Technical SEO
Audit Built for
Search & AI
Visibility
A methodical, multi-layer audit of your website's technical foundation - engineered to resolve crawlability failures, index bloat, Core Web Vitals deficiencies, and structural barriers that suppress rankings in both traditional search and AI-generated answers.
Every audit covers over 200 signals across crawlability, indexation, performance, structured data, and AI-readiness.
Receive a prioritised, actionable audit report within 72 business hours of site access confirmation.
The technical audit simultaneously prepares your site for Google ranking and AI engine citation.
Technical errors are silent revenue killers
Google Can't Crawl What It Can't Find
Misconfigured robots.txt files, broken internal link architecture, and JavaScript rendering bottlenecks routinely prevent Googlebot from accessing your highest-value content - even when that content is technically live.
Slow Pages Destroy Conversion Before Rankings
Google's Core Web Vitals have been a confirmed ranking factor since 2021. Poor LCP, CLS, and INP scores simultaneously suppress search visibility and drive users away - a compounding performance penalty.
AI Models Skip Poorly Structured Content
Generative AI engines preferentially cite pages that are semantically clear, factually structured, and authored with demonstrable expertise. Without the right signals, your content is invisible to AI answers.
What Is a Technical SEO Audit?
A technical SEO auditis a systematic, data-driven examination of a website's infrastructure, code, and configuration to identify every factor that limits how search engines discover, crawl, render, index, and rank its pages.
Unlike content audits or backlink analysis, a technical audit operates below the surface - evaluating server response codes, XML sitemap integrity, canonical tag implementation, hreflang configuration, log file crawl behaviour, JavaScript execution dependencies, and the dozens of other machine-readable signals that determine whether a search engine treats your website as a credible, indexable asset or an opaque technical liability.
At Semola Digita, our audits go further. We extend the technical evaluation framework to include AI Citability signals - the structural, semantic, and authority-based properties that govern whether AI language models reference your content when generating answers.
The result is a dual-layer technical audit that positions your website for visibility in both the traditional SERP and the emerging AI-generated answer layer.
The most sophisticated content strategy collapses when technical debt prevents search engines from processing it. Technical SEO is not a one-time fix - it is ongoing infrastructure maintenance that compounds in value over time, exactly like software engineering hygiene in a production system.
Generative AI engines rely on retrieval pipelines and citation algorithms that heavily weight pages with clean HTML structure, schema markup, factual density, and trusted domain authority signals. Optimising for AI citation begins at the technical layer.
- Server and hosting configuration review
- Crawl budget analysis via log file parsing
- Index coverage and duplication assessment
- Core Web Vitals and page experience scoring
- Structured data and schema.org implementation audit
- Internal linking architecture mapping
- AI-readiness signal assessment
Eight Audit Domains.
Zero Guesswork.
Each domain is assessed independently and cross-referenced for cascading issues - because a canonical error often explains an indexation failure, which explains a ranking plateau.
We parse server access logs and cross-reference crawl data from Google Search Console to determine exactly which pages Googlebot visits, how frequently, and which it ignores entirely. Crawl budget misallocation is one of the most under-diagnosed technical SEO problems on large sites.
We audit robots.txt directives, meta robots tags, X-Robots-Tag HTTP headers, crawl traps, and sitemap submission health.
We compare your XML sitemap's declared URL inventory against Google's actual index, identifying orphaned pages, excluded URLs, and the precise reason for any exclusions. Canonical implementation is reviewed for correctness and self-referencing integrity.
We audit canonical tags, 301 redirect chains, hreflang implementation, and noindex directive placement across your entire URL inventory.
We diagnose root causes, not just symptoms: whether poor LCP is driven by render-blocking resources, server response time, or image delivery failures changes the fix entirely.
We audit LCP, CLS, and INP thresholds, TTFB, render-blocking resource elimination, and image optimization across your top landing pages.
We map your full internal link graph to identify orphaned pages, click-depth problems, and anchor text patterns that fail to communicate topical relevance and authority flow.
We audit orphan pages, click depth distribution, anchor text topical relevance, and internal link equity flow across your site architecture.
Schema.org markup is the primary language that communicates meaning to both search engines and AI systems. We identify validation gaps and missing entity markup across critical schema types.
We audit JSON-LD implementation, FAQPage schema, Organization and Service schema, and entity markup across critical page templates.
We review SSL certificate validity, HSTS headers, redirect chain length, server response codes at scale, and Time to First Byte as an indicator of infrastructure performance.
We audit SSL certificate expiration, HSTS preload configuration, redirect chain审计, and 5xx error frequency across your server infrastructure.
We compare raw HTML against fully-rendered DOM output to identify content that exists only in the browser, lazy-loaded elements that are never indexed, and links discoverable only after JavaScript execution.
We audit SSR vs CSR rendering, DOM content, lazy loading implementations, and JavaScript-generated link discoverability for search engines.
Our proprietary GEO layer evaluates readiness to be cited by AI engines - Google AI Overviews, ChatGPT, Perplexity, and Claude. We assess semantic HTML clarity, entity coverage, factual density, author authority markup, and freshness signals.
