Organic growth, rebuilt for the AI search era.
Fractional marketing leadership for companies whose visibility has to compound — not churn.
I’m Ken Fortney. I help AI-native startups, mid-market SaaS teams, and multi-state service businesses get found, get cited, and get chosen in a search landscape that’s been quietly remade by GEO, AEO, and AI Overviews. I run the system end-to-end — strategy, SEO, content, AI workflows, and the no-code build work most consultants outsource — without the agency overhead.
For early-stage AI & SaaS founders
The first marketing hire is the one that makes or breaks the next 18 months.
Most founders hire their first marketer too late, too junior, or too narrow — a content writer when they need a strategist, a paid media specialist when they need an operator, a generalist when they need someone who’s actually launched a SaaS company before. By the time the mismatch is obvious, six months are gone.
I was the founding marketing hire at a generative AI startup before ChatGPT launched. I know what the first six months actually require: positioning that survives investor scrutiny, an SEO foundation that compounds for years, demand gen infrastructure that doesn’t collapse the first time a campaign scales, and AI workflows that let a one-person marketing team output like a five-person team. I build the system. I run the system. I document the system so your eventual full-time CMO inherits something real instead of a pile of campaigns.
For mid-market marketing directors and VPs
Your team is good. Your agency is fine. Neither of them owns the AI search problem.
The shift from blue-link search to AI Overviews, Perplexity citations, and ChatGPT answers isn’t a future trend — it’s already eating into the organic traffic you’ve spent years building. Most in-house teams don’t have the bandwidth to retool around it. Most agencies are still selling the old SEO playbook with “GEO” added to the deck.
I plug in as the senior strategist your team doesn’t currently have. Schema and entity work that earns Knowledge Graph recognition. Content architecture rebuilt around the queries AI engines actually cite. NAP and directory infrastructure tightened until your brand is unmistakable to the answer engines. Editorial governance that keeps your writers shipping content the AI engines want to quote, not skip. I work alongside your team — not above them, not around them — and I leave the playbook with you when the engagement ends.
For multi-market local service businesses
Standard local SEO breaks the moment you cross your second state line.
The local SEO playbook most agencies sell was built for a single shop on a single Main Street. The minute you’re operating across cities, states, or regions, it falls apart — duplicate Google Business Profiles get suspended, NAP inconsistency tanks your entity signals, content built for one service area cannibalizes the others, and your rankings start collapsing in the markets you spent the most to enter.
I build local SEO systems designed for scale from day one. A unified GBP architecture that survives multi-location audits. A directory and citation structure that holds NAP consistency across dozens of service areas. Localized content that ranks in each market without competing with itself. Schema and review infrastructure wired to feed every market’s local pack and AI Overview eligibility. The system runs as a system — not as fifty disconnected listings duct-taped together.
A Real Engagement
The work I'm most often asked about.
I joined a SaaS platform serving local service businesses as Senior Content Marketing Manager. The company had just lost roughly 90% of its organic traffic to a botched CMS migration. Two senior marketing leaders left in my first three weeks. A new CEO arrived at the two-month mark. Ten months in, the team was reduced — the writers, the designer, the project manager, and the developer all left — and I ran the entire content and SEO operation as a one-person team for the rest of my tenure.
Here's what came out of that.
- Recovered the lost organic traffic and grew the site to 400% above the company’s previous all-time peak.
- Built a Meta Ads creative system from scratch — walk-and-talk video shot and cut in Final Cut — that cut cost-per-lead by 80% on a channel leadership had written off as dead.
- Drove a 1,200% increase in MQLs in a six-month window through SEO recovery, conversion infrastructure rebuilt with RevOps, and a full editorial overhaul.
- Integrated AI tooling into the production pipeline (Adaptify.ai and ChatGPT) in a way that maintained editorial quality and stayed clear of Google’s scaled-content penalties.
Your version of this
The Work and Its Impact
This isn’t a typical case study because it wasn’t a typical situation — and that’s the point. The companies that hire me are usually in some version of this story: organic traffic eroding for reasons no one can fully explain, a marketing team running lighter than it should, an AI shift that everyone senses but no one is operationalizing.
I’m built for that environment. I’ve already lived in it.
Next Steps
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