The VCs Surprised Me First

The first thing that surprised me was the VCs.

I scanned 357 companies backed by the top five VC firms in tech. These are the people investing in the future. They're funding AI companies. They're writing blog posts about agentic commerce. They're hosting conferences about the AI web.

And when we measured for the complete AI visibility stack, not a single company had everything they needed.

I thought I was in an alternate reality. How can the people who write the checks I'm hoping to get not have their portfolio companies' houses in order? Household names in tech — all failing. AI companies that build the models can't even be found by the models.

Out of all the VC firms we studied, one stood out. a16z.com scored an 89 SimpleScore — the highest of any firm in our audit. That told me two things: the problem is solvable, and the firms paying attention are already ahead. But even at 89, there's room to improve. Nobody's at 100 yet.

That made me more bullish. If the best-funded companies in tech haven't solved this, the problem isn't awareness. The problem is that nobody built the measuring tool. Nobody showed them the gap. So I did.

The Conversation That Made Everything Click

The most frustrating thing I faced was the people closest to me not seeing what I was seeing. Friends, family, potential investors — they'd listen, nod, and then say something that told me they didn't get it.

That's when I realized I was on to something.

One day I had a conversation with a potential investor. He told me that his advisor — a big brain deep in AI research — said it's impossible to extract data from LLMs. You can't know how many times a brand gets mentioned inside these models. And he's right. You can't.

But that's exactly why I'm on to something. I'm not trying to measure what's inside the black box. I'm measuring what's outside it — the infrastructure that determines whether the black box can find you in the first place. The pet rock was a hit and everyone said "why didn't I think of that." Sometimes the obvious thing is the thing nobody sees because they're too busy overcomplicating it.

Then another lightbulb hit. People are stuck thinking the old way. I need to rank. I need to be number one. This LLM likes me more than that one. They're applying search engine logic to a world that doesn't run on search engines anymore.

The old web was about ranking. The AI web is about selection. The difference is everything.

Ranking means competing for position on a list that humans scroll through. Selection means an AI agent evaluates your structured data and either includes you in its answer or it doesn't. There is no page two. There is no "close to the top." You're either in the answer or you're invisible.

The correct way to think about AI visibility is not "how do I game the algorithm." It's "how do I help agents deliver information about my business with less hallucinations and more accuracy." When your infrastructure is clean and your data is consistent — agents don't have to guess about you. They know. And when they know, they recommend you.

The Wild West

Right now the AI visibility space is the wild west. Everyone's claiming to measure it but nobody agrees on what it even means.

Some tools spam brand names into ChatGPT and call it analysis. Some prompt AI models thousands of times and measure responses that change daily based on model version, training data freshness, and prompt phrasing. Some just check if you have schema and call it done.

None of that is a diagnostic. It's guessing with confidence. The results aren't deterministic — run the same test tomorrow and you'll get a different answer. That's not measurement. That's noise.

Here's what we know is real. Google's own AI — Gemini — confirmed that structured data is a "selection factor" for AI engines.

This directly contradicts Google's public PR line that structured data doesn't affect visibility. Their own AI said it does. We have the receipts.

The industry needs to stop measuring outputs that change every day and start measuring inputs that are deterministic and fixable. Either your infrastructure is there or it isn't. That's a yes or no answer, not a maybe. That's what SimpleScanAI does.

What Most People Get Wrong

The biggest misconception is that AI visibility is a single fix. Add one file and you're done. Deploy some schema and move on.

It's not that simple. AI visibility is a stack — multiple layers of infrastructure that work together. Get one layer right and miss another, you're still invisible. We've seen AI founders with protocol files deployed score 49 because they were missing schema. We've seen brands with perfect structured data score low because they had no protocol files. The layers depend on each other.

That's why a score matters more than a checklist. A checklist gives you a false sense of completion. A score tells you the truth — how visible you actually are across the full stack, measured against what AI agents need today, not what SEO blogs told you last year.

The Elephant in the Room

There's something nobody wants to say out loud so I'll say it.

People are trusting tools and tactics that feel productive but don't move the needle. They're paying for GEO cruises, Reddit spam strategies, and AI mention reports while their websites are missing the basic infrastructure that AI agents actually need.

The gap isn't awareness. Everyone knows AI is changing search. The gap is that the loudest voices in the room are selling the wrong solution. They're selling the old web dressed up in new clothes.

I'm not an SEO guru scrapping for survival. I'm not a white hat consultant selling a course. I'm a founder who built a product because 33 million small businesses in America don't know this problem is affecting their business right now. They're losing customers every day to competitors who show up in AI answers and they don't even know why.

I value their time. That's why we don't just diagnose — we fix. And we don't just fix — we monitor. SimpleScanAI measures your AI visibility, deploys the fixes you need, and watches your score so you don't have to.

Ranking Is the Old Web. Selection Is the AI Web.

The window is open. It won't stay open forever. Every month that passes, more of your competitors get visible, more consumers shift to AI-powered discovery, and the cost of waiting goes up.

SimpleScanAI exists to make sure you're not the business that gets left behind. We like to look at ourselves as the onramp to agentic commerce.

Check your score. See where you stand. Fix what's broken.