Brand ClickX

Head of SEO

MUTTII®

Digital Marketing Manager

AFFILITO

SEO Web Content Creator

Digitally Up

As a Digitally Up SEO Expert, my role involves enhancing website visibility, boosting traffic, and fostering revenue growth through strategic SEO initiatives. I perform comprehensive keyword research, execute targeted SEO campaigns, analyze website data for optimization opportunities, and offer recommendations for on-page enhancements.

SEO Expert

Google DSC - MUET, Jamshoro

Editorial Officer

Relymer Group

SEO Content Writer And Blockchain Analyst

Digital marketing Agency

Digital Marketer

Hire an SEO Expert for an AI Battle, to Dominate SEO, Achieve Top SEO Rankings on Google 

Boost Organic Traffic, Specialize in Ecommerce SEO, Shopify & WordPress Optimization

Google SEO Techniques, On-Page Optimization, Link Building, SEO Audits, Keyword Research, Engaging SEO Content, Off-Page SEO, Technical SEO, Ahrefs 

Our SEO Marketing Services Improve Websites in US, Germany, Canada, AU, UK, Israel !! 

ADVANCED: 

Enhanced SEO Services:  
Comprehensive SEO Audit & Strategy ☑️ Implementation of Technical SEO ☑️ 
SEO Keyword Research and Keywords Clustering ☑️ On-Page SEO Optimization ☑️ 
Off-Page SEO and Web 3.0 Link Building ☑️ SERP (Search Engine Results Page) / SERM (Search Engine Reputation Management) ☑️ 

Key Abilities:  

📌Effectively communicate 

📌Technical SEO Audit information in a simplified manner. 

📌Conduct SEO Competitor Analysis to gain insights into Organic SEO performance and major strategies. 

Skilled in Website Creation, in-depth Keyword Research, Content Strategy development !! 

Proficient in Web Research and Search Engine analysis 

⭐ Proficient in Web Crawling, Web Content Strategy, and Keyword optimization techniques. 

🟨 Additional 

📌Conduct Competitive Analysis for Rankings Research and Search Engine Marketing.  

📌Implement effective Keyword Ranking strategies, Competitor Research, and SEO Link Building for Web Traffic Optimization and Lead Generation.  

📌Conduct Website Audits, improve SEO Content, analyze Backlinks, and enhance SEO performance 

📌Expertise in SEO Backlinking and optimizing Backlinks using tools like Ahrefs for Website Ranking and Keyword optimization.  

📌Image Optimization skills, including Images alt & title attributes, Image resizing, Image Editing, and Image Search techniques.  

📌Conduct Usability Testing and provide comprehensive reports.  

📌Knowledge of Core Web Vitals and ability to improve Page Speed Optimization.  

📌Proficient in Off-Page SEO strategies such as SEO Link Building, PBN Links, SEO Backlinks, Off-Page Optimization, Guest Posting, Outreach, Social Media Marketing, Forum Posting.  

📌Familiarity with Ahrefs, Semrush, Serpstat, Screaming Frog SEO Spider, SEO Moz, SimilarWeb, and Netpeak Spider for effective SEO analysis.  

📌Google Ads, PPC, Google Analytics, Google Ads Audit, Google Keyword Planner, Google Search Console ! 

SEM professional : 
Advanced Search / SEO / Hire SEO / Technical SEO / Link Building /Keyword Ranking / Local SEO / SEO Research / On page SEO / Off Page SEO

Let me be blunt

SEO is not enough anymore

You can rank #1 on Google all day long… and still get ignored inside AI answers

Because AI is not showing links

It is showing brands

That is where GEO comes in

→ SEO gets you clicks
 → GEO gets you mentioned

In SEO, the journey starts when someone sees your link and clicks to your site

In GEO, the journey often ends right inside an AI answer, with your brand mentioned but no click needed

That single shift creates five key differences:

