Skip to Content
Reasonyx v1 is live 🎉. Get Started for Free ➡️
Core ConceptsGTM Framework

⚙️ Reasonyx GTM Automation Frawework (With AI)

AI is transforming go-to-market workflows — but to get real results, you need more than just tools.
You need a clear approach to designing automations that actually move the needle.

This simple 4-step framework helps you break down any GTM workflow into practical, repeatable stages:
Find → Enrich → Transform → Reach

Let’s walk through what each one means and how to use them inside Reasonyx.


🔍 Step 1: Find the Right Prospects

Everything starts with discovery.

Use smart signals like:

  • Recent funding or job changes
  • New office openings or hiring activity
  • Mentions on Reddit, job boards, or Google
  • Custom scraping flows that auto-run weekly

The goal is to surface high-intent leads — not just cold lists.


🧩 Step 2: Enrich with Useful Context

Next, enrich each lead with info that makes outreach relevant.

That can include:

  • Contact details and social links
  • Website data like pricing, features, or CTAs
  • AI-generated summaries of what the company does
  • Signals from LinkedIn, Crunchbase, or built-in data sources

You’re building a full picture of each lead, so you can speak to them directly.


🧠 Step 3: Transform into Structured Signals

Once enriched, turn your raw data into something usable.

For example:

  • Format messy columns or fix missing info
  • Use AI to classify companies (B2B/B2C, industry, team size)
  • Extract pain points or goals from descriptions
  • Generate lead scores or filters automatically

This is what makes automation work — structured data that powers the next step.


✉️ Step 4: Reach with Personalized Outputs

Now that your table is enriched and organized, you can create personalized content at scale.

This could be:

  • Email copy referencing a lead’s recent hire or product update
  • Custom audits or reports generated from their site
  • Messaging that adjusts by segment, role, or tech stack
  • AI-generated summaries or intros for outbound campaigns

You’re not just sending data — you’re sending value, personalized to each lead.


🧪 Real Example: Selling to SaaS Teams

Let’s say you sell a product for scaling sales teams.

  1. Find SaaS companies hiring SDRs or AEs from job boards and Google.
  2. Enrich with funding history, founder info, and what CRM they use.
  3. Transform by classifying their team size and generating a readiness score.
  4. Reach out with a custom message about how your product helps new reps ramp faster — using details from their job post.

That’s the full loop — from raw data to smart outreach, in one automated flow.


🧭 Summary

This framework gives you a way to think about AI workflows in your GTM motion.
From finding intent-rich leads to creating personalized content, every step is modular and repeatable — and it all happens inside a single table.

In the next section, we’ll show you how to build your first full workflow using these four steps.

Last updated on