Lean Sales Systems

We build Modern Sales Systems
Our clients cut expenses & win more B2B deals with lean sales systems.

Founder & CEO

Clay

Sharing top 1% content on attracting new B2B Sales using Clay.
- Better Selling
- More B2B Deals
- Less costs

Clay Creator Partner

Lietuvos pardavimų asociacija (LiPA)

Member

Salesforge 🔥

SalesForge and their other forge tools are one the best sales tech in market for blending humans with AI. 
Since 2023 I've been helping B2B businesses with:
- AI powered B2B Lead generation
- Email deliverability solutions
- Outbound sales velocity

DM me "Salesforge" if you want to know more about these solutions.

Certified Expert, Partner

Reply

- Reply.io Certified Solution Provider - https://reply.io/experts/vytas-mikulenas
- Reply io is one the best sales engagement platform for modern B2B sales teams.
- Reply helps us grow B2B companies through multi channel prospecting automation.

Reply.io Expert

Growth Leads

B2B Sales Manager

Self-employed

Building, Marketing, and Selling info-products from 0$ to 4 figures per month.

Digital Products Marketing

GlobeAir

Sold private flights for over a million euros in 3 months for Luxury & B2B clients.

Sales Executive

Scaleswap

Partnership & KOL Marketing Manager

Vytautas Mikulenas

Freelance Social Media Manager

SMM & Sales manager turned Social Seller • Helping SMBs sell 4+ figure offers through social selling & new-gen outbound

👋 Hi, call me Vytas. I help companies to:

1. Win more B2B deals
2. Start +100s of conversations with ideal B2B prospects each month
3. Cut expenses with lean business development processes & latest sales tech

➤ 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬:

1. Sales clarity: We work with you to create a custom outbound sales strategy. This includes setting up effective outbound sales processes & defining KPIs. With a solid plan. We will know what to focus on and how to measure, improve & repeat

2. List Building: Cut out 75%-100% lead research & get more relelvant data. Using a multi-tool & multi-database approach. We identify all potential businesses & find key decision-makers, and target competitor clients

3. Data Enrichment: We enhance your contact lists with verified emails & phone numbers, ensuring your outreach is more effective. We use sales triggers to make more targeted & better timed outreach

4. AI-Powered Outreach: We use AI to filter out bad leads and do custom research at a scale. Solutions leverage AI to automate outreach efforts. This includes creating tailored messages for each prospect

5. Sales Engagement Automation: We automate sales outreach across —email, LinkedIn, and call tasks. You reach maximum amount of prospects automatically. Lastly, your sales reps get a list of warmed up leads to cold call

6. Email deliveraiblity: we build out your custom email infrastructure that allow you to send 1000s of emails to cold contacts without going to spam

7. CRM & Reporting: We set up systems that automatically track all interactions with leads in CRM.

8. Sales Velocity Acceleration: We provide continuous support, adjusting strategies based on performance and market changes. 

📈𝐒𝐮𝐜𝐜𝐞𝐬𝐬 𝐒𝐭𝐨𝐫𝐢𝐞𝐬:

1. Mark K. got 48 appointments with top EU FinTech businesses in 5 months
2. Antanas B. AI L&D company received +200 positive replies in 70 days from top 5000 companies in Lithuania
3. Darius' trucking staffing business received 27 interested leads in 30 days from various Eurpean logistic companies.
4. Pavel's staffing business received 190 interested leads in 90 days from top manufacturing businesses in Baltics.
5. Giedre's fractional HR business received ~60 interested leads in 30 days from top organizations in Baltics
6. Sarunas P. logistics team reached ~9000 contacts achieving 1200 replies with zero effort from their team within 3.5 months.

Average data:
- +475% more product B2B sales department
- +33% costs cut
- +5% MoM pipeline growth

➤Need results? Book a call - https://app.lemcal.com/@vytas
➤Not ready? Follow for top 1% growth content

Vytautas Mikulenas ⚡️

I did some reflecting on business, sales, and marketing for 2026, and I have some bad news.

The bad 👎

— Most B2B sales playbooks were built ~10 years ago.
— Some of the old go-to-market strategies don’t work anymore, or are far less effective.
— New tactics have become more sophisticated, more technical, and if you don’t care enough to adapt, your competition will.
— It’s harder “to figure it out.”

The good ✅

— Technology is cheaper and more customizable than ever before.
—AI can now do the job of a person for 1% of the cost in certain activities.
—You can literally fill a calendar with meetings automatically, if you’re good at it.
—Information and expert tips are free and abundant.

