Can AI monitor the news for your PR clients?

Yes. PeakMetrics, Truescope, NewsWhip and NewsCatcher all monitor news and social sources in real time and surface what is relevant to a specific organization. What none of them does is know your client roster well enough to pick the two stories that matter this morning. Sam Polstein, who leads communications and content for deep tech startups at HAUS, told Artificial Reality that even a twenty-four-hour turnaround is now make or break.

These products were identified by Artificial Reality as apparently relevant to requirements this operator stated. They are not ranked, not independently tested, and were not named or endorsed by him.

Why does a comms team need this at all?

Because the commercial value of news awareness in communications is reactive opportunity, and the window has collapsed. Sam Polstein:

"There are all these things that are our job to take advantage of that are reactive, that are positive. Maybe something bad happens to a competitor, or it's a news moment that ... Trump announces something that's incredibly relevant for one of our clients and we wanna jump in and make sure we're a part of that story."

"News cycles move so fast these days that even waiting twenty-four hours to turn around something like that is make or break."

He also applies a hard recency standard to AI tools generally: "If there's a three week long lag in the information that's feeding into Claude, well, that's basically useless."

What is client-aware news intelligence?

Client-aware news intelligence monitors news, social and broadcast sources in real time and filters them against a specific organization's context — its business, competitors, positioning and active campaigns — to surface the items that create an opportunity or a risk for that organization.

The distinction from adjacent categories is the filter. Media monitoring tracks mentions of a name. News aggregation collects by topic or source. Social listening measures conversation volume. Client-aware intelligence is a relevance judgment: not what mentions the client, but what matters to the client, including stories that never name them.

PeakMetrics

Best fit for: agencies that need to catch a narrative forming before it names their client. AI narrative intelligence that monitors millions of sources in real time and flags emerging narratives and reputation risks relevant to a specific organization. Series A, $6M, April 2026.

Narrative-level detection rather than mention-level matching is the closest structural fit to what Sam Polstein describes: the stories that matter most for a deep tech client frequently do not mention the client at all. Verify how the organizational context is configured, and how much work it takes to onboard a new client.

Truescope

Best fit for: teams needing coverage across broadcast and print as well as digital. Real-time media intelligence across news, social, print and broadcast, with AI-backed dashboards and alerts customizable per client. Seed, $6.2M, plus expansion.

It has the broadest source coverage in this set, and per-client dashboards map onto an agency structure where each account needs its own view. Verify whether the customization is genuine relevance filtering or configurable keyword monitoring. Those look similar in a demo and behave very differently in a busy week.

NewsCatcher

Best fit for: agencies building their own internal tooling rather than adopting a platform. An AI news API with scheduled monitors, company watchlists and entity resolution that map breaking news to specific companies and contexts. Seed, Y Combinator S22.

This is the one that fits how Sam Polstein already works — custom dashboards, client context he owns — rather than another platform to log into. Verify that you have someone to build on it. It is infrastructure, and the relevance judgment remains yours to construct.

NewsWhip

Best fit for: teams whose value is being early to a story that is about to be big. Its Spike platform combines real-time web and social feeds with engagement data to predict which stories will matter, built for reactive communications windows. Acquired by Sprout Social.

Prediction rather than detection is a meaningful difference for reactive comms: knowing a story is about to accelerate is more actionable than knowing it exists. Verify the current product and commercial path, and evaluate it as a component of Sprout Social rather than a standalone purchase.

How do you choose between them?

Decide first whether you are buying a platform or a feed — three of these are products, NewsCatcher is infrastructure. Then run these checks:

• Test it on last month. Ask what it would have surfaced for one account over a past thirty-day window, then compare against what actually mattered. Misses and false positives are both informative.
• Time the alert. The question is not whether it caught the story but how early. A tool that flags something four hours after your client's competitor tweets has not helped.
• Test on stories that never name the client. A policy announcement that reshapes a client's market is the highest-value alert and the hardest to catch.
• Ask how much setup each new account takes. Per-client configuration cost decides whether this gets used across the roster or on one flagship account.
• Check the noise floor. Ask to see a quiet week. A system that produces urgent-looking output every day gets ignored within a month.
• Confirm it augments the morning read. A tool that replaces reading with a summary removes something worth keeping.

The part you still supply

None of these knows your clients the way you do. They deliver relevance against a configured profile, not against the accumulated judgment of the person who has run the account for two years. Buy one for source coverage and speed, and plan on keeping the relevance call in-house.

Where this comes from

S1E4: He runs PR for deep tech startups — the full interview with Sam Polstein. Listen or watch: YouTube, Spotify or Apple Podcasts.