How to Promote Your Website in ChatGPT: What You Need to Do to Get AI to Recommend Your Business

Until recently, the question of how to promote a website in ChatGPT sounded more like a technological experiment than a real marketing task. For decades, search promotion revolved around Google: companies optimized pages, built links, worked with keywords, and tried to rank as high as possible in search results. Now a potential customer may not open a search engine at all and instead ask ChatGPT, Perplexity, or another AI system which company to choose, where to buy a particular product, or whom to trust with a specific service. And if a business once focused on getting in front of a potential customer, it increasingly has to think about how to become one of the options that artificial intelligence recommends to its users.

At the same time, quite a few myths have already emerged around this new field. There is no special “add your business to ChatGPT” button, there is no guaranteed first position in AI answers, and installing a few special meta tags does not turn an ordinary website into a leader in AI search. Moreover, different systems work differently, so there is still no universal algorithm that works equally well for ChatGPT, Google AI Overviews, Perplexity, and other services. It is much more reasonable to view AI search as a new way of consuming information that forces businesses to look at familiar SEO principles from a slightly different perspective.

Search Engines No Longer Simply Show Links

Imagine someone planning a trip and writing: “Recommend some good family hotels in Crete near the beach, but not in the busiest tourist area.” In a traditional search engine, they get numerous pages and then compare locations, prices, reviews, and photos themselves. AI search can perform several related queries, gather information from different sources, and present the user with an already processed answer in which several options have been selected according to their requirements. This difference between finding information and processing information is the main change for businesses.

For a company, this means that having a good position for a single keyword is no longer enough. Suppose a travel equipment manufacturer sells high-quality backpacks, but its website only talks about models and prices. A user, however, may ask not “60-liter backpack,” but “Which backpack should I choose for a ten-day trek with a tent in a rainy climate?” To appear among the useful options in the answer, the business should ideally provide information not only about the product itself, but also about its purpose, specifications, use cases, limitations, and real customer experience.

This does not mean that traditional SEO is no longer important. In its recommendations for AI Overviews and AI Mode, Google emphasizes that the basic requirements remain the same: pages should be accessible to search crawlers, contain useful and understandable main content, have a proper structure, and comply with the general principles of high-quality search. AI search does not replace technical SEO and content marketing — it adds a new way of using information.

How to Promote a Website in ChatGPT Without Magic SEO Tricks

The first thing a business owner needs to understand is that AI must be able to access information about the company. If a website is blocked to the relevant crawlers, important data is available only after complex JavaScript execution, or a significant portion of the content is presented as images, the system has less material to analyze. In the case of ChatGPT Search, OpenAI specifically identifies OAI-SearchBot, which is used to search and process information from the public web. Therefore, checking a website’s technical accessibility is not a minor marketing detail but a fundamental stage of the entire strategy.

However, a website being open to crawlers does not mean that AI understands its content well. Imagine a small company that makes custom furniture. Its homepage may contain beautiful interior photographs and an impressive slogan such as “We create the space of your dreams,” while making it difficult for both visitors and machines to understand exactly what products the company makes, where it operates, whether it makes kitchens, whether it works with designers, what materials it uses, and what price segment it occupies. Visually, such a website may look excellent, but informationally it is rather poor.

Therefore, one of the main goals of AI-oriented SEO is to make the business unambiguously understandable. The website should clearly answer simple questions: who are you, what do you sell or manufacture, who do you work for, where do you accept orders, what is your specialization, and what problems can you solve? For a dental clinic, this means treatment areas and geographic coverage; for a law firm, areas of law and jurisdictions; for a restaurant, cuisine, format, and location; for an industrial company, products, technologies, and applications.

AI Must Understand Not Only the Company Name but Also Its Specialization

The more complex the user’s query, the more important context becomes. People rarely ask only for the name of a product or service: they describe a problem, budget, limitations, location, deadlines, and desired outcome. If a homeowner asks which solar panel system to choose for a particular region, they do not simply need a list of companies that use the words “solar panels” on their websites. They need suppliers who work with private homes, understand local conditions, offer suitable equipment, and can carry out the installation.

That is why service pages should not be turned into short advertisements. A good page should explain exactly what the service includes, who it is suitable for, what options exist, what limitations need to be considered, and what the typical workflow looks like. If a company specializes in yacht repairs, it is much more useful to provide detailed information about hull, engine, electrical, and navigation equipment repairs, specify the types of vessels and geographic coverage, than to limit the page to pictures of boats and a heading such as “Full Range of Services.”

