Hey, I'm available for work · B2B SaaS SEO & Content
Deepanshu Sharma
B2B SaaS SEO Strategist · Technical SEO · AI Automation · GEO / AEO
The SEO who builds AI tooling for SEO teams — strategy, execution, and automation, end to end.
3+ years building organic growth engines for B2B SaaS across US/UK markets. Sole SEO owner at Lepide, where I architected a 4-pillar topical authority framework that drove 299,994 organic clicks and 11.4M impressions. Builder as well as strategist — shipped an n8n + LLM agent that automates Google Search Console reporting. Currently focused on GEO (Generative Engine Optimization) and programmatic SEO.
I am building a live AI visibility benchmark for B2B SaaS brands.
The report studies how ChatGPT, Perplexity, and Google AI Overview mention SaaS brands — and whether they cite the brand’s own website. The early CRM & Sales sample shows the key SEO gap: AI often recognizes brands, but owned citations are much harder to earn.
Core finding: being mentioned in an AI answer is not the same as being trusted as the cited source.
👤 Background
Career Journey
Started out editing meta tags on WordPress sites. A few years later I was running the full SEO and content strategy for a global B2B SaaS brand. Here's how that happened.
Apr 2024 – Jan 2026
Lepide Software Pvt. Ltd.
SEO Specialist (Sole SEO Owner) · B2B SaaS, Data Security & Governance
SEO StrategyContent FrameworkTopical AuthorityGA4 & GSCDigital PROff-Page SEO
Lepide had high impressions but low CTR and no structured content strategy. As sole SEO owner, I architected a 4-pillar topical authority framework mapped across TOFU/MOFU/BOFU intent, shipped 34 intent-optimised content briefs, and rebuilt internal linking into a hub-and-spoke model. In 7 months this drove 41% organic traffic growth and fed the inbound lead funnel across US, UK, and CA markets.
+41%
Traffic Growth
52
Page 1 Keywords
−15%
Bounce Rate
2022 – 2023
DevCloud Solutions Pvt. Ltd.
Digital Marketing Lead · Tech / Cloud SaaS
SEO StrategyContent ClusteringCRO & A/B TestingGA4 Analytics
Ran both paid and organic at a B2B cloud tech company. Competitor gap analysis surfaced
50+ keyword opportunities we weren't targeting, content clusters pushed impressions up 30%
in 4 months, and tighter Google & LinkedIn campaigns cut CPL by around 22%.
+30%
Impressions
50+
KW Opportunities
−22%
CPL Reduced
2021 – 2022
Instant Info Solutions
SEO Executive · Digital Marketing Agency, B2B / B2C, WordPress
WordPress SEOTechnical SEOMeta Optimisation
My first real SEO job: managing 5+ live WordPress sites, rewriting meta tags on 100+
pages based on GSC CTR data, fixing crawl errors, and supporting B2B outreach campaigns
targeting US and UK clients. CTR improved 12% across the sites I worked on.
💭 Reflection
This role taught me that SEO decisions need to be rooted in real data, not guesswork. Watching CTR move when you rewrite a title tag based on actual impressions vs. clicks in GSC changed how I approach every brief I write now. The fundamentals I built here (clean site structure, intent-matched meta, crawl hygiene) became the base I applied at every role after.
+12%
CTR Improved
5+
WP Sites Managed
B2B
Int'l Outreach
2023 – Present
mztect.in
Founder · Digital Marketing Blog
Own PropertySEO BlogContent Strategy
I started mztect.in to test what I'd learned without client constraints.
Built it from scratch, using the same pillar/cluster approach I used at Lepide, targeted
mid-tail keywords with lower KD, and tracked everything in GA4 and GSC from day one.
🎓 Education
MBA in Marketing
KIET University (KIET Group of Institutions) · 2023–2025
My actual SEO process, built from 3 years of trial and error, not a certification course. Click any step to see exactly how I applied it at Lepide.
👉 In short:I identified high-impression, low-CTR pages and prioritised quick SEO wins using GSC data — improving organic acquisition from existing traffic.
