Most ecommerce brands have 3-5 revenue gaps worth $10K-$50K monthly in unrealized revenue. 

Not from lack of traffic.

But from fixable SEO and conversion issues that compound daily.

After 20+ years in digital marketing and running SEO for multiple 8-figure brands, I built SEOLeverage to close these gaps fast. 

No endless retainers. No audits that sit in folders. 

Just focused 30-day Revenue Sprints that capture measurable results.

What I Do:
→ Identify revenue gaps costing $5K-$50K+ monthly
→ Deploy Revenue Sprints that close gaps with surgical precision
→ Transform SEO from a cost center into a revenue multiplier

Recent Client Wins:
→ $96K annual revenue captured for an online education platform (one content optimization sprint)
→ $111K annual gap closed for a food & beverage brand (ranking optimization)
→ 75x ROI for a Shopify store through internal linking fixes ($287K annual impact)

The Reality:
Your competitors aren't smarter. They're just not leaving revenue on the table.See what you're leaving uncaptured → seoleverage.com/diagnostic

Over the last years, I've had the pleasure to help some amazing experts with SEO, such as Ezra Firestone, Allan Dib, or James Schramko.

Ready to close your biggest gap? Book a free Revenue Discovery Call: seoleverage.com/bookgert

Gert Mellak

You might be ranking on Google. But are you actually winning?

I worked with a brand ranked 4th.
2,000 visitors monthly.
Sales were flat.

Why? Because buyers don’t just Google anymore.

They watch YouTube.
They read Reddit.
They ask ChatGPT.

If you’re not visible everywhere they validate, you’re invisible where it matters.

We fixed visibility. Traffic stayed the same. Sales went up 40%.

If this sounds like you, watch this:
https://lnkd.in/es8nBvmE

#SEO #MarketingInsights #BusinessGrowth

Search Everywhere Optimization for Shopify, SaaS and Consultants.

You might be ranking on Google. But are you winning?

If you used to think ranking higher is the goal, in 2026, it’s not.

Your buyers jump platforms before they buy.
Google → YouTube → Reddit → AI → TikTok.

And if you’re missing even one of those platforms, you’re leaking trust. And sales.

Ranking #1 doesn’t win anymore. Being everywhere they research does.

If you want to see exactly what I mean, watch this: https://lnkd.in/es8nBvmE

This shift is bigger than most people realize.

#SEO #DigitalMarketing #MarketingStrategy #SearchMarketing

Why 2019 SEO Strategies Don’t Work in 2026

When ChatGPT launched in 2022, most SEOs called it a threat to Google.

We called it a signal.

Buyers were already searching on YouTube, Reddit, Amazon, and forums long before AI tools existed. 

ChatGPT didn't change the behavior. It confirmed it.

So I came up with PlatformLeverage back then, a service focuse don helping brands work on cross-platform visibility before it became the cool thing to do.

Today, Rand Fishkin published a fascinating research showing 26% of desktop searches happen outside Google across 41 platforms. 

Amazon, YouTube, and Bing each get more search activity than ChatGPT. 
Social and commerce platforms combined account for more than AI tools do.

Nobody's surprised by this if they've been watching actual buyer behavior.

Instead of continuing with PlatformLeverage, we've adopted the Search Everywhere terminology, as it clearly expresses the search focus blended with the cross-platform angle. 

The name changed. The idea didn't.

Your buyers don't research on one platform. 
They never did. 

The difference now is that the data is catching up to what we were already seeing in client pipelines 2 years ago.

If you're optimizing for visibility on Google and only cover other platforms with ads, you're building your strategy on one leg.

Microsoft integrates Anthropic's Coworker into 365! 

This doesn't only mean a huge win for Claude's distribution into B2B,
but also that OpenAI might not likely have anything coming close to Cowork in the near future.

Claude AI is eating the world: Microsoft just shipped its “digital coworker” for 365, and the brain behind it isn’t OpenAI. It’s their biggest rival Anthropic 😳

Microsoft CEO Satya Nadella just unveiled Copilot Cowork - an autonomous agent that can plan and execute multi-step work across Outlook, Excel, PowerPoint, Teams, and your entire Microsoft 365 stack.

You give it intent: “Prepare me for the Q2 review with Acme.”

It builds the plan.
Pulls the data.
Writes the deck.
Schedules prep time.
Drafts the emails.

And runs the workflow in the background.

The agentic orchestration layer powering it comes from Claude Cowork, Anthropic’s technology.

That makes this one of the biggest enterprise wins the $380 billion AI lab has landed so far 🤯

It could change the enterprise AI game significantly thanks to:

↳ Massive distribution

Microsoft 365 has hundreds of millions of seats. Copilot already has 15M+ paid users and 90% of the Fortune 500.

↳ Enterprise trust unlocked

Claude’s agentic tech is now wrapped in Microsoft’s security stack: Purview, Entra, audit logs, and compliance.

