Detect news that could sway buyers before it hits your pipeline

Monitors news alerts, predicts how each story affects buyer interest, and warns you before it impacts your sales.

How the work actually flows

It branches. Exactly one path is taken; runs once per each ai persona.

Pattern: Exclusive Choice (4) · Multiple Instances without Synchronization (12)

flowchart TD trig(["scheduled RSS feed check"]):::trigtime s0["Check feeds for new articles"]:::task s1["Pull full article text"]:::task s2[["Simulate buyer reactions with personas"]]:::mi s3["Tally purchase intent score"]:::task s4["Send early warning email"]:::svc trig --> s0 s0 --> s1 s1 -->|"one per each AI persona"| s2 s2 --> s3 gx{"× Score crosses threshold"}:::gate s3 --> gx p00["Send warning email"]:::task gx -->|"Threshold crossed"| p00 p10["No alert sent"]:::task gx -->|"Below threshold"| p10 p00 --> s4 p10 --> s4 out[/"early warning on buyer sentiment"/]:::out pay{{"act on news before competitors do"}}:::pay s4 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceRuns once per itemOne path onlyResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Email AutomationResearch & Market IntelligenceSecurity & Compliance
Connects
Google AlertsGmail

The problem it solves

By the time you notice a news story is shifting how buyers feel about your category, competitors may already be capitalizing on it or the damage may already be done. Manually tracking media coverage and guessing its impact on your pipeline isn't sustainable.

Who it fits

Revenue and marketing teams who want to act on media narratives instead of reacting after the fact.

How it works

  1. Google Alert RSS feeds are checked for new articles
  2. The full text of each article is pulled in
  3. AI personas simulate how the story affects buyer interest
  4. Votes are tallied into a purchase-intent score
  5. An early-warning email is sent when the score crosses a threshold
What you get

Early warning before news reaches your pipeline

You get an early alert when a news story is likely to shift buyer interest, so your revenue team can respond before it shows up in the pipeline.

What you get

An early-warning email flagging news stories likely to help or hurt buyer interest in your category.

What you need

A Google Alerts RSS feed and a Gmail or email account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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