How SEO Is Changing with the Rise of AI Search

If SEO a few years ago was mainly about "ranking high on Google," SEO in 2026 has taken on an additional layer: your content needs not just to rank, but also to be usable as a trustworthy source within AI-generated answers.

AI Overviews, Google AI Mode, ChatGPT Search, and AI search tools in general are changing how users discover information, compare options, and reach a website. Google confirms that its AI features build on existing Search ranking and quality systems, and can run multiple related searches to generate a comprehensive answer with supporting links.

This doesn't mean classic SEO is disappearing. It means organic visibility is no longer confined to a single position within traditional search results.

From search results to AI-generated answers

In classic search, the user types a query, sees a list of results, and picks which page to visit.

In AI search, the process can look different. The user might ask a much more complex question and receive a concise answer that pulls together information from multiple sources, along with links for further exploration.

In Google AI Mode and AI Overviews, for example, the system uses a technique called query fan-out, among others: it can run multiple related searches simultaneously around different aspects of the original question, and then identify supporting pages from the Search index.

This creates more possible touchpoints where a website can show up. A page doesn't necessarily need to answer just one specific keyword — it needs to be a genuinely useful source on the topic the user actually cares about.

SEO is still the foundation

Despite all the discussion around terms like AEO, GEO, or AI SEO, Google itself is clear: core SEO practices still apply to generative AI search as well.

For a page to appear as a supporting link in AI Overviews or AI Mode, it first needs to be crawlable and indexable, and eligible to appear normally in Google Search. There's no special AI schema, separate markup, or "secret" optimization technique required.

So the foundations stay the same:

• proper technical structure
• crawlability and indexability
• clean information architecture
• useful, trustworthy content
• proper internal linking
• good user experience
• clear headings and organized content

The difference is that these elements now help not just a search engine rank a page. They also help AI systems better understand what it's about, what information it offers, and when it can serve as a useful source.

Content needs to offer something genuinely useful

The era of generic SEO content is getting even harder to sustain.

For generative AI search, Google recommends content that is helpful, reliable, people-first, and non-commodity — in other words, content that offers real value instead of simply repeating what's already available across dozens of other pages.

This means a good article doesn't just need to include the right keyword.

It needs:

• a clear answer to the user's actual question
• real knowledge and experience
• examples
• comparisons
• data, where it adds value
• a clear structure
• content that's easy to understand and use

Headings, paragraphs, lists, and proper organization aren't just an aesthetic choice. They help both people and search systems understand the structure of the information more quickly.

AI search isn't just Google

ChatGPT Search creates another environment where a website can be discovered and used as a source.

According to OpenAI, any public website can appear in ChatGPT Search results. For content to be used in summaries, snippets, and citations, a website must not block the OAI-SearchBot through robots.txt.

This is a clear example of how technical SEO is starting to extend beyond Google.

There's no need to build a second website "for AI." But it is worth checking whether your existing website is genuinely accessible to the systems through which you want it to be discovered.

Structured data: useful, but not an AI hack

Schema markup still has value when used correctly, because it helps search engines understand specific information about products, businesses, articles, and other content types.

It isn't, however, a special shortcut for appearing in AI results.

Google states that no special structured data or AI-specific markup is required for AI Overviews and AI Mode. Structured data should be used where it genuinely makes sense and should match the content users actually see on the page.

The right approach, then, is less about "how do we trick the AI" and more about "how do we make our content as clear, useful, and technically sound as possible."

How SEO is measured is changing too

For years, the conversation around SEO revolved mainly around rankings, impressions, clicks, and organic sessions.

These still matter, but AI search is creating a new kind of visibility that doesn't always lead directly to a click.

In June 2026, Google introduced new Generative AI performance reports in Search Console, with a dedicated view for how URLs appear in generative AI features like AI Overviews and AI Mode. The reports include data such as impressions, pages, countries, devices, and trends over time, and are initially rolling out gradually to a subset of websites.

On the ChatGPT side, OpenAI automatically adds utm_source=chatgpt.com to ChatGPT Search referral links, allowing businesses to track traffic coming from it through their analytics tools.

So now the question isn't just:

"How many clicks did we get?"

but also:

"Where does our brand show up when someone asks an AI for an answer?"

What this means in practice for a business

1. Don't abandon traditional SEO

Technical SEO, content quality, internal linking, and authority are still the foundation. AI search builds on these — it doesn't replace them.

2. Create content that answers real questions

Don't start from the keyword alone. Start from what the user actually wants to learn, compare, or decide.

3. Give people a reason to use your source

Original expertise, real examples, case studies, data, and clear opinions carry more weight than yet another generic article repeating what's already online.

4. Check technical access

Googlebot, indexability, robots.txt, and OAI-SearchBot should all be part of the technical audit when AI visibility matters for the project.

5. Measure more than rankings

Organic traffic and rankings still matter, but now AI impressions, referrals, and the brand's broader presence across different search experiences need to be tracked as well.

SEO isn't dying. It's evolving.

Search isn't being replaced by AI. It's taking on more forms.

A user might start with a classic Google search, continue through an AI Overview, use AI Mode to compare options, or ask ChatGPT Search to recommend the right sources.

In all of these cases, what matters for a brand stays the same: being discoverable, understandable, and trustworthy enough to be used as a source.

At DontMatter, we treat SEO as an evolving system that connects technical performance, content strategy, data, and real usefulness. Not to chase every new AI trend, but to build websites and content that stay visible as the way people search for information keeps changing.