How AI Is Changing SEO in 2026 (and What to Do Now)

What Has Changed in Search

Four shifts explain most of what people mean when they say AI is changing SEO.

1. Answers now appear on the results page

Google’s AI Overviews and AI Mode write a summary at the top of the page and link to the sources they used. According to Google’s own AI optimization guide, these features use two techniques. The first is grounding: the answer is built from pages already in Google’s index. The second is “query fan-out”: Google runs several related searches behind the scenes and pulls in results from those too.

AI Overviews are not limited to the US. In May 2025 Google said they were available in more than 200 countries and territories and more than 40 languages.

2. Fewer searches end with a click

This is the change business owners feel most. SparkToro’s 2026 study, based on Similarweb clickstream data, found that 68.01% of US Google searches between January and April 2026 ended without a click to any website. Rand Fishkin called it “the fastest acceleration of this phenomenon in the last decade.”

AI summaries are a big part of the reason. When Pew Research Center tracked the real browsing of 900 US adults in March 2025, people clicked a normal search result on 8% of visits to a results page that showed an AI summary, compared with 15% when there was no summary. Only 1% clicked a link inside the summary itself.

3. Ranking on page one no longer guarantees a citation

You might expect AI Overviews to simply quote the top ten results. That is becoming less true. An Ahrefs study of 863,000 keyword results pages found that in January 2026 only 38% of AI Overview citations came from pages ranking in the top ten for that search, down from 76% in July 2025. Ahrefs links the drop to query fan-out: Google is pulling sources from related searches, not just the one you typed.

For a business, this cuts both ways. A page that ranks well can still be left out of the answer. A page that ranks on page two for the main keyword, but answers a closely related question clearly, can still be cited.

4. People search in longer, conversational questions

People now type or speak full questions, often with several parts (“which SEO approach works for a school expanding from Australia into the UAE?”). AI tools break these into smaller searches and combine the results. Content that answers specific questions directly, with context, suits this far better than a page built around one short keyword repeated many times.

Will AI Replace SEO? Is SEO Still Worth It in 2026?

These are two of the questions people ask Google most about this topic, so here is a direct answer.

No, AI is not replacing SEO. Google says so plainly. Its AI optimization guide states: “From Google Search’s perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO.” AI Overviews and AI Mode are built on the same ranking and quality systems as normal search. A page has to be indexed and eligible to show a snippet before it can appear in an AI answer at all.

SEO is still worth it in 2026, but what you get from it is changing. For many informational searches you should expect fewer clicks than before, even when you are visible. The clicks that remain are more likely to come from people who want more depth than a summary gives. You also gain something that is harder to measure: being named as a source in answers your customers read, even when they don’t click.

What is no longer worth it is SEO as a volume game: publishing large amounts of generic content that repeats what every other site says. AI summaries can already give that answer, so there is little reason for Google or a reader to need your version.

Traditional SEO vs SEO in the AI Era

What Still Matters, More Than Before

First-hand experience is the thing AI can’t copy

Google’s guide makes this point with a useful example. It contrasts a generic article, “7 Tips for First-Time Homebuyers”, with a first-hand one, “Why We Waived the Inspection & Saved Money: A Look Inside the Sewer Line.” The first is commodity content an AI can write from what already exists. The second contains something only the author knows.

The same applies to business content. Your own results, processes, mistakes and opinions are what make a page worth citing. When I share the NAPS Australia SEO case study, the value is not the general advice about keyword research. It is the specific numbers and the specific constraints we worked under.

Technical access still decides who is eligible

AI features can only use pages Google can crawl, index and show as a snippet. Slow pages, blocked resources, broken internal links and missing canonical tags hurt you in AI search just as they did in classic search.

In Search Console there is now also a “Search generative AI” setting that controls whether your content can appear in these features. Google rolled it out to all websites on 31 August 2026. “Include” is the default, so most sites don’t need to change anything, but it is worth confirming nobody switched it off.