We just need to embrace the change.

Is your team already practically implementing AI?
(No—ChatGPT alone doesn’t count)

Vytas⚡️ Mikulenas

Accelerating sales with AI Growth Systems for B2B companies.

No alternative text description for this image

In 2026+, I see 2 paths B2B companies choose to grow with active sales:
1. Old playbook: 10 sales reps, 100 tasks each.
2. New playbook: AI does 99 tasks. Human does the 1 that matters.

AI doesn’t replace great salespeople.
It removes everything except the shot that matters.

Does this apply to you?

Here is a common statistic you might hear: Sales professionals spend 53-75% of their time on non-selling tasks. That's where AI and automation tech are practically helping businesses TODAY.

👉That means your team might be spending thousands on:

- list building
- cleaning data
- chasing unqualified leads
- browsing Sales Navigator, Google, Apollo, Lusha
- manual activity tracking in CRM
- taking meeting notes
- sending follow-ups
- sending LinkedIn connections

The shift looks like this in sales teams:

Old: 80% manual grind, 20% selling.
New: 80% human selling, 20% system checks.

That is where modern and competitive B2B sales teams are heading.

If you want to learn more about such systems -> Get in touch.

I am opening LinkedIn after a 2-week break from social media & agency client work to share 1 of the biggest mistakes I've made in 2025.

Holidays' quiet time helped me see a hard truth.

I am a systems guy.
I feel good when robots work while I sleep.
I love collecting results at the end of the day.
Then I want to optimize and run it again.

That is why I build sales automation systems.
That is why I built a lean, system-first agency.

🧠 My thinking was like:

- A repeat task → I must automate
- Not scalable → wrong process
- No predictable system → anxiety up

In 2025, this mindset went too far.

I was robotic in business and life. 
I wasted time on systemizing the wrong things.
And I forgot key human pieces:

✅ Relationships
No relationship with client = no trust = no success.
Great business service with low trust still fails.

✅ Human account management
You cannot run a project only with templated emails.
Emails don't show the urgency. Clients feel when no one “holds” the project.

✅Not scalable activity
A system without human energy is cold.
You still need calls, Looms, real talk, real care.

That's why, for 2026 and beyond, I believe B2B companies need scalable AI systems AND human execution to win. Whether it's sales, customer experience, or any other human-facing role.

Now, I am starting my workday here in Spain with clarity, energy, and a vision to move fewer companies with a bigger impact and world-class service.

👉How do you keep a balance between automation and real human work in your business?

I strongly believe that AI is replacing salespeople who are doing robotic work.

You see, if sales is doing anything other than talking to clients/prospects, then it’s a good sign that AI / tools can help your team cut down the fat.

For B2B, most repetetive tasks are often:

—Finding businesses & information about them online
—Qualifying leads
—Finding decision-maker contacts
—Filling spreadsheets and CRMs
—Taking meeting notes
—Sending LinkedIn connection requests and messages
—Sending a cold email / WhatsApp message
—Tracking KPIs
—Prefilling / sending follow-up emails

And that's exactly what I help companies with.

Now here are the things AI won’t replace — and will become more critical:

—Cold calling
—Negotiations
—Running sales meetings
—Being a great communicator
—Quality conversations (Challenging prospects, making sense, showing empa𝘁hy)

Or as Gen Z would put it -

If you manage a team of "bots" then AI might take over the business.

There are 4 levels of CEOs & Head of Sales in 2026+

Level 1 - you get clients by doing everything yourself
Level 2 - you hire a human "bot" that will do things
Level 3 - you hire 1000s of AI "bots" (by hiring "GTM engineer"in B2B)
Level 4 - AI just grows your entire business automatically. 

(Okay, maybe the last one was made up by my fantasy)

But watch out for it. One day perhaps you could get a SaaS subscription that will build you a mini business or a mini department.

Naval Ravikant puts it well - "Robots are replacing all the people doing robotic jobs."

How are you eliminating robotic work?

If you're in sales, marketing, B2B revenue leadership role, such as a CEO, then you should bookmark this post. Knowing these can help you avoid common pitfalls and get clarity. 

Companies and experts create them for a reason.

is explained clearly enough? 

Comment below if you have a question.

Most businesses I talk to see AI as a “60‑day test project”.
While the winning organizations know AI is here to stay. They treat it as a 10‑year growth opportunity.

