I am a Data/Web Analyst and turn data into actions, optimize processes and document best practices. 

My professional background in SEO, Marketing and Content helps a lot when using data and building processes. 

If you feel lost with your web data and want a solid action plan, contact me now!

Marco Giordano

GA4Dataform is a massive help if you are an analyst/marketer and want to use GA4 BigQuery data.  
  
The output tables you get are:  
  
↳ demo_daily_sessions_report - peak daily session report  
↳ demo_diagnostics  
↳ ga4_events - event data  
↳ ga4_sessions - session data  
↳ ga4_transactions - Ecommerce data (if any)  
  
It's super quick to set up and even quicker to open Looker Studio and build something.  
  
A lot of stuff that should be modeled/fixed is already handled.  
  
❗️Analytics is all about speed and this is the ideal solution for many use cases.  
  
GA4 UI and API are extremely limited so you must use BigQuery for serious use cases.
  
Guess what though?  
  
😩 The output is highly complex.  
  
This tool bridges the issue for FREE.  
  
Of course for more complex projects you need to do data modeling in completely different ways.  
  
There isn't a better way to model your data, it all depends on needs.  
  
😎 But for quick and dirty use cases (the majority), you can use GA4Dataform and call it a day.  

This is a big step forward in terms of making great data available and usable (like in Looker Studio).
  
After all, you can't have a data engineer for every project, right?  
  
📥 If you want to learn Web Analytics, subscribe to my newsletter in bio!

Data/Web Analyst | GA4, GSC, SEO, Content | BigQuery, Python, R, SQL

graphical user interface, text, application

Building Semantic Topical Maps to Grow Websites with Topical Authority

I'm Muhammad Ahmad Khan, specialized in growing ecommerce brands through Semantic SEO.

Over the years, I’ve worked with multiple multi-million-dollar brands, helping them scale by building semantic content networks and implementing strategies that turn traffic into loyal customers.

Key Achievements:

👉 Scaled an ecommerce brand from 100 to 300k monthly visitors, increasing its valuation to $50M+.

👉Also helped some EdTech brands to dominate the tutoring industry by combining programmatic SEO with semantics.

👉 Helped multiple iGaming brands to achieve topical authority state around some most competitive keywords via building semantic content networks.

 👉 Built semantic content frameworks that consistently increase sales, repeat customers, and market dominance.

 👉 Designed scalable content systems for ecommerce stores that align product pages, category pages, and blog content with search intent.

This is how I can help you with your website growth:

👉 Building topical map to build topical authority.

👉 Building semantic content briefs to help the writers with framework to follow while writing content.

👉 Writing semantic content to create helpful and high quality content items to fulfill the intent of user queries and make them convert and become loyal customers.

👉 Ongoing content engineering to make sure the content always stays relevant and keeps ranking.

Feel Free to contact me:
✔️ If you're a fellow SEO and want to chat
✔️ You're at a business, you want SEO, and have a budget for it

Muhammad Ahmad Khan

I've helped my ecommerce clients generate over $100M in revenue.

Not with ads.
Not with influencers. 
Not with "hacks."

With words.

Here's the unsexy truth about ecommerce content:

Most brands throw money at writers.

Then wonder why rankings don't move.

The problem isn't talent.

It's the lack of a system.

Here's what I learned while running my Ecommerce SEO agency:

Even the best writers struggle with consistency without a system.

Give them a framework, and they become unstoppable.

So I built a system.

I call it the Semantic Writing Framework for Ecommerce.

Every rule is documented. 
Every pattern is repeatable. 
Every writer follows the same playbook.

This isn't a "style guide."

It's a semantic content operating system inspired by Koray Tugberk GUBUR and semantics principles.

Here's what makes it different:

👉 Depth
Each rule includes: 
→ Clear definition 
→ BAD example (with breakdown of why it fails) 
→ GOOD example (with breakdown of why it works) 
→ Plug-and-play templates 
→ Writer checklist for self-review

My writers don't guess. They execute.

👉 Structure
The framework is organised into thematic clusters:
→ Sentence Clarity & Structure
→ Evidence, Data & Credibility
→ Content Flow & Coherence 
→ Question-Answer Optimisation 
→ Semantic Density & Information Depth 
→ Entity Management & NLP Optimisation 
→ Semantic Relationships 
→ Formatting & Lists
→ Tone, Style & Language 
→ Verb & Grammar Rules 
→ Introduction & H1 Optimisation 
→ Answer Format & Length
→ Nuance & Perspective

New writers get trained cluster by cluster. 

Senior writers use it as a QA checklist. 

Editors use it for consistent feedback.

One framework. Every team member aligned.

👉 ROI
Here's what this system delivers for ecommerce clients:
→ £3.5M revenue from SEO for a single client 
→ 400% increase in organic visibility in 6 months

When your content is built on semantic principles, every piece becomes an asset.

