Hi, this is Denis from Snoika, and today I want to share our smart approach to improving a client’s SEO and GEO metrics without drawing the ire of search engine bots due to overly frequent or keyword-stuffed posts.

What this workflow is for

I built this workflow as part of a content strategy to boost SEO for one of our clients. Search engines reward websites that publish fresh, high-quality content consistently, but producing that content manually every day is time-consuming and expensive.

This automation solves this problem by acting as a AI-powered newsroom. It monitors financial RSS feeds around the clock, selects the most impactful stories, rewrites them as original articles in a professional editorial voice but also adds new insights and thoughts, and delivers them to you for direct publishing. Running three times a day, it keeps your website fed with timely market content without any manual effort.

How it works

1. Trigger: The workflow fires automatically at 08:00, 13:00, and 18:00 every day. You can adjust these times to match your publishing schedule or timezone.
2. RSS: Four RSS feeds are read simultaneously - Forex News, Stock Market, Economics, and Financial Advisor. These cover a broad range of financial topics so the AI always has diverse stories to choose from. You can swap these for any RSS feeds relevant to your niche.
3. Merge: All four feeds are merged into a single stream of articles before filtering begins.
4. Filter: Only articles published in the last 4 hours are kept. This ensures the workflow only works with fresh, timely content and never resurfaces old stories.
5. Duplicates: Then, articles with identical titles are removed. This handles cases where the same story appears across multiple feeds.
6. Memory Reader: Before picking articles, the workflow checks its memory of topics already covered today. This prevents the AI from selecting stories too similar to what was already published earlier in the day.
7. News Picker: AI agent reviews all remaining articles and selects the 2 best candidates based on market impact, presence of specific data points, and topic diversity. Promotional content, press releases, and video-only articles are filtered out automatically.
8. Memory Recorder: The titles and article snippets of the selected articles are saved to workflow memory so future runs within the same day know what topics to avoid.
9. Split Out: The 2 selected articles are split into individual items and processed one by one through a loop.
10. Extract News: Jina AI scrapes the full article content from the original URL, giving the rewriter the complete text rather than just the RSS snippet.
11. News Reporter: AI agent rewrites the scraped article as a 400-600 word financial news piece. It adds market context, keeps a strong editorial voice, structures the article with a hook and outlook, and adds new thoughts and insights to make the article original.
12. Publishing: The finished article is published in a Telegram channel. You can change this to a webhook to publish directly on your website.
13. Memory Cleaner: After every 3 runs (one full day), the topic memory is cleared automatically so the next day starts fresh.

What you need to get started

• Google Gemini API key
• Anthropic API key (Claude)
• Jina AI API key (FREE)
• Telegram bot token (FREE)
• Your own RSS feed URLs from RSSapp or any RSS source
• A website with a news section to publish the output
• You can also add the fact-checking step

What your website needs to make this SEO-effective

Publishing AI-written articles is only half the job. To get real SEO value from this content, your website needs the right technical foundation:

• News schema markup: Add NewsArticle structured data (JSON-LD) to every article page. This tells Google the content is news, enables rich results in Google News and Discover, and increases click-through rates significantly. At minimum include: headline, datePublished, dateModified, author, publisher, and image.
• A dedicated news page: Google needs a clear, crawlable archive of your articles. A paginated /news section with proper internal linking between articles helps Google understand your site publishes content regularly.
• Google News sitemap: A separate sitemap-news.xml that lists only articles published in the last 48 hours. This is required for Google News indexing and tells Google’s news crawler exactly where to look. Standard XML sitemaps are not enough on their own.
• Fast page load speed: News content is time-sensitive. Google deprioritizes slow pages in news results. Aim for under 2 seconds load time - use a CDN, compress images, and avoid render-blocking scripts on article pages.
• SEO-friendly URL slugs: Every article page should have a clean, keyword-rich URL slug rather than a generic ID or timestamp. For example /news/fed-raises-interest-rates-2026 instead of /news/?p=1234. This helps Google understand what the page is about before even reading it, improves click-through rates in search results, and makes internal linking easier as your archive grows.
• Author and E-E-A-T signals: Google’s quality guidelines reward Expertise, Experience, Authoritativeness, and Trustworthiness - especially for financial content which falls under YMYL (Your Money Your Life). Add a real or clearly defined author profile, an About page explaining your editorial process, and links to your social or professional profiles.
• Open Graph and Twitter Card meta tags: These don’t directly affect rankings but they control how your articles look when shared on social media, which drives traffic back to your site and builds indirect SEO authority through backlinks.

Hope it was useful, wishing y'all good luck!

Most businesses don’t lose leads because of bad marketing.

They lose them because nobody follows up properly.

Missed calls.

Cold inquiries.

Leads sitting in the CRM.

Gone.

⸻

So I built a system that:

• calls new leads instantly

• qualifies them (budget, timeline, intent)

• follows up daily via SMS/WhatsApp

• replies like a human (not templates)

• re-engages cold leads automatically

• pushes booking when they’re ready

⸻

What surprised me:

Most conversions didn’t happen on the first call…

They happened after consistent follow-up.

⸻

Tech stack:

•	n8n (orchestration)

•	OpenAI (conversation + replies)

•	Twilio (SMS + voice)

•	Supabase (lead tracking)

⸻

Still improving:

•	better intent detection

•	smarter re-scoring

•	booking automation

500 views made me $0. 50 views made $100.

