How to Use Hunter with Claude for Prospecting
An AI assistant on its own is quick to reason but has nothing to reason over.
It can talk about your ideal customer in the abstract, but it cannot name the companies that fit, find the people who make decisions there, or tell you whether an email address is safe to send to.
Give it Hunter's data and that changes. The same assistant now works from your real wins, returns named and verified people, and leaves you with something you keep and come back to.
This AI GTM walkthrough covers using Hunter in Claude for your prospecting.
You connect Hunter to Claude as a custom connector, which is a remote MCP connection. It works on the Free, Pro, and Max plans. On the Free plan Claude allows a single custom connector, so Hunter can be the one you add.
If you have not connected Hunter to Claude yet, do that first, then come back and follow along.
Let Claude work out your ICP from your wins
Whether you've defined an ICP or not, you can skip that step and let Claude infer the pattern from customers you have already closed, then act on it in the same message.
Because Claude reasons before it fetches, it works out what your wins have in common, describes that profile back to you so you can sanity-check it, then queries Hunter for companies that match.
The list you get is built from your own closed deals.
Try: "Here are the customers we've closed: [list your domains]. Work out the ICP they share, then use Hunter to find companies that match that pattern."
Claude infers your ideal-customer profile from past wins, then pulls matching companies from Hunter.
Score and rank the whole list
A list of matches is only useful once you know where to start. Because Claude holds the whole list in its context window, it can weigh every company against the profile at once rather than one row at a time, and explain each call.
Ask it to score and rank, and the prioritization comes back with a reason attached to each position, so you can push back on any ranking instead of trusting a score you cannot see into.
Try: "Score all of them against that ICP from 1 to 10 and rank them, with a one-line reason for each score."
Claude scores and ranks every company against the profile, with a reason behind each position.
Build decision-maker lists with emails you trust
A ranked list of companies still is not a list of people you can email.
This is a critical step where you can use Hunter's data in Claude: it turns each company into named decision-makers with verified email addresses and a confidence score.
Even better, Claude will draw your attention to any gaps. When an address fails verification it is flagged or left out rather than passed through, and when Hunter has nobody indexed at a company Claude says so instead of inventing a name.
You end up with a list you can send to and where you need to research further.
Try: "For the top companies, use Hunter to find the decision-makers in [the roles you sell to] with their verified emails."
Hunter turns each company into named decision-makers with verified emails, and flags the ones it cannot confirm.
A hook that fits every contact
You now have people worth contacting, and generic outreach wastes that.
Because Claude knows each contact's role and what their company does, it can draft a first line that fits the person rather than a mail-merge template.
Then, instead of leaving you with a wall of text, you can ask it to consolidate everything into something you can actually work from.
Try: "For each contact, write a one-line outreach hook based on their role and what their company does. Then turn this into an interactive account-scoring sheet I can reopen and reuse."
Claude writes a hook that fits each contact, then starts pulling the results into a tool.
Your reusable account-scoring sheet
Here an agent does something a plain chat window cannot.
Instead of a reply you copy out and lose, Claude builds an interactive sheet: every account with its score, its contacts and their verified emails, and editable fields for priority and status.
You can sort it, export it, and reopen it later with your edits still in place.
The workflow becomes a tool you turn into a process for easier repetition.
The finished artifact: scores, verified contacts and editable status per account, in a board you can reopen and reuse.
Where to go from here
That is one prompt turning into a scored, contactable, reusable pipeline.
Hunter brought the companies, the verified emails, and a straight answer about the gaps, and Claude helped you turn this into a process
Ready to try it? Connect Hunter to Claude and run the first prompt against your own wins.
Prefer a different assistant?
- Run the workflow using the Hunter ChatGPT app
- Run the workflow using Hunter in Perplexity.
For the full picture, see our Hunter and AI assistants hub.
Frequently asked questions
Which Claude plans can connect to Hunter?
The custom connector works on the Free, Pro, and Max plans. On the Free plan Claude allows a single custom connector, so you can make Hunter the one you add.
Do I need to write an ICP brief before I start?
No. Claude can infer the shared profile from a handful of customers you have already won, then use Hunter to find companies that match it.
How do I know the email addresses are safe to send to?
Hunter verifies each address and returns a status and confidence score, and it flags or drops the ones it cannot confirm rather than passing bad data through.
Is the account-scoring sheet a one-off, or can I reuse it?
It is a reusable artifact. You can sort it, export it, edit the priority and status of each account, and reopen it later with your edits still in place.