Organic Hackers

We help you grow your business with SEO on all search engines.

Founder & Head of Strategy

HeadShotlyAI

Implementing all organic hacks there are to make Headshotly a success.
- Creating GPTs
- Creating content
- Creating AI web apps

All-it-takes-to-make-it-work

Phanum

I help starting businesses with a validated idea to go to market organically.

- Marketing
- Operations
- Strategy
- Team
- Tech

Digital Marketing Consultant for Startups

Shuffly

Helping the marketing team of Shuffly to execute their SEO strategy successfully:

Working on a D2C SEO Strategy:

- SEO technical
- SEO auditing
- Website architecture
- Keyword research
- Operations support
- Content gap analysis
- Content strategy strategy and advice

Reporting directly to the CEO.

D2C SEO Consultant

WeatherTech®

Helping the marketing team of WeatherTechCH to execute their SEO strategy successfully:

Working on a eCommerce D2C SEO Strategy:

- SEO technical strategy
- SEO technical auditing
- Website architecture
- Keyword research
- Operations support
- Content gap analysis
- Content strategy strategy and advice

Reporting directly to the Managing Director for Europe expansion.

eCommerce SEO Strategist

TEKTELIC

Helped the marketing team of Tektelic to execute their SEO strategy succesfully:

Working on a D2C SEO Strategy:

- SEO technical
- SEO auditing
- Keyword research
- Operations support
- Content gap analysis
- Content strategy strategy and advice

Reporting directly to the Marketing Manager and CEO.

SEO Strategist

Verbolia

Helping the marketing team of Verbolia to execute their SEO strategy succesfully

Working on a SaaS SEO Strategy:

- SEO technical 
- Content strategy and advice
- On-Page Optimization
- Web Content Writing
- Keyword research
- SEO Auditing

SaaS SEO Strategist

Watermelon

Helped the marketing team of Watermelon to execute their SEO strategy successfully.

Working on a SaaS SEO Strategy:

- SEO technical
- SEO auditing
- Keyword research
- Operations support
- Content gap analysis
- Link building strategy
- Programmatic SEO techniques
- Content strategy strategy and advice

SaaS SEO Capitan

The BD School

Worked on eLearning SEO Content Strategy:

- SEO technical 
- Content strategy and advice
- Marketing operations support
- On-Page Optimization
- Web Content Writing
- Keyword research
- SEO Auditing

SEO Sherpa

GO Online Marketing

Worked on:

- Content guidance to copywriters and editors
- Software projects strategy and execution
- SEO strategy advice and execution
- SEO Audits

SEO and Software Advisor

Helping CEOs With Their SEO | Growing Websites Traffic x10 With 90-Day Content Sprints | Achieved +5M Revenue With SaaS & eCommerce SEO Campaigns | Trained +100 Companies | Software Engineer | Founder @ Phanum

Every search channel one call away - book me now, organichackers.com

🍔 SEO BURGER
The 7 layers of my SEO system

SEO ain't keywords
SEO ain't content
SEO ain't even a strategy

SEO is a system:
Market + Strategy + Execution + Goals + Automation

Layer by layer...

My favorite SEO burger (let's eat it together):

1. Technical SEO [the bottom bun]
→ Crawlability, UX, structured data
Bad tech SEO? Literally nothing else will work

2. Search Market Fit [the meat]
→ Do people search for what you offer?
→ Does your business offer the right solution?

3. Content Production [the veggies]
→ Content system to produce quality at scale
→ Pages that match demand and drive revenue

4. Site Structure [the pickels]
→ Internal linking, clusters, clear navigation
→ Browsability, content formats and structure 

5. Content Ops [the cheese]
→ Planning, publishing, repurposing, automating
→ Optimizing, merging, removing

6. Authority Building [the tomato]
→ Backlinks, mentions, PR. Brand = trust = rankings
→ Demand generation, social media, brand mentions

7. Measurement & Iteration [the top bun]
→ What gets measured, grows
→ Find new ways
→ Test the limits

Are you SEO hungry?

🔄 Repost and I will make a SEO Burger for you

Jairo Guerrero

SEO Growth On All Search Channels | Technical-First Revenue-Driven Search Strategies | Trained +100 Companies | Co-founder @ Organic Hackers

The 7 layers of a successful SEO system by Jairo Guerrero - Organic Hackers

SEOs are the only reason we have:

- great content
- great websites
- fast experiences
- great mobile usability


The internet is a black box and with SEO we shade a bit of light to it

Also we help LLMs and search engines to read thousands of years of crafted human knowledge so the whole AI magic works...

Who runs the world?