🔍 Discovery & Audit: What I did at Lepide
Before writing a single word, I started with a full site audit of lepide.com using Google Search Console, Ahrefs, and Sitebulb. I identified pages with high impressions but poor CTR, crawl errors, and content gaps where competitors were ranking but Lepide wasn't.
📋 What the GSC Audit Revealed
Found 10+ high-impression queries with CTR below 1%. Identified that how-to guides were outperforming standard blog posts in engagement, while weak internal linking was increasing bounce rate on non-how-to pages.
🔑 Competitor Gap Analysis Findings
Analysed top competitors including Varonis, Netwrix, ManageEngine, SolarWinds, and StealthBits. Found 50+ keyword clusters where competitors ranked on page one but Lepide had no supporting content.
🎯 Priority Opportunities Identified
Mapped 200+ keywords by search intent, split quick wins from long-term targets, and created a priority matrix to sequence content production for faster ranking gains.
🚨 High Impression / Low CTR: Found in Audit
Keyword
Impr.
CTR
Pos.
office 365 login
249,196
0.01%
10.2
active directory
183,816
0.40%
7.7
gpo
157,455
0.02%
7.7
windows event log
143,291
0.24%
9.1
data loss prevention
138,764
0.16%
8.9
ransomware protection
98,765
0.17%
9.5
🚀 Action Taken: These became top-priority title tag & meta description optimisation targets in Month 1.
👉 In short:Built content structure based on keyword gaps — aligning each cluster to search intent and buyer journey stages to drive inbound traffic.
Using the audit findings, I designed a 4-pillar topical authority framework for Lepide, treating the site as a content hub. Each pillar has a parent page, multiple cluster pages, and supporting content targeting all 3 buyer journey stages.
🔵 Data Security
8 clusters · 24 topics
🟢 Data Access Governance
6 clusters · 18 topics
🟡 IT Compliance
5 clusters · 15 topics
🔴 Emerging Topics
5 clusters · 15 topics
🎯 3 Buyer Persona Alignment: Each cluster topic was mapped to 3 content levels: Functional (IT Admins), Technical (IT Managers), Executive (CISOs/CIOs)
├ Best Practices for Cybersecurity Training (Awareness)
├ Advanced EDR Techniques (Technical)
└ Risk Management for Executive Leaders (Decision)
📂 CLUSTER: Ransomware
├ Understanding Ransomware Threats (Awareness)
├ How to Detect Ransomware Early (Technical)
└ Incident Response Plan Template (Decision)
+ 6 more clusters under this pillar...
👉 In short:Created intent-based content across funnel stages — supporting lead generation and driving inbound traffic at every buyer touchpoint.
✍️ Content Creation: What I Actually Built
Based on the strategy, I created a 6-month editorial calendar with 34 content pieces. Every piece had a detailed brief covering target keyword, search intent, word count, internal links required, and CTA. Content types were diversified across the funnel.
📝 Blog Posts
14 pieces
Awareness + Consideration
📊 White Papers
4 pieces
Consideration + Decision
🎬 Videos / Webinars
5 pieces
Decision stage
📖 eBooks
3 pieces
Awareness + Lead Gen
📌 Infographics
4 pieces
Awareness + Social
📋 Case Studies
4 pieces
Decision + Sales Enablement
📌 Every brief included: Primary keyword · Secondary keywords · Search intent · Competitor URLs to beat · Word count · Internal linking targets · CTA placement · Schema type
📅 Sample Editorial Calendar: Oct 2024
Oct 1Consideration
Case Study: Ransomware Detection
Data Security · Email, LinkedIn
Oct 6Decision
Webinar: SOX Compliance Automation
IT Compliance · Email, LinkedIn
Oct 11Awareness
Active Directory Security Hardening
Data Access Gov. · SEO, Social
Oct 16Decision
DLP Solution Comparison
Data Security · SEO, PPC
Oct 21Consideration
GenAI Data Leakage Risks
Emerging Topics · SEO, Social
Oct 26Awareness
HIPAA Compliance Checklist 2024
IT Compliance · Social, Email
👉 In short:Fixed technical issues impacting crawl and performance — improving indexing, page speed, and site structure to support organic acquisition.
⚡ Technical SEO: What I Fixed
Alongside content, I worked on resolving technical SEO issues identified through Sitebulb, GSC, and PageSpeed Insights. These fixes helped boost crawl efficiency and page experience scores.
