The Rank Everywhere Engine.
The full AI SEO course.

The One-Podium Problem.

Imagine training for years to win one race.

You finally place on the podium — position #4 on Google.

Then you look up.

Your buyers aren't in the stadium anymore.

Some are asking ChatGPT. Some are asking Perplexity. Some never scroll past Google's AI answer at the top.

Some are searching YouTube instead.

You optimised for one podium — and the crowd split across five.

Meanwhile the old way of ranking — one hand-written article a week, pray, wait six months — was already too slow when there was only one podium to win.

The Rank Everywhere Engine breaks that cycle: one machine that puts the same work on every podium at once.

One engine, every podium.

Here's the whole course in one breath.

You find the questions your buyers are already asking — using your own Search Console data (Google's free report of every search you appear in) plus AI research.

AI agents write real answers to those questions — proper articles, not slop — and publish them.

You get them indexed (into Google's library) the same day instead of waiting weeks.

Each article gets multiplied: a video, a short, a social post — same work, more podiums.

The machine then reads its own scoreboard, finds what's leaking clicks, fixes titles, and compounds.

Set it up once. The engine runs while you make videos, serve clients, or sleep.

One article's journey through the engine.

So when someone asks "but what IS it?" — it's a loop: scoreboard → winnable keyword → agent-written answer → same-day index → multiply → re-read the scoreboard. Everything in this course installs one piece of that loop.

Seven modules — each with a full deep-dive guide.

This page is the course. Each module below teaches the essentials, then links to the complete guide on that topic — so when you want to go deeper on any piece, the full walkthrough is one click away.

Find keywords with buyers — in your own data first.

Most people start SEO by guessing keywords in a paid tool. Wrong way round.

Your Search Console already lists every search you appear in — for free. That's not guesses. That's Google telling you where you're already almost winning.

Three signals to hunt, in order:

Striking distance. Keywords sitting at position 5–15. You're on the doorstep — one refresh or a few internal links pushes you onto the podium.

Content gaps. Keywords you get impressions for with NO page actually answering them. Google is begging you to write it.

Click leaks. Page-one rankings with a weak title, earning a fraction of the clicks they should. (That's Module 4's whole job.)

What you're looking at: my Agent OS pulling live Search Console data for one of my sites — 5,000 queries analysed, 86,300 impressions in 28 days, filtered into No-clicks (5), Striking distance (5), Low CTR (17) and Content gaps (7). Top row: the exact "hermes workspace" click-leak you'll meet again in Module 4, scored 39,353. This is the goldmine, scored automatically.

Content that ranks — written by agents, not slop.

AI content fails when you ask one chatbot to "write an article about X." That's slop, and Google's gotten good at ignoring it.

AI content wins when it runs like a newsroom:

One reporter researches — pulls what's actually ranking, what questions sit underneath, what's missing from every current answer.

One writer drafts — answer in the first two lines, then proof, steps, and specifics. Write like you talk. Short sentences.

One editor reviews — checks facts, adds internal links to your related pages, kills fluff.

Three agents, one pipeline. On my setup that's the Agent Kanban running Planner → Builder → Reviewer — real articles shipping to live sites without me touching a keyboard.

The rules that make it rank: answer the exact question in the opening, cover the entities Google expects (the people, tools and terms every top answer mentions), one page per question, internal links both ways.

Get indexed the same day — publishing isn't ranking.

Here's the step almost everyone skips, then wonders why nothing ranks.

When you publish a page, Google doesn't know it exists. It has to crawl it (visit it) and index it (file it in the library). Left alone, that can take days or weeks — and for a small new site, sometimes never.

The engine never waits:

Sitemap always current — the file that lists every page for Google. Your CMS should update it automatically; verify it once.

Ping on publish — every new URL gets submitted for crawling the moment it goes live, through an indexing service wired into the pipeline. My publishing flow submits every fresh URL the same hour it ships.

Internal links from day one — a new page with zero links pointing at it looks like an orphan. The editor agent links it from your related pages at publish time, so crawlers find it from every direction.

