⚙️ 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.
- Find SaaS companies hiring SDRs or AEs from job boards and Google.
- Enrich with funding history, founder info, and what CRM they use.
- Transform by classifying their team size and generating a readiness score.
- 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.