🚀
Core Web Vitals (CWV)
Audited LCP, CLS, INP across top 20 pages. Recommended image compression, JS deferral, and preload hints for hero images.
✅ CWV passed on 15+ key pages
🕷️
Crawl & Indexing Issues
Used GSC to identify and resolve 68 non-indexed pages. Fixed canonical tags, duplicate meta descriptions, and orphan pages via sitemap updates.
✅ Index coverage improved 40%
🔗
Internal Linking Structure
Built a hub-and-spoke linking model where all cluster pages point to the pillar page and pillar pages link to key product pages. Added 3–5 contextual links per new article.
✅ Bounce rate reduced by 15%
📋
Schema Markup
Added HowTo schema to all how-to guides, FAQ schema to product pages, and Article schema to blog posts.
✅ Rich snippets on 8+ pages
🏷️
GTM Tag Deployment
Set up GA4 events via GTM for scroll depth, outbound clicks, form submissions, and CTA interactions.
Performed technical CWV audits for client websites. Used PageSpeed Insights + real CrUX field data to diagnose and prioritise fixes. Wrote detailed fix strategy documents with code-level recommendations.
🛠️ Tools Used for Technical SEO
⚙️ Google Search Console
⚙️ Sitebulb
⚙️ PageSpeed Insights
⚙️ GTM
⚙️ Screaming Frog
⚙️ Ahrefs Site Audit
⚙️ GA4 Debug View
⚙️ Chrome DevTools
👉 In short:Measured results and optimised continuously — tracking organic traffic, rankings, and conversions to improve decision-making speed.
📊 Measure & Iterate: Reporting & Insights
Every month, I produced a performance report using Looker Studio, GA4, and GSC data. Reports covered organic traffic trends, ranking movements, content performance, and conversion tracking.
📄
Monthly SEO Report
Clicks, impressions, CTR, average position vs. previous month. Top winning pages and declining pages.
Identified best and worst-performing content pieces. Refreshed underperforming pages with updated data, new headings, and better internal links.
🎯
GA4 Conversion Tracking
Tracked demo requests, contact form fills, and whitepaper downloads per organic session using GA4 Events via GTM.
🔭
Competitor Monitoring
Monthly check on competitor ranking changes, new content published, and backlink acquisition patterns via Ahrefs Alerts.
📊 6-Month Traffic Growth Snapshot
Sep → Feb
+38%
Impr.
+41%
Bounce
−15%
+38%
Organic Traffic
+41%
Impressions
−15%
Bounce Rate
🏆 Featured Work
Lepide Software: Deep Dive
Lepide is a B2B SaaS platform for Active Directory auditing, data security, and IT compliance. High impressions, low CTR, no content structure — I fixed all three. Here's exactly what I built to drive organic acquisition and improve inbound lead opportunities.
299K+
Organic Clicks Generated
35–45%
Traffic Growth
50+
Keywords Ranked Top 10
−15%
Bounce Rate Reduction
Company Profile
Lepide Software Pvt. Ltd.
🌐 lepide.com · Global B2B SaaS
🎯 Niche: Data Security, Active Directory, IT Compliance
🏢 Target: Enterprise IT Admins, CISOs, Compliance Officers
🗺️ Markets: US, UK, Canada, Australia, Europe
299,994
Organic Clicks
11.4M
Impressions
US · UK · CA AU · DE · SG
Top Markets
2.62%
Avg. CTR
📚 Topical Authority Framework
The SEO Architecture I Built for Lepide
Lepide had a real problem: tons of impressions, but no content hierarchy, no internal link logic, nothing connecting blog posts to product pages. So I mapped the entire site into a 4-pillar structure, built cluster pages around real buyer problems, and connected everything to push people toward demo requests. Took about 6 months to see results. Here's the actual architecture.
