Michel Lieben 🧠

I spent 150+ hours trying out 62 AI Agents.

These 7 actually help you sign more clients:

1. Agent Builder: Relevance AI

↳ It helps you build custom Agentic workflows.

For example, you can build: 
→ A workflow that identifies viral posts given a list of topics/creators, & adds the ones that outperformed to a Google Sheet.

Type out inside Relevance what workflow you’d like to build 
…and it does most of the automation building on your behalf.


2. Research agent: Claygent

↳ It helps you effortlessly research prospects at scale.

Claygent is embedded inside Clay & works like an assistant you can delegate time-consuming tasks to.

For example, ask it to: 
→ Find pricing info on 1000+ SaaS companies.

Claygent will then:
- Browse the web and navigate each SaaS website.
- Navigate until it finds pricing.
- Give you the price.
- Explain where/how it found it.


3. Reply agent: Instantly.ai

↳ It monitors your inbox and drafts answers on your behalf.

Typically, with cold emails:
The faster you reply, the more meetings you book out of interested leads.

Example use-case:
→ Activate Instantly’s reply agent for your outbound campaigns.

And then, these reply agents can be trained to automatically:
- assess whether prospects were interested or not
- draft a reply, based on interest, that mimics your tone

You can run it entirely on autopilot 
…but I suggest always keeping a human in the loop for quality control.


4. Development Agent: Lovable

↳ It helps you build mini-tools without coding experience.

For example, ask it to:
→ Build an app that finds email addresses or a client reporting dashboard.

And then, after a good chunk of debugging, it creates a ‘decent’ prototype.


5. Sourcing Agent: Exa’s Websets

↳ It builds precise prospecting lists only requiring natural language prompts.

Example use-case:
→ You tell it you want to build a list of "CEOs in AI SaaS companies, from 100 to 250 employees, in NY, who raised > $1M”

The agent comes up with the filters, sources the list in real-time, provides leads that fit some of the criteria, and only charges you for leads that fit them all.


6. LinkedIn Agent: Valley

↳ It mimics human SDRs in the DMs.

Example use-case:
→ Let it run your prospecting.

Valley autonomously: 
- sources your ICP
- identifies relevant signals
- writes outreach messages
- monitors conversation & replies

... and it does that pretty impressively for a 🤖.


7. Sales agent: Attention

↳ It records your meetings & provides insights your sales team can leverage to close deals.

For example: 
→ Let Attention join your meetings.

It’ll analyse conversations in real-time, update your CRM, & suggest best next steps.

Then, it can also analyse 100s of sales conversations, and provide insights around:
“What made prospects book a meeting with your team”
“How did they hear about your company”
“What’s preventing them to buy”


P.S: Have you recently 'hired' an AI agent in your business that effectively helped you find clients?

I just crossed 60,000 followers. LinkedIn got us to $6.5M+ ARR.

Here's every tool I used to grow my following:

1. Content Ideation

→ Taplio (go.coldiq.com/taplio)

I use their in-app feed to find outlier LinkedIn posts in my niche.

You can input keywords such as: "ai sales", "outbound" or "GTM" and then filter for posts that:

- include the above 'searched' keywords
- were posted within a month ago
- had 300 likes or more

I then reverse-engineer the structure, hook & CTAs of these high-performing posts to improve my own.

→ Scripe

Also great for content ideation.

It lets you aggregate posts by author, which is another helpful way to find 'viral publications' or 'outliers' on a given topic.


2. Copywriting

→ Grammarly

As a non-native English speaker, I make lots of spelling mistakes.

I use Grammarly's extension to correct my writing in real-time.

Doesn't sound too crazy, but this could be the most helpful application in my LinkedIn tech stack.

→ Claude

I use Claude to generate hook variations, repurpose past content & brainstorm new angles.


3. Visuals & Design

→ Figma / Adobe

My LinkedIn strategy relies a lot on visuals.

When made well, they multiply the reach of your publications up to 10X.

Our designers use either Figma or Adobe's suite to design our carousels & infographics.


→ Canva

My first-ever carousels published on here were made on Canva.