10 Crucial Schema Types for eCommerce
To win Google and GPT Shopping
[Improve Clickthrough rates]

Here’s the checklist I use on every PDP:

1. Product
→ Defines core product info (GTIN, brand, price)
→ Why: Foundation for visibility in product features
→ Triggers: Product carousels, Shopping packs

Tips: "Product variant" for product with multiple options (single page or multi page)

2. AggregateRating
→ Rolls up user ratings (e.g. 4.6/5)
→ Why: Stars = trust + clicks
→ Triggers: ⭐ in SERPs, review-rich snippets
→ Note: SSR it, JS won't work

3. Review
→ Adds user-level reviews (author, rating...)
→ Why: Gives Google deeper context
→ Triggers: Extended review snippets

4. Offer
→ Price, availability, discounts, delivery time
→ Why: Enables deal visibility
→ Triggers: “Deals On” grids, Shopping packs

5. ImageObject
→ Defines image metadata (alt text, dimensions, etc)
→ Why: Powers image-rich results
→ Triggers: Image packs, rich snippets

6. MerchantReturnPolicy
→ Describes return terms/process
→ Why: Builds trust and improves visibility
→ Triggers: Return policy in Shopping results

7. ShippingDetails
→ Region, cost, and delivery speed
→ Why: Boosts “fast shipping” trust signals
→ Triggers: “Fast delivery” tags, Shopping carousels

8. BreadcrumbList
→ Page hierarchy (Home > Category > Product)
→ Why: Adds clarity + helps Google crawl
→ Triggers: Breadcrumb links in SERPs

9. FAQPage
→ Structured Q&A for your PDP
→ Why: Easy extra visibility
→ Triggers: FAQ dropdowns under your result

10. VariantProduct
→ Variations (color, size, model)
→ Why: Helps Google index each PDP version
→ Triggers: Variant-rich PDP visibility

Do you use schema for your SEO? and for your GEO?

I created a 30-page presentation:
"How to 2x your traffic with Schema data"

Comment "30 slides" and I will send it your way

Schema must-haves for eCommerce SEO - Jairo Guerrero - Organic Hackers

Start Your 2026 Search Optimization Now
[How to GEO - Beginners Guide]


Search just became bigger and there is no better moment to invest on search channels.

SEOs are the most qualified people to take you to the next stage of search.

5 AI Search Essentials you need to know:

1 - Prioritize Visibility over Traffic: Aim to be the answer, not only the link.

2 - Build Brand Context: Be mentioned has never been more important, make LLM put you in a context.

3 - Develop a Prompt Strategy: Understand the complex questions your audience is asking AI.

4 - Optimize for Readability: LLM crawlers are simpler than Google’s, making your content easy to reach and understand.

5 - Own Your Brand Sentiment: Actively shape how AI perceives and portrays you.

Bonus - Develop Agentic Strategies: Agents will take action from your website.


Full beginners guide 🔽

In partnership with Scalenut - The #1 Unified Platform for AI Visibility.

How To GEO - Search Strategy for 2026 by Jairo Guerrero

Old SEO KPI > Traffic

2026 SEO KPIs > Quotes & Mentions

Traffic has indeed decreased for most of my clients but not their profits.

But one metric I see growing is Branded Search.

Here is why:

1 - user goes to ChatGPT
2 - searches for a product
3 - gets recommendations
4 - googles the brand

The 2026 Search KPIs are:

- Sentiment
- Mentions
- Quotes
- Profit

Search has expanded with AI.

Your visibility should expand too.

If your brand isn't in the "memory" of an LLM, you don't exist for an average Chat GPT user.

And there are 700M of them.

Imagine the market of all LLMs together…

But how do I measure AI search?

Easy.

I'm using Meridian, designed to track the metrics that actually matter now.

Here’s what it lets me track:

↳ Brand signals
Visibility score, citations & sentiment

↳ Technical SEO
In-depth technical check up with crawlability, and content performance data

↳ Improvement actions
Content gaps, link building opportunities, content freshness and social conversations

↳ Product-level tracking
My favourite.

High-impact prompts, product visibility monitoring, retail coverage

Imagine having a full scope of AI visibility of each of your products.

Plus they’re giving away a FREE AI visibility tool.

It can:

- Give you your AI visibility score
- Show you how you rank amongst competitors
- Provide sources where AI is finding your brand

Comment “AI” below and I’ll send it over.

____


And yes, I’m a proud Meridian partner.

I switched my content research to Reddit 12 months ago. Here’s how I cut hours off every topic dive:

Here’s my framework:

1 - Find Topic Threads  
Search your core topics on any search platform: LLMs and Google will show you the best Reddit threads.

2 - Sort by New  
The latest threads show you trendy topics and less competition.

3 - Scan for Brand Mentions  
Check if your brand is on Reddit, understand the sentiment and act on it.

From all threads and responses you get a sharp idea of how your content should be framed to help.

