GoldieBench Blog · 9 min read
AI SEO Training: Where To Get It, The 7 Modules To Learn, And The AI Models I Use For SEO
AI SEO training in 2026: where to get my free 262-lesson course, the 7 modules that matter, and which AI models to use for SEO with real bench scores.

AI SEO training is free to start, and the first place I would send you is my free AI SEO course, which currently shows 262 lessons across 22 modules.
I am Julian Goldie, and I have done SEO for over a decade and now run most of it with AI agents.
This post answers the question in three parts.
The first part shows you where to get AI SEO training, both free and paid.
The second part teaches the seven modules in short form, so you learn the method on this page.
The third part comes near the end and covers which AI models I would use for SEO writing and planning, with real GoldieBench scores.
Where to get AI SEO training
| Training | What you get | Cost |
|---|---|---|
| Free AI SEO course | The page currently offers 262 lessons across 22 modules, with 200+ SEO prompts and 50+ free AI SEO tools as bonuses. | Free |
| AI Money Lab | This is my free community, with a free AI course and 1,000 AI agents. | Free |
| YouTube | I publish daily AI and SEO tutorials for 400,000+ subscribers. | Free |
| The full Claude AI SEO course | This is my free written course with real Search Console charts. | Free |
| AI Profit Boardroom | You get the installable Agent OS, the SEO pipeline and four coaching calls a week. | Paid |
| SEO Elite Circle | This is my SEO mastermind for experienced SEOs. | Paid |
A beginner should start with the free course and the AI Money Lab.
Someone who wants the system installed and live help should look at the AI Profit Boardroom.
I have listed training from other providers further down, because you should compare.
What AI SEO training is
AI SEO training teaches you to use AI tools to plan, write, publish and measure content that ranks in Google and gets cited in AI answers.
Good training teaches a repeatable workflow rather than a list of prompts.
The workflow I teach has seven modules.
| Module | What you learn | What you produce |
|---|---|---|
| 1. Keyword research | How to find winnable keywords with AI and Search Console | A short keyword list |
| 2. Search intent | How to match the page format to the search | An outline |
| 3. Writing with AI | How to ground a draft in real work and check it | A checked article |
| 4. AEO | How to shape answers that AI search can quote | Answer-first sections and an FAQ |
| 5. Linking | How to wire internal links and links across your own sites | Day-one links |
| 6. Indexing | How to get the page crawled quickly | An indexed page |
| 7. Measuring | How to read Search Console weekly | Next week's list |
Module 1: keyword research with AI and Search Console
Google Search Console is free, and it shows the searches Google already connects with your site.
You export your queries and ask an AI model to sort them into three groups.
Striking-distance keywords sit between positions 5 and 20.
Click-through leaks are page-one keywords that almost nobody clicks.
Content gaps are searches where you get impressions and have no dedicated page.
On 22 September 2026 my own research run showed 78 striking-distance keywords and 23 leaks across my sites.
In another live run, my keyword skill scored 184 real queries in a single pass.
If your Search Console is empty, you use Google autosuggest and add one letter at a time to your seed topic.
Every suggestion is a real search, and the People Also Ask questions become your FAQ later.
Module 2: matching search intent
The shape of the keyword tells you which page to build.
| Keyword shape | What the searcher wants | Format |
|---|---|---|
| A product name | They want to understand it and use it. | An explainer plus a how-to |
| Best X or top X | They want to pick from a list. | A ranked list with the answer first |
| X vs Y | They want to decide. | A verdict first, then a comparison |
| How to X | They want to do it. | Numbered steps |
The rule under every row is that the page answers the core question on the first screen.
I also google each keyword and study page one for sixty seconds before I commit to it.
Module 3: writing with AI the right way
The wrong way is to ask a model for an article and publish what comes back.
The right way starts with real work.
I record my screen while I test something, and the transcript becomes the only source the model may use.
The rule at the top of my skill file is that no transcript means no article.
