How We Built a 27-Contact PR List with AI-Assisted Contact Collection
Summary
We built a 27-contact PR list with AI-assisted collection: 18 media contacts (media + startup tags) and 9 PR vendor contacts with real mailboxes like PR Newswire and BusinessWire, then sent in batches — first 7, then 13 — tracking every reply.
Quick answer
Define contact types from your outreach goal (media, PR vendors, startup media), run AI-assisted research to collect candidates with real email addresses, tag each contact by type into reusable address sets, then send in batches and track replies — we built 18 media and 9 vendor contacts this way, sending 7 first, then 13.
Every PR campaign starts with the same boring bottleneck: who exactly are we contacting? Which media actually cover our space? Which PR vendors can get us placements? The first time we did this, it was manual searching and spreadsheet typing for days — and we still suspected we were missing half the field.
The bottleneck: finding who to contact
Before any email gets sent, you need a list. Pure manual research is slow, and coverage is easy to miss: the media that covers food brands sits in a different directory than the startup media, and the PR vendors worth talking to are a third category entirely. The list is the foundation, and ours was built by hand.
The method: AI-assisted collection by type
We switched to AI-assisted collection. The workflow is simple: define the contact types first — food media, PR vendors, startup media — then have the AI research candidates in batches and tag every contact with its type. The output is not one big list; it is several typed lists that can be reused across different outreach tasks.
The numbers from one campaign: 18 contacts in the high-quality media list (media plus startup categories) and 9 contacts in the PR vendor list, including real mailbox addresses for outlets like PR Newswire and BusinessWire. 27 contacts total, organized into reusable address sets.
Two rules that made it work
First, type tags make lists reusable — the same media list later serves a different outreach round without re-research. Second, prefer real emails and highly relevant types; a working inbox beats a guessed one, and relevance beats volume.
Sending in batches, tracking replies
We did not blast all 27 at once. The first batch went to 7 contacts, then the list expanded to 13 in the next batch — and every reply was tracked. Batch sends plus reply tracking keeps a campaign learnable: you see what works before you scale the rest. If a subject line underperforms in the first small batch, you fix it before the larger one goes out.
The reusable checklist
- Define contact types from your outreach goal. Media, PR vendors, startup media — whatever the campaign needs.
- Run AI-assisted research. Candidate discovery in batches, with real email addresses preferred.
- Tag and file into address sets. Type tags keep each list reusable for future campaigns.
- Send in batches and track replies. Start small, expand, and follow every response.
This is the contact-collection flow built into our email outreach automation module — AI-assisted research, type tagging and reusable address sets.
Frequently asked questions
Why tag contacts by type instead of one big list?
A typed list is reusable. The same 18 media contacts served a later outreach round without re-research, because each contact's type (media, startup, vendor) was recorded once and could be filtered for any future campaign.
Why send in batches instead of one blast?
Batching keeps a campaign learnable. We sent 7 first, expanded to 13, and watched replies as we scaled. If something was off — a weak subject line, wrong positioning — the damage was contained and the fix applied before the rest went out.
How do you get real email addresses for PR contacts?
AI-assisted research returns the published, working mailbox for each outlet — for example PR Newswire and BusinessWire listed in our vendor set. The rule we follow: a real inbox beats a guessed address, so we prefer verified published emails over constructed ones.