↳ Strategic signal

Microsoft’s deepest AI partner is OpenAI (it has 27% stake).
Yet the system executing long-horizon work plans now runs Anthropic’s stack.

↳ A learning flywheel

Every enterprise workflow running inside Copilot now trains Claude on real office work.
This alone could be a huge unlock for real-world workflows.

My takeaway is this:

The biggest shift we’re witnessing now is not about better chatbots or the latest LLMs.

It’s all about software that plans and executes knowledge work while you watch the progress bar 🤖

Anthropic built the AI agent that made Microsoft nervous.

So Microsoft turned around and shipped it to the corporate world.

Now the operating system of global office work runs on Claude AI.

Anthropic just can't stop winning, & ClaudeOS is eating the world.

P.S. check out how to Turn Claude Cowork Into Your Personal COO that does work while you sleep 🧠: https://lnkd.in/eS6JCk2G

The board wasn't wrong to ask the question.

A SaaS founder came to us after their Series A. Investors had flagged paid dependency in the data room. CAC was climbing, the paid channel was working but getting more expensive every quarter, and no one could point to an organic engine that would hold up under scrutiny. 

They'd tried SEO once. Got blog traffic. Zero demos.

We didn't start with content.

We mapped where their buyers actually shortlisted vendors before booking a call based on self attribution. 

Turned out two specific Reddit communities and Perplexity were where the real decisions happened. 

Their competitors showed up in both. They didn't show up in either.

Six months in, their call booking form tells a different story. Discovery sources now include Perplexity, the two Reddit threads, and a specific obstacle people worried about before buying, where the brand now shows up in ChatGPT.

If your paid CAC is climbing and your organic channel isn't compounding results, that's the gap worth closing before your next board review.

🎯 Search Everywhere Optimization Example on Reddit: 348 upvotes, 205 comments — zero ad spend

An entrepreneur asked r/Entrepreneur (a community of 4M+ business owners) what tools they use to automate their business. Zapier, Make, and a handful of niche tools got named dozens of times by real users — no clicks to any website needed.

That's brand discovery happening right now in communities your buyers trust more than any ad.

The funnel wasn't broken.

A client dropped from $140K/month inbound to $18K over three quarters. 

New agency. New landing pages. A $15K consultant. Nothing moved.

Their sales lead figured it out.

"The people booking calls already have alternatives picked. They're price-shopping us. Something changed upstream." He was right. Their buyers had moved to ChatGPT and Reddit before ever clicking a link. The offer was still strong. The ads were still running. 

But where the decision was actually forming, this brand didn't exist.

We didn't touch the ads.

We just made sure the internet reflected what was actually true about them, in the places their buyers were actually looking.

Pipeline is at $50K and climbing.

🎯 Search Everywhere Optimization Example on Reddit: 164 sales pros answered one CRM question

Someone posted in r/sales asking which CRM to use. 164 professionals replied. Some tools got recommended repeatedly. One got roasted in the top answer. No ad was shown, no website was visited — but buying decisions were shaped right there in that thread.

Your buyers are in these conversations. The question is whether your brand shows up on the right side of them.

The AI Doc I AI Healthcare I MedTech I Healthtech I Digital Health I Data Mining I Health Information Tech I Automation I Robotics I Founder-theHotBleep I

Is AI making a difference in healthcare?Who uses it. How is it used. Why do some tools persist while others disappear.Most assume they know the answers.The data suggests otherwise.AI is already embedded in clinical practice.Evaluation often ends at deployment.My work begins after.I study real use.Clinician behaviour over time.Adoption, friction, and quiet abandonment.Longitudinal data.Compounded insight.Observed, not assumed.If you want to receive lab dockets:Signup herehttps://aihealth-newsletter.beehiiv.comWe will soon start to make results available via API.The results are rarely what people expect.

Dr Nik

Every Hospital has bed shortages
But when you make a deeper analysis
Its often a patient-flow efficiency problem

And these days, there is only one answer for efficiency, #AI!

The solution; AI Patient Flow Agent from Kontakt.io.
An AI hospital operations system to manage patient flow & discharge timing.
Uses AI to predict & coordinate patient flow through the hospital.
It combines data from:
 • Electronic Health Records
 • Real-Time Location Systems
 • bed availability
 • discharge readiness
 • staffing and resource data
The AI then predicts bottlenecks & prompts staff on what needs to happen next to discharge patients sooner.

According to their data:
• ~22% of inpatient days are unnecessary
 • A 200-bed hospital could save ~$4M per year

This is part of a larger trend where AI is not just diagnosing disease but running hospital operations. If you care about where smart medical infrastructure is heading, join my newsletter 
👉 https://lnkd.in/eAQAgBGA

#AIHEALTHCARE #Healthcaremanagement #workflowefficiency

Clinical AI Research Lab Founding Steward. Working on Clinical AI post deployment physician use longitudinal data.

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