The same applies to the “About Us” page. It is often treated as a place for a beautiful founding story, employee photographs, and a few general statements about company values. In reality, it is a natural source of context: this is where you can systematically explain the company’s specialization, experience, geographic coverage, industries, customer types, and actual capabilities. The clearer this information is presented in human language, the less the machine has to guess what the organization actually is.

Why a Good Website Is Not Enough

This is where AI search differs fundamentally from an ordinary business presentation. A company may state on its own website that it is the best in the city, has twenty years of experience, and provides services of the highest quality, but all these claims come from a single source — the company itself. For a user, this is a reason to look for additional information; for AI, the same question arises: what can confirm these claims?

Imagine two restaurants in the same city. The first has an expensive website with professional photographs and highly persuasive marketing copy, but almost no independent mentions. The second has a noticeably simpler website, but the restaurant appears in city guides, food publications, and specialized directories, has detailed customer reviews, and its specialization is described consistently across different platforms. If AI needs to choose several restaurants for a specific scenario, the second business potentially has much more independent context to rely on.

Therefore, in the age of AI search, digital reputation becomes part of search visibility. This does not mean that you should immediately register with hundreds of directories or buy dozens of publications containing links to your website. On the contrary, natural and thematically relevant sources are more valuable: professional publications, industry platforms, genuine reviews, interviews, case studies, specialized directories, customer publications, and other materials that confirm the existence and specialization of the business.

How to Promote a Website in ChatGPT Through Reputation, Not Manipulation

This strategy has an important limitation: the number of mentions alone guarantees nothing. If a company creates one hundred nearly identical pages saying “the best dental clinic in Athens,” that will not automatically turn it into the most relevant option for AI. Mass publication of low-quality or artificially generated content has long been considered poor practice in traditional search as well. For AI search, a small number of genuinely informative sources that independently confirm the same facts is much more useful.

This is especially clear with complex services. An industrial equipment manufacturer can gain much more from several detailed industry publications and real case studies than from a hundred generic advertising articles. A travel company can showcase completed routes, photographs, customer stories, and expert materials about destinations. A law firm can publish analyses of real situations, explain changes in legislation, and demonstrate the specialization of its lawyers instead of endlessly repeating the words “lawyer,” “attorney,” and the name of the city.

Thus, the goal is not to make the internet talk about the company as loudly as possible. It is much more useful to create a trustworthy information environment around the business in which different sources answer the same questions: who is this company, what does it do, what is it competent at, what customers does it serve, and what results has it actually achieved? The fewer contradictions there are between these sources, the more coherent a picture of the business is available to both people and, potentially, AI systems.

Reviews: Not Just a Rating, but Additional Context

Reviews are particularly interesting because they allow a company to be seen through something other than its own eyes. The phrase “Great service, everything was perfect” says almost nothing about a business’s specific specialization. A review in which a customer explains what problem the company solved, why they chose it, what was done, and what the result was has a completely different informational value.

For example, a review of a travel company may describe how it organized a multi-day family itinerary; a review of an equipment manufacturer may discuss a non-standard order and the time required to complete it; and a review of a software developer may describe a specific integration implemented for a client. Such testimonials create additional context around a company and help reveal real-world use cases for its product or service.

At the same time, reviews should not be turned into SEO texts. The wording “The best dental clinic in Athens with professional dental treatment” looks artificial and gives a potential customer almost no useful information. A natural account from a real person describing the problem the company helped solve is much more valuable both in terms of trust and content.

Content Should Answer Customer Questions, Not Just Target Keywords

One of the most noticeable changes concerns how queries are formulated. In a search box, a person might type “Greece real estate lawyer,” while in ChatGPT they are more likely to describe a complete situation: “I want to buy an apartment in Crete, but I am not an EU citizen. What kind of lawyer should I look for and what documents will I need?” Such a question already contains a goal, limitations, geographic context, and selection criteria, so pages built only around individual keywords become much less versatile.

This creates enormous opportunities for expert content. A travel agency can talk not only about trips to Iceland, but also about who a winter trip is suitable for, how many days should be allocated to the itinerary, what weather risks need to be considered, and when it makes sense to contact an organizer. An air-conditioning installation company can explain how to choose the right capacity for different rooms, why certain systems are unsuitable for particular apartments, and when repairing old equipment no longer makes economic sense.

