In short
- AI assistants value most the websites that answer the question right at the start, with no long introductions.
- Google rankings bring most of your traffic, but a mention from an AI assistant is a strong signal of trust.
- Structured data schemas such as LocalBusiness, Product or FAQ help assistants extract and present information more accurately.
- For a small business, the fastest results come from clear, short answers and a well-built questions and answers section.
How search is changing: from Google to AI assistants
More and more small business owners are asking themselves: “Are my customers no longer searching on Google?” The truth is that people still use Google, but they increasingly turn to ChatGPT, Gemini or Perplexity, and they ask their questions as full sentences rather than keywords. They expect a direct answer, not a list of links. That difference matters: AI assistants don’t rank pages, they pick sources they consider clear and reliable enough. If your site isn’t cited, it isn’t part of that conversation. This is exactly how we work at WebTact: a website has to be easy for people to understand and also “readable” by the machines that decide what to recommend.
AI search vs SEO: the key differences
AI search works like this: you ask a question in plain language and get a ready answer with sources. There are no blue links and no classic first page. The answer contains a few names the model considers reliable enough.
Classic SEO aims to get your site a high position in Google. Now the job is twofold: the site has to rank well and also be the source the AI model cites. These are two different tasks that run in parallel. You can be number one in Google and still not be mentioned by ChatGPT. It works the other way too: a lower classic ranking doesn’t rule out being cited if you answer the question precisely and clearly.
Ranking brings clicks. Citation brings trust.
Ranking vs citation: two games played at the same time
Ranking in Google is like having a big sign out front: more people will see you. Trust is earned another way, when people recommend you to their friends. In the world of AI, that means the model names your site as a reliable source in its answer.
A high Google ranking brings clicks because the user decides whether to open your site. An AI citation, on the other hand, is a recommendation from the system itself: it has already judged your content useful and presents it directly in the answer. For a small business this is especially valuable, because you gain trust without competing against big advertising budgets. A successful strategy combines both. SEO optimization is still important for traffic from Google, but visibility in ChatGPT and Gemini is now a must.
How AI assistants choose sources for their answers
The logic behind source selection isn’t a public formula, but watching how the models behave reveals a few clear signals. The first and most important is how directly the page answers. Models prefer pages that answer the question in the first sentences, with no introductions, no marketing phrases and no padding. If you ask “how much is delivery to Varna”, the model cites the page that gives the price in the first paragraph, not the one that talks about how big the company is.
Topical authority carries weight as well. A site that covers a topic thoroughly, with many related pages and consistent content, gets cited more often than a thin page that touches the topic by chance. Consistency across your social profiles and mentions on other websites reinforces trust: when the name, address and phone number match everywhere, the model is more inclined to accept that the source is real and reliable. Structured data helps machines quickly understand what a page is about, without having to guess from the text.
- A direct answer to the question in the first 2 to 3 sentences
- Thorough coverage of the topic, not isolated pages
- Consistent company details across all directories and profiles
- A clear page structure that machines can recognize
- Natural language that matches the questions customers really ask
Structured data: the key to visibility in AI search
Structured data are special tags that help computers better understand the content of a page. They mark what is a price, what is an address, what is opening hours or a customer review. Readers never see these labels, but they matter enormously to artificial intelligence. When ChatGPT, for example, has to say whether a restaurant is open on Sunday, a page with clearly marked opening hours is far easier to read than one where that information is buried in a long block of text.
Structured data schemas include different types such as LocalBusiness, Product and FAQ. Each one gives artificial intelligence a clear structure for understanding the information. The effect is twofold: search results become richer, and AI assistants extract facts with more certainty. This means that even established websites are still catching up with the new requirements. For a small business, it is a chance to prepare in time and take a good position before the market gets too crowded.
The content AI assistants cite most: what works
| Content type | Likelihood of being cited in an AI answer | Time to create | Technical skills needed | Impact on topical authority | Fit for a small business |
|---|---|---|---|---|---|
| Short direct answers | Easiest to cite | Low | None in particular | Moderate | Fastest and easiest approach |
| Long guides | Medium | Significant time and resources | Moderate | Build long-term authority | Strategic, with a long-term return |
| Lists and comparisons | Often | Not very time-consuming | Minimal | Medium | A good way to join the conversation |
| Frequently asked questions | High | Low cost | None | Moderate | Most effective and practical choice |
There is no single format that works for everyone. For a small business with limited time, the fastest results come from short answers and a frequently asked questions section. If the business has strategic goals, long guides on key topics are an excellent way to strengthen its authority. Lists and comparisons are useful when the market is looking for an answer to “which option is better”.
AI search optimization: practical steps for your business
Optimizing for AI search isn’t expensive. The first and most important steps are within reach of any small business owner in Bulgaria, and you can start today. Step one is a check, then comes the action.
- Open ChatGPT, Gemini and Perplexity and ask “What does [your business name] offer?” This shows whether the assistant knows about your company and describes what it does correctly. It also shows you where to start.
- The second step is to add clear, specific answers to your customers’ most common questions. Each answer should sit in its own paragraph that makes sense without the rest of the content.
- The third step is to add basic Schema.org markup: LocalBusiness for the company, Product for your products and FAQ for the questions. It takes a little technical work, but the main types are fairly easy to implement.
- The fourth step is to make your name, address and phone number identical in every online directory, social profile and your Google Business Profile. Even small mismatches, like “St.” versus “Street”, can create an impression of uncertainty.
- The fifth step is to create content that answers questions asked in natural Bulgarian. Don’t stuff it with keywords: AI models rely on meaning, not on how many times a word is repeated.
At WebTact we build business websites that Google and AI assistants understand, combining classic SEO optimization with AEO and GEO practices. Our approach starts from your customers’ questions, not from the design. One practical example is the Donkydoo project, which gets regular online orders from organic traffic even without active paid advertising. It shows how GEO optimization and visibility in ChatGPT work in practice when the content is structured correctly.
How to check whether your efforts are working
A manual check is the easiest way to keep track. Once a month, ask ChatGPT, Gemini and Perplexity the same set of questions about your business and note whether it is cited and how. Answers vary between platforms and even from one day to the next, so the overall trend matters more than any single result. If your business starts showing up in answers consistently, the work is paying off. If it doesn’t, go back through the steps: content first, then structured data for AI search, and finally the accuracy of your information. Stick with it and you will see results within a few months.
Frequently asked questions
Do I have to give up classic SEO to focus on AI search?
No. Optimizing for classic search engines and working on AI visibility go hand in hand. Traditional SEO brings steady traffic from Google, and a place in AI assistant answers adds a new channel. A technically sound, well-structured website wins in both.
How long does it take for a business to appear in AI assistant answers?
It depends. If your site gives clear, specific answers, the first results can show up within a few weeks. Lasting presence takes consistent work and keeping your content and data up to date over several months.
Can a small business in Bulgaria compete with big websites in AI answers?
Yes. AI models often give priority to sources that answer precisely and locally. If your business is in Burgas or another city, clear local information and specific answers will make it stand out against bigger sites full of general claims.
What is the difference between GEO and AEO?
AEO is about getting your business found through AI assistants, usually for local or informational queries. GEO is the broader term for optimizing for all generative search engines. The two concepts overlap to a large degree.
How does structured data help AI assistants understand a website?
Structured data gives models clear labels for each element on the page: price, address, opening hours, review. That way assistants pull the exact information directly and present it with more confidence.
