By Victoria Olsina x babesnet.xyz

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I took my book "Mastering AI Search for Crypto and Web3 Brands" and turned it into hundreds of multi-format posts.
One asset. Infinite content.
And everything I learned applies to any content asset you're sitting on: reports, blog posts, whitepapers, etc.
Let's get into it.

https://victoriaolsina.com/
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No book existed on SEO/GEO for crypto and Web3.
Gap = opportunity.
"Does AI recommend me"?
People read less books, which means very few people would copy the move. Low competition, high credibility signal.
Write it fast using AI. Ship quickly, capture the niche, start the repurposing machine. Simple enough in theory.

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Bad content is better than no content.
Bad content has a chance to reach to customers, rank, show up on LLMs.
No content doesn't have any chance.

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A brand voice prompt/skill/gpt and a knowledge-base/factsheet solves this.
Every output produced for this case study used those.

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I cared too much to ship AI slop.
So two days became two months.
I had no system (never wrote a book before).
Also, I didn't want the book to be just AI slop as what I sell to clients is AI bots, skills and automations that "talk like your brand".

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I had no system.
Without a system, my brain drifts with no rails.
Tasks expand, priorities blur, momentum dies.
This room knows the feeling. I'll leave it there.

https://victoriaolsina.com/
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Bounce ideas back and forth: goals, format, length, audience
Get other LLMs to review it, then lock the final chapter list
Build a custom skill that captures your voice, rules, and style, so every chapter sounds like you

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Not all at once, keep momentum and quality consistent
Strip the common AI markers from the text
A second round of AI critique catches what you missed

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Open each section with something human, I use a skill for this too
This is non-negotiable. No AI replaces your own eyes.
There's never time. You make time.

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LINE 1: Turns a YouTube video into 7 pieces content, maximising reach and engagement across platforms + parasite SEO.

No direct publishing (G Doc instead): Twitter Article, Medium Article, LinkedIn Article

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Get the rest of the internet to say the same thing you say:

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Two months for one book.
I wasn't doing that again.
The book didn't need to be a destination. It needed to be a source.
So the book became a source asset, the input to five distinct repurposing lines.

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Each chapter of the book became a content pillar. Each pillar spawned a cluster of posts.

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Saves time when producing a content assets that requires visuals, avoid changing (and paying) for more platforms.

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The Claude Chrome extension lets Claude operate your web browser. It's very useful when there's no MCP or API connection available to connect with your tools/
Pull structured information from web pages and save it. Grab articles, pages, and reference material straight from the web and feed them directly into your prompts, briefs, or workflows.
Automate repetitive browser tasks like data entry, form filling, or multi-site workflows.

https://victoriaolsina.com/
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- Reply comments on X & Linkedin
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- Create GA4 & Looker studio dashboards
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- Google Tag Manager setups
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- Troubleshoot Wordpress/Elementor when the REST API can't do it
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- Bulk/repeated tasks: do [task] across [all these properties]
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Plug Claude into real, live data and real distribution.
Model Context Protocol connects Claude and LLMs to your tools (Notion, Sheets, Slack, CRM, etc) so it works with real, live data instead of guessing or copy-pasting.
Connect publishing tools like Wordpress, Blotato, Narrareach so Claude can queue and auto-publish content across channels.

https://victoriaolsina.com/
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- GSC
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- DataForSEO (replaced SemRush)
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- HeyGen
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- Blotato (social media scheduling)
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- VidIQ (YT video insights)
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- Wordpress REST API* (not a MCP, but worth mentioning)
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- Lovable
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Two months for one book.
I wasn't doing that again.
The book didn't need to be a destination. It needed to be a source.
So the book became a source asset, the input to five distinct repurposing lines.

https://victoriaolsina.com/
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Each blog post isn't the end, it's the beginning of a new repurposing line.
Each post to LinkedIn + X post = 120 pieces.
Each post to talking-head video with AI Avatar x 4 platforms: 240 pieces.
Each post to branded carousel LinkedIn & IG= 12O carousels.
Each post to Article on LinkedIn & Medium.
120 articles.

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Blog RSS feed to LinkedIn + X post.
120 pieces of content.
Automated via Make / n8n. Live and running (completed).

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Higher than backlinks, domain rating, or page count.
Google surfaces brands that dominate YouTube.
ChatGPT correlates strongly with YouTube presence.

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* 3 months vs 3 months, as of June 17, 2026. Source: Google Analytics

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- New modules: cannibalisation checks, keyword research, entity optimiser, etc.
- New repurposer: Webinar Promotion.
- You can use the existing skills anywhere else, like Hermes for editing video, replacing video editing apps such as Descript & Opus Clip.

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The book didn't just generate content.
It generated a better system than the one I started with.
Every new skill built during this project,
the MCPs,
the Claude Skills and workflows,
the image prompts,
the orchestration patterns,
is being fed back into the original YouTube repurposer system, rebuilt in Claude and repackaged into a Plugin.

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The full collection of Skills, scripts, and orchestration logic.
One deployable thing.

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The full 130-page book.
SLIDES ARE ALREADY PUBLISHED ☝️

https://victoriaolsina.com/
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Automating Content With AI