Such materials work on several levels at once. They give people useful information before they contact the company, create additional entry points from traditional search, and give AI a substantive source from which it can extract specific facts and expert explanations. That is why strong expert content is one of the most natural ways to promote a website in ChatGPT: not through mechanical repetition of the company name, but through information that helps answer real questions from potential customers.

And this does not necessarily mean articles on a corporate blog alone. Useful sources can include detailed service pages, guides, instructions, comparison reviews, answers to complex questions, research, calculators, reference materials, and real case studies. The more complex the product or service, the more opportunities a company has to demonstrate its expertise through the content of its own website.

The Website Structure Should Be Understandable Not Only to People

Modern websites are often designed primarily as visual interfaces: designers think about the hero section, photographs, animations, and buttons, while developers make sure everything works correctly across different devices. But behind the attractive exterior there must be a clear information architecture. If important information is scattered across dozens of pages, hidden inside complex interactive elements, or appears only after extensive JavaScript execution, it becomes harder for a machine to quickly determine what the main content actually is.

This does not mean that you need to create a separate version of the website for AI consisting of nothing but text. A good architecture should work equally well for humans, conventional search crawlers, and AI systems. Clear headings, a logical page hierarchy, proper internal linking, textual descriptions of services and products, correct metadata, and accessible main content are useful to all three audiences.

Particular attention should be paid to pages that serve as information hubs for the business. The homepage should provide a clear understanding of the company and its specialization, service pages should explain specific offerings in detail, case studies should demonstrate results, and expert materials should showcase knowledge in the relevant field. When these elements are connected through a logical structure, it becomes much easier for a search system to understand not just individual pages but the entire website as a unified information environment.

Technical Accessibility: First, You Need to Let AI See Your Website

You can create excellent content, collect good reviews, and publish dozens of expert materials, but all of this may be useless to a particular AI system if its crawler cannot access the website. This is where fairly ordinary technical tasks come into play: checking robots.txt, server settings, CDN, firewall, and anti-bot systems. OpenAI, for example, separately documents OAI-SearchBot, which is used to search and process public web content, while Perplexity publishes its own documentation for PerplexityBot.

Different bots may also have different purposes. Therefore, you cannot simply follow the logic of “allow all bots and everything will be fine.” A website owner needs to understand which crawlers are accessing the server and what functions they perform, while developers should take these settings into account when configuring security. Otherwise, it is entirely possible for a website to work perfectly for ordinary visitors and even be highly visible in Google while a particular AI system cannot access the page it needs.

There are also more mundane problems. Sometimes important text exists only inside an interface generated after JavaScript execution, images have no proper textual descriptions, or the page structure is so overloaded with decorative elements and technical code that useful content is surrounded by huge amounts of secondary information. This does not mean that all JavaScript is bad or that a modern website should look like a document from 1998. The real question is whether a machine can reliably access and interpret the page’s main content.

Why Speed and Clean HTML Still Matter

Website speed is usually discussed in the context of user experience and traditional SEO, but technical efficiency also matters for machine processing. The more unnecessary code, heavy scripts, and external dependencies have to be loaded, the more difficult it becomes to work with the resource, especially if the website contains a large number of pages. At the same time, there is no simple rule saying that “a fast website will necessarily receive an advantage in ChatGPT”: AI systems do not publish such a universal ranking factor.

But that certainly does not mean optimization can be ignored. Clean HTML structure, accessible main content, optimized images, reasonable use of JavaScript, a stable server, and a sound internal architecture make a website more predictable for any systems that process it. Ultimately, a technically sound resource is needed not because there is a secret “AI speed factor,” but because it creates fewer obstacles for users, search engines, and machine analysis.

This is why the idea of creating a separate “AI website” is usually misguided. It is much more sensible to remove from the regular website whatever interferes with its normal operation: unnecessary code, duplication, redundant scripts, unstructured content, and complex technical constructions without real value. Good optimization should make the resource faster, clearer, and more accessible at the same time, rather than turning it into a special format exclusively for robots.

Does Your Website Need an llms.txt File?

Against this background, another term has emerged that is now often associated with AI optimization — llms.txt. The idea is quite simple: a special Markdown file is placed in the root of a website, containing a brief description of the resource and links to the most important materials. The assumption is that such a concentrated set of information may help language models navigate a large website more quickly and access its most significant content.

