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AI SEO

AI SEO is the use of artificial intelligence to help plan, create, optimize, and measure search content so it performs better in both traditional search results and AI-powered search experiences.

Beginner5 min readUpdated 2026-07-27Notes by Callum Bennett

What I’d do first

  • Start with a content audit: check structure, clarity, and authority signals.
  • Use AI for research and drafting, but always edit and fact-check manually.
  • Don't neglect traditional SEO basics — crawlability, speed, and helpful content still matter.
  • Add structured data to help AI systems understand and surface your content.
  • Monitor how your content appears in AI-generated summaries and adjust accordingly.

Think of it as SEO with a co-pilot — not a replacement for the pilot.

What I'd do first

  • Audit your current content for structure: clear headings, direct answers, and semantic coverage.
  • Use an AI tool to cluster your keywords by topic, not just volume.
  • Draft one piece of content with AI assistance, then edit it heavily for accuracy and voice.
  • Add structured data (schema) to help AI systems understand your page.
  • Monitor how your content appears in AI-generated summaries (e.g., Google SGE, ChatGPT).

Plain-English take

AI SEO means using smart software to do the grunt work of SEO faster — like finding the right keywords, writing drafts, checking if your page is technically sound, and seeing what's missing compared to competitors. But it's not a set-it-and-forget-it thing. The AI can suggest, but you still decide what's worth publishing and whether it actually helps someone.

When it actually matters

  • You're managing a large site and need to scale content production without burning out your team.
  • You're competing in a space where AI-generated summaries are already pulling answers from competitors.
  • You want to optimize for both traditional search results and AI-powered answer engines.
  • You need to quickly identify content gaps or technical issues across hundreds of pages.

What I got wrong

  • I thought AI SEO meant I could publish whatever the tool wrote. Big mistake — it needs heavy editing.
  • I ignored crawlability and site structure, assuming AI would just figure it out. It doesn't.
  • I over-optimized for exact-match keywords and forgot about semantic coverage and entity clarity.
  • I assumed AI tools could replace editorial review and fact-checking. They can't.

Next step

If you liked this

Sources

  • Google Search Central — Primary source for Google's guidance on helpful content, structured data, crawlability, and search best practices.
  • Search Engine Land — Well-known industry reference that defines AI SEO in the context of AI-powered search experiences.
  • Semrush Blog — Practical SEO reference for how AI is used in keyword research, content optimization, and workflow automation.

Notes from Callum Bennett.