SEO
Be discoverable
Create technically accessible, relevant pages that match the questions customers ask while evaluating and buying.
SEO, AEO and GEO
People now discover businesses through Google results, AI overviews, assistants, marketplaces, communities, and brand websites. I help make your business clear and useful across that journey.
I combine durable search fundamentals with clear brand information, useful answer structure, credible evidence, and measurement for an increasingly AI-assisted discovery journey.
One search foundation
SEO, AEO, and GEO support different discovery experiences, but they rely on the same accessible pages, clear answers, trustworthy evidence, and consistent brand information.
SEO
Create technically accessible, relevant pages that match the questions customers ask while evaluating and buying.
AEO
Answer important questions clearly, support the answer with detail and evidence, and help people and machines find the right passage.
GEO
Clarify your brand, expertise, claims, and sources so generative systems have better material for accurate answers and citations.
The work
I prioritize the roadmap by customer value, business impact, implementation effort, and the evidence available.
Make priority pages easy to crawl and interpret through sound indexability, rendering, canonicals, redirects, sitemaps, metadata, performance, and structured data.
Clarify your organization, people, products, and expertise with consistent facts, authorship, dates, citations, and stable identifiers.
Answer real customer questions clearly, then add the depth, comparisons, definitions, examples, and internal links that make the page genuinely useful.
Build reasons to reference your brand through original research, case studies, expert participation, relevant mentions, and useful resources.
Engagement flow
We start with a clear baseline, fix the highest-value gaps, and build a repeatable way to publish, measure, and improve.
Review representative pages, crawler controls, entities, content, citations, analytics, search performance, and observed AI referrals or mentions.
Resolve access and technical issues, strengthen priority commercial pages, and create a reliable source for brand facts, authorship, and schema.
Publish useful answers and original evidence, earn relevant mentions, monitor outcomes, and update the roadmap as search systems and customer demand change.
The public-page foundation we can verify now: access, markup, content structure, entities, sources, and implementation signals.
The outcomes we track over time: rankings, clicks, qualified referrals, citation patterns, assisted conversions, and brand demand.
Selected outcome
I replaced a generic WordPress site with a faster, more useful local presence and used paid search only while organic discovery gained traction.
Client updates, customer conversations, and campaign records. Search results can change over time.
A practical approach
I use public documentation, supported web standards, and observed site evidence. New tactics are tested as experiments and measured against real outcomes.
The methodology distinguishes search crawlers from user-triggered, training, and control crawlers. It follows the robots standard and Google's documented requirements for search and AI features.
Read how the audit worksMeasurement guides
Separate technical readiness from actual visibility, referrals, citations, and qualified outcomes so the roadmap is based on evidence.
Common questions
SEO helps people discover your business in traditional search. Answer engine optimization (AEO) makes your information easier to retrieve and use in direct answers. Generative engine optimization (GEO) helps AI systems understand and accurately represent your brand, expertise, and evidence. All three work best from one shared technical, content, authority, and measurement foundation.
No one controls which sources an AI system chooses for every query. I focus on the parts we can improve and measure: access, clarity, authority, rankings, qualified referrals, and citation patterns over time.
There is no special schema type that places a page in AI answers. Supported structured data is useful when it accurately describes visible content. An llms.txt file can provide an experimental index for some systems, while crawlable pages, clear entities, original evidence, internal links, and sound search fundamentals remain the priority.
The free audit reviews public-page readiness, including crawler access, metadata, structured data, answer formatting, and source signals. Live rankings, referrals, and AI citations require separate tracking over time.
Technical fixes and priority page improvements can often ship within weeks. Stronger topic coverage, authority, rankings, and repeat visibility usually build over months. I separate quick implementation wins from the longer research, publishing, outreach, and measurement work.
Run the free scan to find public-page readiness issues, or choose 15 or 30 minutes to talk through your search performance, priority products, and customer questions with me.