The idea is interesting, especially for large resources, but it is important to draw a clear line between a promising tool and a proven search-ranking factor. llms.txt is not an equivalent of robots.txt, and there is no basis for claiming that its presence automatically improves a website’s position in ChatGPT or Google. Google explicitly states that creating special files such as llms.txt is not required for a website to appear in its AI features.

Therefore, such a file can be used as an additional layer of information architecture, but not as a replacement for SEO. It is particularly logical for documentation, large corporate websites, educational projects, SaaS services, and multilingual resources where dozens or hundreds of pages contain information that is difficult to represent on a single short page. In such cases, a structured description of the most important materials can indeed be a useful way to organize content.

For WordPress, this task can, for example, be handled by the SunnyLLMS plugin, which automatically creates llms.txt and allows separate files to be generated for different language versions of a website. This is our development at SunnyWebStudio.com, and one of its features is that it works correctly with multilingual projects where information is distributed across several localized versions. In such cases, we separate the content by language and provide it in a format convenient for AI. But it is fundamentally important to understand the purpose of the tool: it helps organize information for machines; it does not guarantee that AI will start recommending a particular business.

Consistency Is Especially Important for Local Businesses

For companies operating in a particular city or region, geography becomes part of the very identity of the business. When a user asks “Which restaurant should I choose in Athens?”, “Where can I take a diving course in Rhodes?”, or “Who can I contact to repair a yacht in Sicily?”, AI must consider not only the name of the service but also the company’s physical location. Therefore, the address, service areas, branches, opening hours, telephone number, and list of services should be up to date and consistent across different platforms.

Local business profiles and platforms that customers actually use are particularly useful here. If a restaurant has changed its address but several directories still show the old one, unnecessary inconsistency arises. If one platform says that a company operates on Mondays while another lists Monday as a day off, the user has reason to question the accuracy of the information, while an automated system has to determine which source is correct.

Therefore, local SEO and optimizing a business’s presence in AI search largely converge on one simple task: maintaining accurate and consistent information. There is no need to invent a separate “AI strategy” for every city. It is much more important to make sure the company presents itself consistently on its own website, in maps, business directories, social profiles, and other genuinely important sources.

What AI Should See Beyond Your Domain

So far, we have mainly discussed the company’s own website, but a business’s complete digital presence extends far beyond a single domain. For a potential customer, it matters not only what the company says about itself but also what can be learned about it from independent sources. If an equipment manufacturer publishes its own specifications and an industry publication examines a specific project using that equipment, these two materials provide much more context than two pages on the same corporate website.

Such external sources can include professional media, industry directories, associations, conferences, partner websites, interviews, reviews, customer publications, and specialized communities. Their value is determined not by the mere existence of a link but by the quality and relevance of the information. A mention of a small travel company in a good specialized travel publication can potentially be much more valuable for its reputation than dozens of meaningless publications on random websites.

And here it is worth emphasizing once again: there is no need to imitate popularity. Buying large numbers of low-quality publications and creating an artificial network of mentions may produce a nice report for a marketing agency, but it does not necessarily create real value for users. A much more sustainable strategy is one in which external mentions become a natural consequence of the company’s activities: publications appear because of interesting projects, customers talk about results, experts are invited to comment, and professional platforms use their materials.

How to Measure Whether Your Business Is Gaining Visibility in AI Search

With traditional SEO, things are relatively straightforward: you can check a page’s position for a specific query, compare it with competitors, and monitor traffic trends. In AI search, this approach works less well because the same question can produce different answers, the set of sources can change, and the very concept of a “position” becomes conditional. A company may appear third in one answer, first among several recommended options in another, or not appear in a particular result at all.

Therefore, it makes sense to measure not only position but presence. Create a list of real questions that potential customers ask about your product or service and regularly test them in several AI systems. Record whether the company is mentioned, what specific characteristics are attributed to it, which pages are used as sources, and which competitors appear alongside it.

It is particularly important to monitor whether the business is represented correctly. If AI regularly mentions the company but mistakenly considers it a manufacturer instead of a distributor, attributes services it does not provide, or gives the wrong service area, this is not a success but a signal that the information needs to be corrected. The goal is not simply to see the company name in an answer, but to make sure AI correctly understands who can benefit from this business and why.