Structure helps both people and AI

Google’s guide is clear that you don’t need to chop your content into tiny pieces for AI. What does help is ordinary good writing: descriptive headings, a direct answer near the top of each section, and tables or lists where you are comparing things. A reader skimming on a phone benefits from exactly the same structure.

Authority still comes from other people

Links and mentions from relevant, trusted sites still count. For NAPS, a Wikipedia reference and education-focused links were a large part of the growth. Google specifically warns against chasing “inauthentic mentions” on forums and blogs to game AI answers. Earn mentions by being worth mentioning.

GEO, AEO and AI Search Optimization Explained

You’ll see three terms used for this work:

• GEO (generative engine optimization): making your content more likely to be used and cited in AI-generated answers.
• AEO (answer engine optimization): making your content the direct answer to a question, whether in a featured snippet, a voice assistant or an AI tool.
• AI search optimization: the umbrella term for both, and the name I use for my own SEO and AI search optimization service.

Google treats all three as part of SEO rather than a separate discipline. Its guide lists several things you don’t need to do for AI features:

• Create an llms.txt file or special AI markup
• Split content into small “chunks”
• Rewrite pages with special phrasing for AI
• Chase inauthentic mentions
• Over-invest in structured data just for AI features

Be cautious of anyone selling these as the secret to AI visibility.

How AI Search Differs Across Countries

This is the part most articles on this topic skip, and it matters if you sell outside one market.

AI features don’t appear the same way everywhere. When this exact search, “how AI is changing SEO”, was checked on 25 September 2026, Google showed an AI Overview for searches from Nepal but not for the same English search from the United States. The results underneath were also different.

In practice that means three things:

1. Check each market separately. Don’t assume your visibility in the US tells you anything about Australia, the UAE or the UK. Search from each country, or use a tool that sets location, and record which queries show AI answers.
2. Language and local sources matter. AI answers pull from pages that match the searcher’s language and region. A single global English page may be cited in one market and ignored in another where a local competitor answers more specifically.
3. Your international structure still decides eligibility. To check yours, use my free international SEO checklist. Hreflang, country-specific pages and local keyword research are the foundation. My guides to international SEO strategy and international keyword research cover how to set these up.

What Businesses Should Do Now: A Practical Checklist

You don’t need to rebuild your website. Most of the work is doing the fundamentals better and measuring differently.

This month

• Check that your key pages are indexed in Search Console and that the Search generative AI setting is on “Include”.
• List the ten questions customers ask you most. Check whether you have a page that answers each one clearly in the first few sentences of a section.
• Under each main heading, open with a short, plain answer before the detail.
• Put your own numbers, examples and case studies on the pages that matter most for sales.
• Run your most important pages through a free on-page SEO score checker to catch missing headings, meta tags and other basics that affect eligibility.

This quarter

• Rewrite or merge pages that only repeat generic advice. Add what you know that others don’t, or remove the page.
• Because of query fan-out, answer the follow-up questions around your main topics, not just the headline keyword.
• Earn mentions from industry directories, partner sites, podcasts and local media in each market you serve.
• Submit your sitemap in Bing Webmaster Tools. Microsoft’s Copilot draws on Bing, and Bing now reports AI citations directly.

How to Measure Your Visibility in AI Search

For the first time, both Google and Bing report on AI visibility directly, for free.

• Google Search Console: the Generative AI performance report, introduced in June 2026, shows how your content performs in Google’s generative AI features.
• Bing Webmaster Tools: the AI Performance report, launched in February 2026, shows how often your pages are cited in Copilot and Bing’s AI answers, and which pages are cited. It does not show clicks from those citations.
• Google Analytics 4: create a segment for referral traffic from AI tools such as chatgpt.com, perplexity.ai and copilot.microsoft.com, and track which pages they land on and whether those visitors convert. My analytics and conversion tracking work usually starts here.
• Manual prompt checks: once a month, ask ChatGPT, Gemini and Perplexity the questions your customers ask, and note whether you are mentioned.
• Branded search: if people see your name in AI answers, more of them search for you directly later. Watch branded queries in Search Console.

