Welcome to Eye

Your customers don't just search anymore. They ask.

Every day, more of the decisions that used to start with a Google search now start with a question to ChatGPT, Gemini, Claude, or Perplexity — "what's the best CRM for a 10-person team," "is [product] good for X," "compare [brand] vs [competitor]." The AI doesn't show ten blue links. It gives one synthesized answer, built from training data, retrieval, and citations. If your brand is missing from that answer, misrepresented, or simply outranked by a competitor, you lose the customer before a single click ever happens.

That's the shift Eye was built for.

What Eye actually does

Eye runs the real questions your customers ask — about you, your competitors, and your category — across every major AI platform, on a schedule. It turns what comes back into three things you can actually use:

• Visibility — are you mentioned at all, where do you rank in the answer, and how does that change week to week?
• Citation intelligence — which sources and domains are the models actually pulling from when they talk about your category, and where are the gaps you could fill?
• A concrete action plan — not just a dashboard to stare at, but prioritized, specific actions, ranked by expected impact and effort, that you can ship and then re-test to prove they worked.

Built for more than one seat

AI visibility isn't only a marketing metric. It's a product question ("does the AI describe our features accurately?"), a comms question ("is the narrative it's repeating the one we want?"), and a strategy question ("who's winning the recommendation in our category, and why?"). Eye is built so marketing, product, and leadership can each get a view that speaks to what they actually own — not one generic dashboard trying to serve everyone at once.

Where we're headed

This blog is where we'll share how AI answer engines are actually behaving, what we're learning from the runs happening inside Eye every day, and — because we think this matters — exactly how we build what we build, methodology included. If a number matters enough to put in front of you, we want you to be able to see how we got it.

Welcome. Let's see how AI is representing you — and then let's go change it.

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