AI Search and What We Learned from 50 Greek Business Websites

AI Search raises a practical question for every business. Does your website simply introduce your services, or does it answer the questions customers ask before buying? We examined 50 websites operating in the Greek market and found that basic company information was often more complete than the explanations available to potential customers.

How did we assess AI Search readiness?

We assessed 38 observable signals across seven categories, ranging from content accessibility to explanatory formats. Data collection took place on 15 October 2026 and covered homepages and selected internal pages.

The sample included five websites from each of ten groups. These covered retail, tourism, manufacturing, technology, healthcare, education, financial services, real estate, transport and energy.

We examined available text, headings, basic access settings, company information and machine-readable descriptions. Participating websites are reported anonymously, without company names or domain addresses.

Selection was purposive rather than random. Some initial addresses were replaced because of access problems, which may favour more accessible websites. Reviewing a limited number of pages also means information could exist elsewhere without being detected.

The readiness score is the average of seven category scores. Unknown observations were excluded from the relevant calculations. This is a study-specific assessment framework, rather than an official score issued by Google or OpenAI.

What did the results show?

The overall average score was 79.5 out of 100. Company information and basic technical signals scored more highly than answer formats and structured data.

Each category uses different criteria. The gaps show which signals were detected more frequently under this method. They do not demonstrate that AI systems prefer one category over another.

Overall, 27 websites scored at least 80. Another 20 scored between 60 and below 80, while three scored between 40 and below 60.

A score of 80 out of 100 does not mean an 80% chance of appearing in an AI answer. The framework has not been validated as a model for predicting citations.

Which answers were most often missing?

The most frequent gaps involved presenting information as questions, processes and documented examples. Listing a service in the menu does not necessarily explain how that service works.

Within the reviewed content, the following signals were not detected.

• On 32 websites, a question or FAQ heading.
• On 31 websites, a numbered process or the predefined wording used to identify process descriptions.
• On 25 websites, an internal link indicating research, a report or a case study.

These findings do not mean every page needs an FAQ or numbered list. They suggest checking whether the knowledge held inside a business is available publicly in a useful format.

Consider a transport company. A potential customer might need to know which details are required for a quotation, what affects delivery time and which shipments the company cannot handle. A broad statement about “complete solutions” leaves those questions unanswered.

The same applies to a software provider. Naming a product tells visitors what exists. Explaining who it suits, what implementation involves and where its limitations lie helps them evaluate it.

Why does a business website need clearer explanations?

A clear company identity helps visitors understand who is speaking. Specific explanations help them decide whether the service fits their needs.

The high company identity score came from basic signals such as business names, company pages and contact information. It was not a measurement of reputation, service quality or trust assigned by an AI model.

AEO optimization is the practice of organizing content into clear, self-contained answers. For a business owner, a useful starting point is the questions the sales team already hears.

What does the quotation include? What conditions apply? When is the solution unsuitable? Who provides support after delivery?

These questions can guide both content and website development, helping the structure support real purchasing decisions.

A useful exercise is to ask someone unfamiliar with your business to read a service page. Then ask them to explain what they would receive and what they would need to do next. Their uncertainty can reveal gaps that your own team no longer notices.

Do you need special technology to appear in AI answers?

Google does not require special AI markup or a new file for its AI search features. Established SEO requirements still apply, without any guarantee that a page will appear.

Google explains these requirements in its official documentation for AI Overviews and AI Mode. Adding a new label to a website cannot replace accessible, useful content.

Structured data is information presented in a format that helps machines identify elements of a page. It was detected on 37 of the 50 websites, although its presence did not confirm that every declaration was correct.

Google requires structured data to match the visible content. Both the implementation and the information it describes therefore need checking.

When comparing SEO services and AEO support, ask for specific deliverables and a measurement method. A broad promise of “visibility in ChatGPT” does not explain what work will be carried out or how success will be assessed.

What can you improve on your own website?

Start with your most important commercial pages and the questions that influence buying decisions. A manageable set of improvements gives your team a clearer task than a general refresh without defined priorities.

1. Choose five important pages. Focus on services or product categories that matter commercially to your business.
2. Collect ten common questions. Ask sales and customer support for examples instead of guessing what visitors want to know.
3. Write the short answer first. Follow it with conditions, exceptions and an understandable example.
4. Support your claims. Use genuine measurements, verifiable details or published sources.
5. Check consistency. Your business name, contact information and service descriptions should agree across pages.
6. Record the changes. Keep a baseline and a review date so you can assess progress.

For a small team, deciding what to prioritize can be the hardest part. Digital consulting can help connect website improvements with specific business objectives.

Keep content improvements separate from visibility claims. Publishing a clearer explanation is an observable change. Establishing whether it influenced AI citations requires a different measurement process.

From our experience

Our experience conducting this study showed why detecting an element and checking its correctness are separate tasks. One website contained a structured data block that could not be parsed as valid JSON.

The same principle applies to content. A heading can exist without providing direction. A short paragraph can be well written without answering the visitor’s question.

Automated checks are therefore a starting point for investigation. They do not replace a person who understands the service, reads the page and considers what a potential customer actually needs to know.

What should you do next?

Open your most important service page and check whether it explains what you offer, who it serves and what someone needs to know before buying. Record unanswered questions before investing in more content.

AI-powered search adds another reason to organize information carefully. The immediate value still lies with the person trying to make a decision.

If you want to apply this approach to your business website, contact Wechevo with your main services and the questions your customers ask most frequently.