Hey Niepodam,

A rep I was coaching showed me his pipeline this quarter.

Good accounts.
Decent messaging.
Solid product.

But his deals all had the same pattern: They started too late.

Competitors were already in the deal.

Discovery was already done.

Budget conversations had already happened.

He wasn’t losing because of skill.

He was losing because he entered after the buying process started.

So we flipped the entire strategy.

Instead of prospecting accounts…

We started hunting signals.

And AI became the radar.

The “Signal Swarm” Strategy

Most sellers track one trigger:

• Funding round.
• Job change.
• New hire.

But real buying intent rarely shows up as one signal.

It shows up as multiple small signals happening close together.

That’s the swarm.

Example:

• The company posts 2 SDR roles
• The CRO shares a pipeline-related post on LinkedIn
• RevOps opens a new operations job
• They launch a new pricing page

Individually? Nothing.

Together? That’s usually the beginning of a buying cycle.

Step 1: Use AI to Predict Signals

I start with this prompt in GPT:

“For a SaaS company that might buy [your product category], what signals would appear publicly before they start evaluating vendors?”

AI will generate things like:

• hiring patterns
• leadership posts
• product launches
• tech stack changes
• new strategic initiatives

Now you know what signals to watch for.

Step 2: Build the Signal Tracker

Next prompt:

“Which 10 public signals would suggest this company is about to evaluate a solution in this category?”

Now you’ve got a buying radar.

Example signals AI might identify:

1. Hiring multiple SDRs
2. RevOps job opening
3. VP Sales joins company
4. CRM migration
5. Pricing page changes
6. Territory expansion
7. Product launch
8. GTM podcast appearances
9. New outbound leadership
10. Rapid sales hiring

You’re no longer guessing.

You’re tracking patterns.

Step 3: Ask AI to Prioritize Accounts

Now the magic prompt.

I drop multiple signals into Claude:

“If a company shows these 4 signals in 30 days, how likely is it they are entering a buying cycle for [category]?”

AI will usually say something like: “High probability of active evaluation or internal discussion.”

That’s when you move.

Not before.

Not after.

Right when the swarm appears.

Step 4: Write the Signal-Based Message

Your outreach becomes incredibly simple.

Example:

“Noticed your team recently hired 3 SDRs and opened a RevOps role.

Most companies at that stage are trying to fix pipeline coverage before scaling outbound further.

Curious if that’s the focus internally right now?”

You’re not pitching.

You’re narrating what’s happening.

Which makes it feel like perfect timing.

Why This Works So Well

Most sellers prospect like this: Account → message → hope.

Signal sellers do this: Signal → timing → message.

By the time competitors start outreach…

You’re already in the conversation.

The Real AI Advantage

AI isn’t powerful because it writes emails.

It’s powerful because it helps you answer the question: “Who is about to buy?”

The seller who figures that out first… almost always wins the deal.

Recap

The Signal Swarm strategy:

1. Use AI to identify buying signals
2. Track clusters of signals
3. Prioritize accounts when signals stack
4. Reach out before the buying cycle begins

Because the best time to sell…

is before the deal exists.

Alan "Modern Seller" Ruchtein

Act like +1400 heroes:

Check out The Only Sales Course you'll ever need.