ChatGPT can research one account and write the email. Ocean ranks your whole market from your own won and lost deals, and gives an assistant a market model to work from.
Used by teams at
ChatGPTGeneral research, reasoning and writing, one account at a time.
ChatGPT is OpenAI’s general-purpose assistant. For go-to-market work it researches companies, drafts outreach and connects to tools such as HubSpot and Apollo through a plugin directory.
Ranking your whole market from your own deals, the same way every run, with the reason on each account.
Ocean is contextual intelligence for go-to-market. It reads what every company actually does from its own website, learns what good looks like from your closed-won and closed-lost deals, and ranks your whole market against it, with the reason behind each score. The ranked accounts arrive in your CRM, your rep queue or your AI agents.
What buyers weigh, grouped by the job each part does. A green check marks the stronger side.
| Topic | Ocean.io logo Ocean | ChatGPT |
|---|---|---|
| Finding the right accounts | ||
| Lookalikes from your closed-won deals | Ocean is stronger here. Core of the product. Segments and models learned from your won and lost CRM deals. | Can analyze an export you upload. It keeps no maintained ICP model between chats. |
| Market coverage | Ocean is stronger here. 85M+ companies, ranked as a whole market. | Web search returns top results, not a complete market, and there is no company database behind it. |
| Same answer every run | Ocean is stronger here. The same inputs give the same ranking. | Answers vary between runs and prompts. |
| The reason behind each account | Ocean is stronger here. Segment, score, tier and matched signals on every account and every export. | Explains its reasoning, but not against a verified fit model. |
| Contacts and data | ||
| Contacts | Ocean is stronger here. Verified emails and direct phones from a waterfall across 16+ data sources. Charged only when a contact is found, and exports are free. | Only through other vendors’ plugins, such as Apollo. |
| How it understands a company | Ocean is stronger here. Reads what each company does from its own website. | Strong on one company at a time. |
| Workflow and pricing | ||
| Plugins and MCP | An MCP server and public API that AI assistants can use. | A plugin directory built on MCP, with plugin ranking and automations since DevDay 2026. |
| Pricing | Ocean is stronger here. Two ways to buy: a flat-rate plan with credits included, or a custom plan built around your deals and credit volume. | Plus is $20 a month. Companies report a $108,600 median across OpenAI contracts, and Enterprise is custom. |
Individuals pay $20 a month, but companies pay far more. Across 186 OpenAI contracts, which include ChatGPT Enterprise and the API, buyers report a $108,600 median.
Median OpenAI contract
$108,600 a year
Half of buyers pay less than this and half pay more, across 186 purchases.
Enterprise buyers are putting ChatGPT in front of their teams, and OpenAI’s September 2026 plugin directory makes the data source an assistant reaches for a distribution channel. Ocean doesn’t replace the assistant a company buys. It’s the account data layer the assistant draws on, through MCP and the API.
A flat-rate plan with credits included, or a custom plan built around your deals.
Contacts are charged only when one is found. Exports are free.
See Ocean pricingChatGPT can write the email. Ocean decides who to send it to.
Choose ChatGPT if Ocean.io logo Use both ifFive steps. Most teams keep their assistant and add Ocean as the market model behind it.
Keep the prompts and lists your team uses today, so you can compare the output with Ocean on the same accounts.
Choose one territory or segment to run through both, and note how many accounts the lists share.
Connect HubSpot, Salesforce, Pipedrive or Attio. Ocean reads your closed-won and closed-lost deals to learn what a good account looks like.
Ocean proposes segments and scores, with the reason on each. Correct anything that doesn’t match how you sell.
Scores, segments and matched signals go back to your CRM, or into Apollo, Instantly or Lemlist sequences.
The right alternative depends on what you use ChatGPT for. Here’s what each is built for and where Ocean starts.
ClaudeBuilt for Reps and GTM engineers who research, write and build workflows with a general AI assistant.
Where Ocean starts Ocean gives the assistant a ranked, market-wide account model through its MCP server.
GeminiBuilt for Teams that already run on Google Workspace and want an assistant inside it.
Where Ocean starts Ocean gives Gemini a ranked, market-wide account model to work from.
PerplexityBuilt for Researchers and reps who want cited, real-time answers from an AI answer engine.
Where Ocean starts Ocean gives the assistant a ranked, market-wide account model it can use through MCP.
GrokBuilt for Teams that research and write with xAI’s assistant and its connectors.
Where Ocean starts Ocean supplies the company model and ranking an assistant doesn’t have on its own.
ClayBuilt for GTM engineers who assemble custom enrichment and research workflows from many data sources.
Where Ocean starts Ocean starts from your closed-won deals and ranks the market, instead of a build.
Short answers on what ChatGPT costs, where it stops for targeting, how Ocean compares and how to use them together.
It can brainstorm companies and research them one at a time. It has no company database and keeps no ICP model between chats, so lists vary between runs and can include companies that don’t fit.
Plus is $20 a month and Business seats are $20 to $100, but companies pay much more. Buyers report a median of $108,600 a year across 186 OpenAI contracts, which include ChatGPT Enterprise and the API, according to Vendr.
Ocean offers an MCP server and a public API that AI assistants can use, so their answers can come from a ranked, market-wide account model instead of a web search.
A general model answers from the prompt and from whatever search surfaces, so the same question can return different companies. Ocean ranks a fixed market against your ICP, so the same inputs give the same ranking.
ChatGPT can cluster the attributes you give it, such as industry, headcount and tech stack, and it’s useful for testing an ICP definition. It isn’t built around a vector representation of every company in a market, or a similarity search over them, so it can miss companies that behave like your best customers but look different on the surface. Ocean provides that data layer, and an assistant can use it through Ocean’s MCP server.
Ocean reads what each company does from its own website, learns from your closed-won and closed-lost deals, and returns ranked matches with the reason on each one.
Connect your CRM so Ocean reads your won and lost deals, review the segments and scores it proposes, then let your assistant work from the ranked accounts.
