Self.

Something

SKINS ELITE

BOB THE BUILDER

Siliconseven

Founder

manish pargai

Performics India

Business Manager

SEO Associate

BC Web Wise

Assistant SEO Manager

Senior Search Engine Optimization

PromoDome Digital

Search Engine Optimization Executive

Gozoop Online Pvt Ltd

Maze Infocom Solutions Pvt. Ltd.

SEO Intern

Owner of Ultra Frog 🐸 | With 4+ years of experience in SEO, I’ve successfully led strategies across Healthcare, BFSI & Finance, and E-commerce helping brands recover, scale, and dominate search visibility even in competitive and regulated industries.

One of my most impactful projects was in the Healthcare domain, where I:

📈 Grew organic traffic by over 145% in just 3 months for a site previously penalized by Google for spam link activity. Using data-led keyword mapping, trust rebuilding, and SERP-aligned content, we not only recovered but surpassed previous benchmarks.

💰 In the same space, a deep competitor trend analysis and search-intent-focused strategy led to a 320% revenue uplift, simply by aligning content efforts to bottom-of-funnel queries and real user behavior.

I strongly believe SEO is a long-term business enabler not just about backlinks and rankings, but aligning with evolving search intent and user needs.

💼 Domain Expertise:

Healthcare SEO – YMYL-compliant structures, trust signal restoration, and semantic search coverage.

BFSI & Banking Finance Increased traffic by using smart schema markup, lead-focused content, and targeting users at the right moment in their decision journey.

E-commerce SEO – Optimization for product/category discovery, internal linking, and conversion-focused pages.

🤖 Special Skills:

✅ AI-Powered SEO Tool Development (Streamlit + spaCy visualizers, bulk schema generators)

✅ Browser Extension Creation (SEO audit automation, competitor data scraping)

✅ Structured Data Expertise (FAQ, Breadcrumb, HowTo, Review schemas)

✅ Penalty Recovery Planning (manual/spam link cleanups, disavow files, content trust rebuild)

✅ Entity-based Content Strategy & Search Intent Modeling

✅ Competitor Content Gap + Performance Analysis

Amal Alexander

E-E-A-T App Script turned out to be a massive hit in my last post, so I’m re-uploading this with the proper video walkthrough this time.

🔍 Ultra EEAT Analyzer - What it does:

✅ Analyzes URLs for all EEAT signals automatically.
✅ Detects experience, expertise, and authoritativeness markers.
✅ Scans for trust signals (HTTPS, privacy policy, contact info, citations).
✅ Generates visual dashboards with scores and insights.
✅ Batch processes multiple URLs in Google Sheets.

No complicated setup. No subscriptions. Just pure EEAT analysis.

📝 𝐍𝐎𝐓𝐄: 𝐈𝐟 𝐈 𝐟𝐚𝐢𝐥𝐞𝐝 𝐭𝐨 𝐫𝐞𝐬𝐩𝐨𝐧𝐝 𝐭𝐨 𝐲𝐨𝐮𝐫 𝐜𝐨𝐦𝐦𝐞𝐧𝐭, 𝐩𝐥𝐞𝐚𝐬𝐞 𝐃𝐌 𝐦𝐞 𝐚𝐧𝐝 𝐈'𝐥𝐥 𝐬𝐡𝐚𝐫𝐞 𝐭𝐡𝐞 𝐆𝐮𝐦𝐫𝐨𝐚𝐝 𝐥𝐢𝐧𝐤.

Peace ✌️

#SEO #EEAT #GoogleSEO #ContentMarketing #SEOTools #GoogleSheets #AppScript

Business Manager at Performics | ML + Python + AI Projects | Publicis Groupe

🚨 Found something interesting today while exploring Google’s implementation of LLMs.txt 👀

Everyone has been sharing the 𝐡𝐭𝐭𝐩𝐬://𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬.𝐠𝐨𝐨𝐠𝐥𝐞.𝐜𝐨𝐦/𝐬𝐞𝐚𝐫𝐜𝐡/𝐝𝐨𝐜𝐬/𝐥𝐥𝐦𝐬.𝐭𝐱𝐭 URL which lists SEO documentation pages for LLM consumption.

