Second-opinion Diagnosis
Independent review of existing SEO work, agency output or in-house plans.
Consulting
Organic visibility systems for large-scale websites.
I connect technical SEO, content operations, publisher growth, e-commerce SEO, AI Search visibility and measurement into one operating system.
Approach
SEO is not only a channel problem; it is an architecture, content and decision system problem.
In large websites, organic performance becomes durable when URL architecture, crawlability, content templates, editorial decisions, product/category structures and reporting quality work together.
Context
Experience areas and problem scale
A confidentiality-safe context wall designed to show the diversity of problem types without exposing private data.
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Modules
How we can work together
Not every project starts with the same scope. Some teams need a second opinion, some need a yearly operating system, and some need support during a critical migration.
Annual Organic Growth System
A connected system for technical, content, reporting and team workflows.
Migration Support
Risk-focused support before, during and after a large-scale launch.
Publisher Visibility Program
Systematizing Discover, News, evergreen content and editorial quality decisions.
E-commerce Architecture Work
Aligning category, facet, product, stock and internal-link decisions with search intent.
AI Search Readiness
Reviewing entity clarity, structured data, answer formats and source eligibility.
Decision table
What is reviewed, why, and what comes out?
This table shows how each review area connects to a concrete output rather than becoming report clutter.
Area
Reviewed
Output
Technical foundation
Crawl, indexability, canonical, sitemap, templates and URL patterns
Technical priority list
Content system
Hubs, categories, editorial flow, seasonal clusters and templates
Content architecture
Commercial visibility
Category, product, facet, stock and internal-link decisions
Category action map
AI Search
Entity clarity, structured data, answer formats and source eligibility
AI Search readiness note
Reporting
GSC, GA4, surface split, marka/marka dışı and page-type tracking
Executive summary
Market reality
The SEO need is broader now, but the foundation is still the same.
The positioning does not rely on one fashionable term. Technical foundations, content systems, measurement and AI Search readiness are handled together.
Classic SEO remains foundational
AI Search visibility is not durable without crawlability, indexability, information architecture and content quality.
AI Search is a separate surface
Source eligibility requires entity clarity, trust signals, consistent answer formats and measurement discipline.
Executive expectations changed
Traffic alone is not enough; visibility quality, channel split, page types and business impact need to be explained together.
Team alignment determines execution
SEO recommendations lose impact when they do not enter engineering, content, product and data workflows.
Interactive check
Quickly estimate project fit.
This lightweight tool is only directional. A real diagnosis still needs data, team context and clear goals.
5/9
Potential fit; data and team context should be clarified.
Quality control
Pre-launch quality logic
This version keeps canonical, hreflang, robots, sitemap, bilingual URL structure and www redirection logic in place. Repetitive copy is removed and layouts are designed with symmetric card rhythm.
Work areas
Work areas
A confidentiality-safe view of problem areas shaped by past projects and consulting practice.
Large-Scale Site Migration
URL inventory, redirect mapping, canonical logic, sitemap structure, indexability checks and post-launch monitoring.
Migration control model
View detail approach
Publisher SEO and Discover Operations
Google Discover, Google News, seasonal traffic clusters, evergreen hubs, editorial rules and multi-surface performance reporting.
Editorial visibility system
View detail approach
E-commerce Category and Product SEO
Category architecture, product templates, faceted navigation, out-of-stock logic, internal linking and commercial query visibility.
Category visibility system
View detail approach
Finance and YMYL Visibility
Trust signals, E-E-A-T, information architecture, template SEO and responsible structures for sensitive topics.
Trust-led information architecture
View detail approach
AI Search and GEO Readiness
Source eligibility, entity clarity, structured data, answer formats, crawlability and AI visibility measurement.
AI visibility control model
View detail approach
GA4, GSC and Executive Reporting
Turning Web, Discover, News, marka/marka dışı, page type and channel segments into executive-level performance narratives.
Decision support dashboard
View detail approach
Methodology
Operating system
The goal is not only to produce recommendations, but to define when, by whom, with which data and how each action will be checked.
Diagnosis
Crawl, indexability, GSC, GA4, URL patterns and competitive visibility are evaluated together.
Priority
Actions are ranked by impact, effort, technical dependency, risk and business value.
Execution model
Recommendations are turned into tasks, acceptance criteria, sample outputs and checklists.
Measurement
Beyond traffic, visibility quality is tracked across surfaces, query clusters and page types.
Fit
Which projects are a better fit?
Good fit
Large URL set, technical team, data access, decision-maker support and a measurable organic problem.
Borderline
Content-only requests, no engineering support or limited data access.
Not a fit
Short-term guarantee expectations, backlink-only requests or diagnosis without data access.
FAQ
Frequently asked questions
Why is SEO more complex for large websites?
Because category, product, content, faceted navigation, redirects, crawlability and reporting decisions affect each other.
Which websites are a better fit for SEO consulting?
Large websites with engineering support, many URLs and a need for structured organic visibility tracking are a better fit.
Which data is needed before starting?
Google Search Console, GA4, crawl data, key page types, technical workflow context and current goals are usually needed.
Is AI Search readiness separate from classic SEO?
No. Crawlability, content quality, entity clarity and trust signals still form the foundation.
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