Summary
The rules are being rewritten in the world of digital marketing. Rather than getting lost among lists of links in search engines, users now ask artificial intelligence tools such as ChatGPT directly for "answers" and "recommendations". This article explains step by step how to carry your brand out of the classic SEO (search engine optimisation) world and into the new-generation GEO (generative engine optimisation) world, and how to get artificial intelligence to recognise your business. At the end of the piece you will find an "action checklist" you can apply straight away.
1) What Is GEO (Generative Engine Optimisation)?
GEO (generative engine optimisation) is the whole of the technical and content work carried out so that your brand, your content and your digital data are understood correctly, found trustworthy and presented to users as an answer by "generative artificial intelligence" engines such as ChatGPT, Gemini, Claude and Bing Chat.
In this new age of digital marketing, the core difference is between "searching" and "asking".
The Core Differences Between SEO and GEO
| Feature | SEO (search engine optimisation) | GEO (generative engine optimisation) |
|---|---|---|
| Core aim | Bringing traffic (clicks) to the website. | Being the direct answer or recommendation to the user. |
| Target mechanism | Search engine bots (Google, Bing spiders). | Large language models (ChatGPT, Gemini, Claude). |
| Success measure | Being on the first page / in first place in the search results (SERP). | Being named by name (as a brand) in the answer the AI produces. |
| Content strategy | Focused on keywords and backlinks. | Focused on context, authority and coherence of meaning. |
| User experience | The user scans links one by one and decides for themselves. | The user reads the information the AI has analysed and summarised. |
| Competitive field | A ranking war among 10 blue links. | A war to be one of the 2–3 options recommended as "the best". |
Understanding the difference between classic SEO and GEO is the first step in building your strategy correctly:
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The difference in aim:
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SEO (search engine optimisation): aims to get Google to like you and put your link in first place on the results page (SERP). The aim is to get clicks and bring traffic to the site.
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GEO (generative engine optimisation): aims to get the AI to recognise you as an "authority" and to name your brand inside the single answer it gives to the user's question. The aim is to be "the recommended one".
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Working principle:
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SEO: focuses on keywords, site speed and backlink counts.
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GEO: focuses on context, coherence of meaning, where the brand name appears (brand mentions) and sentiment analysis.
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In short, GEO is the art of getting the AI to answer users' question "which is the best digital marketing agency" by giving your name.
2) How Artificial Intelligence Works: Training Data and Live Browsing
If you want to introduce your brand to artificial intelligence you first have to understand how it consumes information. ChatGPT and similar large language models (LLMs) do not take information from a single pool. They work by combining two different mechanisms: "long-term memory" and "real-time research capability".
You need to build your strategy separately for these two channels:
A. Training Data (Static Information / Long-Term Memory)
As artificial intelligence models are developed they are fed with billions of web pages, books, articles and academic publications. That process is called "training".
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How does it work? The model reads all that data on the internet and learns the relationships between words. Nike or Adidas coming to mind when "trainers" is said, for example, stems from those words frequently appearing side by side in the training data.
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Why it matters for your brand: if your brand has a long history and there is a lot of content about it online (from before 2021–2023), the AI already knows you. But if you are a new brand you cannot rely on training data alone, because the model's memory is frozen at a particular date (the cut-off date).
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GEO strategy: your brand name appearing in "lasting" and "authoritative" sources relating to your sector (Wikipedia, large news portals, sector journals) gets you etched into the model's core memory.
B. Live Browsing (Current Information)
When a user asks a current question (for example: "the pharmacies on duty in Istanbul today" or "brand X's 2024 prices") the AI's static memory falls short. That is where the "browsing" feature comes in.
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How does it work? For current data ChatGPT generally connects to the internet at that moment using the Bing search engine infrastructure. It visits your site live, reads the relevant information, summarises it and presents it to the user.
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Why it matters for your brand: this is where the opportunity is greatest. If your website is technically crawlable, your information is current and you are indexed in Bing, the AI can find you at that moment and recommend you to the user.
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GEO strategy: your website's speed, mobile compatibility and content being readable by bots (technical SEO) are vitally important.
In Short: Which Pool Should You Play For?
Successful GEO work should be hybrid:
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For brand awareness: earn a place in the "training data" by being talked about widely across the internet. (A long-term investment)
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For catching customers: get caught in "live browsing" by optimising your website and your Bing map listings. (A short-term, immediate return)
3) The 3 Golden Rules of Being Visible in ChatGPT and Gemini
Artificial intelligence models do not choose brands at random as they scan billions of data points. For systems such as ChatGPT (OpenAI) or Gemini (Google) to find a brand "recommendable", that brand needs to have built a certain "trust score" in the digital world.
