I lead SEO strategy for 25+ client accounts at Lazarus Digital, across 15+ industries from pool construction to physical therapy, finance, and travel. Each property kept its Search Console data in a separate silo, month by month, impossible to compare.
No cross-client view. No benchmarking. No way to tell a site issue from an algorithm shift. We were flying without instruments.
So I built Pulse.
A shared intelligence layer holding 17+ months of GSC data across every property in the portfolio, pulled on a regular cycle by Python scripts I wrote against the Search Console and SEMrush APIs. Ask it anything in plain English:
Client conversations became data-backed: "Accounts in your category see 15-20% position lift in six months. You're at month four, and here's your curve." It also compounds. Every pull makes the dataset more useful.
It's how I can say with confidence that every one of the 20 accounts tracked since May 2025 improved in average position, with a median gain of 12.9 positions, and that accounts averaging page one went from 0 to 6.
Pulse sits inside a shared AI workspace I set up for the team, alongside 10+ AI-assisted workflows, including a keyword-to-outline content pipeline with human approval gates and a monthly reporting workflow. Nobody starts from zero, and the analytics are one question away.
Search doesn't end at Google anymore. I built Lazarus's AI-visibility (AEO/GEO) practice the same way: measure first. That meant reporting on whether clients show up in AI answer engines, a tracking cadence and budget plan for leadership, and llms.txt files for client sites.
Raw clicks, impressions, CTR and position pulled from Google Search Console and SEMrush for every client property.
Custom pull scripts, developed with AI assistance, normalize each property's export, tag it with the month it covers, and append it to the master file.
One consolidated dataset: 17+ months of every metric, every client, in a single source of truth.
A Claude project loaded with the master file and the context to reason across the whole portfolio at once. It's the layer that lets the rest of the team use the data without touching a script or a raw export.
Ask in plain English; get analysis, trend breakdowns and visual summaries back in seconds.
Writing as Rayhaan Jay, I wrote and published Luna's Colour Quest, a picture book for children ages 3 to 7 about curiosity, colour, and learning to notice the everyday. It draws on the photographer in me as much as the writer.
It's here because a book is a long project with no manager, no deadline, and nobody checking the work. Finishing one well takes what growth work takes: a clear reader, a structure that holds, and the patience to revise until it lands.
My training started in media and design (BA, Media and Communications; HND, Graphic Design) before business (MSc, Business Development and Innovation). That's why I still care how a thing reads and looks, not only what it measures.
A media house, a consultancy, a game studio, an agency, a classroom, and a book. Across all of them, a few rules have held. These are the ones I'd bring to your team on day one.
Before I write a strategy, I want every number I can get: the funnel end to end, channel performance, activation, retention, churn. The first deliverable is a diagnosis, not a plan. Where's the biggest leak?
A campaign ends. A repeatable engine with clear inputs, outputs, and attribution keeps paying back. Pulse, the Hit Factor content system, and my workshop frameworks all came from the same instinct. If it only works when I'm in the room, it isn't finished.
Organic has to produce signal before paid can amplify it. Spending budget to learn what content could have told us first is the wrong order of operations. Set the success criteria before launch, run it, read the data, then decide.
Data nobody understands doesn't change decisions. The brand strategist in me cares as much about how a finding is framed as about the finding itself. A good report reads like a clear story with evidence attached.
This page started as a job application. Rather than write another paragraph about how I think, I built something you can move through. I'd rather show you the work.