Technical SEO Audit Workflow

Monthly technical SEO audit that fixes 80% of issues automatically, not a 40-page PDF you'll never action.

Updated 2026-04-18
Tycoon solution

AI Head of Content + AI CTO run a continuous technical SEO audit. Core Web Vitals monitored daily via PageSpeed API, crawl errors pulled from GSC, broken links caught by Screaming Frog, schema validated against Google's rich-results tester, hreflang + canonical checked on every deploy. 80% of fixes auto-applied via PR; the other 20% surface with one-click approval.

How it runs

  1. Daily Core Web Vitals monitoring

    PageSpeed Insights API runs nightly on your top 100 pages (by traffic). LCP, INP, CLS tracked over time with a 14-day rolling chart. Regressions >20% trigger a chat alert with the suspected cause (new image without next/image, blocking script, layout shift source). Most regressions get root-caused in 10 minutes.

  2. Weekly crawl with Screaming Frog

    Screaming Frog crawls your full site weekly. Outputs: broken internal links, redirect chains, duplicate titles/descriptions, missing alt text, pages with thin content (<300 words), orphan pages (no inbound internal links). Delta vs last week highlights new issues.

  3. GSC indexing status

    AI Head of Content pulls GSC's Index Coverage report daily. Identifies 'Excluded' reasons (Duplicate without canonical, Crawled currently not indexed, Soft 404) and maps them to specific pages. Proposes fixes: add canonical tag, improve content, add rel=canonical to preferred version.

  4. Schema and structured data validation

    Every page with JSON-LD gets tested against Google's rich-results API and Schema.org validator. Broken schema (required field missing, wrong type) surfaces immediately. Missing schema opportunities (article page without Article schema, product page without Product+Offer) get flagged with auto-PR to add.

  5. Hreflang and canonical hygiene

    For i18n sites, AI Head of Content checks hreflang tags on every deploy: every language variant declared, reciprocal tags present, x-default set correctly, no self-referencing issues. Canonical tags verified: absolute URL, matches expected (no accidental canonicalization to dev URL).

  6. Auto-fix via PR

    Safe fixes auto-open a PR: redirect for moved page, canonical tag addition, missing alt text, duplicate title fix, sitemap regeneration. You review the PR (usually 10 seconds), merge, and deploy. No fix applied without your review, but the work is pre-done.

  7. Monthly audit report

    On the 1st of each month, AI Head of Content posts a 1-page audit report: health score out of 100, top 5 wins this month, top 5 issues fixed, top 3 remaining issues with severity, trajectory vs last month. Not a 40-page PDF — a dashboard you can read in 5 minutes and action immediately.

Who runs it

  • hire/ai-head-of-content
  • hire/ai-cto
  • hire/ai-cmo

What you get

  • Core Web Vitals stay in green (LCP <2.5s, INP <200ms, CLS <0.1) continuously
  • Broken links fixed within 24 hours of discovery
  • Schema markup complete across all content pages
  • GSC 'Excluded' pages dropping month-over-month, not rising
  • 80% of technical issues fixed by AI-generated PRs
  • Monthly audit report delivered every 1st without fail
  • Technical SEO debt stays low instead of compounding
FAQ

Frequently asked questions

Clear answers about wallet credit, usage, subscriptions, and how Tycoon charges for work.

We use Next.js — doesn't framework-level optimization handle most of this?

Framework defaults get you 60-70% of the way: next/image, App Router with SSR, automatic sitemap. The other 30% is what breaks in practice: your new /pricing page uses a <img> tag instead of next/image and tanks LCP. Your blog writer added a /use/[model] page without a canonical tag. A content migration created 800 duplicate pages. Tycoon catches these framework-level escapes — the stuff that bypassed your best practices and is silently hurting rankings.

What's the difference between this and just running Ahrefs Site Audit monthly?

Ahrefs is a data source, not an action system. It tells you there are 247 issues; it doesn't fix them, prioritize them by traffic impact, open PRs, or track fixes to completion. Tycoon uses Ahrefs (and Screaming Frog, and GSC, and PageSpeed) as inputs, then adds the layer that turns 'audit finding' into 'merged PR'. Think of it as: Ahrefs = diagnosis; Tycoon = treatment + follow-up.

Our site has 80,000 URLs from programmatic SEO. Can auditing scale to that?

Yes, with sampling. AI Head of Content stratifies: top 500 pages by traffic get daily monitoring, next 5000 get weekly, long-tail gets monthly spot checks. Issues at scale (e.g., 2,000 pages missing schema) get batch-fixed via template update, not page-by-page. Programmatic SEO specifically needs this — manual audits don't work at that scale, and skipping audits is how Google penalizes you for thin content.

What about JavaScript rendering issues — my SPA doesn't render in Googlebot?

AI CTO runs a 'rendered vs source' diff on critical pages: compares raw HTML source to what Googlebot sees post-JS (via Rendertron or Google's Mobile-Friendly Test API). Mismatches flagged as rendering issues. Usual suspects: client-side routing without SSR fallback, content behind a data fetch, React hydration errors. Fix recommendations are framework-specific (add generateStaticParams in Next.js, use SSR in Remix, etc.).

Does it handle international SEO — multiple countries, multiple languages, with different domain structures?

Yes. Handles all three structures: subdirectories (/en, /es, /de), subdomains (en.site.com), and ccTLDs (site.fr, site.de). Checks: correct hreflang on every page, reciprocal declarations, x-default for language picker, locale-specific schema (currencies, addresses), localized sitemaps, country-specific GSC properties. The most common failure mode is hreflang asymmetry (en page declares es version, but es page doesn't declare en) — Tycoon catches these and auto-fixes.

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