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Advanced & Future SEO
Lesson 8 of 9 ยท The Future of SEO
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SEO in the Age of LLMs

๐Ÿ’ฌ
User asks ChatGPT instead of Google
"Find me the best SEO tool for a small business with pricing." ChatGPT answers. Didn't open a single website. SEO professionals call this "zero-click on steroids."
๐Ÿ“Œ LLM SEO (AEO โ€” Answer Engine Optimization) โ€” optimizing content to be cited in the responses of language models (ChatGPT, Perplexity, Claude, Gemini). A new direction alongside traditional SEO.

How LLM Search Differs from Google

ParameterGoogle SearchLLM (ChatGPT, Perplexity)
How it finds contentCrawling + indexingTraining data + RAG
What it citesAuthoritative pagesFrequently cited sources
Traffic to siteClick on resultRare (only Perplexity)
What matters mostTop positionBeing a "well-known" source

How to Optimize for LLMs

  • Direct answers: answer the question in the first paragraph, no preamble
  • Factual accuracy: numbers, dates, sources โ€” LLMs prefer specifics
  • Brand mentions: the more other sites mention you โ€” the higher the citation chance
  • Wikipedia and authority directories: getting cited there = entering training data
  • Structure: question headings (H2: "What is X?") + short answer under them
๐Ÿง‘โ€๐Ÿ’ป
Alex checks ChatGPT mentions
"Asked ChatGPT: 'What are the best SEO tools?' โ€” we're not in the answer. Checked: competitors are mentioned on 5000+ third-party pages, we're on 200. The task is clear: build mentions through PR and guest posts."
๐Ÿ”ฎ Forecast: SEO and AEO don't compete โ€” they complement each other. Strong E-E-A-T, authoritative content, and link mass work equally well in Google and in LLM responses.
๐ŸŽฎ Test yourself: what type of content do LLM systems most often cite?
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โ† AI Overviews & Generative Search
Lesson 8 of 9
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