Know what to fix. Know why.

The technical review follows how search engines reach, interpret and index the site. Crawl error analysis separates isolated problems from failures repeated across a template or section.

• Crawlability, indexation, robots directives and canonical rules.
• XML sitemap analysis: intended pages, response codes and consistency with canonical URLs.
• Duplicate content and redirect audit: repeated pages, chains, loops and broken destinations.
• Structured data accuracy and agreement with the visible page.

A URL that should be retired needs different treatment from an important page that has become inaccessible. The roadmap explains which action fits.

The on-page SEO audit connects each priority page to the intent it should serve. Titles, descriptions, headings, URLs and body content are reviewed together. Content optimization analysis asks whether the page answers the buyer's question with enough substance, clear sourcing and an understandable next step.

Keyword rankings analysis establishes where the site appears now and which queries lead to which pages. Pages competing for the same intent, thin explanations, outdated material and missing topics enter the review. A recommendation can be to rewrite, consolidate, expand or leave a page alone.

The off-page SEO audit examines the backlink profile and other credible references to your business. A link audit considers referring sources, relevance, anchor patterns and how the profile developed. Suspicious links require context and manual review before any cleanup or disavow recommendation.

Competitor analysis uses the sites appearing for your priority queries. Their useful content, topic coverage and external references provide comparison points. This helps separate a technical restriction from a content or authority gap.

The AI search component considers Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO): how a business and its content appear in generated answers. The relevant environments include Google AI Overviews, ChatGPT, Perplexity, Gemini and Copilot. A dated observation records the question, the answer environment and any cited source.

The review also examines whether your pages explain entities clearly, support important claims and make useful answers easy to locate. AI answers vary, and a citation seen in one check does not establish a stable ranking. The deliverable makes those measurement limits visible alongside the observations.

The audit ends with a roadmap organized around search opportunity, business value, implementation effort and dependencies. Each finding gives your implementation team:

• What is affected, with representative URLs and supporting observations.
• Why the issue matters and how confident the finding is.
• What to change, what needs further investigation and what depends on other work.
• How to check the change after implementation.

The walkthrough gives your team room to question the sequence and connect it to upcoming releases.

Your own search and analytics data establish the starting point. Search-performance tools such as Google Search Console can show queries, landing pages and indexing reports. Analytics systems such as Google Analytics, including GA4, can add visitor behavior and conversion context where tracking is configured.

Other categories include a technical crawler such as Screaming Frog, a backlink index such as Ahrefs, and a keyword research platform such as Semrush. These are examples, with selection determined by the audit's needs. Missing access or unreliable tracking is recorded as a limit on the conclusions.