Intent:TOFU · AwarenessMOFU · ConsiderationBOFU · Decision· Click any pillar to expand the full tree
🔵Data SecurityPillar 01 · 8 clusters · 24 topics▼
Ransomware Detection
├──TOFUWhat is Ransomware? A Plain-English Guide for IT Teams4,400/moBlog
├──MOFUHow to Detect Ransomware Before It Encrypts Your Files1,600/moUse Case
├──TOFUGenAI Data Leakage Risks for Enterprises1,800/moBlog
├──MOFUHow to Implement Zero Trust for Remote Teams1,300/moGuide
└──BOFUAI-Powered Threat Detection: Lepide Use Case720/moUse Case
Why this cluster:GenAI security search volume grew roughly 4x in 2024. These topics were planned and published early, before competitors caught on. Got early rankings in a space that was still wide open.
How content connects across the funnel
1
TOFU
Blog Post
Broad awareness topic. High volume, low competition. Pulls in organic traffic from IT admins searching for definitions and how-tos.
2K–5K/mo KWsInformational
2
MOFU
Use Case / How-To
Problem-solution content. Linked from the blog. Shows the reader Lepide solves their specific problem without hard-selling it.
800–2K/mo KWsNavigational
3
BOFU
Product Page
Commercial intent. Ranks for "best X software" and comparison keywords. CTA copy matches the specific pain point, not a generic button.
200–900/mo KWsCommercial
4
Convert
Demo Request
The actual goal. Every piece in the chain ends here. Intent-matched CTA copy per page, so the ask feels natural not forced.
Inbound LeadPipeline
🔗 How All Pages Connect: The Internal Linking Model
Identified and contacted 30+ niche cybersecurity and IT publications for guest post placements on behalf of Lepide. Crafted personalised outreach emails with tailored pitch angles for each target site.
✍️
Article Placement & Publishing
Managed end-to-end publication of guest articles on third-party websites: topic ideation, brief writing, editor follow-ups, and final submission. Published articles built relevant backlinks and strengthened Lepide's domain authority.
🔗
Link Building & Brand Mentions
Built quality contextual backlinks through guest posting, resource page outreach, and digital PR. Targeted DR 40+ sites in the data security, IT compliance, and cybersecurity niches to reinforce Lepide's topical authority.
Featured across high-authority platforms and industry publications.
✍️ Guest Publications / PR Mentions
TechRadar ProGuest Article
10 Cybersecurity Best Practices to Prevent Cyber Attacks in 2024
Contributed expert insight on enterprise cybersecurity best practices for TechRadar Pro's B2B audience, one of the world's most-read tech publications.
US led organic clicks, with India and the UK as the next strongest markets.
📱 Device Breakdown
Desktop87.4%
262,208 clicks
Mobile12.4%
37,091 clicks
Tablet0.2%
695 clicks
65%+
Bounce Rate (Before)
~50%
Bounce Rate (After)
🏢 Previous Experience
Other Company Work
Before Lepide: where I built the foundations and figured out what actually works in SEO
🏢 DevCloud Solutions · 2022–2023
DevCloud was a B2B cloud tech company targeting IT decision-makers, and I was running SEO solo. I had to build everything from scratch: keyword map, content architecture, briefs, on-page optimisation, and eventually CRO work when traffic wasn't converting the way it should. Impressions grew 30% in about 5 months.
🔍
Keyword Research & Content Strategy
Identified 50+ keyword gaps across 'cloud solutions', 'devops', 'managed services' by analysing Ahrefs, GSC data, and SERP features of top 5 B2B competitors
📦
Content Cluster Architecture
Built pillar + cluster content model across 3 core topics. Mapped 30+ pages by search intent (awareness/consideration/decision), increasing organic impressions by 30% in 4 months
🔧
On-Page SEO & Technical Fixes
Audited and rewrote title tags, H1/H2 structure, meta descriptions, and internal linking for 40+ pages. Fixed duplicate content and crawl errors using Screaming Frog + GSC
🎯
CRO & Landing Page Optimisation
Analysed heatmaps (Hotjar) and session recordings to identify drop-off points. A/B tested hero section copy, CTA placement, and form length, improving demo page conversion rate by 18%
📊
GA4 & User Behaviour Analysis
Set up GA4 event tracking for scroll depth, outbound clicks, and form completions. Used user flow reports and engagement metrics to prioritise content refreshes and UX improvements
My first proper SEO role. I was managing 5+ WordPress websites for a B2B company with clients in the US and UK: on-page work, meta rewrites, crawl fixes, and content planning. This is where I learned to actually use GSC data to make decisions instead of just guessing.
