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Using the Ocean.io Chat Beta

The Ocean.io Chat Beta is a conversational workspace for prospecting, account research, pipeline analysis, and outreach generation, powered by Ocean’s company intelligence, segmentation engine, CRM context, and AI workflows.

Instead of manually building filters, switching tabs, or jumping between tools, you can simply describe what you’re looking for in plain English and let the assistant do the heavy lifting.

Examples:

“Find fast-growing SaaS companies in DACH with 100–500 employees”

“Show untouched high-fit accounts in my top segment”

“Draft outreach for acme.com using my top customers as proof points”

The assistant translates those requests into structured searches, applies your segmentation and CRM context, and returns ranked companies, contacts, insights, and outreach suggestions.

The feature is still in beta, so expect rapid improvements, occasional rough edges, and new capabilities landing regularly.

Accessing the chat

Once enabled on your account, you can access the feature from the left-hand sidebar under Chat.

When opening the chat for the first time, the center panel displays suggested workflows and example prompts to help you get started quickly.

These workflows cover use cases like:

  • Prospecting

  • ICP expansion

  • Account research

  • Inbound lead handling

  • Pipeline reviews

  • Outreach generation

  • CRM workflows

  • Trigger-based prospecting

Selecting any suggestion immediately starts the workflow.

The Prompt Library

Selecting See all prompts opens the full Prompt Library.

This is your central workspace for browsing, running, organizing, and creating reusable AI workflows.

Inside the Prompt Library, you can:

  • Run existing prompts

  • Search prompts by keyword

  • Browse by category

  • Create new prompts

  • Copy prompts

  • Hide prompts you no longer use

Every prompt can leverage your Ocean.io account data, including:

  • Segmentations

  • Leads

  • CRM data

  • Closed-won deals

  • Existing accounts

  • Connected integrations

If your CRM or other integrations are connected, the assistant can use that data to identify ICP patterns, prioritize accounts, compare against successful customers, and personalize outreach.

Curated vs Private prompts

At the top of the Prompt Library, you’ll find two tabs:

Curated

Curated prompts are shared across your workspace and accessible to everyone in your Ocean.io account.

These are ideal for:

  • Team-wide workflows

  • Standardized outbound motions

  • Shared prospecting strategies

  • Repeatable account research processes

Private

Private prompts are only visible to you.

These are useful for:

  • Personal workflows

  • Experimental searches

  • Temporary research projects

  • Individual prospecting strategies

Creating your own prompts

In the top-right corner of the Prompt Library, you’ll find the New Prompt button.

This allows you to create reusable workflows tailored to your sales process, ICP, or prospecting strategy.

You can also organize prompts using categories and quickly locate them later using the built-in search bar.

Each prompt includes:

  • A Run button to execute it immediately

  • A three-dot menu (...) where you can:

    • Copy the prompt

    • Hide the prompt from your library

Starting a new chat

At the top of the left sidebar, you can start a completely new conversation or workflow.

This resets the current context and allows you to launch a fresh search from scratch.

Examples:

“Find B2B SaaS companies in Benelux with RevOps teams”

“Show recently funded fintech companies not yet in our CRM”

“Compare datadog.com to our top closed-won customers”

The assistant then converts your request into structured search logic behind the scenes.

AI Context / Custom Instructions

Below the Prompt Library in the left sidebar, you’ll find the AI Context section.

Selecting this redirects you to:

Settings → Instructions

This section acts as your persistent AI configuration layer.

Here you can define:

  • What your company sells

  • Your ICP

  • Industries to focus on

  • Industries to exclude

  • Buyer personas

  • Regions you target

  • Preferred messaging angles

  • Default assumptions and fallback logic

The assistant automatically applies this context to future conversations, making searches, recommendations, scoring, and outreach significantly more relevant.

Without context configured, the assistant can still work, but responses will be more generic and require more manual prompting.

How the chat works behind the scenes

The chat is more than just a conversational UI.

Under the hood, the assistant translates natural-language requests into structured searches across:

  • Ocean company data

  • Contact data

  • Segmentation models

  • CRM integrations

  • Deal history

  • Hiring signals

  • Technology signals

  • Skills and seniority data

For example, a prompt like:

“Find growth-stage SaaS companies in DACH with HubSpot and RevOps leaders”

may automatically translate into:

  • Industry filters

  • Geographic filters

  • Employee range filters

  • Technology detection

  • Role matching

  • Seniority filtering

  • Segment scoring

The assistant then ranks results based on relevance and fit.

Conversational refinement

Unlike traditional filter panels, the chat maintains conversational context.

This means you can refine searches naturally without rebuilding them from scratch.

Example:

“Find SaaS companies in DACH with 100–500 employees”

followed by:

“Only untouched accounts”

or:

“Now expand to Western Europe”

The assistant updates the existing search while preserving previous filters and context.

Company and account research

You can research individual companies simply by entering a domain.

Example:

“Tell me about acme.com”

The assistant can return:

  • Segment classification

  • ICP fit

  • Contacts

  • CRM presence

  • Similar customers

  • Deal history

  • Outreach angles

  • Scoring explanations

Using domains generally produces more accurate lookups than company names alone.