Stop the leaks — you're already ranking for clicks you don't get.

This is the fastest win in all of SEO, and it needs zero new content.

A page-one ranking should earn roughly 4% of impressions as clicks. When it earns 1%, you don't have a ranking problem — you have a title problem. The searcher saw you and picked someone else.

The fix is a rewrite, not a rebuild: put the answer's promise in the title, front-load the keyword, make the meta description a reason to click, add the year.

Rank in the AI answers — Perplexity, ChatGPT and Google's AI box.

This is the "everywhere" in Rank Everywhere Engine — and the part your competitors haven't started.

AI answer engines (Perplexity, ChatGPT search, Google's AI Overviews) don't rank pages the way classic Google does. They read pages and cite the clearest answer. Which changes what wins:

Answer first. The direct answer in the opening two sentences — quotable, liftable, no throat-clearing. AI engines cite pages they can quote cleanly.

Structure like a reference. Clear headings that ARE the questions, short factual paragraphs, lists and steps. You're writing for a reader AND a machine that summarises.

Be the named source. Fresh dates, real numbers, an author. Answer engines prefer pages that look like a source, not an ad.

Multiply the surfaces. The same answer as a YouTube video gets cited by video-aware engines; the short version feeds discovery. One answer, every format.

I've had pages rank #1 on Google and get cited by Perplexity the same day they were published — that's the same-day index (Module 3) plus answer-first structure doing their job together.

Links still decide who wins the tie.

Two good answers to the same question? Google shows the one from the site with more authority. That's earned two ways, and agents help with both:

The internal grid. Free, instant, ignored by most people. Every page links to its siblings — cluster pages up to the pillar page, pillar down to clusters. The editor agent wires this at publish time. A tight internal grid is why new pages on an established network rank in days, not months.

Real outreach, run by an agent. Guest posts, niche mentions, partnerships — the grind that built my agency. (Link building is literally the business I scaled to 70+ people, and I wrote the book on it — Link Building Mastery.) The Hermes outreach agent finds prospects, drafts the pitches, and manages the follow-ups; you approve sends.

Rule of thumb for this course: nail the internal grid first — it's free and compounds — then layer outreach on the pages that are already close to winning (your Module 1 striking-distance list).

Put the whole engine on agents — and go make videos.

Everything you've learned is a loop a machine can run:

Read the scoreboard → pick the fight → write the answer → index it → multiply it → patch the leaks → repeat.

In my Agent OS this is literally a kanban board. Cards move from Planned → Writing → Review → Published, each column worked by a different agent. The SEO cluster mode plans a whole topic cluster, writes every article, and ships them to a live funnel site — while I record YouTube videos.

Want it bigger? The SEO Office setup runs 25 specialist agents — keyword miner, brief writer, drafters, editors, internal-linker, indexer — like an agency floor on one Mac.

The 28-day numbers at the top of this page — 135,874 impressions, 3,916 clicks across 6 sites — is this autopilot's output. Not a content team. A machine you configure once.

What you're looking at: a real agent-written article live on my funnel network — the exact page behind Module 4's case study, currently pulling 6,092 impressions a month at position 7.4. The machine wrote it, indexed it, and is now fixing its title.

Four sites, same engine, real climbs.

These are monthly click counts from sites in my own funnel network, before the engine touched them versus after it had been running:

Add the live 28-day network numbers from the top of this page — 11,116 keywords, 135,874 impressions, 3,916 clicks — and the pattern is the point: the engine doesn't spike, it compounds. Every article, every patched title, every citation stacks on the last one.

The Rank Everywhere Engine — six parts, one machine.

The seven modules you just learned assemble into six engine parts. This is the picture to keep:

The content team vs the engine.

What actually stops people ranking.

Your first pass through the engine — eight steps.

One month to a running engine.

What you walk away with.

The people building their engine now, while AI search is still settling, are going to be way ahead when it does. Every article, every patched title, every citation compounds.