Technical auditing runs on Screaming Frog SEO Spider for crawl-level analysis, Ahrefs Site Audit for ranking-context issues, and Google Search Console as the ground truth for what Google is actually seeing on your site. Schema markup gets validated with Google's Rich Results Test and Schema.org's structured data validator. Performance audits use Google PageSpeed Insights, Lighthouse, and WebPageTest depending on the depth required.
Content production uses Google Docs as the workspace, with copy edits tracked in Suggesting mode so you can review and approve before publishing. We do not use AI content generators to produce the actual copy that ships on your site. AI is useful for outlining and ideation; it is not useful for producing local content that reads as authentic. The pages we write for Chicago location pages or neighborhood content are written by humans who know the city.
Schema markup implementation follows Schema.org's published specifications and Google's documented guidance for rich results eligibility. We implement LocalBusiness schema with the full property set Google expects (name, address, telephone, opening hours, geo coordinates, areaServed, sameAs where applicable). For service pages we implement Service schema with the provider linked to the LocalBusiness. Where appropriate we add FAQPage, BreadcrumbList, and AggregateRating schema, only when the corresponding content is authentic and matches what is on the page.
Our standards follow Google's published Search Quality Evaluator Guidelines, E-E-A-T principles, and the broader best practices documented across the SEO industry. We do not use keyword stuffing, cloaking, hidden text, link schemes, or any of the patterns Google explicitly penalizes. We do not generate AI content at scale to fill out site sections. We do not implement schema for content that does not exist on the page (which is a Google policy violation). The work is durable because the underlying practices are aligned with what Google rewards, not what tries to trick the algorithm.