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My Contact Form Received an Unexpected Message. Here's What It Taught Me About LLM Visibility.

Blog hero image showing a single gold envelope standing out among rows of navy envelopes, representing signal versus noise in LLM visibility and online discoverability.

This week, I received an inquiry through the contact form on my website.


The message came from someone claiming to represent a well-known fashion brand. They were looking for support with CRM, email marketing, marketing automation, retention, and growth strategy.


At first glance, it looked promising.


As someone building a consulting practice, those are exactly the types of conversations I hope to have.


But something felt off.


The email domain didn't quite match the company's official website. The message was generic. There was no mention of my content, my website, or any specific reason they had reached out. There were enough questions that I decided to pause and do some verification before responding.


After looking more closely, I'm fairly confident the outreach wasn't legitimate. But I've also reached out to the company directly through its official channels to confirm.


Either way, the experience got me thinking about something I hadn't fully considered.


Visibility has a side effect.


For the past several weeks, I've been running a public experiment on LLM visibility. The goal is simple: understand what it takes for a small business to become more discoverable in AI-generated answers and recommendations.


I've been documenting the process openly.


The changes I've made include structured data updates, directory listings, content publishing, entity development, and other foundational work designed to help search engines and AI systems better understand who I am, what I do, and how NextWise Studio fits into the broader marketing ecosystem.


Some of the early signals have been encouraging


  • AI crawler activity has increased

  • Third-party visibility tools show improvement

  • My brand appears more consistently in AI-generated responses than it did when I started


And now I'm getting more contact form submissions.


Whether that person turns out to be a potential client, a bot, a scammer, or something in between, the fact remains that they found it.


That realization led me to an important lesson.


When we talk about visibility, we usually focus on the upside:


  • More traffic

  • More awareness

  • More leads

  • More opportunities


What we don't talk about as often is that visibility doesn't discriminate.


When you become easier to find, everyone can find you:


  • Potential clients can find you

  • Recruiters can find you

  • Partners can find you

  • Competitors can find you

  • Bots can find you

  • Scammers can find you


The signal and the noise arrive together.


In some ways, that's a good problem to have.


You can't filter opportunities that never arrive.


But you can create a process for evaluating what comes through the door.


For me, that process looked like slowing down and asking a few basic questions:


  • Does the email domain match the organization's official website?

  • Does the message reference my work specifically, or could it have been sent to hundreds of people?

  • Does the request make sense given the size and sophistication of the company?

  • Can I independently verify the sender before engaging further?


None of those questions require advanced cybersecurity knowledge. They simply require a willingness to pause before reacting.


Ironically, I spent the first half of my career in cybersecurity marketing. I understand social engineering tactics. I know how trust can be manufactured. I know how easy it is for recognizable names to lower our defenses.


And yet, my first reaction was still excitement.


That reaction taught me something too.


The best scams don't prey on ignorance. They prey on hope.


The hope of landing a new client.


The hope of being recognized.


The hope that your hard work is finally paying off.


That's why verification matters.


But stepping back, the bigger lesson wasn't really about scams.


It was about evidence.


When you're running an experiment, you're looking for signals.


This inquiry may not have been the signal I expected.


But it was a signal nonetheless.


Something has changed.


Mpre people are finding my website.


The next challenge is learning how to separate the opportunities from the distractions.


As I continue documenting this LLM visibility experiment, that's a lesson I'll be paying closer attention to.


Because visibility is not the finish line.


Visibility is simply the point where the conversations begin.

 
 
 

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