$5M+ in pipeline sourced through organic search across B2B SaaS
B2B SaaS Growth Marketing That Connects Organic Search to Revenue
SEO, content strategy, and demand generation built for marketing teams that measure success in pipeline, not pageviews.
Most B2B SaaS companies have a content problem disguised as a traffic problem. Organic search is producing impressions, sessions, maybe even leads. But the pipeline connection is missing. Leadership starts asking whether content actually does anything.
That's the problem this work solves. Not by publishing more, but by building content architecture that ties search intent to buyer action, and making sure that content shows up in Google and gets cited by AI platforms like ChatGPT and Perplexity.
The work is strategic, documented, and tied to revenue outcomes from day one.
- 7x organic visibility growth in under 12 months
- $1.92M in pipeline sourced through organic at Explorance
- $5.8M total pipeline generated across B2B SaaS roles
Why Organic Search Fails to Produce Pipeline for Most B2B SaaS Companies
It's not a content volume problem. Most teams are already publishing. The issue is structural.
SEO content built around keyword volume targets research-stage queries (people who are months away from a purchasing decision). The content ranks, pulls traffic, and generates reports full of numbers that don't move a sales conversation. Organic becomes a channel the revenue team stops trusting.
The second layer is newer. AI platforms now mediate a significant share of B2B research. Buyers ask ChatGPT or Perplexity for vendor recommendations before they touch Google. If your content isn't structured for AI citation, you're missing an entire discovery channel that most of your competitors aren't thinking about yet.
The fix isn't more content. It's content built from the right starting point: which questions do buyers ask right before they reach out to sales? What does that content need to look like for a search engine and an LLM to surface it? And how does the page turn that visit into a conversation?
Every engagement starts there.
What the Work Includes
Each service has its own dedicated page with full scope, process, and proof. The brief version is below.
SEO and GEO Copywriting
Content that ranks in Google and gets cited by AI platforms. Built for B2B SaaS teams that need organic search to source qualified pipeline, not just traffic. Keyword-intent mapping, content architecture, and LLM-optimized formatting are built into every brief.
SEO Copywriting →Demand Generation
Strategy and execution that fills the top of the funnel with buyers, not browsers. Campaign planning, content architecture, and conversion infrastructure designed to produce pipeline you can track in a revenue meeting.
Demand Generation →Conversion Copywriting
Landing pages, trial flows, and product-led growth copy that turn qualified visitors into customers. Built on voice-of-customer research, not assumptions about what the buyer wants to hear.
Conversion Copywriting →Email Copywriting
Welcome sequences, nurture programs, and campaign copy that maintain engagement without burning the list. Metrics-first: click behavior over open rates.
Email Copywriting →Fractional CMO
Senior marketing leadership without the overhead. Strategy, team direction, and cross-functional alignment for B2B SaaS companies that need an experienced operator in the room, not another consultant with a slide deck.
Fractional CMO →What This Work Actually Produces
The numbers below come from documented engagements at Explorance, Fortra, and Mindville.
A strategic content rebuild at Explorance drove 7x year-over-year organic search visibility growth (21.2M impressions) and sourced $1.92M in pipeline directly attributable to organic in under 12 months. Organic clicks grew 3.75x year-over-year to 198K clicks from SERPs.
At Fortra, demand generation work produced 700+ SQLs and $5.8M in pipeline in a single year.
A content strategy overhaul at Mindville grew blog traffic 660% in 12 months. The company was acquired by Atlassian.
AI-driven content workflows built in-house reduced GTM timelines by 70–80% across the team without sacrificing quality or voice.
These are documented outcomes from real programs, at real companies, with real constraints. Not projections. Not "up to" numbers.
What Makes This Approach Different
Most content consultants optimize for outputs. They produce articles, manage editorial calendars, and report on traffic. The question of whether any of it moves pipeline is someone else's problem.
This engagement model starts from pipeline accountability. Every piece of content is mapped to a buyer journey stage. Every recommendation should be able to answer "will this move revenue?" in a direct conversation with the head of sales.
The audit comes before the brief.
Skipping discovery to produce content faster is how teams end up publishing the wrong content at scale. Every engagement starts with an audit: keyword intent analysis, SERP assessment, competitor gap review, all before a single brief is written.
GEO is built into the structure, not added on.
Generative engine optimization, the practice of structuring content so AI platforms cite it, is part of every brief from the start, not a retrofitting exercise. Format, sourcing signals, and answer architecture are planned before writing begins.
AI workflows without quality loss.
An in-house AI content system built for B2B SaaS cuts GTM timelines by 70–80% while maintaining the research depth and voice control that makes content credible. The speed is real. So is the quality bar.
Who This Work Is Built For
The right fit for these engagements: B2B SaaS marketing teams with working organic infrastructure that isn't producing pipeline, or teams starting from scratch who need strategy grounded in revenue outcomes rather than traffic metrics.
- Marketing Directors and VPs who need organic and demand gen to hold up in a revenue meeting
- Series A–C companies that have built a content function but aren't getting attribution from it
- Marketing teams using AI tools for content production who've noticed the quality gap and can't close it
- Companies preparing for or recovering from a platform migration, rebrand, or ICP shift
If you're looking for volume publishing or "SEO maintenance," this isn't the right match. If you need a strategy with direct pipeline accountability, the rest of this page is for you.
How an Engagement Starts
Every engagement starts with a 20-minute call to establish whether the problem and the approach are a fit. No pitch. No proposal before context.
If there's alignment, the next step is an audit: organic search, content architecture, or conversion infrastructure, depending on what the engagement requires. The audit produces a prioritized action plan before any execution begins. You know what you're getting and why before you commit to anything.
Rates are $125–175 CAD per hour depending on engagement type and scope. Project-based pricing is available for defined deliverables.
Book a 20-minute callCommon Questions
What kind of companies do you work with?
B2B SaaS companies at Series A through enterprise scale. Most engagements involve a marketing team of 2–10 people with organic infrastructure that isn't producing pipeline, or a content function being rebuilt after a strategic pivot.
Do you work with marketing teams or directly with founders?
Both. Engagements with early-stage founders are typically strategy-first: audit, priorities, and a brief structure the internal team executes against. Engagements with marketing teams are more execution-heavy, depending on internal capacity.
How is this different from hiring a content agency?
Agencies optimize for output volume and channel-specific metrics. This model starts from pipeline accountability, meaning the first real conversation is about what counts as success in a revenue meeting, not how many articles to publish per month.
Do you work on retainer or project?
Both are available. Retainer engagements suit ongoing strategy and execution. Project-based work suits defined deliverables like audits, content architecture builds, or campaign copy.
What does onboarding look like?
It starts with a 20-minute call to establish fit. If there's alignment, I scope the engagement, run an audit, and deliver a prioritized action plan before execution begins. Most engagements are active within two weeks of the first call.
Do you work with teams already using AI for content production?
Yes. The in-house AI workflow system I built reduces GTM timelines by 70–80% and is designed specifically for B2B SaaS content. If your team is using AI tools and the quality isn't holding up, that's a solvable problem.
What's your availability?
Typically 2–3 active client engagements at a time. If you're timing-sensitive, reach out early. Engagements with defined start dates are factored into scoping conversations.