🔧
WordPress SEO Implementation
Set up Yoast SEO, optimised meta tags, created XML sitemaps, and fixed crawl errors across 5+ websites
🏷️
Meta Optimisation
Rewrote title tags and meta descriptions for 100+ pages based on CTR data from GSC. Average CTR improved 12%
🔗
On-Page Optimisation
Keyword placement, header tag hierarchy, image alt text, internal linking structure across all managed sites
🌐
International B2B Outreach
Supported outreach campaigns targeting US and UK markets through optimised landing pages and email sequences
📋
Content Strategy
Planned and executed blog content calendar targeting informational keywords to build domain authority
Getting traffic to rank is only half the job. I also look at what users do after they land: where they drop off, which CTAs they ignore, and what's stopping them from converting. Heatmaps, session recordings, GA4 funnels, then structured A/B tests to fix it.
🔥
Heatmap & Session Recording Analysis
Used Hotjar to map click clusters, scroll depth, and rage-click zones on key landing pages. Identified that 65% of users dropped off before the CTA, which informed a full page restructure
🧪
A/B Testing: CTA & Hero Copy
Ran A/B tests on hero section headline, CTA button text ("Get a Free Demo" vs "See It in Action"), and form field count. Winner variant lifted demo request CVR from 2.1% → 2.5%
📊
GA4 User Flow & Funnel Analysis
Built custom GA4 funnels tracking: organic landing → product page → demo CTA → thank-you. Pinpointed 40% drop-off at product page, fixed via content restructure and trust signals
📋
Form & Landing Page Optimisation
Reduced form fields from 7 to 4, added social proof (customer logos + review badges), rewrote benefit bullets using Jobs-to-be-Done language, improving form fill rate by 22%
📈 CRO Impact Metrics
Demo Page CVR
Before → After
2.1% → 2.5% (+18%)
Form Fill Rate
Before → After
11% → 13.4% (+22%)
Bounce Rate Drop
After restructure
−15% bounce rate
Scroll Depth (Avg)
After CRO fixes
Up to 68% from 42%
🛠️ CRO & Analytics Stack
HotjarGA4 FunnelsA/B TestingUser Flow AnalysisGTM EventsSession RecordingsHeatmapsLooker Studio
Live research asset · GEO / AEO
Research in progress
B2B SaaS AI Search Visibility Report
I am building a research-backed dashboard to measure how SaaS brands appear across ChatGPT, Perplexity, and Google AI Overviews. The core question is simple: AI may know a brand, but does it trust the brand enough to cite its own website?
The report turns raw AI answers into a repeatable scoring framework for modern SEO: brand mentions, owned-domain citations, answer position, competitor density, response format, and platform-level behavior.
Status: research is actively expanding from the current CRM & Sales sample toward the full 900-answer benchmark. The live dashboard shows current findings, methodology, and evidence as the dataset grows.
AI visibilityGEO / AEOCitation trackingSaaS SEOData storytelling
The project tests whether AI-search visibility is driven by brand authority, content quality, comparison pages, pricing pages, documentation depth, or platform-specific citation behavior. It is designed to move GEO/AEO from opinion into measurable signals.
Brand mentioned
86.4%
Owned citation
19.4%
First position
52.4%
Why this matters for SaaS SEO
Traditional SEO measures rankings and clicks. AI-search visibility adds a new layer: whether the AI answer names the brand, whether it cites the brand, and whether competitors are framed more clearly. This report shows how to evaluate that shift with a structured scoring model.
Business implication: SaaS teams need pages that are not just rankable, but citation-worthy — clear comparison pages, pricing explanations, use-case pages, product positioning, and evidence-rich content AI can confidently reference.
1
Build query library
Buyer-style prompts across alternatives, pricing, use cases, integrations, and comparisons.
2
Collect AI answers
Run each query across ChatGPT, Perplexity, and Google AI Overview for platform comparison.
3
Score with GVI-6
Track mention, citation, position, competitors, response type, and confidence signal.
