Page 1 rankings in 5 months, then 57.6K AI citations
Technical SEO and content strategy for a Canadian finance micro-SaaS product, built from zero search visibility.
I help B2B SaaS, cybersecurity, and MSP companies grow organic and AI search visibility. Every number on this site is sourced. No task lists, no vague outcomes, just what happened and where the data came from.
Case studies
Technical SEO and content strategy for a Canadian finance micro-SaaS product, built from zero search visibility.
Fixed indexing across 300+ products for a 70-year-old specialty paint manufacturer.
Platform migration and custom agent pages for a Dubai real estate agency.
Content strategy and technical SEO for a Canadian commercial real estate software platform.
On-page optimisation and local content targeting for an Ontario apartment rental company.
High-intent keyword targeting for a Canadian creative agency, refined for qualified leads over broad traffic.
Why work with me
Every recommendation starts with research into your market and your competitors. I do not guess at what will move rankings. I test it against your specific business goals first.
I have worked through every major Google algorithm update since 2010, Panda, Penguin, BERT, and the Helpful Content Update among them. That history shapes practices built to hold up over time, not just this month ranking factors.
You work with me from strategy through execution. No account managers, no outsourcing. Just the person you hired, doing the work personally.
Trusted by businesses in diverse markets
From AI SEO strategy to managed execution, and everything in between.
See how I can helpComplete SEO, from AI discovery to proven results
Dashboard screenshot placeholder, roughly 1280x800, rendered with object-fit contain. Real search visibility dashboard to be supplied.
A complete search strategy is four connected pieces of work, not four separate services picked off a menu. Technical foundations make a site crawlable. Content structured for how AI models actually select sources. Authority that both Google and AI systems weigh when deciding who to trust. Visibility tracking that ties all of it back to real numbers. Each piece works on its own. Built together, they compound.
Search engines and AI models both depend on the same starting point: a site they can actually crawl, index, and parse correctly. I fix the technical issues that block that, indexing gaps, site speed, schema markup, and mobile performance, before touching content or authority. It is unglamorous work, and it is the work that determines whether anything else here is worth doing at all.
Ranking on Google and getting cited inside a ChatGPT or Perplexity answer are different problems with different mechanics. I structure content, entities, and data specifically for how large language models select and quote sources, not just how Google scores a page. This is the same methodology behind a documented case producing 57,600 Microsoft Copilot citations for one client over six months.
Authority still matters, arguably more, in a world where an AI model has to decide which sources to trust enough to cite. I build it through direct, relationship-based outreach to relevant industry sites and publications, not volume link-building. Every placement is chosen because it strengthens a real trust signal, not because it was cheap to acquire.
You cannot manage what you cannot see. I track visibility across both traditional search results and AI-generated answers, so a client knows precisely where they rank, where they are being cited, and which content is actually driving qualified traffic. Every report ties back to a real, named data source, not an estimate.
Industries served
I work across a handful of technical B2B verticals where generic SEO advice consistently falls short of what these buyers are actually searching for.
Long sales cycles, technical buyers, and high-value commercial keywords most tools underprice.
Buyers who research extensively before contacting a vendor, and content that has to earn technical credibility.
Compliance-driven search behaviour and a buyer group spanning technical and procurement stakeholders.
Specialised product lines and contractor-level search intent, built for genuine subject-matter depth.
FAQ
Most of my work sits inside B2B SaaS, cybersecurity, MSP, and MSSP companies, plus some manufacturing clients. These are products with longer sales cycles and technical buyers, which changes how search strategy needs to work. Generic SEO advice rarely holds up in that environment.
Both. Some engagements run as an outside consultant delivering a full strategy end to end. Others have me working directly inside a client existing marketing team, reporting into their structure and using their existing tools and workflows rather than replacing them.
It depends on the problem. Some clients need a focused sprint, a technical audit or a specific fix delivered on a fixed timeline. Others run an ongoing monthly retainer. A few have brought me in for a defined period to work alongside their team on a specific initiative. I structure the engagement around what the problem actually needs, not a fixed package.
Rankings and traffic matter, but only as a step toward something real: qualified leads, demo requests, or pipeline. I track Google Search Console, Ahrefs, and GA4 data alongside whatever CRM or lead data a client can share, so the numbers tie back to business outcomes rather than sitting on their own.
The buyer is technical, the sales cycle is long, and a lot of the highest-value search terms have almost no volume by consumer standards but carry serious intent. Writing content that speaks credibly to an IT director or a security buyer takes a different approach than writing for a broad consumer audience, and getting that wrong is one of the most common reasons SEO fails for B2B tech companies.
Traditional rankings and AI-generated answers work differently. Getting cited inside a ChatGPT or Perplexity response depends on how content is structured and how clearly it establishes entities and facts, not just how it ranks on Google. I build for both at once rather than treating AI visibility as an afterthought.