Since for the last few years I;ve been working with B2B sales & marketing teams I noticed how most companies get stuck between 2 choices today:

1) Buy the next shiny AI tool and hope it “fixes” sales overnight. 
2) Keep relying on hiring people to “grow” after 1st fail with AI. 

Both will fail to stay competitive in 2026+ for the same reason.

They treat growth as a task, not a system that competes in the market every day.

The new way of B2B growth looks very different:

1. AI systems automate boring, repetitive work
2. Humans focus on trust, conversations, +2x more effectively
3. Go‑to‑market experts or “GTM engineers” design the strategy and system

This is not a short-term project.
The hard part is not buying AI agents.
The hard part is combining these 3 parts into 1 system suiting you. 

A successful AI implementation needs to adapt to your company's:
- workflows
- resources
- tone of voice
- goals.

It does not happen in 2 months.
You might break things. 
Some ideas will fail.
There might be delays.

Despite all of that, there will be teams that push through these obstacles to:

• Develop a leaner growth system that makes profits
• Maintain a sales engine that scales trust, not spam
• Keep winning for the next generation

I call this the new way of B2B growth:
AI systems + human experts building trust and sales at scale.

How is your team treating AI today: project or long‑term growth engine?

If you want to read The Ultimate AI SEO Guide (1000+ Readers):

→ GO HERE: https://aiclicks.io/guides/ai-seo

If you want to optimize your website for AI search:

→ GO HERE: https://aiclicks.io

If you want to follow along and get the latest updates, subscribe to my YouTube channel:

https://www.youtube.com/@RokasAISEOtips

Rokas Stankevicius

In 90 days, we started 360 high-intent Reddit discussions for one client.

More than 80 of those turned into paying customers.

The outcome?

$4,800 in extra revenue in a single month.

After seeing this work, I decided to document the exact process we used.

Here’s a preview of what’s included:

- Post types that consistently get strong reach.
- My Reddit SEO approach for AI visibility.
- A step-by-step breakdown of how we grew our SaaS using Reddit.
- The automations I use to turn views into demo bookings.
- How to get traffic from 100+ subreddits without getting banned.

If you want the complete Reddit Strategy Playbook (fully organic), here’s how to get it:

✅ Connect with me
✅ Like this post
✅ Comment “REDDIT”

I’ll send the full playbook directly to you.

P.S. This guide won’t stay private forever. Early movers will dominate Reddit + AI traffic.

P.P.S. Repost for faster access.

I help brands rank #1 on ChatGPT using a 3-step AI SEO framework | DM me “clicks” and I’ll send it over | Founder @ AIclicks

I ranked top 1% on ChatGPT in 90 days.

And added $5k extra MRR. Steal my system:

Many DTC brands still haven't realized how easy it is to dominate LLM answers.

That's why I created 'The Reddit AI SEO Guide'.

Inside you’ll get:

→ The Power of Reddit for Growth
→ How to Build Trust on Reddit
→ How to Promote Your Business in Reddit Comments
→ How to Create Reddit Posts

This is the same playbook I've used to rank top 1% on ChatGPT.

And I'm giving it away for FREE!

Want access?

1. Connect with me
2. Comment "REDDIT"

And I'll send it over.

PS - Repost this for priority access

LLMs look at what they can find online. If your brand isn’t mentioned, it won’t show up. Here are 250+ places that help fix this:

I've built a clear list of directories where you can add your website and be seen in more places online.

What’s inside:

- 250+ directories where you can submit your brand
- Clear categories for SaaS and B2B products
- Hand-picked directories that AI tools mention the most
- Short notes for each one so you know what to submit

Why this is important:

- Directories are clean and well organized. AI tools like them because they are easy to read and understand.

- The more good directories your brand is in, the more signals you send that your business is real, active, and trusted.

With this list alone, you can build more online presence in 30 days than many teams do in a full year.

If you want it:

✅ Connect with me
✅ Like this post
✅ Comment “DIRECTORIES”

I’ll send it to you.

300,000 views → $5k extra MRR → Top 5 AI visibility

A few weeks ago, I shared an AI SEO guide showing how we pushed our own brand to the top and used the same framework to help dozens of clients do the same.

I didn’t expect this response:

• 300,000+ views (on LinkedIn only)
• 1,500+ downloads
• Dozens of messages thanking me for practical insights

So I decided to iterate and release v2.