I stumbled upon a second LLMs file that isn’t being mentioned anywhere:

 👉 𝐡𝐭𝐭𝐩𝐬://𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬.𝐠𝐨𝐨𝐠𝐥𝐞.𝐜𝐨𝐦/𝐬𝐞𝐚𝐫𝐜𝐡/𝐥𝐥𝐦𝐬.𝐭𝐱𝐭

And this one isn’t just docs it contains the entire Google Search Central blogs, neatly formatted in Markdown for LLM ingestion.

Not jumping to conclusions just sharing an observation.

If Google is already formatting blog-level content for AI systems, it does make you wonder what’s coming next. 🤔

Funny how things change so fast lol.

#llmsTxt #AIIndexing #FutureOfSearch #GoogleUpdates #TechnicalSEO #GenAI #AIWebCrawling

🚀 I Built an AI-Powered SEO Audit System Prototype in n8n!

I recently created a demo workflow to showcase what’s possible when you combine n8n automation + AI. Even as a prototype, the capabilities are seriously powerful.

🔍 What the System Does

An automated SEO audit engine that can:

✨ Scan websites on a schedule.
🧠 Analyze 8 key SEO factors (titles, meta descriptions, headings, OG tags, alt text, etc.)
📊 Score pages with a 0–100 intelligent grading model.
🤖 Use Claude AI to generate actionable recommendations.
📑 Log insights directly into Google Sheets.
🚨 Trigger alerts when scores drop below threshold.
📧 Send structured HTML email reports.

🧩 Workflow Architecture

⏰ Cron Trigger → Google Sheets → HTTP Fetch → HTML Parsing.
⚙️ Custom 100-point scoring engine.
🤖 AI agent for contextual recommendations.
🔀 Conditional logic for smart branching.
💼 Automated HTML report delivery.

⚙️ Tech Stack

🔁 n8n for workflow orchestration.
🤖 Claude (Anthropic) for AI insights.
📄 Google Sheets for data handling.
🔍 Conditional logic for adaptive decision-making.

Note: This is a prototype with mock data designed to demonstrate workflow capability, not yet connected to live systems.

💡 Why I Built This

To explore how quickly complex automation workflows can be prototyped inside n8n's visual builder. Turns out very quickly.

💬 What automation ideas have you been experimenting with lately?

#n8n #Automation #AI #SEO #NoCode #WorkflowAutomation #Prototype #ClaudeAI #AIAutomation #LowCode

🚀 Just recorded a quick demo of how I run 5 SEO analysis in seconds directly inside Google Sheets.

With my Ultimate SEO Automation Suite, you can generate:
🔹 On-Page SEO Sheet.
🔹 Technical SEO Sheet.
🔹 Content Audit Sheet.
🔹 Link Analyzer Sheet.
🔹 Schema Analysis Sheet.

All with one click. ⚡

No manual work. No switching tools. Only Google Sheet!!!

And this is just the tip of the iceberg the suite can also perform:
✨ Custom Extraction.
🎥 YouTube Analysis.
📱 ASO (App Store Optimization).
🖼️ Image Audit.

Plus it supports batch analysis add multiple URLs and let it process everything automatically.

If anyone’s interested, feel free to DM me. I’ll share the Gumroad link.

#SEO #Automation #GoogleSheets #SEOTools #ContentMarketing #DigitalMarketing #Productivity

🐸 Turned Ultra Frog into a Desktop GUI

Been experimenting with something new lately - Converted my Ultra Frog SEO crawler from a CLI tool to a desktop application with Tkinter.

This is just a basic framework right now. I've only added a few features to see if the concept works. Yeah, it looks dull - dark theme, simple layout, nothing fancy. But these are literally random ideas that popped into my head, and I wanted to test them out.

What I've built so far:
• Spider/List/Sitemap crawling modes
• N-gram analysis (unigrams, bigrams, trigrams).
• 15+ analysis tabs for SEO insights.
• CSV export functionality.

It's rough around the edges, and there's a lot more I could add. But that's the point - start with a basic framework, see what sticks, iterate from there.

Just experimenting and learning as I go.

#SEO #Python #WebDevelopment #Coding #SideProject #TechExperiments

🚨 Google can't see 70% of your JavaScript-rendered content...

And it's absolutely DESTROYING your organic rankings.

