Search habits are changing. Users no longer simply type a few keywords into Google and browse through links on a search results page. They now ask direct questions through ChatGPT, Gemini, and Google’s AI-powered search experiences, compare products, and receive brand recommendations.
This shift adds a new dimension to SEO: AI SEO.
AI SEO is the practice of making a website not only visible in traditional search engines, but also understandable, trustworthy, and suitable to be cited as a source in AI-generated answers.
You may also come across concepts such as GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization). However, there is an important distinction: Google does not say that AI-powered search requires an entirely different SEO system. Instead, existing SEO fundamentals such as technical SEO, high-quality content, and trustworthiness also remain relevant for AI Overviews and AI Mode.
So, how can your brand appear when someone asks ChatGPT or another AI system about your industry?
What Is AI SEO?
One of the main goals of traditional SEO is to increase the visibility of web pages in search engines such as Google for relevant search queries.
AI SEO adds another objective:
Making sure your brand, products, services, and content can be correctly understood by AI systems and considered as a source or recommendation for relevant queries.
For example, a traditional Google search might look like this:
“Best Shopify agency”
With AI search, however, a user may ask a much more detailed question:
“Can you recommend an agency in Türkiye that can build my Shopify store, provide custom development, and also support me with technical SEO?”
The second query is not simply about keyword matching.
The user is combining several requirements and directly asking for a recommendation.
This is where AI SEO becomes especially important.
Is SEO Dying?
No.
In fact, the rise of AI search makes the technical foundations of SEO even more important.
According to Google’s documentation, for a page to appear as a supporting link in AI Overviews and AI Mode, it must be indexable by Google Search and eligible to appear in search results. Google also states that no special schema or new technical file is required specifically for its AI features.
Therefore:
SEO → GEO → AI Visibility
should not be treated as completely separate disciplines.
A better approach is to view AI visibility as a new layer built on top of a strong SEO foundation.
What Is GEO?
GEO (Generative Engine Optimization) refers to optimization practices aimed at increasing the visibility of brands and content within generative AI systems.
The goal is not simply to improve a page’s ranking.
It is about making it as clear as possible:
- what the brand does,
- which services it provides,
- what areas it specializes in,
- which products it sells,
- and why it is trustworthy.
This area is becoming particularly important in e-commerce. According to the source article’s cited Shopify 2026 data, referral sessions from AI chatbots increased more than eightfold year over year, while AI-attributed orders increased approximately thirteenfold.
This shows that AI visibility is no longer only about brand awareness.
AI Search is also becoming a new traffic and sales channel.
How Does ChatGPT Find Websites?
There is an important misconception worth clearing up.
You do not need to add a hidden “ChatGPT SEO code” to your website in order to appear in ChatGPT.
According to the OpenAI documentation referenced in the original article, publicly accessible websites can appear in ChatGPT Search results. For content to be discoverable and potentially used as a source, OAI-SearchBot must not be blocked.
This means robots.txt, CDN configurations, firewalls, and bot protection systems should no longer be evaluated only in terms of Googlebot.
For example, if Cloudflare or another security layer is configured incorrectly, legitimate AI crawlers may also be blocked.
However, crawlability alone does not guarantee visibility.
The source article also notes that ChatGPT Search ranking depends on multiple relevance and trust factors and that a specific position cannot be guaranteed.
Why Is It Important for AI Systems to Understand Your Brand?
Imagine a brand website containing only statements such as:
We shape the future with innovative solutions.
It may sound appealing from a marketing perspective, but it does not clearly explain what the company actually does.
Instead, a statement such as:
We provide Shopify and WordPress development, technical SEO, e-commerce infrastructure, and custom web software solutions.
makes it much easier for both users and search systems to understand the company’s area of expertise.
One of the core principles of content creation in the AI era should therefore be:
Be clear first. Be creative second.
1. Define Your Brand Clearly
Your website should contain consistent information about your brand.
Your homepage, About page, service pages, and other corporate content should not describe your business in completely different ways.
For example, if you are a digital agency, saying only “we provide digital solutions” is less useful than clearly explaining the specific services you offer.
If you provide WordPress development, Shopify consulting, custom software, technical SEO, or performance optimization, these services should have clear and understandable places within your website architecture.
2. Create Content Based on Real Expertise
Publishing hundreds of superficial blog posts is not a strong content strategy in the AI era.
The original article notes that Google’s 2026 AI Search guidance emphasizes the importance of original, valuable, expertise-driven content.
One of the biggest opportunities lies in a company’s own experience.
Instead of another generic article such as:
“What is Shopify?”
you could create something based on real experience, such as:
“How did we plan the collection structure of a Shopify store with 500+ products?”
Real projects, challenges, implemented solutions, and outcomes demonstrate a brand’s expertise much more effectively.
3. Give Clear Answers to Real Questions
Queries in AI search are becoming increasingly conversational.
That makes answering real user questions within your content more important.
For example:
Shopify or WooCommerce?
Why is my WordPress website slow?
When does a Shopify store need a custom app?
How does a website migration affect SEO?
Which platform is best for an e-commerce website?
Each of these questions can become a standalone article or a section within a larger piece of content.