Remember, Reddit is the winner in many queries but it is only 1 result. You can still win top rankings and mentions.

But bare in mind...

This entire process takes too long unless you use Scalenut.

What you need:

- Your website
- Your context
- Your competitors
- Your core keywords
- Your brand description

Scalenut will get you from Reddit:
- Relevant threads
- Latest threads
- Brand mentions
- All comments per thread

All compressed in one dashboard to monitor everything.

It includes an AI reply writer to help your brand account to participate  at speed on Reddit.

It saves me +10hrs every topic I research

Shoutout to Mayank Jain for helping me find Scalenut

Ready to save research time?

Did you know? Schema validator is not the ultimate verification of your structured data.

The Schema validator does syntax and entity review for each data point. But logic, hierarchy and references are not validated.

Let me put it simpler with an example:

For an eCommerce site, we had to implement a complex set of shipping and return rules with structured data. 

Despite the developers did not find any issues with the Schema validator, the implementation was not done correctly.

We were using the @id reference.
But all references done to the actual Shipping and Return values were NOT linked properly. Schema validator did not catch that issue.

This led to empty data points: forget about featured snippets like Shipping and Return information shown next to our products in the SERPs.

The Rich Results Test delivers a better overview: it fired warnings to the missing data. 

Here is the issue: none of these tools tell you how to actually fix the issues.
There is one option only: manual check ups.

You really need to understand the hierarchy of Schema to avoid implementing empty values, wrong hierarchy or bad references.

Do you often use Schema Validator?

Here some basic resources:
Schema Validator: https://lnkd.in/edG95gru
Rich Results Test: https://lnkd.in/erisaGAn
Bing Markup Validator: https://lnkd.in/eDZnWfAa
Google Documentation: https://lnkd.in/eGN4CVWA
Schema Documentation: https://schema.org/Product

Schema Validator and Rich Results Test to verify structure data implementation - By Jairo Guerrero - Organic Hackers

BREAKING: you can buy products straight from ChatGPT checkout
[Google Ads merchants need to know this]

Open AI launched "The Agentic Commerce Protocol" together with Stripe, Etsy and Shopify

Open AI integrated with the +1M Shopify merchants and return embedded products in the chat via MCP.

First built-in integrations are Etsy and Shopify vendors.

Open AI and Stripe are even making this feature "open source" so any merchant can build any eComm integration.

One "SEO" win:
Shopify will offer a simple search feature. LLMs can pass "query" and "context" details.

Now LLMs can bypass Google and search in eCommerce networks...

My predictions for 2026-Q1:
- LLMs rely a on Schema for accurate data
- Retail ads launch in ChatGPT
- ChatGPT Merchant Center

The Agentic Commerce Protocol will be a fundamental part of Search Marketing Performance, get ready now.

Would you buy straight from ChatGPT?

Resources:

- Open AI Commerce Protocol https://lnkd.in/ecyvY-_p
- Open Source Docs: https://lnkd.in/egFW-fjF
- Stripe Docs: https://lnkd.in/e2daQZuH
- Commerce Protocol Workflow: https://lnkd.in/ennxeDUN
- Shopify MCP Docs: https://lnkd.in/eDKXZMCE

Technical SEO is the most impactful marketing strategy...
Here the 4 crucial layers of it

I've seen many business bleeding revenue because they website was broken

I've seen many business grow revenue because they website was optimal

What's the point of your website content if the website is broken...

For smaller websites, technical SEO is not crucial

For bigger website, technical SEO is the corner stone of the business

Here the 4 fundamental layers of Technical SEO:

Level 1 of Technical SEO:
HTML & CSS
↳ json
↳ href lang
↳ navigation
↳ URL structure
↳ mobile UI / UX
↳ sitemap check
↳ optimize on-page
↳ basic schema data
↳ website architecture

Level 2 of Technical SEO:
Correct use of JavaScript and frontend functionalities
↳ CRO upgrades
↳ core web vitals
↳ optimal crawling
↳ server log analysis
↳ fixing server issues
↳ advanced schema data
↳ advanced analytics
↳ dynamic rendering
↳ better indexing

Level 3 of Technical SEO:
Backend & Server performance
↳ database changes
↳ enhanced CMS
↳ APIs Access
↳ server upgrades
↳ bulk data changes
↳ programmatic SEO
↳ custom data processing
↳ user-agent responsiveness

Level 4 of Technical SEO:
Data Processing
↳ advanced SEO automation
↳ in-depth data analysis
↳ predictive analysis
↳ nlp processing
↳ web scraping

Are you taking care of your technical SEO?

🔄 Repost and you will rank higher

I got my first few leads from LLMs but I have produced ZERO content on my website, the question is

First, some context: Last few leads have reported they found me via Perplexity and ChatGPT, with queries such as "best seo specialist for [niche]"

Yet I have not produced any piece of content on my website, I am not visible on Google but I am visible in LLMs which to me is a signal of good performance

On the other hand, I had lost leads with the argument "you are not doing SEO for your own website"...