→ SEO depends on clicks, GEO depends on visibility.
 → SEO traffic is high-volume, GEO traffic is smaller but more conversion-ready.
 → SEO performance is measured in rankings and backlinks, GEO in mentions and citations.
 → SEO relies on your own site, GEO relies on third-party mentions across the web.
 → SEO traffic browses, GEO traffic arrives with intent

Here is the kicker: AI-driven visitors converted 23x higher for Ahrefs compared to traditional organic search

That is the power of GEO

But don’t make the mistake of skipping SEO

SEO is your foundation

GEO is your upgrade

Start with strong SEO

Then layer in GEO by:

→ Publishing fresh, original data.
→ Getting your brand listed in trusted third-party sources.
→ Making your content structured and machine-readable.
→ Building visibility on platforms AI cites often (YouTube, Reddit, review sites)

SEO is how you get found

GEO is how you stay chosen

And if you want to win inside AI search, you need the right tools

I use Visiblie for my GEO strategy

→ Track how often your brand appears in ChatGPT and AI Overviews
 → Analyze your visibility against competitors
 → Get actionable recommendations to boost your presence where AI is making decisions

Your competitors are already optimizing for Ai

The only question is, will Ai recommend you or them?

Be the brand Ai recommends

Follow Kashmala Malik for daily AEO, GEO and SEO Case studies, tips, and guides!!!

Kashmala Malik 

Ai SEO Strategist - Not Just SEO Anymore, Make Your Brand Ai Visible

LLM SEO is not a tactic

It’s how you stay visible in the age of AI

Most SEOs are still optimizing for crawlers

But LLMs don’t crawl
They reference
And if you’re not being mentioned, you’re not being seen

Here are 20 LLM SEO myths that are quietly killing your AI visibility

 Ignore them, and your brand disappears

 Understand them, and you become unignorable

→ Citations Beat Structure

 You can’t schema your way into authority
 LLMs cite what others already trust

→ Freshness Beats Memory

 LLMs forget fast
 You’re either part of the current conversation, or gone

→ Context Trumps Keywords

 Exact match is old news
 What matters now: Are you being understood without needing to be precise?

→ Links Still Matter

 LLMs notice what gets linked
 Backlinks = credibility signals in the new world, too

→ Niche Can Rank

 You don’t need to be a giant
 You need repetition, recognition, and presence

→ Snapshots, Not Crawlers

 Google indexes your site
 LLMs train on public mentions. Big difference

→ Recency Is Key

 Outdated = invisible
 LLMs only surface sources that still echo

→ Markup Isn’t Magic

 Structured data doesn’t earn trust
 Other people talking about you does

→ Authority, Not Volume

 100 posts that nobody cites? Worthless
 One post cited 20 times? That’s power

→ If Public, Visible

 Anything hidden, login wall, paywall, buried deep, never existed to the LLM

→ Silent Source Use

 You may never get credit
 But if your work gets referenced, you win

→ Unique Beats Redundant

 Regurgitated = forgotten
 Original = cited

→ Multilingual Mentions Win

 English isn’t the limit
 LLMs pull from credible content across languages

→ Different Signal Systems

 Search engines rank pages
 LLMs cite ideas
 You need both

→ Separate Scoring Systems

 Google gives you traffic
 LLMs decide if you’re worth quoting
 Not the same game

→ Timeliness Drives Inclusion

 Recent mentions train the model
 Old content is noise

→ Only Trust Counts

 Not all mentions are equal
 LLMs filter by source reputation, ruthlessly

→ Patterns Define Trust

 Once isn’t enough
 Repetition, corroboration, consistency. That’s how you get in the dataset

→ Answers Can Include

 AI answers aren’t zero-sum
 You can show up with your competitors, if you’re worth citing

→ Long-Term Strategy Shift

 This isn’t a tweak
 This is the new playbook

 And the brands that win will be the ones who adapt first

Just dropped something 🔥 for SEOs, content leads, and AI marketers

 30-Point LLM SEO Audit Sheet

 Advanced but super practical, shows exactly how to optimize your content for visibility, citations, and AI interpretation

 💬 Comment “LLM Audit” below and I’ll send it to you

 Limited to the first 50, lmao Just kidding (i love you all)

Comment and get your sheet in your inboxes!!