Not an expense.

And with AI search growing?

ChatGPT, Perplexity, AI Overviews, they all pull from semantically structured content.

One investment. Compounding returns.

👉 Team Scaling
Before this framework: 
→ Endless revision cycles 
→ Inconsistent quality across writers 
→ Senior team bottlenecked on reviews

After: 
→ First drafts that need minimal edits 
→ Junior writers producing senior-level output 
→ 60% of operations automated

The framework doesn't replace talent.

It multiplies it.

I've combined everything into a holistic complete mindmap:

- Mind map for visual reference 
- Ready for team training

Want the complete Semantic Writing Framework?

Comment "semantic" and make sure we're connected (I can't DM you otherwise). 

I'll send it directly to your inbox.

In 2026 and beyond ecommerce brands that systematise content will outperform those that don't.

Every. Single. Time.

Founder @ EcomHolistic. Semantic & AI SEO for Ecommerce.

semantic writing framework for ecommerce store

Most ecommerce product pages fail at SEO because they optimise for just keywords.

Not entities.
Not search intent.
Not AI visibility.

After working on hundreds of e-commerce projects, I've built a complete framework for Product Page Optimization that covers everything from semantic foundations to AI search readiness.

Here's what it includes:
→ Entity-Attribute-Value framework
→ Query intent mapping for transactional, commercial, informational, and navigational searches 
→ Title tags, meta descriptions, and URL structures that actually work 
→ Schema markup implementation 
→ Image and visual content optimization 
→ Reviews and UGC strategy for SEO 
→ Technical SEO checklist for product pages 
→ Internal linking and site architecture 
→ Handling product variants without creating duplicate content 
→ Discontinued product strategy (stop losing that link equity) 
→ Conversion elements that support both rankings and sales 
→ AI search and conversational commerce optimization

The mind map below breaks down each section visually.

Use it as a checklist next time you audit or build a product page.

If you prefer a detailed PDF version for a clearer view, I'll DM it to you:

1- Make sure we're connected
2- Comment "FRAMEWORK"

P.S. - Repost for priority access

Semantic & AI SEO for 7-9 Figure Ecommerce Stores. More Organic Revenue. Less Paid Dependency.

ecommerce SEO product page optimization framework

Here's why your SEO content doesn't rank and convert.

You're writing for humans OR search engines.

Never both.

Semantic writing fixes this.

It's precise. It's structured. It aligns with how Google AND humans process information.

The result?
→ Lower content production costs
→ Higher rankings with fewer content items
→ Better engagement when humans land on the page
→ Compounding returns over time

Here's what semantic writing looks like in practice:

VAGUE vs PRECISE:
❌ "Sneakers are known for comfort"
✅ "Sneakers provide cushioning using foam midsoles"

FLUFFY vs DIRECT:
❌ "In today's world, it is important to understand..."
✅ "Running shoes absorb impact through air pocket technology"

LAZY vs SPECIFIC:
❌ "There are many types"
✅ "There are 4 types of sneakers which includes trainers, runners, high-tops, slip-ons"

WEAK vs FACTUAL:
❌ "It is very popular"
✅ "Nike sells 25 million pairs yearly"

See the pattern?

Left side: Bad for search engine extraction. Readers remember nothing.

Right side: Optimized for NLP parsing. Builds reader trust in content and brand.

Does this take more effort per article?

Yes.

But you need fewer high-quality content to dominate.

Fewer content = Lower production costs.
Higher precision = Better rankings.
Better structure = Compounding returns.

The math works.

Semantic SEO turns your organic channel into something you own.

Something that pays you back for years.

Framework sneak peek below 👇

——

Enjoy this? ♻️ Repost it to your network and follow me for more SEO Strategies.

P.S. Special thanks to Koray Tugberk GUBUR for his research on the semantic writing framework.

Hiring: SEO Project Manager (Remote)

We’re looking for an SEO Project Manager who can own delivery across multiple campaigns. 

You'd be the one making sure nothing slips, keeping clients in the loop, and coordinating between our strategists, writers, and technical team.

You'll need solid technical SEO knowledge and familiarity with SEO (preferably semantics/AI) and content strategy helps a lot given how we work. 

Tools like Screaming Frog, Ahrefs, SEMrush, and Search Console, Data Studio, Google Analytics should feel comfortable.

On the project management side experience with Asana, ClickUp, Monday, or similar is important. Same with Notion, Google Workspace, Slack, and Loom. 

You'll be managing a team and running client calls, sending updates, and keeping documentation tight, so strong communication matters just as much as the technical stuff.

We're remote-friendly, so you can work from anywhere in the world.

If this sounds like your thing, drop your application through the link in the comments.

You can't control Google's algorithm.

You can't control your competitors.

