AI-Assisted SEO Audit: Evidence Before Recommendations
A repeatable SEO audit process covering crawling, indexing, content, internal links, performance, and evidence-backed priorities.
An SEO audit should explain what is wrong, how it was verified, what it affects, and how success will be measured. A long list of automated warnings is not an audit. AI can help summarize crawl data and spot patterns, but every recommendation needs observable evidence from the site or an authoritative source.
1. Establish the current state
Record the canonical domain, technology, important templates, languages, analytics access, Search Console property, business goals, and recent migrations. Freeze a dated baseline so later changes can be compared fairly.
2. Crawl and indexability
Check status codes, redirects, canonical tags, robots directives, sitemaps, duplicate routes, and internal links. A sitemap should list only preferred, indexable URLs returning 200. Separate old historical URLs in Search Console from the pages currently published.
3. Page and content quality
Review whether titles and descriptions match the search task, not merely a character limit. Confirm one clear main heading, useful body content, accurate sources, a visible author where appropriate, and a meaningful next step. Remove template citations that do not support the page.
4. International signals
Each language page should have its own canonical. Use hreflang only between genuine equivalents and require return links. Translating navigation around an unchanged body does not create a new language version.
5. Performance and rendering
Test real mobile layouts, reserve image and component space, compress static assets, and cache fingerprinted files. Distinguish lab measurements from field data; if traffic is too low for field metrics, report that limitation instead of declaring a pass.
6. Structured data and trust
Structured data must match visible facts. Do not invent ratings, prices, reviews, authors, or FAQs. Validate the generated JSON and confirm it is present in the initial HTML when search engines need it.
Turn findings into decisions
Rank issues by user harm, index impact, scope, reversibility, effort, and confidence. Every action should include affected URLs, owner, rollback, and an acceptance test. Re-crawl after deployment and monitor Search Console over weeks rather than judging a migration on the same day.
Use the AI SEO Prompt Generator to create a scoped audit prompt from your evidence, and the keyword research guide to decide which pages deserve deeper content work.