PS: Follow Kashmala Malik For daily GEO, AEO and AIO content!!!

AI Mode has everyone freaking out, but the truth is simple

Google stopped ranking keywords

It started ranking how well you understand people

When someone types a complex question, AI Mode breaks it into a whole stack of hidden questions the user never said

Those are the questions that decide who ranks and who gets left in the “why did our traffic drop?” group chat

The funny part? Most content does not answer half of them

And that is why so many “optimized” pages are vanishing

They look good
They are structured well

But they do not answer the real questions the user cares about

Here is what actually works now, and yes, it is way more human

→ Cover the full topic instead of chasing one lonely keyword
→ Run Reverse Question Answering on your page to see the exact questions you already answer
→ Fill the gaps with clear, direct sentences that sound like a human explaining something to another human
→ Get your brand mentioned across the web, because AI is basically learning who to trust from all the places your name shows up
→ Use images and videos that actually help the user understand something, not just “make the page look pretty.”

This is the part people hate hearing

We are in the post keyword era

Google is rewarding brands people talk about, content that answers actual questions, and pages that feel like someone made them for a real human

Nothing else gets a seat at the table

If your content does not match the way people think, ask, and learn, AI Mode will scroll right past you

But if you adapt now, you will outrank everyone who is still stuck on keyword maps and outdated methods tbh

I don’t care how many keywords you stuffed

if your content doesn’t mean anything

you’re not getting ranked

not on Google
not in ChatGPT
not anywhere

because keywords don’t run the game anymore

vector search does

AI doesn’t search for exact terms

it looks for intent
for concepts
for meaning

someone types “best running shoes”?

ChatGPT might show them “top jogging sneakers”

same vibe, different words

and that’s the change

your SEO isn’t broken
your strategy is outdated

you’re still writing for crawlers

While AI is out here reading like a human

this is what works now:

→ Clear answers
 → Real structure
 → Semantic depth
 → Actual expertise

 
not another 2,000 word essay that says nothing

and if you’re not showing up in AI answers?

you’re not getting found

this is what I help brands fix

I make them show up where people ask, not just where they search

→ inside ChatGPT
→ inside Perplexity
→ inside Google’s AI Overviews

this ain’t SEO anymore

this is visibility in a post keyword world

and if you want to win in that world?

you better start writing like machines actually understand you

Aimon Zehra

Modern SEO Funnel for AI & Answer Engines

Here’s how it works:

1. Discovery (Find what people actually ask)

 → Use AlsoAsked, Glasp, Reddit, Quora
 → Search site:reddit.com + keyword for real phrasing
 → Create intent buckets like “how to”, “is it safe”, “vs”, “best way”

Example:
 Search: best protein for bloating site:reddit.com

2. Optimization (Structure answers for snippets)
 → Answer in the first 30 words
 → Use prompt-style headings like “How does ___ work?”
 → Add structure: bullet lists, tables, FAQs

Pro Tip:
 Copy Reddit-style answers → clean them up → reuse as “Reddit Style Answer” blocks

3. Authority (Earn trust fast)

 → Link to Reddit or Quora answers as “What the community says”
 → Quote or paraphrase upvoted comments
 → Use first-party data and unique user trends

Example:
 “According to 2,300+ upvotes on r/Fitness, most users reported X…”

4. Conversion (Trigger soft action, no click needed)

 → TL;DR boxes, snippet cards, or checklists
 → Use Reddit Qs as prompts for gated content
 → Add CTAs like:

 “Want the full breakdown? → [View complete guide]”

Design for zero-click UX
Fast loading. Mobile first. Value right in the snippet

This funnel gets surfaced inside AI results, earns Reddit style trust, and moves the user before they even click

Want your site to rank where users actually decide?