You can't control how many backlinks you get.

But there's ONE thing you control 100%:

Your internal links.

And most ecommerce stores are wasting this opportunity.

Here's what internal links actually do:
→ Help Google understand what your site is about
→ Guide customers to the products/pages they need
→ Pass authority between your webpages
→ Keep visitors on your site longer

The best part?

You don't need anyone's permission.

You don't need to pay for them.

You don't need to outreach or negotiate.

Just connect your pages strategically.

No new content.

No new backlinks.

Just smarter connections and relationships.

Stop chasing what you can't control.

Start optimising what you can.

Framework sneak peek below 👇

——

Enjoy this? ♻️ Repost it to your network and follow me for more Ecommerce SEO Strategies.

Most ecommerce brands are stuck.

Spend more on ads to grow, but margins keep shrinking.

Your ad spend is the biggest line item on your P&L. And it keeps growing.

ROAS looks good.

Revenue is flowing.

Then you turn off the ads for a week.

Revenue takes a hit you cannot afford.

I've worked with ecommerce brands doing $1M+ and here's the pattern I see:
→ More than 50% of traffic is paid
→ CAC increases every quarter
→ Margins get squeezed
→ Founders watch their margins shrink quarter after quarter

The solution isn't to abandon paid ads.

It's to build a channel you actually own.

Organic presence across every search platform.

But not the old way.

Not gaming the algorithm.

Not random content. 

Not buying backlinks from link farms. 

👉 Semantic SEO and AI search optimization.

Building organic visibility that:
Compounds over time 
Reduces your blended CAC 
Ranks your brand on Google and gets cited by AI search platforms
Makes your business worth more when you exit

I put together a 90-day playbook specifically for ecommerce founders who want to break free from paid ads dependency.

No fluff. Just the exact system.

Want the complete playbook?

1. Connect with me
2. Comment "PLAYBOOK"

P.S. - Repost for priority access

A $50M ecommerce brand hired me last year.

First thing I told them:

"Your keyword strategy is solid. But Google doesn't understand your products."

They looked confused.

"We rank on page 1 for most of our target keywords."

I pulled up their product data.

- GMC feeds: half-empty attributes.
- Structured data: missing on most pages.
- YouTube presence: not much.
- Reviews mentioning features: barely any.

"You're ranking," I said. "But you're invisible to a lot of AI-powered product discovery."

Then I explained the shift.

Ecommerce SEO isn't about keywords anymore.

It's about whether Google understands your product as an entity.

This is the shift most brands missed.

Google built the Shopping Graph which contains billions of product listings, helping users find specific products.

A semantic database where products exist as entities, not pages with keywords.

Every product connects to attributes like price, brand, color, size, rating, and stock.

It indexes billions of products and uses machine learning to match them to user queries.

When someone asks AI for a product recommendation, it queries this Graph.

The Shopping Graph pulls product data from:

→ YouTube videos
→ Manufacturer websites
→ Online shops and product detail pages
→ Google Merchant Center
→ Google Manufacturer Center
→ Product reviews

Both structured data (like GMC feeds and schema) and unstructured content (like video transcripts and review text) contribute to it.

Their products weren't showing up in these places. Not with the right attributes.

So we fixed it.

→ Completed every GMC feed attribute
→ Rewrote product pages to naturally describe features and use cases
→ Created YouTube content for top products
→ Built a review system that encouraged specific feature mentions
→ Implemented full product schema markup

The focus shifted from keywords to entities, attributes and relationships.

Six months later?

Their products started appearing in AI-generated recommendations.

Traffic from AI sources went from almost nothing to a meaningful channel.

Same products. Same prices. Just properly understood by Google.

If Google Shopping Graph optimization is not in your 2026 ecommerce strategy, you're missing out on a lot of visibility potential.

I've mapped the entire system in the infographic below ↓

——

Enjoy this? ♻️ Repost it to your network and follow me for more Ecommerce SEO content.

Founder @ EcomHolistic | Semantic & AI SEO for 7–9 Figure Ecommerce Stores

Unpopular opinion: most ecommerce stores don't always need more content.

They don't need more links either.

They need to fix the mess they already have.

Here's what I mean.

Ecommerce stores naturally are built to multiply URLs. 

Every category filter or product attribute or feature that improves user experience also multiplies your URLs exponentially.

This huge URL expansion may result in diluting the ranking signals for the main or core URLs, if they're not properly canonicalised and aligned through the website's internal link architecture.

The result?

Your SEO spend goes nowhere. Rankings stay flat. Results never show.

Not because your strategy is wrong.

Because your foundation is broken.

Made a video on how to fix it.

Link in comments 👇

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The Battle

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Muhammad Ahmad Khan

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The Battle

Marco Giordano

Muhammad Ahmad Khan

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Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Marco Giordano's LinkedIn Performance

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