This guide is based on:

- What we’ve tested inside AIclicks
- What I’ve shared in webinars and on stages with thousands of people
- What actually works with real SEO execution (not theory)

Inside the guide:

- How LLMs decide which brands get mentioned
- How we structure content (to get 5× more impressions)
- A simple 5-step AI SEO framework
- Where to publish for maximum AI visibility
- How to format content for AI answers
- A Reddit strategy for authority
- How to track visibility in ChatGPT, Perplexity, and Gemini

This system helped us:

- Rank in ChatGPT in <72 hours
- Appear consistently in AI answers
- Compete with bigger SEO budgets


Brands using AI SEO already see up to 20% of traffic from LLMs —
and that traffic converts 4.4× better.

Want the AI SEO Guide?

1️⃣ Connect with me
2️⃣ Like this post
3️⃣ Comment “AI SEO GUIDE”

P.S. This won’t work forever. Early movers will win AI traffic.

P.P.S. Repost for faster access.

I've published 50+ AI SEO posts in the last 6 months on LinkedIn alone.

But getting everything you need meant scrolling through 50+ posts and piecing together frameworks.

I combined every high-performing post, framework, and strategy into one Claude Code skill instance.

One command. Every AI SEO answer you need.

What's inside:

- 5-step framework to rank in ChatGPT, Claude, Gemini, and Perplexity.
- Best citation sources that AI tools actually read.
- Reddit discussion strategies (with exact prompts and templates).
- Content optimization process for LLM visibility.
- Tracking methodologies we use for 900+ brands at AIclicks.
- Ready-to-use content writing prompts for content gaps.

This skill walks you through exactly what to fix, where to get listed, and how to track your progress. Just ask the skill your AI SEO question, and it guides you step-by-step.

If you want it:

✅ Connect with me 
✅ Like this post 
✅ Comment "Claude Code"

I'll send you the skill installation link.

P.S. Early movers are already dominating AI search results. 
This skill gives you the same frameworks they're using.

The AI SEO Checklist for 2026:

If your brand isn't showing up in ChatGPT responses, you're already losing traffic.

Here's the 6-part framework to rank in AI search:

1/ LLM Visibility

Set up GA4 segments to track AI traffic separately. 
Build a prompt list with 50-200 queries your audience asks. 
Track your visibility percentage, mentions, and citations weekly against competitors.

2/ Analyze AI Audits

Check where you're mentioned across all AI models. 
List weak prompt categories using analysis results. 
Identify industry rankings and LLM visibility results per topic. 
This shows exactly where you need to improve.

3/ Identify Sources

Analyze which domains AI models cite most often in your niche. 
Build a target list to earn citations from these sources. 
Secure inclusion in affiliate listicles and refresh placements in directories like G2, Capterra, and Trustpilot.

4/ Content Upgrade

Create answer-first content that directly solves the query. 
Use one idea per section with clean headings. 
Add comparison tables for "best X" intent pages. 
Ensure information is scannable with trust signals like reviewed-by dates.

5/ Social Search Optimization

Build Reddit account reputation and engage in threads ranking for your topic clusters. 
Repurpose core content to LinkedIn Pulse and create YouTube videos targeting your main keywords. 
Look for engagement opportunities across social platforms AI cites.

6/ Technical Setup

Allow GPTBot and PerplexityBot access (don't accidentally block them). 
Fix page indexing issues and maintain Core Web Vitals. 
Use SSR or static rendering for all critical pages.

P.S. Download the full checklist at aiclicks[.]io/guides/ai-seo

❌ “AI-generated content can’t rank on Google.”

Not true.

Our site is less than a year old and it’s already ranking for tens of high-value keywords.

All of that content was created using our own tool. 
And we’re just getting started. 

Over the next few months, we’re rolling out features that will push this even further (can’t wait to show you).

AI content does rank when:

It’s relevant
It’s clearly structured
It matches search intent
It uses the right keywords
It includes strong internal and external links


Google doesn’t care how the content is written.
It cares about what value it provides.

You can write it yourself.
Or you can use a tool like aiclicks[.]io.

5 ways AI SEO is not traditional SEO (with numbers):

People still approach AI SEO like it’s Google with longer keywords.
The data already shows that’s wrong.

Here’s what actually changes:

1. Rankings matter less than citations

In AI systems, there are no fixed positions.
Multiple independent studies show that 60–80% of URLs cited in AI answers do NOT rank on page 1 of Google (Ahrefs).

Roughly 30–40% don’t rank in the top 100 at all.

That alone breaks the “just rank higher” SEO mindset.

2. Your website is only one signal among many

In classic SEO, a strong domain could win alone.

