Ocean.io helps you find your next best customers by understanding companies the way a human would, not just by keywords, but by what they actually do.

That’s where context vectors come in.

In simple terms:
Ocean doesn’t just read a website. It understands it.

A context vector is a way of turning a company website into a meaning-based profile.

Think of it like this:

Instead of scanning for specific words, Ocean creates a “digital impression” of a company based on:

This allows Ocean to recognize companies that are similar in real business meaning, even if they describe themselves differently.

When you enter a company website URL, Ocean does the hard work for you:

No complex setup. Just one URL and relevant Lookalike companies.

Let’s say you enter this company:

👉 www.smartsupport.ai

They describe themselves as:

“AI-powered customer support automation for SaaS teams”

Ocean understands the meaning behind this, such as:

Now here’s the powerful part:

Ocean will also find companies like:

Even if they never use the same wording.

Because they operate in the same world.

Imagine you sell:

👉 AI tools for customer support teams

Instead of manually searching or guessing keywords, you simply:

And instantly, you get a list of companies that are:

Even if they don’t look similar on the surface.

Traditional tools help you find companies that say the same words.

Ocean helps you find companies that mean the same thing.

That means:

Without context vectors:

With context vectors:

This means:

Ocean.io doesn’t just find companies that are generally similar, it lets you refine what kind of similarity matters to you.

This is where filters become powerful.

While context vectors help Ocean understand the overall meaning of a company, filters help you refine the type of companies you want to see (e.g. industry, size, or business model).

A company like IKEA operates across multiple areas, such as:

If you simply search for IKEA as a Lookalike, Ocean will find companies that are broadly similar across its overall business profile.

But if you add a filter, you guide Ocean toward which part of IKEA you actually care about.

Let’s say you enter:

👉 ikea.com

Without filters, Ocean will look for companies that are broadly similar to IKEA as a whole business.

Now you add a filter like:

👉 Industry: eCommerce

Ocean will now prioritize companies that are similar to IKEA specifically in their eCommerce activity, such as:

Even if those companies are not identical to IKEA in every part of their business.

A context vector is a digital representation of what a company means. It captures the essence of a business based on its website content, not just keywords.

No. You can use Lookalikes with just a URL.

However, adding filters helps you refine the type of companies you want to see, making results more focused and relevant.