Here is what this looked like for NAPS, an Australian higher-education provider where I worked as the internal SEO strategist. Comparing the latest six months with the previous six:

Major technical and on-page changes were restricted during this period, so the growth came from keyword strategy, content that covered more of the questions students ask, and relevant, high-authority links. The work was classic SEO, and AI visibility grew alongside it.

A third-party check in Ahrefs’ AI responses report shows where those citations come from. As of September 2026 it found NAPS in 190 AI answers, drawing on 31 of its pages:

Two things stand out. First, Google’s own AI features account for 177 of the 190 answers, about 93%. For this site, AI visibility still mostly means Google. Second, the most-cited answer was not about a course. It was the question “why is AI bad”, answered by a NAPS blog post titled Why Is AI Bad? Artificial Intelligence’s Dark Side Explained. Its title matches the question people ask almost word for word. Here, a clear, question-led article earned more AI citations than any course page, which is a good reason to make sure articles like that link through to the pages that convert.

Using AI in Your SEO Work Without Hurting Quality

AI also changes how SEO work gets done. Used well, it saves hours. Used badly, it produces exactly the kind of content that search engines are learning to ignore.

Where AI helps:

• Research: grouping keywords, summarising what the top results cover and spotting gaps.
• First drafts and outlines: a starting structure a human then rewrites with real expertise.
• Refreshes: flagging outdated statistics and sections that need updating.
• Repetitive tasks such as meta descriptions, alt text drafts and reporting summaries, always checked by a person before use.

Where to be careful:

• AI tools can state wrong facts confidently. Check every statistic at its original source before you publish it.
• Google’s spam policies target content produced at scale mainly to rank, however it was made. More pages is not a strategy.
• If your article could have been written by anyone with the same tool, it gives AI answers no reason to cite you.

I use AI automation heavily in my own marketing. The personal brand content automation system I built researches, designs and publishes two posts a day across LinkedIn, Instagram and Facebook. But every post is checked against at least two named sources before it goes out, and the rules for design, facts and brand come from me. That is the balance I recommend: let AI handle volume and speed, and keep human judgement on what is true and what is worth saying.

Frequently Asked Questions

How is AI changing SEO?

AI is moving search from ranked links to AI-generated answers that cite sources. More searches end without a click, and success now includes being cited in those answers. The foundations of good SEO still decide who gets cited.

Will AI replace SEO?

No. Google says optimizing for its AI features is “still SEO”. AI Overviews and AI Mode use Google’s existing ranking and quality systems, so pages still need to be indexed, relevant and trusted to appear.

Is SEO still worth it in 2026?

Yes, especially for businesses with real expertise to show. Expect fewer clicks on simple informational searches, more value from being cited, and clicks from people who want more depth than a summary gives.

What is SEO for AI called?

You will see it called GEO (generative engine optimization), AEO (answer engine optimization) or AI search optimization. Google treats all of these as part of SEO.

Do I need an llms.txt file?

No. Google’s AI optimization guide says you don’t need llms.txt files or special AI markup to appear in its AI features.

How can I see if my site appears in AI answers?

Use the Generative AI performance report in Google Search Console, the AI Performance report in Bing Webmaster Tools, AI referral traffic in Google Analytics 4, and regular manual checks in ChatGPT, Gemini and Perplexity.

The Bottom Line

AI hasn’t made SEO less important, but it has made generic content far less useful. The businesses that do well in AI search are the ones that answer real questions clearly, show evidence nobody else has, keep their sites technically sound, and measure visibility in more than one place.

If you want to know how your business shows up in AI search today, in one market or several, I can help. Book a free 15-minute consultation and we’ll look at where you stand and what to fix first. You can also email me at info@jagritilakher.com.