In AI answers, models typically synthesize responses from 5–15 distinct sources per answer, mixing blogs, directories, forums, reviews, and documentation.

3. Positions are volatile

- Ask the same question 10 times and you’ll get different outputs.
- Tests consistently show 20–40% variation in cited sources across repeated AI queries, even with identical wording.
- This level of volatility simply doesn’t exist in Google SERPs.

In fact, Most AIclicks clients see 5–20x more volatility in AI visibility week to week compared to SERP rankings.

4. Retrieval is not limited to search engines

AI systems retrieve from:

- Search indexes
- Static training data
- Uploaded documents
- APIs
- Direct website fetches

Search is still the largest retrieval layer, but it’s no longer exclusive.

5. Visibility drives demand, not clicks

In AI SEO, users often never click.

Brands instead see:

- Increases in branded searches
- Direct traffic growth
- Higher close rates from informed users

The takeaway:

If your brand isn’t cited, compared, or mentioned, you’re invisible. Even if you rank well in Google.

OpenAI just announced ads. Here’s everything you need to prepare for it:

1/ Rollout

Ads are coming to ChatGPT, starting with Free and Go users in the US. Testing is expected to begin in the coming weeks. Pro, Business, and Enterprise users will stay ad-free.

2/ How it will work

Ads will appear at the bottom of ChatGPT responses. They are triggered by the context of the conversation, not by keywords. Each ad will be clearly labeled as sponsored.

3/ OpenAI’s advertising principles in ChatGPT

Ads won’t influence how ChatGPT responds. Answers will be based only on what’s most helpful to the user.
OpenAI will keep conversations private and won’t sell user data to advertisers.
Users will be able to manage ad personalization, clear ad data, or choose an ad-free paid plan.

4/ Advertiser access

There is still no clear process for advertisers. OpenAI has not announced an ad manager yet, and the launch will start as invite-only.

5/ Why this matters

More than 200 million people use ChatGPT every week. Advertiser competition is still low, and early data suggests conversion rates can be up to three times higher than traditional paid media.

Ads inside ChatGPT

In just 90 days, we went from zero visibility to becoming one of the top cited brand in major LLMs.

And we're breaking down exactly how we made it in a webinar next week.

Our Head of Growth Matas Kibildis will share:

1/ The exact tactics we used

Real examples of what we implemented and how we approached LLM visibility from day one.

2/ What actually moved the needle

Not everything worked. We'll show you the 20% that drove 80% of the results.

3/ What we'd repeat (and what we'd skip)

The honest breakdown of where we invested time well and where we wasted it.

All in all, practical frameworks for your own brand on what's working right now for SEO and GEO.

Date: January 28, 3:30 PM GMT 

Book your spot by clicking the first link in the comments.

This is extremely useful if you care about how AI systems choose which brands to recommend:

Together with Andrius Stockunas and Matas Kibildis, we’ve spent months breaking down how LLMs select content. 

Testing dozens of pages, formats, and distribution plays to see what truly moves the needle. These are the highest-leverage actions:

1. Set an AI visibility baseline

Before optimizing anything, you need a reference point.
Track AI-driven traffic inside GA4. Monitor where and how your brand appears in AI answers. This tells you whether AI already recognizes your brand.

2. List the sources AI already cites

AI shows you who it trusts. Analyze which websites, directories, and platforms AI models cite with AIclicks. Build a short list of domains you need to appear on.

3. Rewrite content for extraction

Move the direct answer to the very top of the page. Rewrite sections so each covers one idea only. Structure content so AI can lift it without guessing.

4. Add proof inside your content

Show last updated dates and reviews. Create About and Author pages. Make it obvious that there are real people and a real brand behind the content.

5. Repurpose to increase surface area

Republish adapted versions on LinkedIn Pulse and other relevant platforms. Rewrite content for different contexts while keeping the core message intact.

6. Earn external validation

Refresh listings on Trustpilot, G2, or Capterra if relevant. Secure inclusion in comparison pages and “best X” articles that AI already references.

7. Use Reddit only where it matters

Reddit can be a signal. Or a waste of time.

Be active on Reddit only if AI cites Reddit in your niche. Participate in threads that already rank. Add value first and avoid promotional drops.

taplio

The Battle

Vytautas Mikulenas ⚡️

Rokas Stankevicius

Followers

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taplio

The Battle

Vytautas Mikulenas ⚡️

Rokas Stankevicius

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Vytautas Mikulenas ⚡️'s LinkedIn Performance

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