The algorithm determining that trust score rests fundamentally on these 3 golden rules:
1. Authority: "Who Is Talking About You"
In the old SEO world "backlinks" mattered. In the GEO world, "brand mentions" are king.
When verifying information, artificial intelligence models give priority to "trusted data sources" (trusted corpora). If your brand's name appears in:
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Wikipedia,
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sector news sites (Webrazzi, Bloomberg and so on),
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academic papers or long-established forums (Reddit and the like),
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official institution sites
then the AI encodes you as a "real and important entity".
The essence of the rule: you can say "I am the best" on your own site, but the AI treats that with suspicion. When a trustworthy third-party source says "this firm is the sector leader", though, the AI records that as information.
2. Consistency: "Does Your Data Line Up With Itself"
Artificial intelligence models' greatest fear is hallucinating (making up false information). To reduce that risk they cross-check the data online.
If your closing time appears as 18:00 on your website, 19:00 on Instagram and 17:00 on Google Maps, Gemini and ChatGPT notice that contradiction. Rather than give false information, they may prefer not to recommend you at all.
The essence of the rule: all the information in your digital footprint (address, phone, services, pricing policy) being exactly the same on every platform increases the AI's trust in you.
3. Context: "Which Words Sit Beside Your Name"
Artificial intelligence thinks not with words but with "relationships of meaning" (semantics). Your brand simply existing by name is not enough; which adjectives and concepts it is associated with matters.
If you have a restaurant, for example, does your brand appear in content online only as "Restaurant X"? Or does it appear in the same sentences as the words "Istanbul's best vegan pizza", "a quiet place for a romantic dinner", "a business offering fast service"?
When a user says "recommend me a quiet place", the AI brings forward the brand in its database that matches the word "quiet" most closely (that has the closest vector proximity).
The essence of the rule: get your brand mentioned not only by your name but alongside the problems you solve ("fast shipping", "stain removal specialist", "reasonably priced", for example).
4) Steps to Apply: Introduce Your Brand to Artificial Intelligence
Your brand reaching "recommended" status on platforms such as ChatGPT and Gemini does not happen by chance. It requires strategic planning that speaks the algorithms' language. Here are 4 core steps to apply that will make your brand AI-friendly:
A. Content Strategy: Moving From Keywords to a "Question and Answer" Model
For years we wrote keyword-focused articles for Google. But artificial intelligence is conversational. People ask it questions not like a robot but like a friend.
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What should you do? Turn the blog posts and service pages on your website into a "question and answer" format.
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Example:
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Old style: "Istanbul boiler service prices" (a pile of keywords)
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GEO style: heading: "What does it cost to call out a boiler engineer in Istanbul" -> content: "As of 2024 service charges are between X and Y. Maintenance and radiator cleaning are/are not included in that price."
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Why? When ChatGPT encounters a question it is more inclined to pull in and present to the user the text that holds the "direct answer" to that question online.
B. Digital PR: Chase Not Links but "Brand Mentions"
In classic SEO the "clickable link" (backlink) was everything. In GEO, your brand's name simply being mentioned is powerful enough.
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What should you do? Get your brand named on authoritative sites relating to your sector, on news portals or in podcast descriptions.
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Tactic: publish data or a report relating to your sector so news sites cite you as the source. The AI marks the brand producing the data as an "authority".
C. Managing Sentiment Analysis: Stars Are Not Enough, Words Matter
When ChatGPT or Gemini looks for an answer to "the best Italian restaurant" it does not only look at five-star ratings; it reads the content of the reviews. That is called "sentiment analysis".
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What should you do? Encourage your customers to write detailed reviews.
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A weak review: "It was lovely." (Meaningless to the AI)
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A strong review: "The vegan options were delicious and the waiters were very knowledgeable about allergens."
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The result: when a user asks for a "restaurant that is safe for people with allergies", the AI will remember that review and recommend you.
D. Technical Language: Schema Markup (Structured Data)
In the background of your website (in the code) there is a special markup language that speaks to bots. It is called schema markup.
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What should you do? Add "Organization", "Product" and "FAQ" schemas to your site.
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The benefit: this code tells the AI clearly: "the 500 TL figure on this page is price information, this is the phone number, and this is the stock status." That clarity reduces the risk of the AI presenting you incorrectly (hallucinating) to zero.