DM me.

The weakest point in most SEO programs is not content, links, or on-page refinements

The weakest point is the hosting layer that controls server speed, uptime stability, and the technical conditions Google evaluates before rendering a single pixel

This layer decides how far an SEO strategy can scale

Modern rankings rise or fall on infrastructure quality long before optimization work begins

Slow server response times push LCP past acceptable thresholds

Legacy hardware routinely sits in the 500–700 millisecond range, which guarantees that Core Web Vitals will struggle no matter how clean the front end is

Distance between the data center and the user base adds unavoidable latency measured in tens of milliseconds per thousand miles

This geographic drag affects load times, especially during first-byte delivery, and directly impacts Google’s performance assessments

Uptime instability reduces crawl frequency.

When Googlebot encounters repeated timeouts, the crawler reallocates resources elsewhere, delaying indexation and slowing visibility for new and updated pages

The impact compounds for news publishers, ecommerce, and any site operating on time-sensitive content cycles

Infrastructure also determines protocol support

HTTP/3, running over QUIC, delivers measurable reductions in latency and performs better on inconsistent networks

Hosts stuck on outdated stacks limit performance potential and lose the competitive advantages provided by modern web standards

Scalability is another critical variable

Traffic surges can trigger throttling, 503 errors, elevated latencies, and crawl failures when hardware capacity caps out

Infrastructure must accommodate both steady-state demand and unpredictable spikes without collapsing performance signals

The hosting environment is not a commodity purchase

It is strategic SEO infrastructure

Evaluate it with the same rigor applied to technical audits:

→ Data center proximity to primary markets.
→ Real-world uptime verified by third-party monitoring.
→ Average and peak server response times.
→ HTTP/2 and HTTP/3 support.
→ Automatic scaling and resource flexibility.
→ Security layers that prevent outages and crawler disruptions

SEO performance is bounded by infrastructure quality

Strong hosting elevates Core Web Vitals, keeps crawl frequency high, and preserves stability under load

Weak hosting suppresses rankings before any optimization work has a chance to influence outcomes.

The bad advice around content length for AI search is getting out of control

This week alone, people claimed content needs 10,000+ words to get cited by AI

Others insisted 250–500 words is the new magic number for visibility

Both takes collapse the moment real data enters the room

Here is what actually happens when 174,048 pages cited in AI Overviews get analyzed

→ Short content is cited slightly more than content over 1,000 words.
→ Content length has almost zero impact on citation position.
→ Short content appears in top positions constantly.
→ Most content types have median word counts under 1,000

The hook is simple

People are chasing word counts while AI ignores them

Here is the transition

The Ahrefs study behind these findings dismantles every extreme opinion circulating right now

The average cited page sits at 1,282 words

More than half of all citations go to pages under 1,000 words

Only 16% of citations land on pages over 2,000 words.
The correlation between word count and citation position is .04.

That number is functionally zero

Short pages land in the top three positions more than 95% of the time once they get cited

Ecommerce listings, core pages, user-generated content and video descriptions show up constantly with only a few hundred words
The longest blog post found in the dataset was around 3,500 words

Not 10,000
Not even close

→ Content length is not the lever
→ Clarity is the lever
→ Direct answers are the lever
→ Clean structure is the lever
→ Useful information is the lever

Match word count to what the page actually needs

A product page does not need 2,000 words

A comprehensive guide might

Write enough to deliver value and cut everything else

When the fluff disappears, the usefulness shows up

And that usefulness is what AI systems and human readers reward

Stop writing for a number and start writing for the question

 Short vs. Long Content

Google just broke the biggest myth in SEO

And almost no one is talking about it

I spent the morning reading a new UX study on Google AI Mode, and the findings flip the current panic narrative on its head