Which make me wonder what is the perception of SEO in general... 

I optimize my visibility, I post regularly here on LinkedIn and got invited to many podcasts, got mentioned in many articles and got invited also as speaker in multiple conferences

I am building an online footprint that can be traced easily by any LLM or search bot and most importantly, people

All content I produced outside of my website has been a pure strategy for me to get a higher ROI from the content I produce

But my website has still 1 landing page only

If I am visible and getting leads already with 1 landing page imagine what I can achieve with 10 pages, with 100 pages...

The problem comes when you have a strong online footprint (aka brand) but not having ANY result from search channels. Then there is something broken and it has to be fixed.

If your brand ain't getting enough search visibility I can help you here: https://lnkd.in/eHXgFiDe


___ In the image:

With Navneet Kaushal discussing all of these topics, video in the comments :)

Navneel Kaushal and Jairo Guerrero - SEO podcast

SEO Is Finally Dead in 2025
Here is why

SEO has clearly come to an end
Here some stats to prove it

Google:
⇢ 2024 daily searches: 8.3 billion
⇢ 2025 daily searches: 13.6 billion (+60%)

+60% growth of search demand clearly shows people are not searching anymore on Google

Chat GPT:
⇢ 2024 daily searches: 0
⇢ 2025 daily searches: +1.6 billion

Chat GPT processing +365 B search tasks (prompts & queries) per day clearly shows the search market is not going anywhere

Also:

ChatGPT gets approximately 5.19 billion visits per month

OpenAI hopes to reach 1 billion users by the end of 2025

In just 5 days, ChatGPT surpassed 1 million users

Google processes 189,815 searches per second

India has the highest Google adoption rate at 92.9%

The United States accounts for 19.44% of all Google traffic

Google’s global market share among search engines is 90.14%

All of this data just confirms that people are not searching anything online anymore...

When was the last time you used ChatGPT? And Google?

I do not use any of those tools anymore...

...

SEO is dead as you can see

So do not invest at all you will be fine

Do you agree SEO is dead?
I mean you have to, it's true

🔄 Repost to save SEO

How do LLM trackers work?
[Mayank built one and told me how]

The 11-Step API approach

i. Define the Initial Query
The system needs a starting point
This defines the core topic you want to track
↳ You provide business info and core topics/keywords


ii. Prompt Variations Generation

A single prompt gives a tiny, unreliable snapshot
That is why the tracker gets to develop prompt variations
Prompt fan-out I call it :)
↳ The system auto-generates 100s of variations 
("laptops for students", "gaming laptops 2025")


iii. Queue the Prompts

All generated prompts can't run at once
They need to be organized for efficient execution
↳ All prompts are placed in an execution queue
↳ Ready to be sent to the different models


iv. Send API Calls

The trackers then send those prompts to the models
It sends arrays of prompts at once
Trackers jiggle API limitations with various parallel systems
↳ Asynchronous API requests to ChatGPT, Gemini, etc.


v. Parse the Raw Response

The API returns raw, unstructured data (JSON)
This data isn't readable or useful in its initial state
↳ The system structures the data
↳ Response gets ready for analysis


vi. Identify Brand Mentions

Analysis starts: matching mentions
↳ An analysis service scans the text using NLP to find every single brand mention


vii. Score the Mentions

Just finding a mention isn't enough information
Trackers start the context analysis
↳ Each mention is scored based on sentiment, position, and the context it appeared in


viii. Store Structured Results

In-depth analysis gets organized
Allows for fast reporting and trend analysis
↳ All scores, mentions, and insights are saved in a structured database


ix. Aggregate Data for Dashboards

Once data is stored, data visualization starts
↳ Trackers pulls the structured data to visualize trends on a user-facing dashboard


x. Compare Against Competitors

Your own visibility score is only half the story
You need to know where you stand in the market
↳ The dashboard visualizes your performance directly against your top competitors


xi. Trigger Alerts, Recommendations & Actions

Trackers have often built in features to help users to actually improve the metrics the see
↳ Alerts on brand's visibility suddenly drops
↳ AI writer assistant
↳ Content auditing
↳ Keyword planner


Thank you to Mayank, founder of Scalenut which does exactly this:
- AI visibility
- Content optimization
- Reddit analysis and engagement
- Authority building

Are you monitoring your AI brand market share?

🔄 Re-share if you found this breakdown useful

How do LLM trackers work? By Jairo Guerrero - Organic Hackers

When my ChatGPT-written article is quoted by ChatGPT and ranks top 1 on Google:


Examples in the comments

Does your AI content performs well too?

Taplio

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