4
Turn rows into strategy
Convert raw answers into charts, scorecards, opportunity maps, and action recommendations.
🚀 Featured Projects
Data & Analytics Projects
Real projects combining AI, automation, and SEO: a natural language GSC agent built in n8n, SEO competitor intelligence dashboards, a GA4 funnel & CRO workbook, and analytical tools built from real data.
⭐ FEATURED PROJECT
🤖 SEO Automation · AI Workflown8n · Google Search Console API · LLMPersonal Project · 2025–Present
AI-Powered SEO Automation: Google Search Console Agent
An SEO automation workflow that lets you ask plain-English questions and get instant answers from Google Search Console — no manual clicking, no dashboards, no waiting. Built to save time on the most repetitive parts of SEO work and free up focus for strategy.
🔴 The Problem
As an SEO, I was spending too much time doing the same manual checks every day — logging into Search Console, filtering by URL, switching between tabs to check indexing, clicks, and impressions. It was repetitive, slow, and pulled attention away from actual SEO strategy.
✅ The Solution
I built an AI workflow using n8n that connects directly to Google Search Console APIs. You type a plain-English question — it figures out what you need, calls the right API, and returns a clean, readable answer in seconds.
⚡ What It Does
🔍
Check Indexing Status
Ask "Is this page indexed?" — get an instant yes/no with full crawl details, no manual lookup needed.
📈
Pull Page Performance Data
Ask "How many clicks did /pricing get last month?" — get clicks, impressions, CTR, and average position in one response.
🚀
Submit URLs for Indexing
Say "Index this URL" — it submits directly via the Google Indexing API and confirms the result immediately.
🛠️ How I Built It (Simply Put)
1 A chat trigger in n8n receives the question and extracts the URL + intent
2 A routing node decides: index check, traffic data, or URL submission
3 The right Google Search Console API is called automatically
4 The AI formats the raw API response into a clean, plain-English answer
📸 Real Proof — Screenshots From the Live Build
✅ Live output: Agent correctly identifies mztect.in as indexed — Verdict: Pass, Coverage State: Indexed, Indexing State: Live, Last Crawl Time: Recent. Plain-English answer, no manual lookup.
⚙️ Full workflow in n8n: Chat trigger → Extract User Intent → Route by Intent → 3 branches (Index Check, Traffic Data, URL Submission). Each branch has its own AI agent and API call.
🔴 Error encountered: "Forbidden — You do not own this site." This happened when the AI dynamically extracted the URL as the property string, but the verified GSC property used a different format (sc-domain: vs https://).
✅ Fix applied: Hardcoded the exact verified property string in the HTTP Request node body instead of letting the AI extract it dynamically. Error eliminated, all queries now return clean results.
📊 Impact & Business Value
Manual lookup time saved~10x faster
SEO tasks automated3 core workflows
APIs connected3 GSC APIs
Manual dashboard visitsEliminated
💡 Why This Matters for SEO Teams
Most SEOs still check Search Console manually, one URL at a time. This system automates the most time-consuming lookups — so the team spends less time on data collection and more time on decisions that actually grow organic traffic.
This project demonstrates that I don't just do SEO — I build systems to make SEO faster and more scalable. It shows practical AI application, workflow thinking, and a focus on reducing manual work without losing accuracy.
🔍 SEO PROJECTB2B SaaS · Cybersecurity · US/UK
Lepide SEO Competitor Intelligence Dashboard
Lepide.com · SEO Lead · 2023–Present · US & UK Markets
Built a full-stack SEO competitor intelligence system for Lepide, a B2B cybersecurity SaaS, tracking share of voice, traffic sources, brand mention growth, and keyword gaps across 8 direct competitors. Delivered as an interactive 7-tab HTML dashboard with live Chart.js visualisations, sortable tables, animated KPIs, and a prioritised action plan.
