AI Keyword Research
Find high-value keywords with AI tooling and data-driven checks. Covers search intent, competitor keyword gaps, and building a keyword roadmap you can actually write against.
Six modules taking you from SEO fundamentals through generative engine optimization (GEO), answer engine optimization (AEO), and LLM citations. Every module pairs the concept with a hands-on exercise, so you finish with work you can show.
The curriculum runs in order. Each module assumes the one before it, because keyword research shapes your content, content shapes your technical needs, and technical health decides whether your links do anything at all.
Find high-value keywords with AI tooling and data-driven checks. Covers search intent, competitor keyword gaps, and building a keyword roadmap you can actually write against.
Write pages that rank and still read well. On-page structure, title and meta work, internal linking, and using AI to speed up drafting without flattening your voice.
Site speed and Core Web Vitals, crawling and indexing, XML sitemaps and robots.txt, structured data, and tracking down the crawl errors that quietly cap your rankings.
Earn quality backlinks with outreach, guest posting, and linkable assets. Includes which black-hat shortcuts to avoid and why they eventually cost more than they gain.
Apply the material to live sites and case studies. You leave with completed project work rather than theory, which is what hiring managers and clients ask to see.
A scenario-based exam covering every module, with instant feedback and an official certificate once you pass. Proof you can run a modern, AI-assisted SEO process.
Optimizing for AI answer engines runs through every module rather than sitting in a bolt-on lesson. The field has picked up several competing names, so here is what each one means and where the course covers it.
Earning visibility inside AI-generated answers — Google AI Overviews, ChatGPT search, Perplexity, Gemini. Covered across modules 2 and 3.
Structuring pages so a specific answer can be lifted cleanly from a specific place, rather than only ranking the page overall. Module 2.
Becoming a source that language models quote and attribute. Covers entity signals, brand mentions, and citation-worthy formatting. Modules 2 and 4.
On the acronyms: GEO, AEO, LLM SEO, LLMO, and AI SEO are used interchangeably by most people, and no consensus definition exists as of 2026. Courses marketing themselves on one label are usually teaching the same underlying work. Judge the syllabus, not the acronym.
An independent directory scoring 45 English-language AI SEO programs tracks 13 curriculum topics, and found the median program confirms only five or more of them. Here is where this course stands on each, stated plainly so you can compare it against any other:
robots.txt rules for AI user-agents and llms.txt.Topic list and coverage statistics from the AiSeoCourse Directory curriculum heatmap (CC BY 4.0), checked 21 September 2026.
The case for learning this now rests on measured data rather than opinion.
What this does not mean: that traditional SEO is finished. Crawlability, useful content, and credible links still decide whether you are eligible to be cited in the first place. Anyone selling AI SEO as a replacement for the fundamentals is selling you half a process.
Being straight with you about fit, because the wrong match wastes your time:
No prior SEO experience needed. Module 1 starts from fundamentals. If you already run SEO day to day, skip ahead — access is lifetime, so order is yours to choose.
You should compare. AI SEO training now ranges from free to about $2,000, and the format differences matter more than the price. Across 45 scored English-language programs the median normalised cost is $33.25 a month, and 18 of them are free (AiSeoCourse Directory, checked 21 September 2026).
Where this course is not the right answer: if you want a live cohort with deadlines, weekly calls, or an always-on community, a Skool community or a Maven cohort fits better. If your focus is local search specifically, take a dedicated local program. If you need zero-cost reference material, the free manuals from Ahrefs and iPullRank are genuinely worth your time. This course suits people who want one sequenced, practical path from fundamentals through AI search, at their own pace, without a recurring bill.
It depends on your pace, since the course is self-paced with lifetime access. Most learners working through it part-time cover a module per week. Going faster or slower changes nothing about your access.
No. Module 1 begins with fundamentals and builds from there. Experienced practitioners can skip to the modules they need instead of starting at the beginning.
You can complete the course using free tiers and free tools. Paid tools are covered so you know what they add, but no purchase is required to finish the material or the exam.
The certificate shows you completed the curriculum and passed the exam. Treat it as supporting evidence alongside your project work. In hiring conversations, the real results you can show will always carry more weight than any certificate.
Yes. Alongside traditional Google ranking work, the material covers how AI answer engines pick sources, and how to structure pages so they can be cited.
In practice they overlap heavily and there is no agreed definition as of 2026. GEO (generative engine optimization) usually means visibility inside AI-generated answers. AEO (answer engine optimization) emphasises structuring content so a direct answer can be extracted. LLM SEO or LLMO focuses on being cited by language models. Most courses using any of these labels teach broadly the same work, so compare syllabuses rather than acronyms.
It depends on whether you need structure. The underlying information is publicly available in free manuals from Ahrefs, iPullRank, and others, so a course is worth paying for when you want a sequenced path, exercises, and a reason to finish. If you are self-directed and happy assembling your own curriculum, start with the free material.
Across 45 scored English-language programs the median normalised cost is about $33 a month, 18 are free, and paid options run from roughly $9 one-off to $1,995. Communities usually charge $27–$289 monthly, live cohorts around $299–$549 one-off.
Yes, and deliberately. Modules 1 through 3 cover keyword research, content optimization, and technical SEO before the AI-specific material builds on them. Nine of 45 scored programs confirm they skip traditional SEO, which leaves a gap, because crawlability and content quality still determine whether you are eligible to be cited in AI answers.
It teaches the work that makes citation possible: extractable page structure, structured data, entity and brand signals, and crawler access for AI user-agents. No course can promise placement in any specific AI answer, since those systems choose sources independently and change frequently. Treat any guarantee of AI Overview placement as a warning sign.
Work through all six modules at your own pace, keep lifetime access, and earn your certificate at the end.
Enroll now