Use cases
AI for PR teams
PR combines repeatable research with high-context judgment. Automation is strongest in the first category and most dangerous when it impersonates the second.
The marketing constraint to solve first
Teams spend time finding current coverage, matching opportunities, preparing drafts, updating status, and proving what followed. The relationship and news judgment still belong with practitioners.
The first work to put in the queue
- Define the editorial value and evidence for one opportunity.
- Research recent coverage and record individual match reasons.
- Prepare concise drafts without fabricated familiarity.
- Use approval, caps, suppression, and reply stops for Gmail sending.
- Record conversations and placements against the originating opportunity.
A workable operating model
PR leaders own story choice, sensitive claims, priority relationships, embargoes, and responses. Haystack can reduce the research and coordination around smaller focused opportunities.
What to keep out of automation
Avoid broad cold lists, synthetic personalization, automated journalist replies, sensitive crisis commentary, and attribution claims that overstate the effect of one pitch.
How to know the system is helping
Track reviewer acceptance of matches, relevant replies, requests, placements, relationship outcomes, negative responses, and time spent per credible opportunity.
Frequently asked questions
- Does Haystack replace a media database?
- No. It performs focused writer research for a specific opportunity. Comprehensive media intelligence and relationship operations remain better served by dedicated PR platforms.
- Which Haystack job should this team start with?
- Start with the first constraint described on this page. The practical opening sequence is define the editorial value and evidence for one opportunity.
- Does setup require a large marketing stack?
- No. Setup starts with the company domain. Webflow and Gmail can be connected when the team is ready to publish or send.