Domain and a seed keyword in. A complete site plan out.
Run a topical-authority pipeline on your own machine with Claude Code. Walk out with the universe of everything Google ties to your topic, the architecture to own it, a prioritized build list, and the first cluster of content ready to publish. More pages that rank. More traffic that compounds. More AI answers that cite you.
The old SEO loop is breaking in three places at once.
Pick a keyword, write the best page, build links, rank, get traffic. Every step of that loop is failing, and they're failing together.
AI surfaces are eating clicks.
Informational queries resolve at the top of the SERP or inside ChatGPT, Claude, and Perplexity without a click. If you're not in the citation set, you're invisible on that query, and ranking position is irrelevant.
Google ranks topics, not pages.
A site that covers a topic comprehensively (every subtopic, every entity, properly interlinked) outranks a site with one "perfect" article. The winners have structural coverage; the losers have isolated articles.
LLMs are a parallel traffic channel nobody you know is optimizing for.
ChatGPT, Claude, Perplexity, and Google's AI mode cite sources, and those citations send traffic. The cited sites have clear answers, named entities, clean architecture. Most sites aren't even measuring it yet.
The playbook that built your sites is the one that's capping them now.
Same effort, two different worlds. Here's what changed under you, and what the pipeline does about it.
- Chase keywords. One page per head term, ranked in isolation.
- Win the click. Position #1 meant traffic, back when there was still a click to win.
- Publish more posts. A content calendar of disconnected articles.
- Optimize for Google only. The SERP was the whole game.
- Rent the tools. Pretty charts you can't pipe into the next step.
- Own the topic. Every subtopic, entity, and relationship, mapped as one universe.
- Win the citation. Be the source AI answers quote, not the link nobody clicks.
- Build an architecture. Hubs, spokes, and the exact internal links that compound.
- Optimize for Google and the LLMs. A parallel traffic channel nobody you know runs.
- Own the pipeline. Raw data, your files, your logic, end to end.
Six phases. One flywheel. Run it once, then run it again next quarter.
You talk to Claude Code in plain English. Claude Code pulls from the same wholesale data layer the big tools resell, reads and writes files in your project folder, and runs every phase. You never write an API call by hand.
You give instructions in plain English. That's the whole interface.
Reads and writes your files, reasons over the data, dispatches every tool call.
Raw SERP, keyword, on-page, and AI-citation data, at source price, landing straight in your local project.
Six concrete artifacts. One folder. Every file traces back to a phase.
Not dashboards you rent. Real files on your machine. Each one the input to the next phase, each one yours to keep, diff, and re-run.
You can do parts of this with Ahrefs, Semrush, Frase, Surfer. None of them do the whole pipeline.
And the parts they do are wrapped in a UI that flattens the data into pretty charts you can't pipe into the next step.
Cancel the subscriptions. Do it all here.
Keyword research, search volume, SERP analysis, competitor gaps, on-page audits, rank tracking. The same operations you pay four tools for, run from one folder against the raw source data.
The whole pipeline costs a few dollars of data.
Every keyword volume, every SERP, every question, as raw data at the source price the big tools pay before they mark it up. Running the entire pipeline on one domain runs about $3–5.
Pipe each phase's output into the next.
You see the raw SERP. You add custom logic like "flag every question Google's AI answers where I'm not cited." No UI flattens it; the files are yours.
LLM-citation optimization, by construction.
The pipeline flags GEO-critical questions and structures content to be cited: clear answers, named entities, clean architecture. The parallel channel the tools ignore.
Structural coverage, not isolated posts.
Every subtopic, every entity, every internal link, planned as one architecture. The comprehensive coverage Google rewards over one "perfect" page.
One purchase, every site you build.
The pipeline isn't a one-off audit. Point it at a new domain, or re-run it on the same one in three months, and see exactly what moved. No per-seat, no per-project fee.
Six phases, a bonus, and the annex that keeps your work.
Strategy & Setup
Get the engine running: Claude Code installed, the data feed wired, your project folder set. Plus why the old SEO playbook breaks in 2026.
Concept Universe
The whole topic mapped: every subtopic, entity, and question Google ties to your niche, including the gaps keyword tools never show.
Entity Map
Your site crawled and graded against that map. Every gap, orphan, and off-topic page named.
Question Clusters + GEO-Critical
Every question worth answering, ranked, with the GEO-critical ones flagged: where AI cites your competitors and not you.
Architecture
The map turned into a blueprint: hubs, spokes, and the exact internal links that make coverage compound.
Prioritization
The whole build sequenced into waves, so you always know what's next: quick wins first, big clusters after.
Content Generation
Per-page briefs built from every upstream file, plus your first cluster drafted and ready to publish.
Bonus · WordPress automation with Novamira
Push the finished plan straight to WordPress: drafts, meta, internal links, and redirects, in one session.
Annex · Don't lose your work
A simple Notion project log so any session resumes cleanly and recovery is one prompt.
You don't watch. You run it, step by step, on your own site.
Every lesson is interactive: the exact prompt to paste, what to expect back, and the real screenshot of what it looks like when it works. Copy, paste, run, see the file appear. No theory you have to translate into action later.
One price. The whole pipeline.
+ ~$3–5 of pay-as-you-go data to run it on one domain (load $10 for headroom).
Everything in the box
- 10 chapters: 6 phases, bonus, annex, end to end
- Every prompt: copy-paste, the exact ones the pipeline runs
- The full setup: the data layer wired to Claude Code, step by step
- Real worked example: the whole pipeline run on a live site
- WordPress automation bonus playbooks
- Session-log annex so you never lose your place
The honest answers.
Do I need to know how to code?
No. You talk to Claude Code in plain English; it runs the tools and connects straight to the data for you. You give instructions, not API calls.
What does it cost to actually run?
About $3–5 of pay-as-you-go data to run the whole pipeline on one domain (load $10 and you've got headroom for bigger sites and re-runs). You pay wholesale, per call, with no monthly subscription. A few dollars of data versus $200/month for a tool.
Is this another "topical authority" theory course?
No. It's the Monday-morning version: a folder on your machine that turns a domain and a seed keyword into a complete site plan. Concrete files, not vibes.
Why not just use Ahrefs or Semrush?
You can do parts of it. None do the whole pipeline, and their UIs flatten the data so you can't pipe one step into the next or add your own logic.
Will this work for my niche?
If your seed keyword is broad enough to have a topic around it, yes. The worked example runs on a real site, tenniscoachblog.com, start to finish.
Does it optimize for AI citations?
Yes, by construction. It flags GEO-critical questions (where competitors get cited and you don't) and structures content to be the cited source.
Stop guessing what to write. Run the pipeline.
Domain and a seed keyword in. A complete, prioritized, citation-ready site plan out, on your own machine, in one run.