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Automated PR Outreach.

Earn media coverage without a research team. Our AI monitors news cycles and drafts relevant pitches for the right journalists; a person on your side approves and sends every one.

Last reviewed 4 September 2026 · Engineering guidance, not legal advice.
PR AUTOMATION CAPABILITIES
01

Newsjacking Algorithms

The system monitors public news feeds, wire services and licensed social-listening APIs. When a breaking story aligns with your expertise, it alerts you with a drafted comment ready for you to approve.
02

Hyper-Personalized Pitching

We don't blast press releases. The AI reads a journalist's recent articles and drafts a contextual three-sentence pitch, which your team reviews before it goes anywhere.
03

Source-Request Monitoring

Watch source-request platforms such as HARO, Qwoted and Featured — verify which are active in your market at build time. The AI drafts expert commentary on relevant queries within seconds of them being posted, for you to approve.
04

Media List Management

Maintain your media list from published bylines and licensed sources, tracking beat changes and recent coverage. Journalists are data subjects: contacts carry an opt-out, and we help you document the legitimate-interest basis and the Article 14 notice.
PR INTELLIGENCE ARCHITECTURE

How AI Automates PR: From Journalist Discovery to Newsjacking at Machine Speed

Traditional PR operates on relationships, intuition, and an extraordinary amount of manual labor — researching journalists, crafting pitches one at a time, and hoping your email lands at precisely the right moment. Automation removes most of that labour without removing the person. We engineer outreach systems that identify the right reporter and draft pitches from their recent coverage, timed for when they are most likely to read them — and then hand the draft to your team, who approve and send it.

The system begins with journalist intelligence gathering. Our AI continuously indexes bylines across thousands of publications, tracking each journalist's beat, publication frequency and the subjects they return to. When you need coverage for a product launch, funding round or thought leadership piece, the system queries that index to surface reporters actively covering your vertical rather than a static media list. This is targeted outreach, not spray-and-pray. It is also profiling of identifiable people, which is why the media list is built from published bylines and licensed sources, carries an opt-out in every message, and comes with the transparency notice the GDPR expects.

The hyper-personalized pitching engine is where the real leverage occurs. Each pitch is drafted by analysing the journalist's recent published articles, extracting the themes and angles they favour, then framing your story accordingly. The result is a three-sentence pitch grounded in what that reporter actually writes about. We measure response rate against your existing outreach rather than against an industry blast figure we cannot source.

Then there's newsjacking — the art of inserting your brand into breaking news cycles. The monitor watches public news feeds, wire services, Google Trends and licensed social-listening APIs. When a story breaks that aligns with your domain expertise, the system drafts expert commentary, identifies the journalists covering it and puts a timed pitch in front of your approver within minutes rather than the next morning. The window is narrow; the machine closes the research gap, and a person still decides what goes out.

HOW IT DEPLOYS
PHASE 01

Index the media graph

The AI indexes published bylines and licensed sources to map who covers your vertical — beats, cadence and recurring subjects.

PHASE 02

Pitch with precision

Three-sentence pitches are drafted from each reporter's recent work, queued for your approval and sent when they are most likely to read them.

PHASE 03

Newsjack in real time

Breaking-news monitors put an expert commentary draft in front of your approver within minutes of a relevant story landing.

DESIGN TARGETS
0
MESSAGES SENT WITHOUT REVIEW
15min
NEWSJACK REACTION TIME
1
APPROVER BEFORE ANY SEND
100%
OUTREACH LOGGED AND ATTRIBUTABLE

Properties we design and build to, not measured client outcomes.

QUESTIONS
QUESTIONS — 6

Our system continuously indexes bylines, social profiles, and publication patterns across thousands of media outlets. It builds a profile for each journalist from that published work — beat, recent topics, publication frequency. When you need coverage, the AI queries it to surface reporters actively covering your vertical. Because these are identifiable individuals, the list is built from published bylines and licensed providers, every message carries an opt-out, and we help you produce the GDPR Article 14 transparency notice and honour objections.

Newsjacking is offering your brand's commentary on a breaking story to earn coverage. AI enables it by monitoring news feeds, wire services and licensed social-listening APIs, drafting expert commentary and putting a pitch in front of your approver within minutes of a story breaking — closing the research gap that makes a human team miss the window.

Each pitch is individually crafted by analysing the journalist's most recent articles, extracting their preferred themes, narrative style, and editorial angle. The system then frames your story using language and structure that mirrors their writing approach. The result reads like a pitch written by someone deeply familiar with their work — because the AI has algorithmically studied it in detail.

Nobody can promise editorial coverage, and any agency that does is selling you something. What the system changes is throughput and relevance: more researched, genuinely targeted pitches per week, sent continuously rather than in campaign bursts. We measure response rate and time-to-coverage against your own baseline and report both. Whether a journalist writes the story remains their decision.

They are AI-drafted and human-approved, and we recommend saying so where a journalist asks or where your relationship warrants it. Article 50 of the EU AI Act also pushes towards disclosure of AI-generated text in several contexts. The practical argument is simpler than the legal one: journalists who discover concealed AI outreach tend to blacklist the sender, and a pitch that is genuinely relevant loses nothing by being honest about how it was drafted.

It replaces a specific part of the work: journalist discovery, first-draft pitch writing, source-request monitoring, newsjacking research and follow-up scheduling. It does not replace relationships, editorial judgement, crisis communications or media training, and a good PR team is worth its retainer for exactly those things. Most clients pair the system with human counsel — the engine handles volume and research; people handle judgement and the phone call.

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narrative.

Build an in-house engine that finds the right journalist and drafts the pitch, so your team spends its time on the conversation.

CASE STUDIES

Shipped work.
Go and check it.

The work we can name, with the live site, our scope and the boundary made explicit. Select a project to see the evidence; each is a full case study, not a logo or a claim.

sonora.com
The Sonora homepage on desktop: a full-bleed dune landscape behind the headline “Transform Your Life with Sound”, with App Store and Google Play download buttons.
sonora.com — homepage, 1440×900 sonora.com →
Live Consumer wellness · Mobile + web

Sonora

Cognitive AI Ltd · 2026

A free sound-wellness app, described by its publisher as AI sound therapy that reads a short vocal sample at the start of a session and generates a soundscape for that moment. We designed and built the website and its backend, produced assets for the iOS and Android apps, and supported the application prototype.

Read the case study →

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WHO WE HAVE BUILT FOR

Twenty-one years of applications, platforms and campaigns for names you know.

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