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AI for Marketing

SEO Content Generation

There are two ways to fail at SEO content. The first is not publishing, because a good post takes a week and there are forty topics on the list. The second is publishing a hundred posts that are technically about the keyword and substantively about nothing, which ranks for a quarter and then does not. The second failure is now cheap and popular, and it is why so much of the web reads like it was written by someone who has never used the product.

Skynet writes against sources instead of against a prompt. It reads your documentation, your existing posts, and your product knowledge from unified memory, so the draft contains real specifics. It still needs an editor. It just stops needing a writer to start from zero.

How it works

step 01

Ground it in what you know

Connect your docs, your published posts, and any internal material that holds the actual expertise. This is what separates a useful draft from filler — the agent can only be specific about things it has read.

step 02

Work the topic, not the keyword

Ask the agent to look at what currently ranks for the target and where those pages are thin. The brief comes out of that gap rather than out of a keyword volume column.

step 03

Draft with structure

The agent produces a full draft with the headings, internal links, and metadata in place. The mechanical parts of on-page SEO are handled so the edit is about substance.

step 04

Edit before publish

Nothing goes live unreviewed. You cut what is padded, add the opinion only a human has, and approve. The agent proposes; you publish.

Build it from a prompt

Give it the topic and the sources.

You get posts that a person can defend in front of a customer, at a pace that keeps the calendar full. The draft is the cheap part now; your time goes into the part that actually makes it worth reading.

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