As AI answer engines grow, what SEO tips should marketers follow to stay relevant with LLMs?
As LLMs (AI answer engines) become the new “search layer,” SEO is shifting from ranking pages to being the best answer. A few practical tips marketers should follow:
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Write for humans first, clarity always – simple, direct answers get picked up more often.
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Topical authority beats keyword stuffing – cover subjects deeply, not just individual keywords.
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Strong EEAT signals – real expertise, author credibility, and trustworthy sources matter more than ever.
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Structure content well – clear headings, FAQs, summaries, and schema help AI understand your content.
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Be quotable – concise insights and unique viewpoints increase chances of being cited by AI tools.
SEO for LLMs is less about gaming algorithms and more about being genuinely useful.
Doing SEO for LLMs (like ChatGPT, Gemini, Perplexity) is a bit different from traditional Google SEO, but it still builds on the same basics with a shift toward clarity, trust, and usefulness.
One important thing is writing content in a way that’s easy for models to understand and quote. Clear headings, simple explanations, and direct answers help a lot. Instead of hiding key points deep in paragraphs, it’s better to structure content with short sections and question-style subheadings.
Another big factor is authority and consistency. LLMs tend to rely more on sources that look reliable sites with strong topical coverage, consistent publishing, and clear expertise. So covering a topic deeply (not just one article) improves the chance of being referenced.
It also helps to focus on factual, evergreen content rather than clickbait. LLMs prefer stable information: definitions, how-to guides, comparisons, and explanations. Adding things like FAQs, examples, and summaries makes your content more usable for both humans and AI systems.
So SEO for LLMs is really about:
structured content + clear answers + topical authority + trust signals.
It’s less about keywords and more about being the page that explains something well enough that an AI would confidently reuse it.