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AI for Product

Competitive Intelligence

The usual pattern is this: nobody watches competitors for four months, then a deal is lost to one and everyone spends a frantic afternoon reading their changelog back to January. What you produce is a snapshot that is out of date by the following week, and the pattern repeats next quarter. Meanwhile the useful signal — a competitor quietly shipping the thing that is sitting at position four on your roadmap — passed by unnoticed in March.

Skynet can browse the web and hold what it finds in memory over time, which is what makes this different from reading a competitor’s site once. It knows what their pricing page said last month, so it can tell you what changed and whether the change matters.

How it works

step 01

Name who you watch

List the competitors and the surfaces worth tracking — changelogs, pricing, docs, launch announcements, review sites. The agent checks them on the schedule you set.

step 02

Separate signal from churn

Most page changes are noise. The agent filters for the ones that matter: a real capability shipped, a pricing model changed, positioning moved. A reworded hero line does not need your Tuesday.

step 03

Map it against your roadmap

The point is not the news, it is the implication. The agent compares what shipped to what you have planned and flags overlap — where you have just been matched, and where a gap opened up.

step 04

Deliver it where you read things

A short digest, in your channel, on your cadence. Anything urgent — a competitor landing directly on a roadmap bet — comes through immediately rather than waiting for the weekly.

Build it from a prompt

Describe the watch list once and it keeps running in the background.

You get to stop treating competitive research as an emergency. The picture stays current on its own, and when leadership asks where you stand, the answer is a running record rather than an afternoon of frantic tab-opening.

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