I just built the 𝐔𝐥𝐭𝐫𝐚 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 & 𝐒𝐒𝐑 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐓𝐨𝐨𝐥 to expose what's really happening under the hood.

🔥 Key Features:

→ Detect rendering modes (SSR vs CSR vs SSG) instantly.
→ Framework detection (React, Next.js, Vue, Nuxt & more).
→ JavaScript bundle size analysis with optimization tips.
→ Side-by-side visual comparison (with/without JS).
→ Real-time performance metrics & network monitoring.
→ SEO crawlability scoring.
→ DOM diff analysis to see exactly what JS is changing.

Stop guessing. Start knowing.

Your users (and search engines) will thank you.

#WebDev #JavaScript #SSR #Performance #SEO #WebPerformance

Did you know you can get GMB Listing data as Excel or CSV in seconds? 🚀

I just built a powerful GMB Extension - A browser extension for market research and lead generation.

🔥 Key Features:

✅ Bulk Processing: Enter multiple keywords (e.g., "restaurants in mumbai", "plumbers in delhi") and process them all at once.
✅ One-Click Export: Download your data instantly as CSV or HTML (Excel compatible).
✅ Smart Dashboard: View, search, and filter your leads by rating, keyword, or address.

Perfect for lead generation, market research, and competitive analysis. 📊

#GMB #LeadGeneration #MarketResearch #SEO #GrowthHacking #FreeTools #ChromeExtension

🚀 𝐄𝐧𝐭𝐢𝐭𝐲𝐋𝐞𝐧𝐬: 𝐍𝐋𝐏 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐀𝐧𝐚𝐥𝐲𝐳𝐞𝐫 - 𝐋𝐞𝐯𝐞𝐥𝐢𝐧𝐠 𝐔𝐩!

Around 3 months ago, I built a prototype called EntityLens: NLP Content Analyzer, a professional NLP tool designed for Dependency Parsing and Named Entity Recognition.

I’ve been testing it internally, and it's now delivering ~85% accuracy across mixed content types solid for a first build.

Now I’m planning to upgrade the entire engine, experiment with deeper linguistic models, add smarter classifiers, and turn EntityLens into a high-performance NLP analysis system that can rival full-scale enterprise tools.

Excited to push this further 🚀 

#NLP #MachineLearning #AI #DeepLearning #EntityRecognition #NER #DependencyParsing #AIEngineering #Automation #LanguageModels #LLM #TextAnalytics #DataScience

🚨 Update on the LLMs.txt discovery 👀

Someone removed the LLMs.txt file lol. It was live few hours back when I posted and now it’s gone 😆 

Not assuming anything… just interesting (and kind of funny) lol.

#llmsTxt #GoogleUpdates #SEO #AIIndexing #FutureOfSearch #GenAI #TechnicalSEO

Just built a new Python tool for SEO content analysis. 🐍📊

It's called the Ultra SEO N-Gram Analyzer. It helps you understand what your content is actually about by stripping away the noise and focusing on the core text.

Here is what it does:

🔹 Extracts main content, ignoring headers, footers, and ads.
🔹 Cleans up text by removing common boilerplate and SEO fluff.
🔹 Calculates accurate n-gram density (1-5 words).
🔹 Visualizes the data with interactive charts.
🔹 Supports bulk URL analysis and CSV/Excel export.

Let me know if you'd like to check it out!

#SEO #Python #DataAnalysis #ContentMarketing #Streamlit #WebScraping #NLP

🔍 Did you know you can extract YouTube Data to Google Sheets within seconds?

Not new but a feature worth highlighting again from my Ultimate Automation Suite., there's a module where you simply paste a YouTube video URL and it automatically pulls a full dataset into Google Sheets using your YouTube API Key.

No scripts.
No manual copy-paste.
Just paste → done.

📌 Data you get instantly:

1. YouTube URL
2. Video ID
3. Title
4. Channel Name
5. Channel ID
6. Full Description
7. Description Preview
8. Tags
9. Published Date
10. Duration
11. Duration (Seconds)
12. Category ID
13. Category Name
14. Language
15. Default Audio Language
16. View Count
17. Like Count
18. Comment Count
19. Subscriber Count
20. Privacy Status
21. Upload Status
22. License
23. Embeddable
24. Definition
25. Thumbnail
26. Video URL

⏳ Setup takes 30 seconds:

Google Cloud → Enable YouTube Data API v3 → Create API Key → Paste into the Sheet.

