CyberFingers

Areas of expertise

Technical SEO, content strategy and applied AI.

These are the disciplines I bring to a team: investigating search problems, planning useful content and helping colleagues implement and measure improvements.

Foundation

Technical SEO audit

A structured review of the signals that affect discovery, crawling, indexation, and page quality. I use Screaming Frog for focused audits and Botify for recurring cloud crawls, page segmentation and enterprise monitoring, according to the site’s needs.

  • Crawl paths, status codes, redirects, and canonical signals
  • Index coverage, robots directives, and XML sitemaps
  • Metadata, headings, structured page content, and duplicate patterns
  • Mobile experience, performance risks, and accessibility signals

Demand

Keyword & content strategy

Connect real search behavior to the pages, topics, and internal links your site needs.

  • Search intent and opportunity research
  • Keyword-to-page mapping and content gap review
  • Title, description, heading, and on-page recommendations
  • Internal linking opportunities and anchor guidance

Visibility

Indexing & Search Console

Understand which pages search engines know about, how they are performing, and where coverage breaks down. Combine crawl results with Search Console, Snowflake analysis and bot traffic where those data sources are available.

  • Search Console property and coverage review
  • Page indexing and URL inspection patterns
  • Sitemap, canonical, and exclusion diagnostics
  • Impressions, clicks, queries, and landing-page trends

Momentum

Implementation support

Help the people making changes understand the goal, sequence the work, and verify the result.

  • Prioritized roadmap with impact and effort context
  • Developer-ready acceptance criteria
  • Pre-launch or post-launch SEO checks
  • Measurement plan and follow-up review

Applied AI

Research & workflow design

Use AI and browser automation to gather evidence, structure repeatable work and help people make informed decisions.

  • Search opportunity and content feasibility research
  • AI-assisted content workflows with editorial review
  • Repeatable data collection with sample validation
  • Clear documentation, findings and handoff to the team

Measure what changes

Search data is a feedback loop.

Analytics and Search Console are used to establish a baseline, identify patterns, and see how the site responds after improvements ship.

I use that evidence to explain what changed, separate assumptions from observations and help the team decide where to focus next.

Example chart combining Google Analytics and Search Console data

See the work

Explore these skills in practice.

Read examples from my work in national real estate, mortgage content and search research.

View selected work