AI SEO vs Traditional SEO

Two meanings, one confusion

"AI SEO" is used for two unrelated things, and most arguments about it mix them up:

1. • Using AI to do SEO work: research, briefs, drafting, internal linking suggestions, technical audits, reporting.
2. • Optimising for AI answers: being cited or shown in AI Overviews, AI Mode and other generative answers, sometimes sold as GEO or AEO.

The first is a change in how the work is produced. The second is a question about where visibility appears. Neither replaces traditional SEO, and Google says so directly: its documentation on AI features states that SEO best practices remain relevant for AI Overviews and AI Mode, and that there are no additional requirements or special optimisations needed to appear in them.

Criterion by criterion

Traditional SEO, AI-assisted SEO work and optimising for AI answers

Criterion	Traditional SEO	AI-assisted SEO work	Optimising for AI answers
Goal	Rank pages and earn clicks from search results	Same goal, produced faster or at larger scale	Be shown or cited in AI Overviews, AI Mode and other generative answers
Where visibility appears	Classic results, local pack, rich results	Same	AI features in Search, plus third-party AI assistants
Content standard	Helpful, people-first, demonstrates experience and expertise	Same standard; risk of falling below it rises with volume	Same standard, per Google; unique, non-commodity content matters most
Technical work	Crawlability, indexing, speed, structured data	Audits and fixes can be faster with AI assistance	Same technical basics; Google says no special AI files or markup are needed
Measurement	Search Console clicks, impressions, position; conversions	Same	Search Console generative AI performance report for AI feature impressions; brand and direct demand
Main risk	Slow production, thin pages	Scaled low-value content breaching Google's spam policies	Paying for tactics Google says are unnecessary; fewer clicks per impression
Cost profile	People time for research and writing	Lower production cost, higher review burden	Mostly the cost of genuinely better content

What Google has said about popular AI SEO tactics

In May 2026 Google published a guide to optimising for generative AI features in Search. According to Google's announcement and coverage of the guide, it addresses common "AEO" and "GEO" claims and says that llms.txt files, AI-specific markup, splitting content into chunks for AI, and rewriting content specifically for AI are not necessary for Google's generative AI features. It emphasises unique, valuable, non-commodity content and states that SEO best practices remain foundational.

That does not mean every AI SEO service is useless. It means the useful ones are doing SEO: improving content quality, coverage, technical health and measurement. Be cautious of any offer centred on a special file or format as the path into AI answers.

What has genuinely changed

Clicks per impression. Pew Research Center analysed the browsing of 900 US adults in March 2025 and found that users clicked a traditional result on 8% of visits to pages with an AI summary, against 15% without one; clicks on links inside the summary itself happened on 1% of visits. Google, for its part, says it still sends billions of clicks to the web daily and that clicks from AI experiences are of higher quality. Both can be true: fewer clicks for some queries, with the remaining visitors further along.

Measurement. Search Console now has generative AI performance reports showing impressions in AI Overviews and AI Mode by page, country, device and date; Google says they reached all sites on 31 August 2026. For the first time, you can see AI feature visibility in Google's own data rather than inferring it.

Production economics. AI makes it cheap to produce pages, which makes it cheap to produce bad pages. Google's spam policies name using generative AI tools to generate many pages without adding value for users as an example of scaled content abuse. The binding constraint on AI-assisted SEO is review quality, not drafting speed.

Content that summaries cannot carry. Google's guidance on succeeding in AI search emphasises unique, satisfying content and first-hand experience. Tools, calculators, original data, detailed worked examples and opinions backed by experience give a reason to click that a summary does not replace. The article on zero-click search strategy covers this in more depth.

Who each approach suits

Traditional SEO alone suits businesses with a modest content need, strong existing rankings and no appetite for new tools. It remains the foundation for everything else.

AI-assisted SEO work suits teams with more demand for content than capacity to produce it, provided they have someone who can review for accuracy and quality. It is a production decision, not a strategy.

Optimising for AI answers is not a separate discipline for Google Search on current guidance; it is SEO done well, measured with the new report. It suits everyone, and needs no special budget line beyond better content and measurement.

If you want this run for you, our AI SEO service uses AI for the production work and keeps the judgement, review and measurement with people.

FAQ

Do I need an llms.txt file for Google's AI Overviews?

According to Google's May 2026 guidance, as reported, no. Google says special AI files and markup are not needed for its generative AI features; standard SEO best practices apply.

Can I stop my content appearing in AI Overviews?

Google says AI Overviews and AI Mode follow Search's preview controls, such as nosnippet, data-nosnippet, max-snippet and noindex. Using them limits how your content appears in classic results too, so weigh the trade-off.

Will Google penalise AI-written content?

Google's guidance is that AI use is not itself a problem; content made primarily to manipulate rankings, or many pages produced without adding value, is. The standard is helpfulness, however the content was produced.

How do I know if AI Overviews are affecting my traffic?

Compare the generative AI performance report in Search Console with your classic performance report for the same pages. Rising AI impressions with falling clicks on informational pages suggests answers are being satisfied in the results.