How to Promote a Website in ChatGPT: A Practical Plan for the Coming Months

You can start with a technical audit. Check whether the website is accessible to search crawlers, whether the necessary pages are blocked through robots.txt, whether the main materials are available without a critical dependency on JavaScript, whether internal links work correctly, and whether important information is hidden exclusively in images or interactive elements. At the same time, check speed, mobile performance, heading structure, and obvious technical errors.

The next stage is to put the business information itself in order. The homepage should explain within seconds what the company does and who it serves; service pages should describe the offerings in detail; and case studies and reviews should support the claimed expertise. If a visitor has to browse five pages to find out whether the company operates in their region or handles the type of task they need, the situation will be no better for AI.

After that, work on expert content. Do not start by generating a hundred keyword-based articles: first collect real questions from customers, salespeople, managers, and industry professionals. Then choose topics where the company genuinely has expertise and create materials that provide specific answers, contain examples, and help people make decisions.

Finally, audit the external information environment. Check how the company name appears across different sources, whether addresses and phone numbers match, whether profiles are up to date, whether reviews are sufficiently detailed, and whether independent materials confirm the company’s specialization. After that, you can move to systematic AI search monitoring and check whether the way the business is represented has changed as a result of the work.

Small Businesses Do Not Need to Compete with Everyone

One of the best pieces of news for small businesses is that AI search potentially creates more opportunities to compete for narrow queries. A small diving center does not have to become more famous than a major international tour operator to be a relevant answer to a question about diving in a specific region. A local auto repair shop does not have to beat a national chain for the generic query “auto repair shop” if it can answer much more precisely to the needs of an owner of a particular car brand in a particular city.

This is where expert content works particularly well. A small business often possesses knowledge that cannot be obtained from generic advertising copy: a restaurant owner knows the specifics of local products, a diving instructor knows the seasonality of particular dive sites, an architect knows the real construction constraints in the region, and a workshop knows the typical problems of specific equipment models. If this knowledge becomes part of the website and the external information environment, the company can compete not through scale but through depth.

Therefore, a limited budget is not necessarily an obstacle. Instead of buying large numbers of advertising placements, a small company can gradually create high-quality service pages, detailed case studies, useful guides, real project photographs, answers to customer questions, and earn genuine reviews. Such materials simultaneously support traditional search, direct traffic, visitor trust, and potential visibility in AI systems.

What GEO Providers Promise — and What You Should Not Believe

As AI search has become a new marketing field, a market for services with bold promises has quickly emerged around it. You can find offers to “get your company into ChatGPT,” “guarantee inclusion in AI recommendations,” or “take first place in all AI systems.” Such claims should be treated critically: even the developers of AI search engines do not offer businesses a guaranteed way to occupy a specific position.

Offers built around a single secret factor are particularly suspicious: a special prompt, one particular file, a certain number of keywords, or dozens of artificial mentions. Real AI search is much more complex. The system takes into account the context of the question, information freshness, source accessibility, and many other factors, while specific algorithms are constantly changing and are not always publicly documented.

Therefore, a professional strategy should remain firmly grounded in reality. Do not promise clients a position in an answer that cannot be guaranteed; instead, improve the elements that the business can actually control: the technical condition of the website, the quality of its information, the expertise of its content, data accuracy, customer experience, and reputation. Ultimately, the winner is not the one who is best at guessing the next algorithmic trick, but the one who has high-quality, well-presented information about their business.

So, How Do You Actually Promote a Website in ChatGPT?

If we reduce the entire strategy to one formula, it turns out to be much simpler than the numerous promises surrounding GEO. AI must be able to find your business, understand what you do, verify important information using available sources, and match your company to a specific user need. This requires a technically accessible website, a clear structure, useful content, real evidence of expertise, up-to-date information, and a sound digital reputation.

Therefore, it is more accurate to talk not about how to “make ChatGPT recommend your website,” but about how to make a business so well represented online that AI systems can easily understand its value. This is no longer a separate trick for a single AI model, but the next stage in the evolution of search marketing. And it requires not so much new secret technology as better execution of what a good business should have been doing all along: providing customers with useful information, backing up its claims with real results, and consistently building trust.

AI search does not replace SEO. It makes SEO broader: it is no longer enough to think only about a page, a keyword, and a position in search results. You need to look at the company’s entire digital image — its website, content, customers, reviews, publications, expertise, technical accessibility, and how consistent all of this appears from the outside. If a business genuinely has expertise and knows how to represent it properly online, it has a much better chance of being found both by a person and by the machine helping that person make a choice.