That's it.

And this is just one block of the Automation Suite 👇

⚙️ It currently automates:

✔️ On-page audits.
✔️ Technical analysis.
✔️ Content insights.
✔️ Schema monitoring.
✔️ Image SEO audits.
✔️ YouTube data extraction.
✔️ Custom web extractions.
✔️ Play Store & App Store automation (ASO).

If you want the script DM me I will share you the Gumroad link.

#seo #automation #googleappsScript #digitalmarketing #youtubeanalytics #datascience #growth #contentmarketing #seotools #productivity #nocode #marketingautomation #marketingtools #googlesheets #apidata #aso #onpageseo

🚀 I tried Query Fan-Out with Mistral AI and the results surprised me...

So I finally got around to experimenting with query fan-out using a local LLM setup. Nothing too advanced, just a basic implementation because I wanted to see what's possible when you keep everything local.

Why? Because I'm a HUGE fan of local LLMs. 🔥

There's something incredibly satisfying about running AI models on your own hardware without relying on external APIs. The control, the privacy, the learning experience it's all worth it.

This is just the beginning though. The current setup is pretty basic, but it's a solid foundation. I'll definitely be upgrading this with more advanced features and optimizations.

Stay tuned for updates! 👀

#LocalLLM #Mistral7B #AI #MachineLearning #OpenSource #QueryFanOut #TechExperiments

🚀 I Just Built a Keyword Intent Analyzer with Mistral AI - And It's SCARY Accurate! 🤯

Seriously, Mistral is SO underrated for SEO automation.

While everyone's paying $$$ for GPT-4 APIs, I built a keyword intent classifier that runs 100% LOCAL on my machine with Mistral.

Here's what makes it special:
✅ Pattern-based detection + LLM fallback (hybrid approach).
✅ Classifies into 4 intent types with descriptions.
✅ Processes keywords in parallel for speed.
✅ Completely private - no data leaves your machine.
✅ Exports to CSV/JSON.

The best part? It's FAST, PRIVATE, and FREE to run!

The secret sauce? I combined keyword pattern matching with Mistral's intelligence. If patterns don't match, Mistral steps in. Best of both worlds! 🧠

This is just a basic setup right now - A proof of concept to test the waters. But the results are promising enough that I'm excited to take it further.

Next steps:
• Scale to 10k+ keywords.
• Add keyword clustering & theme detection.
• SERP intent analysis.
• Content gap identification.

Local LLMs are the future for SEO tools. No API costs, no rate limits, complete privacy. 🔥

Who else is building with Mistral or other local models? Let's connect!

#SEO #AI #Mistral #LocalLLM #KeywordResearch #SearchIntent #MachineLearning #OpenSource #SEOTools #DigitalMarketing #Ollama

I turned my Google Sheets into an AI Powerhouse... for $0. 🤫

Everyone is paying for expensive clustering tools. I just connected my local machine to the cloud.

Using the `nomic-embed-text` model running locally, I created a secure tunnel directly into Google Apps Script.

The result?
My spreadsheet now "thinks" on its own.

It takes thousands of raw keywords and automatically:
1. Creates semantic clusters
2. Identifies deep themes & sub-themes
3. Generates visual diagrams & summaries
4. Breaks down keyword intent

All running on my local hardware. No API bills. No data leaks.

If you know, you know. ⚡

#LocalLLM #SEO #GoogleSheets #Automation #AI #Nomic

🚀 Excited to announce major updates to Ultra AI Search Optimisation

With AI-powered search engines transforming how users discover information, understanding your brand's visibility across ChatGPT, Perplexity, and other AI platforms is no longer optional it's essential.

I've just shipped significant enhancements to my AI Citation Analytics platform:

✨ Sentiment Analysis - Track how AI platforms perceive your brand (Positive/Neutral/Negative).

✨ Keyword Extraction - Identify trending topics in your citation snippets.

✨ Expanded Coverage - Now analyzing Copilot & Bing Chat alongside ChatGPT, Claude, Gemini, and Perplexity.

✨ Smart Categorization - Automatic classification into Earned, Social, Owned, and Competitor citations.

This tool provides real-time insights into how major AI platforms cite and reference your brand across the web critical intelligence for modern SEO and brand visibility strategies.