Finding people and decision-makers

The assistant can also search for contacts using:

  • Job titles

  • Functional roles

  • Seniority

  • Skills

  • Company criteria

  • LinkedIn URLs

Examples:

“VPs of Sales at growth-stage SaaS companies in DACH”

“Marketing leaders in the Nordics with HubSpot experience”

You can even paste a LinkedIn profile URL directly into the chat to resolve the person and associated company.

Outreach generation

The assistant can generate outreach drafts using your account context, segmentation, and closed-won customer patterns.

This includes:

  • Cold emails

  • LinkedIn messages

  • Follow-ups

  • Personalized intros

  • Multi-touch variations

The more context you provide, the stronger the output becomes.

Example:

“Draft outreach for acme.com using our top fintech customers as proof points”

You can then refine the output conversationally:

  • “Make it shorter”

  • “More casual”

  • “Sharpen the hook”

  • “Rewrite for LinkedIn”

  • “Focus on hiring pain”

Chat history and workspace controls

The left sidebar also includes:

  • A search bar for previous conversations

  • Chat history

  • An option to collapse or hide previous chats

This makes it easy to revisit earlier searches, account research sessions, and outreach drafts.

Inside any active conversation, the top-right controls allow you to:

  • Copy the full conversation

  • Share the chat

  • Archive the conversation

This is especially useful for internal collaboration and handoffs.

AI model selection

Inside the message input area, you can choose between multiple AI models depending on speed, reasoning quality, and credit usage.

Haiku

Fastest and lowest credit usage.

Best for:

  • Quick prospecting

  • Basic searches

  • Lightweight workflows

  • Fast account lookups

Sonnet

Stronger reasoning and more contextual understanding.

Best for:

  • Advanced ICP searches

  • Better outreach generation

  • Segmentation-heavy workflows

  • Multi-step research

Uses more credits than Haiku.

Opus

Most capable and highest reasoning quality.

Best for:

  • Deep account analysis

  • Complex segmentation logic

  • High-precision prospecting

  • Advanced research workflows

  • Nuanced outreach generation

This option consumes the highest amount of credits.

Credits and usage

Every prompt consumes credits.

Credits may be used for:

  • AI token usage

  • Search execution

  • Result reveals

  • CSV exports

  • CRM pushes

The credit cost of each response is displayed directly below the AI response after the request has completed.

There are currently no warnings or upfront estimates showing how many credits a prompt will consume before you run it. Because of this, broad or complex searches may use significantly more credits than expected depending on:

  • The size of the search

  • The selected AI model

  • The amount of reasoning required

  • The number of revealed companies or contacts

  • Export actions

  • CRM sync actions

Previously revealed records generally do not consume reveal credits again if already unlocked earlier in the account.

Bring Your Own Anthropic API Key (BYOK)

Ocean.io also supports bringing your own Anthropic API key to power chat sessions.

You can configure this from:

Bottom-left profile menu → Settings → LLM Credentials

Once configured:

  • Chat requests run against your own Anthropic subscription

  • Ocean credits are not consumed for LLM token usage

  • Result reveals still consume Ocean credits normally

  • Your API key is stored encrypted

  • The key is never shown again after saving

This setup is especially useful for:

  • Heavy AI users

  • Teams with existing Anthropic billing

  • Advanced workflows

  • Users who want more control over AI infrastructure costs

  • Custom AI/MCP workflows and integrations

Anthropic billing and token management remain fully on Anthropic’s side.

Results overview panel

The right-hand side of the interface contains the live results overview panel.

This panel displays:

  • Matching companies

  • Contacts

  • Segment matches

  • ICP scores

  • Account summaries

  • Search results

  • Recommended actions

From here, you can:

  • Load more results

  • Continue refining filters

  • Export data

  • Inspect accounts

  • Open contacts

  • Continue narrowing your search

This turns the chat into both a conversational assistant and a fully interactive prospecting workspace.

Tips for better results

Set up your AI Context first

This is the single biggest improvement you can make to search quality and outreach relevance.

The more the assistant understands your ICP and positioning, the better the results become.

Be specific

Detailed prompts generally outperform broad requests.

Example:

“VPs of Sales at SaaS companies in DACH with 100–500 employees”

works much better than:

“Find marketing leaders”

Use domains whenever possible

Domains resolve directly to Ocean entities and improve lookup accuracy.

Refine in the same conversation

You do not need to restart searches.

Simply continue refining naturally:

“Narrow to under 200 employees”

“Only companies not in our CRM”

“Expand to all of Western Europe”

Watch for filter adjustments

If a filter cannot be applied cleanly, the assistant may soften or remove parts of the query.

The chat usually explains these adjustments in the response, so it’s worth reviewing them before trusting large searches blindly.

Support

Because the feature is still in beta, feedback is extremely valuable.

For bugs, incorrect results, broken prompts, or workflow suggestions:

You can also share problematic chat sessions directly with support to help debug specific workflows faster.

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