TL;DR: PR News Digest is a daily news intelligence product with one feature most media monitors don't have: a one-click "Comment" button beside every news item that hands the article off to a multi-agent comment generator and returns a publish-ready comment in your principal's voice in approximately 55 seconds. The point isn't faster monitoring — visibility is already a solved problem. The point is closing the one-to-three-hour drafting gap that pushes PR teams into reactive, second-wave coverage. Built for our own agency, now available for other PR teams.
PR was supposed to be a proactive function. The standard playbook says: see a story breaking, place your principal as a commenting voice in the first wave, shape the narrative as it forms.
The reality on most desks looks different. Mornings start with monitoring tools quietly delivering headlines. Then the wait — for a journalist's email asking for comment. Once the email lands, the team rushes: pull background research, draft in the principal's voice, route for sign-off, send. By the time the comment goes out, the story has run its first cycle and a competitor's spokesperson has been cited as the lead voice.
This drift to reactive isn't laziness. It's the result of a tooling gap nobody's named clearly. Existing tools split the workflow at exactly the wrong place.
The diagnosis: visibility is solved, drafting is broken
If you ask a PR director "what's slow about your morning?", the answer is almost never "we can't see the news." Modern media monitors — Meltwater, Mention, Cision, the long tail of niche tools — surface stories well. The team sees what's happening, when it's happening.
The break is the next step. From "I see a story worth commenting on" to "comment in the journalist's inbox" usually runs one to three hours: pull background research, draft a comment that actually sounds like the principal (not generic, not ChatGPT-flavoured), route through internal review, send.
By then the journalist has closed their first round of source-gathering. Your principal's comment, even when it's strong, lands in second-wave coverage at best. The first-wave voice — the one quoted in the lede — went to whoever responded fastest, not whoever had the most insightful position.
That's the gap PR News Digest closes.
What we built
PR News Digest is a daily news intelligence product with one feature most monitors don't have: a one-click handoff from "I see this story" to "publish-ready comment in my principal's voice."
We built it for our own agency after a year of watching our PR team lose first-wave citations to faster competitors despite having stronger spokespeople. Now it's available for other PR teams running the same playbook.
The digest itself
The digest is intentionally unremarkable. Each weekday morning, the dashboard shows a structured summary of the day's news from a curated whitelist of trusted publishers — sources configured to match your agency's coverage scope. Stories are categorised by your active topic templates, deduplicated across categories, ranked by relevance.
Two design choices that matter operationally:
The source whitelist is a hard contract. Publishers aren't suggested to the underlying model as a soft prompt hint — they're enforced as a post-filter on every result. If a story comes from a domain not on the list, it's dropped regardless of how relevant the model thought it was. Suffix-aware matching, so subdomains route correctly. The practical implication: when a client asks "what do you actually monitor on our behalf", you can show them an auditable contract. Same sources every weekday, no exceptions, full audit log.
Query templates are configurable from a web UI. Categories — "fintech regulation", "consumer health policy", "luxury sector trends", whatever maps to your client base — live in a settings table editable by anyone with admin access. New client niche, new template, next morning's digest already includes it. No engineering ticket, no redeploy.
The "Comment" button
This is where the product becomes more than a media monitor.
Beside every news item in the dashboard is a "Comment" button. One click hands the article off to our multi-agent comment generator — a 49-node pipeline we shipped last year. Background research on the story, draft generation calibrated against the speaker's voice profile, a humanisation pass that strips telltale AI markers across two dozen categories, automated compliance review against length, tone, and forbidden phrases.
Output: a publish-ready comment in your principal's voice, with the right length and register for the target publication, in approximately 55 seconds.
The full loop, in calendar time:
| Time | Event |
|---|---|
| 09:30 | Story published |
| 10:00 | Story appears in your digest |
| 10:01 | PR manager clicks "Comment" |
| 10:02 | Form opens with article URL pre-filled; manager picks the speaker |
| 10:03 | Generation starts |
| 10:04 | Comment ready |
| 10:06 | After a quick read-through, comment is sent to the journalist |
Six minutes from publication to outreach. Not three hours.
