Search that stands the test of time — across both systems
My approach to SEO and AI search visibility is built on one core belief: the best strategies are the ones that can't be taken away from you. No shortcuts, no experimental tactics, no chasing the latest loophole. Just evidence-based work that compounds over time and survives every algorithm change.
Two search systems are running in parallel right now. Traditional SEO and AI-powered search operate on different signals but draw from the same foundation. My approach addresses both — because a strategy that only covers one is already incomplete.
Why do I address both search systems in every engagement?
Traditional SEO and AI-powered search are two distinct systems with different rules, different signals, and different outcomes. But they share a foundation. Strong SEO makes AI visibility possible. AI visibility extends the reach of strong SEO. Ignoring either one leaves value on the table.
How Google evaluates you
Traditional SEO determines where you appear in search engine results pages. It's driven by technical health, content quality, site architecture, backlinks, and relevance signals.
- Crawlability and indexation
- Content depth and relevance
- Technical performance
- Authority and trust signals
- Site architecture and internal linking
How AI decides to recommend you
AI search visibility determines whether platforms like ChatGPT, Gemini, and Perplexity mention, cite, or recommend your business. It's driven by entity recognition, citation patterns, and structured authority signals.
- Entity recognition and mapping
- Citation-ready content structure
- Authority signals across sources
- Structured data and schema
- Presence in AI training and retrieval sources
Most providers specialize in one system and ignore the other. SEO agencies don't test AI visibility. AI search consultants often lack deep SEO experience. I bring 12+ years of SEO expertise together with AI search visibility methodology because that's what the landscape actually requires.
What does my process look like from start to finish?
Every engagement follows a diagnostic-first process. I don't prescribe solutions before understanding the problem. The work moves through four phases — each one building on the findings of the last, each one grounded in evidence rather than assumptions.
Discover
Before any diagnosis happens, I need to understand your business. What are you trying to accomplish? Who are your customers? How does search fit into your growth model? What have you tried before, and what worked or didn't?
This isn't a form you fill out. It's a real conversation where I learn enough about your business to make the diagnostic process meaningful — so findings map to business context, not just technical metrics.
Diagnose
This is where I find out where you actually stand — in both search systems. I audit your technical SEO health, content authority, site architecture, entity signals, and AI platform visibility. I test real prompts across ChatGPT, Gemini, Perplexity, and AI Overviews to see where you show up and where you don't.
The diagnostic produces specific findings, not generic observations. Every recommendation that follows maps directly to something the diagnosis uncovered.
Prioritize
Not everything the diagnostic reveals needs fixing immediately — and not everything has equal business impact. I translate findings into a prioritized roadmap that sequences work by impact: what will move the needle most, what depends on other work being done first, and what can wait.
The roadmap is practical, not aspirational. It accounts for your team's capacity, your timeline, and the realities of how search improvements compound over time. You'll always know what we're doing, why we're doing it, and what comes next.
Execute
This is where I'm different from most consultants. I don't hand off a strategy deck and wish you luck. I work alongside your team to implement — technical fixes, content optimization, entity building, schema implementation, AI visibility work. The strategy gets done because I help do it.
Throughout execution, I monitor results, test AI visibility changes, and adjust the plan based on what the data shows. The roadmap is a living document, not a static deliverable.
What principles guide every engagement?
These aren't aspirational values — they're operating constraints. They determine what I'll recommend, what I won't, who I'll work with, and how I measure whether the engagement is working.
Diagnosis before prescription
I never recommend work before understanding the problem. Every strategy starts with evidence from the diagnostic, not assumptions about what might help.
Business outcomes over vanity metrics
Rankings and traffic are indicators, not goals. Success means more leads, more revenue, and a stronger competitive position — not just better numbers in a dashboard.
Both systems, every time
I assess and address traditional SEO and AI search visibility in every engagement. The two systems are connected, and a strategy that ignores either one is incomplete.
Sustainable over experimental
I don't chase trends or use tactics with an expiration date. Every recommendation is something that will still work when the next algorithm update or AI model change arrives.
Execution, not just strategy
A plan that sits in a deck doesn't produce results. I work alongside your team to implement, because the value is in the work getting done — not in the document describing it.
Honest assessments, always
If you don't need something, I'll say so. If the timeline is longer than you'd like, I'll be upfront. If working together isn't the right fit, I'll tell you that too.
What I do — and what I deliberately don't
Knowing what someone won't do tells you as much as knowing what they will. The search industry is full of shortcuts, inflated promises, and tactics that put your business at risk. I've drawn clear lines about what's part of my practice and what isn't.
- Build strategy on diagnostic evidence
- Address both search systems simultaneously
- Execute alongside your team
- Focus on business outcomes over traffic
- Use sustainable, algorithm-proof approaches
- Give honest timelines and assessments
- Stay current on both SEO and AI search
- Handle your work personally
- Use templated playbooks across clients
- Chase experimental or risky tactics
- Hand off strategy and disappear
- Optimize for vanity metrics
- Promise overnight results
- Delegate your work to junior staff
- Take agency clients
- Recommend work you don't need