⚠️ Important: As this is a solo-developed project, scaling to production infrastructure requires substantial resources. I'll be pausing active development unless the right opportunities emerge.

#ArtificialIntelligence #AI #SEO #DigitalMarketing #TechInnovation #MachineLearning #DataAnalytics #SearchEngineOptimization #AITools #MarTech #ContentMarketing #BrandStrategy #Innovation #Technology #SaaS

Ever wondered why some Reddit posts explode while others flop? I built 𝐔𝐥𝐭𝐫𝐚 𝐑𝐞𝐝𝐝𝐢𝐭 𝐌𝐋 𝐏𝐨𝐬𝐭 𝐀𝐧𝐚𝐥𝐲𝐳𝐞𝐫 to find out.

Everyone talks about "going viral" on Reddit, but what actually works? I decided to stop guessing and start analyzing.

Introducing the 𝐔𝐥𝐭𝐫𝐚 𝐑𝐞𝐝𝐝𝐢𝐭 𝐌𝐋 𝐏𝐨𝐬𝐭 𝐀𝐧𝐚𝐥𝐲𝐳𝐞𝐫! 🚀

It’s not just a scraper it’s a full-blown intelligence engine that decodes what makes a post explode.

Key Capabilities:

📥 Universal Data Ingestion: Live feeds, historical archives, or direct links.

🧠 Deep Semantic Analysis: Goes beyond keywords to understand emotional triggers & intent.

🤖 Predictive Success Engine: Forecasts engagement potential before you even post.

🏆 Proprietary Virality Score: A unique metric to gauge AI & Search ranking potential.

🔍 Pattern Discovery: Uncovers the hidden structures of top-performing content.

💡 Strategic Intelligence: Auto-generates actionable insights to optimize your content strategy.

Stop posting into the void. Let data drive your strategy! 

𝐍𝐨𝐭𝐞: 𝐒𝐭𝐢𝐥𝐥 𝐢𝐧 𝐭𝐞𝐬𝐭𝐢𝐧𝐠 𝐩𝐡𝐚𝐬𝐞 & 𝐞𝐚𝐫𝐥𝐲 𝐫𝐞𝐬𝐮𝐥𝐭𝐬 𝐥𝐨𝐨𝐤 𝐩𝐫𝐨𝐦𝐢𝐬𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐦𝐨𝐫𝐞 𝐮𝐩𝐝𝐚𝐭𝐞𝐬 𝐜𝐨𝐦𝐢𝐧𝐠 𝐬𝐨𝐨𝐧.

#Reddit #MachineLearning #DataScience #AI #Python #Streamlit #NLP #ContentAnalytics #TechProjects #OpenSource

🔍 Ever wondered which page should be your hero and which should support it?

I built page-gap-scanner – A lightweight CLI tool that compares two URLs from your site and generates a topic & internal linking gap report as CSV.

🎯 How it works:
→ Analyses two competing pages on your site
→ Automatically identifies the "winner" (deeper content, better structure)
→ Extracts topics from both pages (Title, H1-H3, visible text)
→ Finds what the supporter page is missing
→ Generates actionable CSV with suggested anchors & linking opportunities

💡 Perfect for:
✅ Internal linking strategies
✅ Topical cluster optimization
✅ Pre-consolidation analysis
✅ Content gap identification

📦 Installation:
pip install page-gap-scanner

⚡ Usage:
page-gap-scanner scan https://example.com/page-a https://example.com/page-b --output gaps.csv

The output CSV includes:
• Missing topics on supporter page
• Recommended changes
• Suggested anchor text
• Relevance scores (1-100)

No heavy NLP dependencies. No API keys. Just fast, opinionable SEO insights you can hand over to your content team.

Built with Python, BeautifulSoup, and Typer. MIT licensed.

#SEO #Python #CLI #InternalLinking #ContentStrategy #TechnicalSEO #OpenSource #SEOTools #ContentGaps #DigitalMarketing

Tested gemma2:2b for SEO not directly, but through a Toonify pipeline.

Website content is auto-extracted (Selenium), cleaned, compressed, and fed to gemma2:2b. The results? Offline content gap analysis + recommendations in under a minute.