5) The Secret Weapon: Bing and the Microsoft Ecosystem
For years digital marketing had a single rule: "If you are not on Google, you do not exist." But with the artificial intelligence revolution the cards have been dealt again. If you want your brand to be found "live" by AI tools such as ChatGPT, you can no longer ignore the Bing search engine.
Why?
ChatGPT's Eye: Bing
Thanks to the enormous partnership between OpenAI (ChatGPT's creator) and Microsoft, ChatGPT's door onto the internet is the Bing search engine.
When a user says to ChatGPT "list the 4K televisions currently on sale" or asks "are there any recent complaints about company X", the AI pulls that current information not from Google but from the Bing index.
Google Business Profile Is Not Enough — "Bing Places" Is Essential
Your business looking perfect on Google Maps is great, but ChatGPT may not be looking there.
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The opportunity: because Bing's market share is low, competition there is low too. A small optimisation here makes a big difference to AI visibility.
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The quick fix: Microsoft offers an excellent feature to make this move easier. You can open a "Bing Places for Business" account and transfer all the data in your Google Business Profile (photographs, hours, address) to Bing with a single tap (sync).
Using Bing Webmaster Tools
Your website being indexed (recorded) in Google does not mean it is in Bing too. Register your site with Bing Webmaster Tools and make sure ChatGPT has no trouble crawling your site.
Remember: while Google addresses people, Bing currently provides data both to people and to the world's smartest robots (AI). You should build your strategy around these two fronts.
6) Prepare Today for Tomorrow's Competition
The digital marketing ocean is stirring once again. The websites we optimised only for "search engines" yesterday now have to be optimised for "answer engines" — that is, for artificial intelligence.
That change may look frightening, but for brands that move early it is an unmatched opportunity. While your competitors are still focusing only on keywords, you can turn your brand into an authority the AI trusts. Remember, in the future your customers will not "Google it" and spend hours looking through links; they will tell their personal AI assistants "find me the best". That "best" should be you.
Why DijitalPi?
Moving without a compass in this new, complex world can lead to a loss of time and budget. Cracking the language of artificial intelligence algorithms requires dedicated expertise combining technical SEO with semantic coherence.
That is where DijitalPi comes in.
A pioneer in GEO (generative engine optimisation) and AI-supported marketing strategy in Türkiye, DijitalPi prepares your brand not only for today's digital world but for tomorrow's. To give your business's digital footprint a structure that systems such as ChatGPT and Gemini "will understand and like", DijitalPi is the right address. With us, be the brand the algorithms recommend.
The DijitalPi GEO Success Checklist
Get your brand ready for artificial intelligence
1. Core Presence & Authority
- Bing Places listing: the business has been added to / updated on Bing Maps.
- Consistency (NAP): name, address and phone are 100% the same on every platform.
- Corporate about page: the "about us" text has been revised with factual, clear data.
2. Content & Semantic Structure
- Question and answer conversion: content has been adapted to "conversational language" and the FAQ format.
- Sentiment analysis: the last 10 customer reviews have received detailed replies containing keywords.
3. Technical Infrastructure
- Schema markup: Organization, Product and FAQ schemas have been added to the code structure.
- Site speed: mobile load speed has been optimised (critical for live browsing).
Do you need help? Get in touch with DijitalPi
Get in Touch With Us
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Istanbul
Sources Used
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Stanford University – AI Index Report
https://aiindex.stanford.edu/
(The most comprehensive academic source on LLMs' development, data usage and how artificial intelligence models work.) -
arXiv – "Generative Engine Optimization (GEO) for LLM-Based Search"
https://arxiv.org/abs/2309.11761
(The pioneering study that brought the GEO concept into the scientific literature.) -
OpenAI – "ChatGPT Browsing: How Live Data Retrieval Works"
https://openai.com/blog/chatgpt-can-now-browse
(Explains ChatGPT's architecture for pulling live data through Bing.) -
Google – Structured Data & Knowledge Graph Documentation
https://developers.google.com/search/docs/appearance/structured-data
(The core technical documentation for schema markup, technical SEO, data consistency and structured information transfer.) -
Microsoft & OpenAI Partnership – Official Announcement
https://blogs.microsoft.com/blog/2023/01/23/microsoft-and-openai-extend-partnership/
(Explains at a technical and corporate level why ChatGPT is integrated with the Bing ecosystem.)
