How to Use AI for SEO: A Practical Guide

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AI tools save the most time in SEO on research, planning and repetitive tasks: grouping keywords, drafting content outlines, suggesting meta tags, writing structured data code or summarising large data sets. Google doesn't treat content being AI-generated as a problem in itself; what it assesses is whether the content is genuinely helpful to users. The problem is producing large numbers of low-value pages with AI and no oversight.

In this article we explain which SEO tasks you can use AI for and how, where you need to be careful, and Google's stance on the subject. We cover visibility in AI-powered search engines separately in our guide to GEO.

How does Google view AI-generated content?

In a statement published in February 2023, Google said it rewards high-quality content however it is produced. The measure is whether content demonstrates experience, expertise, authoritativeness and trustworthiness (E-E-A-T) and genuinely answers the user's question.

In March 2024, "scaled content abuse" was added to Google's spam policies. The policy targets producing large numbers of pages that add no value for users in order to manipulate search rankings, whether the content is produced by AI, by people or by a mix of both.

In short: using AI as a tool is fine; turning it into a content factory is a risk. We discuss this in more detail in our article on AI content and algorithms.

8 SEO tasks you can use AI for

1. Keyword clustering

Grouping hundreds of keywords from research tools by search intent takes hours by hand. AI can split the list into topic clusters and produce a first draft of which keywords should be targeted on the same page and which need separate pages. For search volume and competition data, you still need an SEO tool; AI doesn't know these figures, it estimates them.

2. Content briefs and outline structure

AI is a good starting point for working out a piece's heading structure, the questions it needs to answer and the subtopics it should cover. Refining the outline by comparing competing pages with your own expertise is your job.

3. Meta title and description suggestions

In stores with many category or product pages, writing meta tags one by one is hard. AI can produce alternatives that fit character limits and reflect the page's content. Each suggestion needs to be checked against the page's actual content before approval.

4. Structured data (schema) code

Writing and debugging structured data code for products, FAQs, organisations or articles is something AI does well. Always validate the generated code with Google's Rich Results Test. We explain how structured data works in our guide to schema markup.

5. Summarising technical SEO data

With large data sets such as crawl reports, Search Console exports or server logs, AI can quickly summarise patterns: which page types errors cluster on, which pages are losing traffic. Writing regex filters and spreadsheet formulas also saves time here.

6. Updating old content

You can use AI to compare an existing article with current information and find missing topics, outdated statistics or unanswered questions. The current information itself needs to be verified from primary sources, not from the AI's memory.

7. Internal linking opportunities

Give AI a list of your site's articles and the text of a new article, and it can suggest which articles to link to in which contexts. It's a practical way to catch forgotten internal linking opportunities on large blogs.

8. Translation and localisation drafts

On sites that publish in more than one language, AI translation provides a good first draft. Still, a local eye is needed to make sure terms, units and cultural expressions suit the target market.

Where should you be careful?

  • Made-up information. AI can produce fluent, convincing answers even on topics it isn't sure about. Always verify figures, dates, prices and quotes at the source.

  • Outdated information. Models' knowledge stops at a certain date. For fast-changing topics such as platform updates, prices and policies, check current sources.

  • The same content as everyone else. The answer AI gives to a question is very similar to the one your competitors get. Without your own experience, data and examples, your content won't stand out.

  • Stock phrases and repetition. Unedited AI text is full of similar sentence structures and filler. That tires out both readers and search engines.

  • Personal and confidential data. Before uploading customer data or confidential business information to AI tools, check the tool's data use terms.

A process for adding AI to your SEO workflow

  1. Define the task first. Decide at which step you'll use AI: research, drafting, editing or analysis.

  2. Give context. State the target audience, the page's purpose, your brand voice and the format you want. The clearer the context, the more usable the output.

  3. Add your own data. Information only you have, such as Search Console data, customer questions or notes from your sales team, is what makes content different.

  4. Put it through human editing. An expert should check every output for accuracy, tone and originality.

  5. Measure the results. Compare the ranking, click and conversion performance of AI-assisted content with your other content.

Frequently asked questions

Can AI-written content rank on Google?

It can. Google looks at whether content is helpful and trustworthy, not how it was produced. But content published without editing and lacking original information usually doesn't perform well.

Does Google penalise AI content?

Using AI isn't a reason for a penalty in itself. But producing large numbers of pages that add no value for users in order to manipulate rankings falls under Google's scaled content abuse policy.

Will AI replace SEO specialists?

AI speeds up repetitive work, but strategy, prioritisation, diagnosing technical problems and interpreting results still take experience. What changes is where the specialist spends their time.

Let's plan your SEO work together

Combined with the right process, AI tools speed up SEO work; used badly, they can fill a site with low-quality content. If you'd like to review your site's SEO and GEO strategy together, get in touch through our SEO and GEO consulting page.

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