Technical delivery
The audit checks responses, redirects, canonicals, robots directives, sitemaps, security headers, and rendered HTML. This separates crawler access failures from page content problems.
Site Bench audits technical SEO, page content, structured data, accessibility, and Core Web Vitals. It also checks AI search readiness. Every report includes evidence and prioritized fixes.
Supporting detail
Related checks are grouped for quick scanning. Each group retains its evidence and repair priority.
Crawlability, indexability, robots.txt, sitemaps, canonical URLs, and security headers.
E-E-A-T signals, readability, depth.
Validation, types, and rich snippets.
Core Web Vitals, LCP, INP, CLS.
Alt text, format, lazy loading.
Title tags, meta descriptions, headings, keyword optimization, and internal linking.
LLM optimization, llms.txt compliance, citation-friendly content structure.
Audit coverage
Three-step workflow
Enter a public URL
Run a single-page audit or start a private site crawl.
Inspect the evidence
Review measured values, affected elements, confidence, and repair targets.
Fix and rerun
Deploy the change, rerun the same URL, and verify the acceptance check.
Evidence-backed methodology
Site Bench separates observable defects from strategic recommendations. Each finding identifies the affected page or element. The report explains the evidence and defines a successful rerun.
The audit checks responses, redirects, canonicals, robots directives, sitemaps, security headers, and rendered HTML. This separates crawler access failures from page content problems.
The audit reviews metadata, headings, copy, links, schema, images, and accessibility together. Every result points to specific evidence instead of a generic checklist.
The audit compares performance with AI crawler access, llms.txt, and answer structure. These checks improve delivery and machine understanding. They do not promise rankings or citations.
Primary references
Site Bench checks pages against published search, performance, accessibility, and structured data guidance. Reports link measured evidence to practical fixes.
Technical requirements, spam policies, and people-first content guidance.
Definitions and measurement guidance for LCP, INP, and CLS.
Testable accessibility requirements for web content and interfaces.
Shared structured data types used by search engines and other applications.
From signal to fix
Reproducible findings, page evidence, and a clear verification loop.
01 / Detect
Surface indexing, rendering, redirect, canonical, and broken-link failures.
02 / Inspect
Review the affected element, captured evidence, confidence, and repair target.
03 / Verify
Rerun the deployed URL and compare the result before the change ships.
These direct answers cover the core workflow for page checks and release reviews.