Watch the full breakdown 👇 https://youtu.be/r7bma4D8Tdw

I spent years chasing viral vanity metrics. It was a total lie.

I was burning hours on content that looked great but did nothing for my bottom line. Then I built an AI dashboard to track the real data.

The truth? My most-watched videos were dead weight. My smallest videos were my biggest profit drivers.

Now, my AI advisor pulls from my revenue data to tell me exactly what to fix. No more guessing. No more wasting time on content that doesn't grow the business.

I am uploading this full dashboard to my community this week.

How do you track if your content is actually making money, or are you just chasing views? If you had a dashboard that told you exactly what to fix in your funnel, what would you ask it first?

Watch the full breakdown 👇 https://youtu.be/r7bma4D8Tdw

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I just love comments like this.

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I finally automated my entire YouTube growth team…

And I’m giving the whole setup away for FREE. (30 AGENTS)

Most people just ask Claude for video titles.

But the real leverage is turning it into an automated growth engine.

I built a system containing:

• 30 specialized YouTube Agents Skills for Claude Code & OpenClaw🦞 • Each trained for a specific role

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If you want access:

1️⃣ Like 2️⃣ Comment “YOUTUBE” 3️⃣ Make sure we’re connected

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500 views made $0. 50 views made $100.

You’re probably wondering how a tiny video beat a viral one.

I spent years following the "post more, stay consistent" trap. I thought more views meant more money. I was wrong. I was flying blind, creating content and hoping for the best.

It wasn't until I built a custom AI dashboard that the truth finally came out.

I finally saw exactly which videos were wasting my time and which ones were actually driving sales.

Here is what I discovered:

↳ Some of my highest-viewed videos had zero conversions. ↳ My lowest-viewed videos were actually my biggest profit drivers. ↳ My AI advisor now tells me exactly what to fix next.

It pulls data from my funnel, syncs with my revenue, and uses expert SOPs to give me actionable advice. No more guessing. No more wasting hours on content that doesn't move the needle.

I spent over $100 and weeks of work building this from scratch, but you don't have to.

🟣 Comment "DASHBOARD" and I'll send you the link to my automation library.

♻️ Repost for priority access..

I used to guess what videos to make next.

Check competitors. Scroll for hours. Try to “spot trends.”

And still miss.

No clarity. No system. Just hoping something worked.

So I fixed it.

Built a dashboard that removes the guesswork completely:

→ Type any keyword like “AI Automation” → Instantly finds top creators in that niche → Pulls all their videos + keywords → Compares them directly to your channel → Generates proven video ideas using Opus 4.7

Now I don’t brainstorm.

I execute.

Every idea is backed by data, not vibes.

It took weeks to build. And cost me a few hundred dollars to get right.

You don’t need to go through that.

🟣 Comment ANALYSIS and I’ll send it over.

I asked CLAUDE to fix my LinkedIn profile.

It didn't fix it. It turned it into a magnet for leads.

Everyone claims they use AI to grow on LinkedIn.

But they never show the results.

I have the results — 161K+ impressions (in the last 30 days) and 62K+ followers. DM me if you don't believe me and want to see real proof.

Here are the 15 AI agents I used to turn my dead profile into a lead-generating machine in under a week.

───

→ Profile Audit Agent — exposes why your dream clients scroll past you → Headline Agent — crafts headlines that stop the scroll in under 3 seconds → About Section Agent — turns your bio into a story that sells → Experience Agent — flips job titles into outcomes clients care about → Content Pillar Agent — locks in themes so every post builds authority → Hook Agent — generates first lines that grab attention instantly → Story Agent — structures posts so people read to the end → CTA Agent — builds calls to action that pull inbound DMs daily → Keyword Agent — optimizes every section for what your buyers search → Voice Agent — keeps your brand sounding like one person, not five → Competitor Agent — reverse-engineers what's working in your niche → Calendar Agent — maps your posting schedule so you never guess → Engagement Agent — turns scrollers into warm connections → Brand Agent — syncs your offer, audience, and message into one machine → Analytics Agent — tells you exactly what to double down on

All 15 agents are live inside my Skool community right now.

───

Want access to all 15 LinkedIn Personal Brand Agents?

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P.S. Repost for priority access (to get it faster)

🚀Module 3 of my $10K pm with Claude Course is Ready😎

Hey guys, Iv just uploaded the next module in the 10K pm with Claude course.

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Im really excited for Module 4 as we'll be diving into Claude Chat, Claude Code & Claude Cowork practical basics.

Comment "$10K" to get the link to the course.

Iv heard your guys requests and feedback for technical basics and we'll be including that in Module 4.

That feeling when you realize your systems are actually running themselves.

You’re not just saving time. You’re finally reclaiming your headspace. No more babysitting tasks or putting out fires. Just a business that functions the way you designed it to.

It didn't happen overnight, but building the automation engine was the best investment I ever made.

🟣 Comment AUTOMATION and I’ll send you the link to the community where I keep all my workflows, skills, and SOPs.

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I stopped wasting hours on tasks I lacked expertise in.

I used to spend days learning skills just to solve one-off problems. Then I built a system to distill expert knowledge directly into my own AI tools.

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I turned this exact strategy into a cheat sheet so you never have to prompt the same problem twice.

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