Everyone keeps screaming that AI Mode will kill all traffic

But the data tells a different story

Here is what actually matters

→ 69% of transactional AI Mode searches still send users to real websites

That number shocked me

I expected drop-off

Instead, I saw people clicking when it was time to choose a doctor, dentist, or provider

People do not trust AI summaries to make high stakes decisions

They use AI Mode to build a shortlist

→ Ranking #1 is no longer the trophy

The study showed that 89% of users clicked on more than one business

This is the shift almost everyone in SEO is missing

Users are creating a consideration set, not picking the first name on the screen

Your new job is simple: get into the top five

If you land there, you have a real shot

→ Scrolling is alive and well

84% of people went below the fold
They treated the list like a curated menu, not a final answer

→ Photos barely matter, but reviews dominate decisions

Only 21% opened photos
But 74% read reviews before they clicked
Social proof is doing the heavy lifting now

Google AI Mode is not stealing the traffic that pays your bills

It is only killing low value informational clicks that were never going to convert anyway

If you run SEO for local businesses or service providers, stop panicking

Shift your goal

→ Old goal: Chase the #1 spot
→ New goal: Get into the top 5 and win with reviews

AI did not kill transactional intent

It just changed the game

Every exec thinks they know their AI visibility

Then we run their brand through a multi-model audit

And the results hit them like a bucket of cold water

GPT pushes them into the “maybe” pile
Claude barely remembers they exist
Perplexity swaps them out for a cheaper competitor without hesitation

Same prompt
Same category

Three totally different outcomes

Here is the transition

Most teams assume AI systems see their brand the same way

They don’t

Each model uses a different retrieval pipeline, different trust weighting, and different safety logic

Your Google rank does not translate

Your visibility in one model does not protect you in another

Multi-model tracking reveals the signals that decide whether an AI system trusts your brand or replaces it

→ It measures brand recall
→ It measures if you show up as primary, secondary, or excluded
→ It measures consistency across repeated runs

Then it maps the sources each model leans on

→GPT uses balanced training data with selective live retrieval
→Claude applies strict safety and conservative brand logic
→Perplexity uses real-time search with aggressive citation rules

Those differences create fragmented visibility

This is where competitive substitution destroys brands quietly

When a model lacks enough data about you, it does not warn you

It simply substitutes you with a bigger, cheaper, or safer alternative

You never lose to an algorithm

You lose to the brand the model trusts more

Multi-model tracking exposes the blind spots you cannot see from the outside

It shows where your schema is thin
It shows where your citations fail
It shows where your content lands in one model but disappears in another

And it gives you a visibility strategy grounded in real model behavior

If you only track ChatGPT, you are seeing at best one-third of your actual AI visibility.

🎁 If you want the checklist we use for multi-model visibility scoring, reply CHECKLIST

How to structure content for AI summaries

AEO Content Framework shows how AI decides which brands deserve to appear in summaries

Most content is written for rankings, but AI is scanning structure, signals, and clarity

If your content is not aligned with how models interpret information, your brand gets skipped

Your structure determines whether AI understands you → or ignores you

Here is the breakdown that gives brands the highest visibility inside AI answers

→ Layer 01: The Question

Every interaction starts with the exact question a user types.
The words shape the entire flow of how AI searches, filters, and evaluates relevance.
Clear questions help AI map the rest of your signals.

→ Layer 02: The Entity

AI recognizes brands as entities, not pages.
Your brand, category, product, and details must be defined as one unified node.
When this layer is weak, AI cannot recall your brand during answers.

→ Layer 03: The Context

Context tells AI why your brand matters for a question.
Use cases, intent, industry, and comparisons act as structured pathways.
The richer the context, the more scenarios you show up in.

→ Layer 04: The Credibility

Credibility signals confirm that your brand is trustworthy.
Schema, citations, authority, and reviews strengthen the model’s confidence.
These signals raise your chances of being recommended inside summaries

AEO is not about ranking pages.

AEO is about structuring content so AI understands, remembers, and recommends your brand

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