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A technical SEO audit is a full analysis of a site's infrastructure: crawling and indexation (blocked pages, 4xx/5xx errors, robots.txt, sitemap), load speed and Core Web Vitals, URL structure, canonical tags, redirects, and the presence of Schema.org structured data. The goal is to identify what's actually stopping Google from crawling, understanding, and ranking each page correctly — before even talking about keywords or content. It's systematically the first step of any engagement, because a content strategy built on broken technical foundations produces no lasting results: the best article is useless if the page carrying it isn't indexed.

Technical SEO covers the site's infrastructure: speed, indexation, URL structure, structured data — everything that lets Google crawl and understand the site correctly. On-page SEO covers the content and tags specific to each page: titles, meta descriptions, H1-H3 hierarchy, targeted keywords, internal linking. Off-page SEO covers the site's external authority: inbound link profile, mentions, editorial partnerships. These three pillars are interdependent: great content on a poorly indexed page will never be seen, a technically flawless site with no keyword strategy doesn't answer any specific search, and strong link authority without relevant content doesn't convert. An effective strategy works all three in parallel, not one after another.

Timelines vary by type of action. Technical fixes (indexation, speed, crawl errors) can show a visible effect within a few weeks, once Google has re-crawled the corrected pages. Gains from a new content or internal linking strategy typically take 2 to 4 months, the time needed for new pages to be indexed and gain perceived relevance. Link building and authority-building actions are the slowest: expect several months before a measurable impact, since domain authority builds up gradually. SEO remains groundwork with a cumulative effect, not a lever for instant results like a paid ad campaign — which is also what makes it a durable asset once built.

GEO (Generative Engine Optimization) means structuring content so it's understood, extracted, and cited by generative AI engines — ChatGPT, Perplexity, Google AI Overviews — not just indexed by a traditional search engine. In practice, that means direct, self-sufficient answers at the start of each section rather than vague phrasing, precise Schema.org structured data, an llms.txt file that flags content accessible to AI, and verified accessibility for the main generative engines' crawlers. It's complementary to classic SEO, not a replacement: a site that ranks well on Google isn't automatically cited by an AI, since citability criteria differ (answer depth, structure, perceived freshness).

Because most technical SEO blockers found during an audit — JavaScript rendering issues, code structure, load times, structured data implementation — need a direct code fix to be resolved. With a typical SEO consultant, every technical recommendation has to be rephrased, explained, and handed off to an external developer, who interprets and implements it their own way — a back-and-forth cycle that slows down fixes and sometimes dilutes the original recommendation. Here, the audit and the fix are done by the same person, with the same understanding of the problem from diagnosis through to production.

A detailed audit report listing every issue found, ranked by priority (impact / effort), with a clear explanation and a concrete recommendation for each — not just a list of automated alerts with no context. For monthly retainer engagements, this is followed by regular reporting on ranking, organic traffic, and the metrics agreed upfront, plus a history of the actions taken. The goal is for every deliverable to be immediately actionable, without requiring further interpretation on your end.

Yes — it's actually the best time to do it. An audit before or right after launch lets you fix structural issues (indexation, structured data, URL architecture) before they pile up and slow down the site's rise in visibility. Waiting several months to audit often means having to fix architecture choices that are already in place, which costs more and takes longer than getting the initial setup right.