The problem with AI and keywords

Ask an AI tool to write about “how to edit AI content for SEO” and it will use the phrase “AI content for SEO” roughly every paragraph — in the intro, in every heading, in the conclusion twice. It does this because it learned the phrase is important, and its entire strategy for “important” is repetition.

Human writers don’t do this. When you actually know a subject, your vocabulary fans out: you say “search optimization” one paragraph, “ranking” the next, “what Google wants” in another. You name tools, mention updates, reference concepts. That variety is what tells a reader — and a search engine — that you have depth.

The AI’s problem is the opposite of what people fear. People worry AI drafts are too generic; the real SEO problem is that they’re too repetitive. Repetition is the cheapest possible signal of relevance, and it’s the one Google trusts least.

What actually signals “this is relevant”

Think about how you’d judge a page about, say, sourdough baking. You wouldn’t count how many times it says “sourdough.” You’d notice whether it mentions hydration percentages, starter feeding schedules, Dutch ovens, crumb structure. The vocabulary around the topic — not the keyword itself — is what proves expertise.

Google works the same way, only more so. The things that correlate with ranking for a topic now:

• Related entities, named plainly. Brands, tools, people, concepts. An article about editing AI content for SEO should naturally mention search intent, title tags, internal links, Search Console. If none of those appear, no amount of keyword repetition will save it.
• Answered sub-questions. Real articles answer the follow-up questions a reader has. If your section on headings never mentions how long a title should be, the article is shallow regardless of keyword count.
• Specificity. Numbers, examples, edge cases. “I cut the keyword from 19 mentions to 5 and rankings held” beats a paragraph about keyword density every time.

Notice what’s not on the list: saying the keyword a target number of times.

My edit pass: the search-and-count test

Here’s the actual routine. It takes ten minutes.

1. Pick your primary phrase and count it. Ctrl+F. If it appears more than about once per 150–200 words, you’ve got stuffing. My rule: if I can feel the phrase while reading — if it starts to sound like a jingle — it’s overdone.

2. Check your headings. This is where AI stuffing concentrates. A draft whose H2s all start with the keyword (“AI Content for SEO: Introduction,” “AI Content for SEO: Best Practices,” “AI Content for SEO: Conclusion”) needs surgery. Rewrite each heading as a promise to the reader, not a label for the crawler. “Best practices” works just as well when it’s called “What to do instead.”

3. Replace repeats with the vocabulary of the topic. Every time you delete a keyword instance, put something real in its place: a synonym, a related concept, a specific example. “AI content for SEO” becomes “the draft,” “your page,” “search content,” “the article” — and then “search intent,” “ranking,” “organic traffic.” This is the single highest-leverage SEO edit there is.

4. Read the first 100 words out loud. Google weighs early content more, which tempts people to cram. The test: does the opening read like it was written for a person? One natural keyword mention in the intro is plenty. If you need more, your intro is answering the wrong question.

Where keywords genuinely belong

None of this means keywords don’t matter. They do — in a handful of specific places:

• The title. Say what the page is about, plainly, once.
• The URL slug. Keep it short and readable.
• One H2, if it fits naturally — not all of them.
• The first paragraph, once, in a sentence a human would say.
• Image alt text, describing the actual image (not stuffing).

That’s it. Everything else is context and craft. When I’m done with an edit pass, the keyword appears in the title, the slug, the intro, maybe two headings — and then it vanishes into the vocabulary of someone who knows the topic. Pages like that outrank the soup. Every time.

The reader test

Here’s the final check, and it’s the one that matters most: hand the article to someone who doesn’t know SEO and watch their face.

Nobody has ever said “this article is great, but I wish it said ‘email marketing software’ more times.” Readers notice expertise, clarity, and whether their question got answered. Google’s entire direction for the last decade has been getting better at measuring those things — the things readers notice — rather than counting words.

So the SEO edit isn’t really about keywords at all. It’s about making the draft sound like it was written by someone who knows the subject well enough to talk about it in different words. AI gives you the average of the topic. Your edit adds the depth. Depth ranks; repetition doesn’t.

The honest truth

Keyword stuffing is dead, but its ghost haunts every AI draft — because repetition is how these tools fake confidence. The fix isn’t an SEO plugin or a density target. It’s an editor who deletes the tenth keyword mention and replaces it with something real.

That’s the whole job: fewer keywords, more knowledge. Say the thing once, then prove you know it. Google figured this out years ago. It’s time our drafts caught up.