Here's the workflow:
→ Scrape competitor pages (Selenium handles the heavy JS sites)
→ "Toonify" the content (strip HTML/CSS, keep clean text)
→ Feed processed text to gemma2:2b (via Ollama)
→ Get insights: content gaps, E-E-A-T signals, quick wins

The Reality?
It took ~60 seconds to analyze 1.5k+ words.
Slower than an API? Sure.

The Payoff:
✅ Zero API costs.
✅ Complete privacy (data stays on your machine).
✅ Works 100% offline.

Trading 60 - 120 seconds for total data ownership?

I'll take that deal any day.

And this is just the start. There's so much more to explore.

#SEO #LocalLLM #gemma2 #Ollama #AI #Python #Selenium #BuildInPublic

AI Overview content extraction is key!!! Finding keywords that can trigger it can definitely give you an edge, right?

Presenting the latest update to Ultra Rank, my keyword extension designed for the modern SEO landscape!

I've added what you need to build a data-driven SEO strategy in the age of AI:

✅ AI Overview Content Extraction: See what Google's AI is saying for your keywords.

✅ Accurate Keyword Rankings: Know exactly where you stand.

✅ Top 100 SERP Scraping: Analyze the entire search landscape and your competition's every move.

✅ Search Volume Data: Get directional insights into keyword demand.


𝐀 𝐧𝐨𝐭𝐞 𝐨𝐧 𝐭𝐡𝐞 𝐝𝐚𝐭𝐚: 𝐖𝐡𝐢𝐥𝐞 𝐈 𝐬𝐭𝐫𝐢𝐯𝐞 𝐟𝐨𝐫 𝐚𝐜𝐜𝐮𝐫𝐚𝐜𝐲, 𝐭𝐡𝐞 𝐬𝐞𝐚𝐫𝐜𝐡 𝐯𝐨𝐥𝐮𝐦𝐞 𝐝𝐚𝐭𝐚 𝐦𝐚𝐲 𝐡𝐚𝐯𝐞 𝐬𝐨𝐦𝐞 𝐝𝐢𝐬𝐜𝐫𝐞𝐩𝐚𝐧𝐜𝐢𝐞𝐬 𝐛𝐮𝐭 𝐩𝐫𝐨𝐯𝐢𝐝𝐞𝐬 𝐬𝐭𝐫𝐨𝐧𝐠 𝐝𝐢𝐫𝐞𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬. 𝐓𝐡𝐞 𝐀𝐈 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐢𝐬 𝐩𝐨𝐰𝐞𝐫𝐟𝐮𝐥 𝐚𝐧𝐝 𝐜𝐚𝐩𝐭𝐮𝐫𝐞𝐬 𝐭𝐡𝐞 𝐜𝐨𝐧𝐭𝐞𝐧𝐭, 𝐭𝐡𝐨𝐮𝐠𝐡 𝐢𝐭 𝐦𝐚𝐲 𝐬𝐨𝐦𝐞𝐭𝐢𝐦𝐞𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞 𝐦𝐢𝐧𝐨𝐫 𝐇𝐓𝐌𝐋 𝐟𝐨𝐫𝐦𝐚𝐭𝐭𝐢𝐧𝐠. 𝐓𝐡𝐞 𝐫𝐚𝐧𝐤𝐢𝐧𝐠 𝐚𝐧𝐝 𝐀𝐈 𝐜𝐨𝐧𝐭𝐞𝐧𝐭 𝐞𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐫𝐞𝐦𝐚𝐢𝐧 𝐭𝐡𝐞 𝐜𝐨𝐫𝐞, 𝐢𝐧𝐭𝐚𝐜𝐭 𝐟𝐞𝐚𝐭𝐮𝐫𝐞𝐬.

#SEO #SEOTools #DigitalMarketing #KeywordResearch #AIOverviews #SERPAnalysis #UltraRank

2025 wasn’t about choosing one lane, it was about proving I could grow in all of them.

1. Full-time SEO.
2. Building automation + AI tools.
3. Music production on the side.

Three lanes. One direction progress.

Career, innovation, and creativity can coexist when execution is consistent.

#SEO #Automation #AITools #MusicProducer #SideHustle #CreatorLife #CareerAndPassion

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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);}Amal Alexander's LinkedIn Performance

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Performance ScoreAmal Alexander's LinkedIn Performance