The goal is not to create mechanical question-and-answer content solely for AI systems.
Write for people first, but don’t hide the answer unnecessarily.
4. Technical SEO Is Still a Core Foundation
No matter how good your content is, visibility can suffer if search systems cannot properly access your pages.
Traditional technical SEO checks therefore remain essential in AI SEO:
site architecture, indexation status, robots.txt, canonical structure, sitemaps, internal linking, mobile usability, page performance, and correct HTTP status codes should not be overlooked.
In other words, AI SEO does not replace technical SEO.
It adds a new discovery layer on top of it.
5. Use Schema and Structured Data
Schema markup can help search engines better understand what the content on a page represents.
Organization, Article, Product, Breadcrumb, and other appropriate structured data types remain important elements of traditional SEO.
However, there is another myth worth correcting:
There is no special schema type for AI Search.
As described in the source article, Google does not require special Schema.org markup for appearing in AI Overviews or AI Mode. When structured data is used, it should accurately reflect the content visible to users.
Use Schema, but do not treat it as a secret method for appearing in ChatGPT.
6. Brand Authority Cannot Be Built Only on Your Own Website
What a brand says about itself certainly matters.
But digital authority extends beyond the company’s own website.
Press coverage, industry publications, genuine customer reviews, references, organic community discussions, and consistent mentions across trustworthy sources can all contribute to a broader digital footprint.
The goal should not be to manufacture fake mentions or artificial backlinks.
Instead, brands should build genuine authority and a consistent presence across the digital ecosystem.
7. Strengthen Product Data on E-Commerce Websites
AI SEO is creating a particularly significant shift in e-commerce.
A product page containing only a product name, price, and a few images may no longer be sufficient as a content strategy.
Information such as:
product features, materials, use cases, dimensions, variants, stock availability, descriptions, and other important attributes should be as accurate and consistent as possible.
Users are no longer searching only for:
“Desk lamp”
They may ask:
“Recommend a minimalist desk lamp with a metal body that would suit a modern workspace.”
The clearer and more accurate your product data is, the stronger its potential to be associated with detailed queries like these.
8. How Can WordPress and Shopify Websites Prepare for AI SEO?
Regardless of the platform, the fundamental principle remains the same:
Clean technical infrastructure + quality content + clear brand positioning + accessible data + trustworthiness.
For WordPress, technical SEO, site performance, content architecture, Schema, and category structure are important.
For Shopify, these factors are joined by another major consideration: the quality of product and collection data.
Product titles, descriptions, collection structures, product attributes, and structured data are becoming increasingly important not only for traditional SEO but also for AI-powered product discovery.
9. Is Adding llms.txt Mandatory?
One of the most discussed topics in AI SEO recently is the llms.txt file.
Some tools present it almost as if it were a mandatory SEO factor.
At least from Google’s perspective, that is not the case.
According to the source article, Google states that files such as llms.txt do not improve AI visibility or rankings in Google Search and are not taken into account by Google Search.
Other services may potentially use these files. However, simply adding llms.txt does not mean you have implemented AI SEO.
A better priority is:
Technical SEO → Content → Brand Authority → Data Quality
10. Can We Measure AI Visibility?
Measurement is becoming one of the most important developments in this field.
The original article states that Google introduced performance reporting specifically for generative AI visibility in Search Console in 2026 and made these insights available globally as of August 31, 2026.
Referral traffic from ChatGPT can also be measured.
According to the source article, links directing users from ChatGPT Search use the utm_source=chatgpt.com parameter, allowing ChatGPT-originated visits to be tracked in analytics systems.
This means future SEO reporting will increasingly include not only Google organic clicks, but also AI-driven visibility and traffic.
Where Should You Start With AI SEO?
You do not need to build a new website or rewrite all of your existing content.
Start by auditing your current digital presence.
Can Google and AI crawlers access your website? Are your services clearly explained? Are your important pages indexed? Does your content demonstrate genuine expertise? Is your product data comprehensive? Is information about your brand consistent across the web?
The answers to these questions provide a strong starting point.
Because the goal of AI SEO is not to trick artificial intelligence.
It is to make your brand more understandable and trustworthy for people, search engines, and AI systems.
AI SEO Is Not the End of SEO — It Is a New Era
Google Search is not disappearing.
SEO is not disappearing either.
But the way people discover information and products online is changing.
One user may find your brand through Google, another may ask ChatGPT for a recommendation, while someone else may compare several products through Google AI Mode.
For brands, the new objective therefore should not only be:
“What position do we rank in on Google?”
The new question is:
“When people ask AI about our industry, is our brand recognized as one of the trustworthy sources within the digital ecosystem?”
This is likely to become one of the most important questions shaping SEO strategies in the years ahead.
AI SEO and Digital Visibility at Reactio
At Reactio, we do not approach SEO solely through keywords and rankings.
We consider technical infrastructure, web performance, content architecture, e-commerce data, user experience, and brand visibility as parts of a connected system.
As AI-powered search experiences continue to grow, this approach becomes even more important.
Whether your website runs on WordPress or Shopify, our goal is not simply to build a digital presence that performs well on Google today, but to create a digital infrastructure ready for evolving search and discovery experiences.
Digital Products. Real Growth.
