
I am finishing setting up the parsing for a PBN network targeting Ukraine.
In short, the platform I built for deploying my PBN allows me to configure several types of content. What am I working on right now?
Parsing. Here’s the gist: I take a donor site—say, one focused on cars—and extract all its feeds (essentially categories). I assign names to them and then assemble everything on my target site using a builder tool.
In other words, I take my site and add, for example, two categories from donor site A, three from donor site B, and so on, while making sure to cite the original source. It acts as a sort of content unique-ifier and randomizer. Out of the 500 sites in the network, this content setup is already active on 480 of them. Just a few more days, and it’ll be finished.
Next, I’ll be setting up the following content types:
a) Parsing from a donor site followed by automatic AI rewriting. It works just like the first method, but the content gets rewritten in the process.
b) AI-generated content based on keywords. Semantic data is gathered and sent to ChatGPT; the AI then writes content based on prompts, publishes it automatically, adds images, interlinks articles, and submits pages for indexing via a Telegram bot.
Other types of content might be added later—I don’t know yet. But these three are already enough to bring a PBN to life, drive traffic, and regularly publish 20–30 (sometimes even 50) relevant, niche-specific articles a day.
As a result, the site transforms into a niche media outlet rather than remaining a dead, neglected resource—which is what most PBNs on the market look like.
Hugs to everyone 🫂
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