Co-founder at Leadvisibility | Force your co-founder to post content/engage with target customers on LinkedIn

Imagine this: you and your co-founder both post content on LinkedIn and also engage with target customers’ posts to build more familiarity with them...

Then add outbound to that sequence to turn those interests into booked meetings.

This is what we do at our company.

And then we might also rewrite your homepage too to ensure the traffic landing on your site is converting to booked demos, sales calls, and sign-ups.

Even if your co-founder is the CTO of the company, we can make things easier for them.

DM to test us out!

Miracle Okonkwo

what should the CEO of HubSpot post on LinkedIn?

What should the CTO post?

If you are a SaaS company with 2 co-founders and your titles go like this;

- Co-founder/CEO with non-technical roles
- Co-founder/CTO with technical roles

How do you both post content that speaks to your target customers, drives pipeline, while connecting it to your individual roles in the company?

I think this is easier for the co-founder/CEO to pull off.

But what about the co-founder/CTO?

Do your customers actually want to hear the technical aspect of the business?

Yeah.

It actually depends on how you and your co-founder go about it.

I have an equation to follow here...

Your role in the company +
What the product does +
What gets the attention of your target customers.

For example;

How do the roles of a CEO impact the company vision to help customers solve a particular problem?

Also, how do the roles of a CTO impact this?

To explain this more...

I have 5 content pillars I follow when it comes to getting founders to post 5 times a week.

1) What the product does

2) How you use the product personally to drive the results you are promising your target customers.

3) Customer resistance/complaints

4) Customer good words/wins

5) Founder narratives and stories

Now, how you and your co-founder speak about the content ideas under each of these 5 content pillars will be different.

One is giving their non-technical perspective, while the other is giving their technical version.

This is a way you can go about it.

Or is this wrong?

Co-founder at Leadvisibility | Helping you and your co-founder post content and book meetings on LinkedIn | Homepage rewrite/setup if your site is not converting.

I help busy SaaS marketers reclaim their time through content writing that builds authority 🚀 B2B Copywriter & Content Writer 📖 SaaS & Hospitality Expert ♡

Most hospitality SaaS CMOs are making content decisions in the dark.

You don't know how AI systems describe your brand to buyers, and you're guessing at what content strategies work based on trends, not data from your competitive landscape.

I'm Ana, and I solve this through two strategic intelligence services:

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1️⃣ AI VISIBILITY ANALYSIS

How do major LLMs perceive and recommend your brand?

I map your presence across major LLMs, benchmark against competitors, analyze visibility signals, and provide recommendations to improve how AI systems understand you.

2️⃣ COMPETITOR CONTENT INTELLIGENCE  

What content are competitors publishing, and what's driving engagement?

I track and analyze competitor content—topics, formats, hooks, timing, performance patterns—then translate insights into actionable recommendations and content experiments.

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These services work together:
→ AI Visibility = how AI systems surface your brand
→ Content Intelligence = what content strategies work with audiences

Combined, you optimize for both AI-driven discovery and real-world performance.

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WHO I WORK WITH

Hospitality SaaS: PMS providers, revenue management platforms, channel managers, booking engines, guest experience platforms, operations software.

Why hospitality? I graduated from École Hôtelière de Lausanne (EHL), the world's #1 hospitality business school. I understand the industry operationally—night audit, OTA integrations, RevPAR—not just as a marketer.

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WHAT MAKES ME DIFFERENT

I build proprietary AI systems that automate intelligence your team can't replicate:

✓ AI visibility tracking across platforms
✓ Competitor content monitoring and pattern extraction  
✓ Performance analytics tied to business outcomes
✓ Hospitality SaaS-specific data insights

Every recommendation is backed by data from your market, not generic marketing advice.

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If you're making content decisions without knowing how AI perceives you or what content actually works in your space, let's talk.

📧 Currently accepting 2 new partnerships for Q1 2025. DM me.

Ana Palombini 🐝

Oops, I've been MIA from LinkedIn… again.

And I know: "Here's another comeback post."
Blah, blah, blah...

Nope, just hear me out: my disappearance was strategic.
👀 I was seeing a pattern that didn't make sense: 

90% of the blogs I wrote for a client ranked #1 on Google.
Yet their organic traffic kept dropping.

Yes true, people aren't using Google anymore.
They're asking ChatGPT. Perplexity. Claude....

So I had a choice:
a) keep doing what worked in the past and watch it become irrelevant.
b) step back, study what's happening, and build what matters now.

I chose B.

For the past months, I've been building proprietary AI systems with a technical partner that:

→ tracks competitive content across platforms
→ shows where brands appear when buyers research with LLMs
→ delivers insights based on patterns, not guesswork

So I'm not 'just a copywriter' anymore.

I'm building content intelligence infrastructure for SaaS companies that need to know 1) what competitors are doing, 2) where buyers are discovering solutions, 3) and what to do next.

More soon.

P.S.❓ Real question: where do you go first now when you’re researching online: Google, ChatGPT, or somewhere else?

I help hospitality SaaS companies understand their LLM visibility and competitive content landscape through data-driven analysis and strategic intelligence | AEHL

It's 2026... and the SaaS buyer research phase is collapsing.

It used to be: 
Google →  read a few blog posts → visit 5 websites → narrow to 3 → request demos

Now it's: 
Ask ChatGPT → get recommendations → visit 1-2 sites → request demo

Sooo, if you're invisible in LLM search, you might be invisible to modern buyers (scary, I know).

And companies dominating these results aren't lucky. 

They have:
• A strong presence in community forums (i.e. Reddit)
• Comparison content that LLMs cite
• 3rd party reviews and case studies

If AI can’t name you,
buyers won’t find you.

Simple. Uncomfortable. Fixable.

More on how to influence that soon.
Keep tuned.

"Ana, how do you track LLM visibility?"

Here's the system I built: 👇🏻

I test dozens of queries across major LLMs. But not random queries. The exact questions buyers ask when researching [topic] solutions.

For each query, I track:
→ Which brands appear (and how often)
→ Share of Voice comparison
→ What sources AI cites
→ Where the gaps are 

Then I map it. This let's me know where AI pulls answers from.

But here's the kicker:

Most companies are flying blind. They're optimizing for Google while their prospects moved to LLMs months ago.

I'm building this intelligence infrastructure for SaaS companies that need to know:

- How you rank when buyers research with LLMs
- What are competitors doing that you're missing
- What should you do next (ta-daaa)

Want to see where your company stands? 👀

📌 I'm doing 3 free LLM Visibility Snapshots this month. 

Comment or DM "snapshot" to apply, and I'll send details

taplio

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The Battle

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Followers

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Engagements

Likes

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