It is the most beginner-friendly app to create social media visuals.


4. Video Creation

→ OpusClip

I use Opus's AI features to automatically create short-form videos from my long-form content.

The output isn't as great as that of a professional editor...
But it's cost-effective.

And multiple AI-edited videos got me 50,000+ views on LinkedIn (while only taking me 2 minutes to generate).

→ Screen Studio

Screen Studio is my favourite Mac Screen recording app.

It's great to make video walkthroughs or tutorials because it automatically zooms/focuses on the parts of the screen you're actively working on.

It makes video outputs look much more fancy than they'd be otherwise.

→ Ezgif

I use Ezgif to create .GIF files out of my short audioless video content.

If you're planning to publish a < 15-second audio-less video on LinkedIn...

I'd recommend speeding it up and converting it into a GIF file.

I'm not 100% sure why, but it outperforms in terms of reach & engagement.


5. Content Planning

→ Notion

My central content hub.
It's where I collect ideas, draft them, and prepare my posts.

Notion also serves as my content calendar.


That's the entire stack I used to go from 0 to 60,000+ followers.

It's also the tech stack I plan to get past 100,000.

What tools did I miss?

Let me know 👇

P.S: If you want to grow your account, sell a B2B product, but don't have time to post... send a DM.
We'll do it for you ✌️

How I get > 30% replies via LinkedIn DMs

By doing the opposite of the 100+ weekly pitches I get:

CONTEXT

I sent 5M+ outbound messages for my $6.5M+ ARR Agency.

Nowadays...

Answering DMs costs me more time than running campaigns.

I'm the CEO at a 33-person company.
(I can't imagine how much outreach execs in big orgs get)

That said, I know most execs check their inbox.
And many reply.

Here's how I decide whether I'll respond or not...

And how I changed my own outreach because of this ↓


✅  DMs offering free work

Some DMs offered a free landing page rewrite or samples of already-made work.

I ran prospecting campaigns and pitched free custom lead lists.
(These were getting me more positive replies than I could handle)

My recommendation: Imagine your prospect is an existing client. What's the first thing you'll do for them? Do it already and send it over!


✅ DMs asking to be referred

Let's say you:
1. Send a message based on a current initiative of ColdIQ
2. Searched who is in charge of this initiative.
↳ I'll gladly refer you to said person

PS: You can automate this 'play' via Clay by combining intent signals & retrieving a leader/manager in a specific department.


❌ DMs asking for time on the 1st touchpoint

Meetings are my personal hell.
I'm fighting every day to eliminate as many of them as possible.

If you're "just asking 15 min of my time" to pick my brain, I won't answer.


✅ DMs from ‘known’ people

An unfair truth in cold outreach: $WHO sends a message matters even more than WHAT the message is.

If you're a well-known executive, I'll most likely reply.

I saw this firsthand as I grew my LinkedIn to 60K+ followers...

The exact same message would perform better, without changing anything.

Pro tip: If you sell B2B products, build your brand on LinkedIn.


❌ Generic templated outreach

The only way to make impersonal, generic outreach work is to send at a massive volume (millions of messages).

LinkedIn doesn't allow such volume.

So you'd be better off doing this by email.
Or better yet... not at all.


✅ DMs sharing valuable insights

Jihad explained this better than I could under one of my posts:

"
The best "free work" isn't actually work → it's insights.

I send technical audits of prospects' platforms.
→ 5-minute analysis
→ 3 specific optimization opportunities
→ No strings attached

Example: "Your checkout flow has a 23% drop-off at payment verification. Here's why + 2 quick fixes."

- Takes me 10 minutes.
- Shows immediate value.
- Demonstrates expertise without asking for anything.

The key: Make it so valuable they'd typically pay for it.

Generic "free consultation" = everyone does this.
Specific actionable insight = rare.
"

Solving prospects' issues before they pay you a dime is the fastest way to gain their trust.


🔘 Videos or Voice Notes

I listen to voice notes or watch videos.

It annoys people.
But if they're well done, they'll grab attention.

What's a DM you receive you could NOT ignore?

