AI-Powered SEO: What Every Business Needs to Know
A 2024 framework for using AI in SEO without triggering Google's crackdown on scaled, low-value AI content, built around the March 2024 core update.
What changed in 2024
Google rolled out AI Overviews to US search results in May 2024, expanding a feature it had been testing since 2023 under the name Search Generative Experience. At the same time, Google’s March 2024 core update explicitly targeted what the company called “scaled content abuse,” sites publishing large volumes of AI-generated content with little original value purely to rank. Together, these two moves sent a clear signal: AI could help a business produce content faster, but Google was actively penalizing sites that used AI to produce more content without producing better content.
The real decision a business faces
The question worth asking in 2024 isn’t “should we use AI for SEO,” most businesses already had some AI tool in their workflow by this point. The real question is where AI speeds up work a person would do anyway, drafting outlines, summarizing research, generating first-pass copy to edit, versus where it’s being used as a shortcut to skip the editorial judgment and specific expertise that earns rankings and, increasingly, a citation inside an AI Overview itself.
Questions worth working through
- Is a real person with genuine expertise reviewing and substantially editing anything AI drafts, or is it publishing close to as-is? Google’s own guidance throughout 2024 emphasized that the problem was never AI use itself, it was low-quality, unedited output at scale.
- Does your content answer a question more specifically and more usefully than what’s already ranking, or does it just restate the same generic points in different words? AI Overviews tend to pull from sources that are unusually clear, specific and well-structured, not sources that are merely comprehensive.
- Are you tracking rankings alone, or also whether your content gets cited or summarized inside AI Overviews for your target queries? By late 2024, being the source an AI Overview quotes had become its own kind of visibility, sometimes without the corresponding click a traditional ranking would have delivered.
- Can your team tell the difference between an AI tool that speeds up research and one that’s just generating filler paragraphs to hit a word count? That difference is exactly what Google’s 2024 policy update was built to detect.
Where AI helps
Used well, AI tools sped up the unglamorous parts of SEO work in 2024: generating first drafts of meta descriptions and headline variations to test, summarizing long research documents into working outlines and identifying content gaps by comparing your site against competitors’ coverage of a topic. None of that replaced the specific expertise or original reporting that earns rankings and trust, but it freed up time that could go toward the parts of content only a knowledgeable person could do well.
Where it backfires
Businesses that treated AI as a way to multiply output without multiplying expertise, publishing dozens of thin, AI-generated pages targeting slight keyword variations, were exactly the pattern Google’s March 2024 update was built to catch, and many saw sharp ranking drops as a result. The lesson of 2024 wasn’t that AI and SEO were incompatible, it was that scale without genuine value had become actively risky rather than just ineffective.
The bottom line for a business deciding now
If you already have real expertise and a real editorial process, AI tools can meaningfully speed up 2024’s SEO workflow without putting your rankings at risk. If your plan is to use AI to generate more pages faster without a person improving them, 2024 made clear that approach was more likely to get you penalized than to get you ranked.
Related reading: more AI marketing guides, the full 2024 archive or the Digital Business Marketing Awards.