📋 7 Intelligence Modules
📊
Share of Voice & Market Position
Doughnut chart of organic SOV across 8 competitors · Lepide at 18% SOV vs Varonis 28%, ManageEngine 22%
🚦
Traffic Source Intelligence
Side-by-side traffic mix for each competitor: organic vs paid vs referral vs social, identifying channel gaps Lepide can exploit
📣
Brand Mention Growth Tracker
12-month line chart of brand mentions across G2, Gartner, Reddit, LinkedIn. Lepide growth rate benchmarked vs market
🎯
Keyword Gap & Action Plan
193 keyword gaps identified with difficulty scores, search volumes and intent mapping · 12 prioritised quick-win actions
Google Merch Shop · Property 213025502 · Feb 27 – Mar 26 2026 · 28 Days
I built a 3-tab Google Sheets dashboard to analyse GA4 funnel drop-offs for the Google Merch Shop. It pulls real data, runs ICE scoring on 14 A/B test candidates, shows 19 CRO recommendations with expected lift estimates, and renders live charts, all wired up through Google Apps Script.
📋 3 Interactive Sheets
📊
Dashboard
8 KPI cards · 7-step drop-off funnel with CRITICAL/HIGH severity · 9-channel traffic table · BAR + donut charts embedded
🏆
ICE Scoring Matrix
14 CRO tests ranked by Impact × Confidence × Ease · live formulas · $96,600/mo total lift · embedded ranking chart
🤖
AI CRO Suggestions
19 AI-generated fixes across Home, YouTube, Cart & Checkout pages · current state vs. recommended action · est. lift %
Google SheetsGoogle Apps ScriptGA4ICE FrameworkCRO StrategyEmbedded ChartsAI RecommendationsFunnel Analysis
💼 Skills & Tools
Competencies & Stack
Tools and skills I've actually used in B2B SaaS roles, not a list of things I've read about
🔍 SEO & Off-Page
International SEO (US/UK)
92%
Topical Authority Building
90%
Keyword Research & Clustering
92%
Technical SEO / Core Web Vitals
82%
Off-Page SEO & Link Building
80%
Guest Post Outreach & Digital PR
78%
📝 Content & Strategy
Content Framework Design
90%
Editorial Calendar Management
88%
Competitor Gap Analysis
85%
Search Intent Mapping
88%
Buyer Persona Development
84%
Multi-Channel Distribution
80%
⚡ Paid & Analytics
GA4 & Google Analytics
85%
Google Search Console
92%
Google Ads (PPC)
78%
LinkedIn Ads
75%
Looker Studio Reporting
80%
Marketing Automation (n8n / HubSpot)
74%
🧪 CRO & Digital PR
Conversion Rate Optimisation
80%
A/B Testing & Experimentation
78%
Heatmaps & Session Recordings
82%
User Behaviour Analysis
80%
Digital PR & Brand Mentions
76%
Outreach & Publisher Relations
78%
🚀 Expanding Intoactively learning, applying to real projects
🛒 E-commerce SEO
Category Page Architecture
60%
Product Page Optimisation
58%
Faceted Navigation & Crawl Budget
50%
Seasonal Keyword Planning
62%
Schema Markup (Product/Review)
55%
🤖 AI-Powered SEO Automation
AI Content Brief Generation
68%
Automated Keyword Clustering
65%
LLM Prompt Engineering for SEO
70%
n8n / Automation Workflows
60%
Python for SEO Data Pipelines
52%
🔍 SEO & Research
🔍
Ahrefs
📊
GA4
🔎
GSC
🏷️
GTM
🌐
Semrush
🕷️
Screaming Frog
🔬
Sitebulb
⚡
PageSpeed
✍️ Content & CMS
📝
WordPress
🎨
Canva
📋
Notion
📊
Excel
📈 Ads & Analytics
🎯
Google Ads
💼
LinkedIn Ads
📈
Looker Studio
📊
GA4 Reports
🧪 CRO & User Behaviour
🔥
Hotjar
🧪
VWO
🎯
Microsoft Clarity
📉
Funnel Analysis
🔀
A/B Testing
⚙️ Marketing Automation
🤖
HubSpot
📧
Mailchimp
🔁
n8n
📬
Buffer
📱 Social Media Management
🌿
Sprout Social
🦉
Hootsuite
Let's Grow Your Organic Traffic
I combine SEO, analytics, and automation to drive scalable organic growth and improve execution efficiency. 3+ years in B2B SaaS, 299K+ organic clicks, and now building AI-powered workflows. If you want someone who can take ownership and show you results — let's talk.