That's the structural change. Not "save morning time" — that's the boring version. The real change: your principal becomes a first-wave commentator on stories that match your topic strategy, while everyone else is still queueing through their drafting cycle.
What changed for our agency
We've been running the full pipeline internally for two months. The metric we watched wasn't morning-time-saved — that's a vanity number that doesn't translate into client value. We watched comments sent to publications by 11:00 each morning and share of those that landed in first-wave coverage.
| Period | Comments sent by 11:00 / week | First-wave citation rate |
|---|---|---|
| Before Digest | 1–2 | 18% |
| With Digest | 8–11 | 47% |
First-wave citation rate is the share of published stories where the speaker is quoted in the first or second paragraph, as one of the core voices on the topic. Before the digest, we usually arrived later in the cycle — comments accepted, but as the third or fourth voice in a longer piece. With the digest, the principal is reaching journalists while they're still defining the story's structure, not after.
For the client, those are different products. The first reads as "we get mentioned sometimes." The second reads as "we shape the conversation." Different products in scope reviews, different products at renewal time.
Why integration is the moat, not the AI
A reasonable reaction to this post: "we already have a media monitor and ChatGPT — couldn't we wire something similar ourselves?"
You could. The question is whether you should, and what breaks when you try.
Three things compound when the news layer and the drafting layer share infrastructure rather than living in two tools:
1. Speaker profiles are pre-trained, not re-described per session. Every time a PR manager pastes an article into a generic chatbot, they have to re-describe who's commenting, in what tone, for which publication. The first 200 tokens of every prompt are the same context. In the digest, speaker profiles are stored objects — calibrated against published comment archives, refined over months of use. Every "Comment" click loads the right profile automatically.
2. Compliance review is automated, not a vibes check. Every generated comment passes a compliance pipeline: length bounds for the target publication, AI-marker detection, forbidden-phrase scanning, tone consistency against the speaker's archive. None of that exists in a generic chatbot flow. Without it, the PR manager either skips the check (and ships AI-flavoured text) or runs it manually (and loses the time savings).
3. The audit trail is one trail. When the journalist replies, the comment is approved, the story is published — every artifact links back to the originating news item, the speaker profile version, the prompt template, the model version. One join, not three. This matters during quarterly client reviews when you need to demonstrate how PR work tied to specific outcomes.
The AI is commodity. The integration is the moat.
Who this is for
Not every PR team. Worth a conversation if:
- Your principals are positioned as expert commentators, not just press-release issuers. The product's value is in the speed-to-cited-comment loop, which only matters if cited commentary is part of your client strategy.
- You bill on outcomes, not hours. Agencies on retainer with deliverables tied to media presence can monetise the first-wave shift directly. Agencies billing hourly will see the time savings but lose the revenue upside.
- Your team has a defined morning rhythm. Someone is supposed to be reviewing media news between 09:00 and 10:00 anyway. The digest replaces a manual scan; if there's no scan today, the workflow change is bigger.
- You need an auditable source contract. Being able to say "we monitor these specific publications, every weekday, no exceptions" is a statement clients ask for in scope reviews and renewals.
Not worth it if media monitoring at your agency is informal and your team scans headlines twice a week.
What's next
The current product covers a default source set we use ourselves. Two extensions are queued:
- Vertical source packs — curated publisher whitelists by sector (fintech, consumer health, luxury, B2B tech, regional press)
- Output integrations — Slack, email, RSS, and team chat channels are live; CRM modules are next
All packs follow the same contract model: hard whitelist filter, suffix-aware matching, full audit log.
If "first-wave citation rate" is a metric your principals would benefit from improving — book a 15-minute demo. We'll walk through the live dashboard, run the "Comment" button on a recent story with a sample speaker profile, and discuss the source pack and query templates that fit your agency.
