SEO tech audit
Classic technical SEO audit refreshed for the AI search era. Deterministic title, meta, canonical checks plus AI judged structural checks.
Executive summary
Three short paragraphs explaining the feature and value.
SEO tech audit is the classic technical SEO audit refreshed for the AI search era. Deterministic checks form the baseline: title length, meta description quality, canonical declaration, sitemap completeness, viewport meta, robots directives, Core Web Vitals across mobile and desktop. The first half of the rubric is fact based pass or fail.
AI judged checks fill the second half. Does the slug match the topic? Do the first hundred words answer the implied question? Is the meta description compelling enough to win clicks against competing SERP results? Are headings written for humans or for an old SEO playbook? These are judgement calls a model handles better than a rule could.
Same three tabs as AEO and GEO. Score gives the headline number with delta and prioritised actions. Audit items shows per check pass rates. Brand pages drills into URL failings. The familiar SEO surface area for traditional teams, plus the AI judged layer that catches the soft signals deterministic checkers miss every single day across the index.
Key highlights
Five capability points teams should know about quickly.
- Deterministic checks for baseline technical SEO
- AI judged checks for slug, intro, meta quality
- Core Web Vitals across mobile and desktop
- Score, Audit items, Brand pages tabs
- Familiar surface area for traditional SEO teams
Top FAQs
Five common questions answered for fast practical clarity.
What deterministic checks does the audit run?
Title length, title uniqueness, meta description length and presence, canonical URL declaration, sitemap inclusion, robots and meta robots directives, viewport meta tag, structured data validity, hreflang for multi region, Core Web Vitals on mobile and desktop. Standard technical SEO checks any traditional SEO tool would also run, refreshed quarterly against current best practice.
Why include AI judged checks at all?
Because deterministic checks miss the judgement calls that often matter most. A title can be sixty characters and well formed yet completely fail to capture the page topic for a buyer searching. The AI judged layer catches those soft failures that traditional tools cannot. Combined with the deterministic layer they give a complete pass rate signal.
Do AI judged checks vary across scans?
Yes, slightly. AI outputs are probabilistic; the same page run twice can score marginally different on subjective checks. The audit averages multiple judgements per check per page to dampen variance. Significant variation between scans is itself a signal that the check criterion is borderline for that page and worth a manual review by the auditor.
How does this interact with SEO visibility?
Tech audit fixes typically lead visibility shifts by two to four weeks. A SEO audit gain shows up in SEO visibility once Google re crawls and recomputes ranking signals for the affected pages. The lag varies by site authority and crawl frequency, but the audit signal is reliably predictive of the visibility direction within the cycle.
How does the audit scope handle large sites?
Default scope is the Core URLs from the Brand sitemap plus any Blogs URLs flagged as priority, typically fifty to one hundred pages. Larger sites can extend scope incrementally via workspace settings. Auditing every URL on a ten thousand page site is technically possible but rarely useful; depth on the pages buyers actually land on yields better ROI than breadth across every page.