We audit AI Overviews citability, entity markup coverage, E-E-A-T signal strength, and content freshness for AI-first search experiences.
How We Prepare Your Site for
AI Engine Citability
Generative Engine Optimisation is the emerging discipline of structuring web content so that large language models and AI search engines discover, retrieve, and cite your content when generating answers.
Semantic HTML Clarity
AI parsers rely on heading hierarchy, landmark elements, and semantic tags to extract meaning. We audit for heading misuse, missing landmark regions, and content buried in non-semantic wrappers.
Entity & Concept Markup
Schema.org entities act as machine-readable declarations of who you are and what your content covers. Missing entity markup reduces retrievability in knowledge-graph-augmented AI systems.
Answer-First Content Architecture
AI retrieval systems score pages on how directly and immediately they answer question patterns. We identify structural issues that reduce citation probability.
Author Authority Infrastructure
We audit author page configuration, byline schema, About Us entity completeness, and professional credential signals that AI models use to assess source trustworthiness.
Freshness & Update Signalling
We review lastModified headers, datePublished and dateModified schema values, and content freshness architecture to strengthen update signalling.
Crawl Permissions for AI Agents
Many sites inadvertently block AI crawlers via broad robots.txt rules. We audit GPTBot, ClaudeBot, and PerplexityBot access and recommend a tiered permissions strategy.
A website that cannot be efficiently crawled and indexed by Google cannot be reliably retrieved by AI engines either. Once the technical baseline is in place, AI citability requires a distinct second layer of optimisation.
A Rigorous,
Five-Phase
Audit Process
Our audit methodology follows a structured workflow developed through hundreds of site assessments. Each phase builds on the last, culminating in a prioritised, implementable report - not a data dump.
Access, Scoping & Baseline Data Collection
We request read-only access to Google Search Console, Google Analytics, and your CMS or hosting environment where applicable. We establish a full URL inventory and confirm the primary technology stack.
Automated Crawl, Log File Parsing & Server Diagnostics
We deploy our crawl stack - combining Screaming Frog, custom Python scripts, and server log analysis - to map the full URL structure. JavaScript rendering is tested using headless browser comparisons.
Manual Inspection & Cross-Domain Analysis
Automated crawls surface issues. Human expertise diagnoses their causes and interconnections. This phase includes the GEO and AI citability evaluation layer.
Findings Consolidated Into an Actionable Audit Report
Every finding is documented with its precise location, severity classification, estimated implementation effort, and specific remediation instructions.
Live Debrief Session & Ongoing Advisory
We conduct a live video walkthrough with your team, translating technical language into business context for stakeholders and implementation guidance for developers.
Your Complete Audit Package
Executive Summary Report
A concise, non-technical overview of the site's technical health score, critical issue count, and projected SEO and GEO impact.
Full Technical Audit Document
A comprehensive, multi-section document covering all 200+ checkpoint findings, organised by audit domain with evidence and remediation priority.
Developer Remediation Appendix
A separate technical appendix formatted for your development team, with exact code-level fixes and configuration examples for complex issues.
AI Citability Assessment
A dedicated section evaluating current AI visibility signals, technical barriers, and a structured GEO remediation roadmap.
Prioritised Action Roadmap
A sequenced, effort-vs-impact matrix ranking every remediation task so you know exactly what to fix first.
Live Walkthrough Session
A 60-90 minute live session reviewing findings with your team and answering implementation questions before the call ends.
How We Compare to Standard Audits
| Audit Feature | Generic SEO Tool | Traditional Agency | Semola Digita |
|---|---|---|---|
| Automated crawl analysis | ×Basic | ✓Standard | ✓Advanced + log files |
| Core Web Vitals assessment | ×Lab data only | ✓Lab + basic field | ✓CrUX field data + root cause |
| JavaScript rendering analysis | ×Not included | ×Sometimes | ✓Always - DOM diffing |
| Manual expert review | ×Fully automated | ×Partial | ✓Every critical finding |
| Structured data / schema audit | ×Validation only | ✓Implementation review | ✓Validation + gaps + AI impact |
| AI citability (GEO) assessment | ×Not available | ×Not available | ✓Full GEO layer included |
| AI bot crawl permissions audit | ×Not available | ×Rarely | ✓GPTBot, ClaudeBot, PerplexityBot |
| Developer-ready remediation code | ×Generic advice only | ✓Sometimes | ✓Always included |
| Log file analysis | ×Not available | ×Rarely | ✓Full server log analysis |
| Live debrief session | ×Not included | ×Optional/extra cost | ✓Included as standard |
Your Site Has Technical Debt
Hiding in Plain Sight.
Let's Find It.
Every week your site operates with undiagnosed crawl errors, indexation gaps, or AI citability failures is a week of compounding visibility loss. A technical SEO audit is the most precise diagnostic tool in digital marketing - and the highest-ROI first step for serious organic growth.
Begin Your
Technical SEO Audit
Complete our pre-crawl discovery questionnaire. It takes 5 minutes and shapes the entire audit - so we deliver findings that are targeted, actionable, and ranked by priority impact.