SEO Content Production Workflow

From keyword spreadsheet to ranked page in 72 hours. Without you writing a word.

Updated 2026-04-17
Tycoon solution

Tycoon's content team (AI CMO + AI Head of Content + AI Head of Growth) runs the full SEO pipeline on a weekly heartbeat. Keyword discovery from Ahrefs/GSC, competitor SERP analysis, brief generation, drafting with real data citations, internal linking, schema markup, and publishing. 2-3 pages shipped per week, every week.

How it runs

  1. Weekly keyword discovery

    AI Head of Growth pulls GSC impression-rich/click-poor pages, Ahrefs gap keywords, and Google Trends risers every Monday. Ranks by priority score (volume × intent × winability).

  2. Competitor SERP scrape

    For each target keyword, AI CMO scrapes top 10 ranking pages, extracts their H2 structure, word count, schema types, and internal link patterns. Identifies content gaps to exploit.

  3. Generate brief

    AI Head of Content writes a brief: target keyword, search intent, recommended H1/H2s, word count target, entities to cover, sources to cite, internal links to include, schema type. Fits one page.

  4. Draft with real data

    AI Head of Content drafts 1500-2500 words pulling real data from your Stripe/analytics ('our customers average $X', 'pricing ranges from Y to Z'), industry reports, and cited research. No generic AI fluff — every section grounded.

  5. Internal linking pass

    AI Marketing Manager scans the draft for anchor opportunities and cross-links to relevant existing pages (Related Resources block + contextual in-line links). Also adds backlinks to the new page from 3-5 high-authority existing pages.

  6. Schema + technical SEO

    AI Head of Content adds FAQPage, BreadcrumbList, and type-appropriate schema (WebAPI/HowTo/Article). Validates against Schema.org, checks meta title/description length, adds OG image.

  7. Founder approves, publish

    Draft lands in chat Thursday with 1-line summary + delta from brief. You skim, approve. AI Marketing Manager publishes to your CMS, submits to GSC for indexing, updates sitemap, and shares on social.

Who runs it

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

What you get

  • 2-3 SEO pages published weekly, indefinitely
  • Organic traffic compounds (10-50% MoM for new sites)
  • Content cost: $300-500/mo vs $5-15K for a human content team
  • Full schema + internal linking — no technical debt
  • Every page grounded in real data (no AI hallucinations)
  • Weekly GSC data feeds back into next week's topic selection
FAQ

Frequently asked questions

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

Does AI-written content still rank after Google's March 2026 updates?

Yes — if the content is grounded and original, not generated from nothing. Google's helpful content signal rewards first-party data, real expertise, and clear intent matching. It punishes scaled programmatic content that's just keyword + filler. Tycoon's AI Head of Content pulls your actual metrics (Stripe MRR, real customer use cases, your own pricing), cites authoritative sources, and follows the brief precisely — which is exactly what human content teams do. The SkillBoss blog has 40+ AI-written pages, most ranking top 3 for commercial keywords in 2026.

How is this different from tools like Frase, Surfer, or Writesonic?

Those are drafting tools — they produce a draft and stop. You still need to run keyword research elsewhere, gather data, write internal links, add schema, publish, and remember to do it every week. Tycoon's content team runs the whole pipeline as an autonomous workflow with persistent memory. By week 4, the AI CMO knows which topic clusters rank for you, which angles work, which CMS quirks to handle — none of that transfers across Frase sessions. You can keep Frase for ad-hoc drafting; the weekly engine runs in Tycoon.

What if I have a unique angle or opinion I want injected?

Tell the AI CMO in chat: 'For this piece, argue that most AI gateways hide true pricing — here's my evidence.' It incorporates your angle, writes the piece from that POV, and cites the evidence you provided. The AI isn't imposing a generic take; it's executing your editorial direction. Same as a human writer would, except it happens in 2 hours instead of 2 weeks.

How does this compare to Polsia's SEO agent?

Polsia runs a generic content agent with no persistent SEO memory. It can write one post well; it can't learn that your domain ranks better for 'how-to' keywords than 'vs' keywords after 8 weeks of data. Tycoon's AI CMO persists the workspace memory, re-reads GSC data every week, and evolves the strategy — topics that underperform get diagnosed; topics that overperform get follow-ups. The compounding flywheel needs memory that Polsia doesn't have.

Can it translate pages into other languages for international SEO?

Yes. The AI Marketing Manager runs i18n as a chained step: after an English page publishes, it triggers translation into your target languages (Spanish, German, Japanese, Chinese, Korean, Portuguese, etc.), adjusts hreflang tags, and publishes the localized variants. Translations aren't literal — idioms, examples, and CTAs get localized. For SkillBoss we run this pipeline across 7 languages and get 20-40% of total traffic from non-English queries.

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