against your ICP, and route only the top tier into GoHighLevel as MQLs.

🟡 Standard~12 min to first value~12–16 per scored contactgohighlevel
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The goal

Filter out the low-fit leads before they hit GoHighLevel — your reps only see ICP-matched, scored, enriched contacts.

revopsgtm-engineer

What you provide.

  • Target accounts list
    Domains or company names.
  • ICP prompt
    Define what a "great-fit lead" looks like for your scoring AI Column.

The action chain.

Each step uses a real TexAu actionKey. Click the step to read the action's full reference.

  1. 1
    Findapollo-enrich-person

    Find decision-makers at target accounts.

  2. 2
    Enrichfullenrich-work-email-enrichment

    Waterfall email + company enrichment.

  3. 3
    Scoretexau-find-technographic-data

    AI Column scores each row 0-100 against the ICP prompt with full row context.

  4. 4
    Syncgohighlevel-create-contact

    Only rows scoring 80+ are routed to GoHighLevel.

What you get back.

  • Scored MQLs
    → GoHighLevel

Why this works.

Most teams discover scoring AFTER they have a polluted CRM. Front-loading the AI Column score before the CRM write means your reps never see junk leads. The AI Column passes the entire row context — title, company size, tech signals, recent funding — into a single prompt, not one cell at a time. This is the difference between "score by job title" (low signal) and "score by job-title × ARR × hiring-velocity × competitor-mention" (real signal). Pair with a HubSpot or Salesforce list view filtered to score >= 80 and your SDR queue stays high-fidelity. Common variant: route 60-79 to a nurture sequence and 80+ to the AE.

Ready to run it

Deploy this workflow in your TexAu workspace.

Every workflow in the library is one click to deploy. Edit any step, swap providers, or fork it for a new ICP.

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