Most businesses measure SEO by traffic. Traffic is the wrong number. The right number is pipeline: qualified leads that came from search and turned into revenue. That's what I build toward.
B2B SEO is the practice of building sustained organic visibility for the specific search terms your ideal buyers use when researching problems you solve, and then connecting that traffic to a measurement system that shows whether it's producing pipeline. In 2026, that means optimizing for Google, but also for AI-generated answers in ChatGPT and Google's AI Overviews, where an increasing share of B2B research now begins.
The reason most SEO programs underperform isn't bad tactics. It's the wrong foundation. They target broad keywords disconnected from buyer intent, produce content that attracts the wrong audience, and measure success with metrics that don't connect to pipeline. I start from revenue backward: who are you actually trying to reach, what do they search for, and how do we know when SEO is working?
Site architecture, crawlability, Core Web Vitals, schema markup, indexation control, and internal linking. Most sites have technical issues that suppress rankings before content ever gets a chance. I fix the foundation first.
Topic cluster architecture mapped to your buyer's actual research journey, not generic industry keywords. Pillar pages, supporting content, and competitive gap analysis. Content that earns rankings because it genuinely answers what your buyers are searching for.
The piece most SEO programs skip entirely. I build the attribution framework that shows you which keywords are generating leads, which content pieces are producing pipeline, and what the organic channel is actually worth to the business.
Buyers increasingly start research in ChatGPT and Google AI Overviews. Appearing in those answers requires definition-forward content, statistical anchors, quotable passages, and structured entity data. I build for both traditional and AI search surfaces simultaneously.
Every SEO engagement includes the measurement infrastructure to show what organic traffic is actually producing, not just rankings.
I don't start with keyword tools. I start with your buyers: who they are, what they actually search for, and what content earns their trust.
You work directly with me. 15+ years of SEO strategy across healthcare, manufacturing, ecommerce, and professional services.
Healthcare, financial services, manufacturing. I know how to build SEO programs that comply with the constraints your vertical operates under.
Honestly: 3-6 months for meaningful ranking movement, 6-12 months for compounding organic pipeline. Technical fixes and attribution improvements show value faster. Anyone promising results in 30 days is measuring the wrong thing.
Yes, and the companies that invest now will have a significant advantage. AI search surfaces still draw heavily from the same signals Google uses: authority, relevance, and well-structured content. The difference is that AI search rewards a specific content style that most SEO programs aren't optimizing for yet.
SEO is included in the Marketing Clarity Sprint as part of the intelligence and infrastructure build. Standalone SEO engagements are available for clients who already have solid strategy and attribution in place. Reach out to discuss.
SEMrush for competitive and keyword research, Google Search Console and GA4 for performance data, and Looker Studio for reporting. I configure tools you already pay for rather than adding unnecessary stack cost.
Book a free 30-minute SEO audit call. I'll look at your current rankings, technical health, and attribution setup, and tell you honestly what needs to change.