The draft then passes a 13-step skill before it goes live.
In one recorded test I planted four problems in a draft, and the check caught all four in about ninety seconds.
One of them was a "300 clicks" line where my case study said 278.
A person still reads the final page and decides whether it deserves to be published.
Module 4: AEO and AI search citations
AEO means answer engine optimisation, which is the work of getting quoted in AI answers.
Google's documentation says there are no additional requirements to appear in AI Overviews or AI Mode, and no special optimisations are necessary.
So AEO starts with good SEO.
On top of that, I make every section answer its question in the opening lines.
I add an FAQ with direct, self-contained answers.
I include original information from real work, because a model cannot find that anywhere else.
I also add Article and FAQ schema, although Google's generative AI guide says structured data is not required for generative AI search.
I keep the schema because it is quick and it labels the page clearly.
Module 5: internal and network linking
Each new article links to two to four older related pages.
After publishing, my agent goes back to three to five older posts and adds a small "latest updates" block that links to the new article.
That gives the new page links on its first day.
I run several sites, so some of those links come from my other properties.
These are links between pages I own, and I avoid link schemes because they break Google's spam policies.
Module 6: indexing
A page that Google has not crawled cannot rank.
My publish step submits every new URL for indexing straight away.
The fastest result I have recorded is a brand new page on page one of Google in 14 hours.
That is my best case, and most pages take longer.
The free method is the URL Inspection tool in Search Console.
Module 7: measuring
I check Search Console once a week.
I look for pages just off page one that need a refresh.
I look for pages with rising impressions and flat clicks, which usually need a better title.
I look for winners, because each one suggests new related keywords.
One example from my own data was the keyword "hermes workspace", which had about 37,000 impressions across two sites and only 307 clicks.
Both pages were already on page one, so the fix was the title and not a new post.
The receipts behind this AI SEO training
| Result | Number | Source |
|---|---|---|
| Brand new page to Google page one | 14 hours | Claude AI SEO guide |
| One site built with this system | 278 clicks a day, with 122,674 impressions and 4,310 clicks in 90 days | The same guide |
| Six sites over 16 months | 50,541 clicks and 3.25 million impressions | Infinite Ranking Engine guide |
These numbers come from my own Search Console.
They are not a promise for your site.
New sites often need three to six months before traffic moves, and one of mine stayed flat for about seven months.
Google's spam policies on scaled AI content
Google's spam policies define scaled content abuse as generating many pages for the primary purpose of manipulating search rankings and not helping users.
One of Google's examples is using generative AI tools to generate many pages without adding value for users.
Google says this applies no matter how the content is created.
Google's AI content guidance says its focus is on the quality of content rather than how content is produced.
So the model you use is not the risk.
The risk is publishing pages that add nothing.
Google ran spam updates in March, June and August of 2026, so I treat this rule as the first lesson of any AI SEO training.
Other reputable AI SEO training options
These are well-known providers, and I have only listed facts shown on their own pages.
| Provider | What it offers | Cost shown |
|---|---|---|
| Google Search Central | Google's SEO Starter Guide and its guide to generative AI features in Search | Free |
| Ahrefs Academy | A free Answer Engine Optimization course with 12 lessons and a free beginner SEO course | Free courses |
| HubSpot Academy | AEO Fundamentals, a free certification course of about two hours and twenty minutes | Free |
| LearningAIsearch.com | A free AI search optimisation roadmap curated by Aleyda Solis | Free |
| Semrush Academy | Free online marketing courses and webinars on AI visibility | Free courses |
If you want people to learn from as well as courses, read my top SEO experts post and my best SEO professionals post.
If you prefer community-based learning, my best Skool courses post compares the options.
Which AI models write and plan SEO best
This is the part that belongs on a model leaderboard, so I have kept it for the end.
AI SEO training is a skill and not a model, so it has no GoldieBench score.
What the board can tell you is how the models you would use for SEO perform on real one-shot work.
