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:
Email: [email protected]
You can also share problematic chat sessions directly with support to help debug specific workflows faster.













