Most products fail because they ignore the messy reality of how people actually use them. I help you create products that work by understanding the overall system, designing for  behaviour, emotions and people’s real context. 

Most importantly, I think about risk - always.

I’ll help you see what can go wrong to users and the business, so we can mitigate it and make informed trade-offs (rather than nasty surprises)

Here’s how I help you:

🤝 If you're a potential client:
→ UX Audits: analysing your product and identifying opportunities
→ Fractional design and research support that drives business, and user impact
→ Clarity on strategic direction and vision 


📕 If you're here for my content, I write about: 
→ How to consider the *overall* experience
→ Connecting design impact <> business impact
→ Identifying different types of risk (and mitigate it)
→ Designing for how people *actually* use things by considering context, behaviour and emotions 
→ Tips to help along your design processes

I'd love to hear about how I can help you. Drop me a message on LinkedIn, or send an email to: hello@ampersandco.studio

And if you don't have a project, I'm always down for a coffee chat!

Emily Anderson

Issue #1 of Beyond the Happy Path newsletter is live!

This one is all about Churn. It’s not the sexiest thing, I know

It's easy to assume that when people stop using our products and services it's because they *wanted* to. We focus on reasons like: they didn’t see value or it’s too expensive

But that’s not always true.

Sometimes people leave because they had no choice. They leave because they *have* to:

Maybe their ability changed and they can't use it anymore. Maybe they're struggling financially and can't afford it right now. Or maybe someone passed away.

In this issue I dive into:

➡️ Why we need to think about churn in terms of “wanted to” vs “had to” reasons (i.e voluntary, involuntary, and situational churn)

➡️ Real examples that can help to reduce churn

➡️ Ideas for how you can start considering it in your process

Incase you missed it, you can read the post in the link below (and subscribe for future issues too  👀)

https://lnkd.in/ef9CMEAE
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It's very early days of the newsletter and I'm not going to pretend to have it all figured out. So if you've got any feedback of what you want to see more / less of, I'd love it here it!

Designer | Reducing risks to users and businesses | Founder, Ampersand | Speaker

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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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);}Emily Anderson's LinkedIn Performance

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