GoldieBench gives every model the same prompt and one attempt, and then scores the rendered build from 0 to 10.
The tasks are builds such as pages, games, simulations and visuals.
So the board measures planning and building ability rather than SEO writing directly.
I still find it a useful guide, because a model that can plan a complex page in one shot usually follows a long SEO skill file well.
| Model | Live GoldieBench average | Where I would use it in the seven modules |
|---|---|---|
| Claude Opus 5 | 8.27 | I use Claude through Claude Code as my main writing brain for module 3. |
| GPT-5.6 Sol | 8.16 | I would use it for the hard planning calls in modules 1 and 2. |
| Claude Fable 5 | 8.10 | I keep it for the hardest, highest-stakes prompts. |
| GLM-5.2 | 7.77 | It is the long-context default in my Agent OS, which suits whole-site analysis in module 7. |
| Claude Opus 5.5 | 7.57 | It is the newest Claude on the board, and it was benched through my Claude subscription. |
| Kimi K2.7 | 7.46 | It is one of the agents in my Agent OS crew for everyday tasks. |
| Grok 4.7 | 7.15 | Its page covers 20 demos so far, so treat this as an early score. |
| Gemini 3.6 Flash | 7.08 | It is a cheap, fast lane for small jobs such as titles and FAQ drafts. |
| Claude Sonnet 5 | 7.01 | It is strong at iterative, tool-using work, even though its one-shot build score is lower. |
I also use DeepSeek V4 for SEO in my videos.
Both DeepSeek V4 Flash and DeepSeek V4 Pro have pages on the board, but they are not yet scored, so I am not giving them a number.
If you want free and offline options, the local models board ranks models you can run on your own machine.
How to choose a model for each SEO module
My honest advice is that the process matters more than the model.
For keyword research, you want a model that handles a long export and follows sorting rules, so a long-context model is a sensible choice.
For writing, you want the model that follows your skill file most faithfully, and for me that has been Claude.
For titles, schema and FAQ drafts, a cheaper and faster model is usually enough.
For the final check, you want a strong model and then a human.
A top-scoring model with no real source material still writes forgettable pages.
An average model fed with a real transcript and checked by a person can rank.
Also On Our Network
- Agent Operatorsthe seven-module AI SEO training workflow for operators
- AI Income Deskhow to turn AI SEO training into leads and clients
- AI Tool VerdictAI SEO training options compared, with my verdict
- agentos.guidehow the Agent OS runs the AI SEO pipeline
- agentos.guideJulian's full Claude AI SEO course on agentos.guide
Take the free course, run the seven modules with real source material, pick a model you trust for each job, and you will get real value from your AI SEO training.
FAQ
Where can I get AI SEO training for free?
Julian Goldie's free AI SEO course currently shows 262 lessons across 22 modules. His AI Money Lab community and YouTube channel are also free, and Google Search Central, Ahrefs Academy and HubSpot Academy publish free training.
What does AI SEO training teach?
It teaches seven modules: keyword research with AI and Search Console, search intent, writing with AI, AEO, internal and network linking, indexing and measuring.
Which AI model is best for SEO writing?
GoldieBench measures one-shot building ability rather than SEO writing directly. Julian uses Claude through Claude Code as his main SEO writing brain, and Claude Opus 5 averages 8.27 on the live board.
Does AI SEO training have a GoldieBench score?
No. GoldieBench scores AI models, not courses or skills. The models Julian uses for SEO include Claude Opus 5 (8.27), GPT-5.6 Sol (8.16), Claude Fable 5 (8.10) and GLM-5.2 (7.77) on the live board.
Does Google penalise AI content?
Google says its focus is on the quality of content rather than how it is produced. Its spam policies do penalise scaled content abuse, which means many pages generated to manipulate rankings without helping users.
How long does AI SEO take to work?
There is no guaranteed timeline. New sites often need three to six months before traffic moves, although Julian's fastest single page reached page one of Google in 14 hours.