Share it 👇

These 4 GTM agents will save you 5 hours every day:

They automate:

→ Content creation
→ Market research
→ Prospecting

Here’s how they work:

AGENT 1: AUTOMATE LEAD RESEARCH

This agent captures company profiles, enriches them & scores them on autopilot.

Step-by-step:

- GhostGenius sources company profiles
- Agent monitors credibility signals (follower count, high activity, active website) 
- GPT scores each profile against our ICP criteria.
- Contacts are deduped so they’re never reached out to twice.

Qualified validated prospects are sent directly to a Google Sheets for prospecting.


AGENT 2: LOCAL OUTBOUND ENGINE

Apify extracts information about local businesses from Google Maps.
But this raw data is typically unstructured, messy & outdated.

Thus, through the Agent:

- Google Search API fills incomplete metadata.
- Each website is scraped for keywords, tech stacks, & offerings.
- GPT enriches every business profile & classifies these.
- Additional info (i.e: emails, phone numbers, contact links) is extracted.

The data is then exported to Airtable or Google Sheets.
Initial low-quality data turns into sales-ready records.


AGENT 3: CONTENT GENERATOR

Drop a content brief into a Google Form.

Get auto-generated:

- Copy for your LinkedIn carousels, slide-by-slide.
- Visual briefs for your designer.
- LinkedIn publication drafts.
- LinkedIn (or social) Hooks
- CTAs

Drafts are automatically added to your Notion content calendar.

They need a 10 to 15-minute manual edit, and they’re good to go.


AGENT 4: REDDIT INTEL SOURCING

Many GTM teams ignore forums & communities.
But they’re typically goldmines for learning about your prospects' pain points.

Reddit has communities in almost every niche.
But it’d take lots of time to read through all these.

Thus, the agent, based on a website/domain:

- Identifies ICP signals.
- Extract relevant threads via Reddit API
- Summarizes pain points, language used by prospects, frustrations & what they seem to care about most.
- Sends a daily report to your inbox.


THE RESULT: MORE PIPELINE

These steps save a lot of manual time, which you can now allocate to going in-depth into more worthwhile, high-value activities.

All these automations are built inside n8n.

Which one is most valuable to you?

AI agents are replacing human employees.

Funny enough, they operate in very similar ways:

The smartest agents don’t work alone.
They work in teams.

Some behave like assistants.
Others as managers.

And as with any sort of team, there are different ways to structure their collaboration.

To illustrate this:
We can look at how 3 multi-agent setups would handle the same task…

For example: Scheduling a quarter business review with an important client.


1️⃣ Hierarchical setup

A manager agent assigning tasks to its agent team members.

1. The manager receives a task = Schedule a business review.

2. It tells a subordinate agent to check potential times to meet with the clients.

3. Another agent checks product usage from the client. "Has usage recently dropped? Is engagement still strong?"

4. A 3rd agent drafts an email based on client availability & product usage:

"Hey Achilles, it's been a while - wanted to ensure you're using the product to the fullest. How about a quick chat next week, Wednesday?”

5. The manager reviews everything and sends the email.


2️⃣ 'Human-in-the-Loop'

A smart assistant tapping your shoulder when needed.

1. The agent drafts the business review email and finds some available times.

2. But… it sees the client gave negative feedback 2 weeks ago.

3. Before sending the email, it asks you: “Do you want to review the email before I send it?"

4. You make small tweaks, and you send it.


3️⃣ 'Sequential' setup

Like a factory or an assembly line where each person does one task and hands it off to the next.

1. 1st Agent asks: "Is a quarterly business review due?" based on the client's last meeting time.

2. 2nd Agent pulls client's usage data.

3. 3rd Agent drafts a short email.

4. 4th Agent sends the email to book the meeting.


So, when should you use which?

As a rule of thumb:

- Hierarchical setups work well for complex, multi-step tasks.

- Human-in-the-loop setups are recommended for high-stakes, sensitive tasks.

- Sequential setups for ordered workflows with clear dependencies.


P.S: What's one process in your team that would run better...
with some smart agents working behind the scenes? 👇