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AI for Marketing

Competitive Intelligence

The competitive deck goes stale the day after it is finished. Someone spends two weeks screenshotting pricing pages and reading launch posts, presents it, and then nothing updates it. Six months later a rep loses a deal to a feature that shipped in March and nobody on the marketing side knew about it. The information was public the whole time. There was just never a person whose job it was to check on a Tuesday.

An agent is good at exactly this: dull, repetitive, scheduled looking. Skynet browses the pages, holds what it found last time in memory, and reports the delta. Not a feed of everything — a short note on what actually changed since it last looked.

How it works

step 01

Name the watchlist

Tell the agent who you care about and where to look: pricing pages, changelogs, careers pages, their blog, the channels where they announce things. Specific sources beat a vague instruction to monitor the market.

step 02

Establish the baseline

The first pass captures where everything stands today. That snapshot lives in memory and becomes the thing every future run compares against.

step 03

Report the change, not the noise

On each run, the agent looks again and reports only what moved — new pricing tier, changed headline, a launch, a hiring pattern that hints at direction. If nothing changed, it says nothing changed.

step 04

Turn findings into work

When something material lands, ask for the follow-on: a note for the sales team, an updated comparison page, a suggested response to the messaging shift. The agent drafts it and you decide what ships.

Build it from a prompt

Set the watch once and let it run.

You end up with a picture of the market that stays current on its own, and the changes reach you while there is still time to respond. The work of watching stops competing with the work of building.

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