What I no longer teach in SEO (and what changed since 2009)
TL;DR
- I've taught SEO since 2009 and, over the years, cut more than I've added.
- Tactics died: keyword density, meta keywords, directories, bought links and exact-match domains.
- Principles survived: intent, technical base, useful content and real authority.
- New and non-negotiable: rendering for AI, entity, GEO/AEO and measuring AI traffic.
What fell and what stayed (2009-2026)
- 12009-2011: keywords, directories, bought links
- 22012-2018: Panda and Penguin, content, mobile
- 32019-2023: intent, E-E-A-T, Core Web Vitals
- 42024-2026: entity, GEO, rendering for AI
Tactics fall. Principles stay.
I've taught digital marketing and SEO since 2009. In that time, what I cover in class has changed layer four times, and the most useful lesson isn't a new tactic. It's what I stopped teaching. I've cut more than I've added. SEO didn't get easier or harder: it changed its fundamentals, and anyone who confuses a tactic with a principle stays stuck in the SEO of 2015.
What died (and why I once taught it)
Each of these tactics genuinely worked, in a Google that no longer exists. I taught them because they delivered at the time; today they'd earn you a penalty or, at best, wasted effort.
Keyword density. People counted the percentage of times the keyword appeared. It worked when the engine was little more than a word counter. Today you write for intent, not for a percentage.
Meta keywords. Google itself confirmed in 2009 that it doesn't use the keywords meta tag for ranking. I kept seeing courses teach it a decade later.
Directories and bought links. Submitting your site to hundreds of directories and buying links in bulk was routine before Penguin (2012). After Penguin, it's the fastest route to a link-scheme penalty.
Exact-match domains and article spinning. Registering buycheapshoes.com or spinning 50 thin variations of the same text stopped being an edge and became a risk. They're tricks from an era when the engine couldn't judge quality.
The pattern is always the same: they were shortcuts to fool a dumb engine. As the engine got better at understanding intent, language and quality, the shortcuts died one by one.
What survived: the principles that don't change
Under the tactics that fell, there's a base I've taught the same way since day one, because it never depended on the algorithm of the moment.
Search intent. Understanding what the person actually wants when they type a query, and answering that, has always separated SEO that lasts from SEO that catches one spike. Technical base. If the engine can't crawl, render and index, nothing else counts, and that's more critical now than ever, as I cover in technical SEO consulting and audits. Useful content and real authority. Answering better than the alternative, and being a source people trust, is the principle E-E-A-T merely wrote down.
What's new and non-negotiable today
The 2024-2026 layer doesn't replace the principles; it sits on top of them. It's what I've added to class in the last two years, and what separates a current course from a museum piece.
Rendering for AI. AI crawlers read raw HTML and don't run JavaScript. A client-side-rendered site can rank on Google and be invisible in ChatGPT. It's the new frontier of technical SEO. Entity. Optimizing pages is no longer enough: you have to be a recognized entity, with the right schema and signals, as I cover in E-E-A-T and entity in the AI era. GEO and AEO. Being cited by AI engines and appearing in AI Overviews is a discipline of its own, GEO. Measuring AI traffic. If you don't separate visits coming from AI, you don't know what's working, which is why I teach how to measure AI traffic in GA4.
The mistake of those who learned the old way
The costliest mistake I see in people trained a few years ago isn't using an old tactic, it's confusing a tactic with a principle. Someone who learned "write for keyword density" as a principle is lost when the tactic dies. Someone who learned "answer the intent" as a principle adapts the tactic on their own, algorithm update after algorithm update. That's why I insist so much on the why and not just the how: a tactic has an expiry date, a principle doesn't.
How I stay current (and what I expect from a good student)
There's no way to teach this without doing it myself. I read the primary sources (Google's documentation, not the summary of a summary), I test on real accounts before treating anything as settled, and I keep a steady cadence instead of cramming when it's already late. That's exactly what I expect from a good student: not memorizing this semester's tactic, but building the habit of updating it. If you're choosing where to learn, the criteria I use are in how to choose a digital marketing course; what I teach is in the courses.
Sources
- Google Search Central - Google does not use the keywords meta tag (2009)
- Google Search Central - spam policies (link schemes)
- Google - Universal Analytics sunset (2023)
- Google Search Central - AI features in Search
Frequently asked questions
Will AI kill SEO?
No. It changes what you learn and where you show up, not the need to work on visibility. AI Overviews and assistants pull answers from well-structured, credible content - the same thing SEO produces. AI Overviews explained →
Is it worth learning SEO in 2026?
Yes, more than ever, if you learn principles and not just tactics. Anyone who understands intent, technical base, entity and measurement is worth more in an AI world, not less. GEO guide →
What from 2009 do you still teach today?
Three things: understanding the searcher's intent, making sure the engine can read the site, and writing for people rather than the algorithm. Everything around them changed; they didn't. See technical SEO →