Someone may discover your business through a search result, a map or an AI-generated answer. The useful question is what they can understand and verify about the offer, and whether they can take the next step. A new acronym does not answer that question for you.
Build pages that answer real buying questions. Make them accessible to the intended search systems, then evaluate what visitors do next.
1. Give the terminology a practical meaning.
SEO concerns visibility in search. AEO is commonly used for work aimed at answer-based experiences; GEO for visibility within generative answers. Usage overlaps. In a proposal, we would translate those labels into actual work: pages, evidence, technical access, internal links and measurement.
For a local studio, useful questions might be “What can I book?”, “What does it cost?”, “Where is it?” and “What happens at the first visit?” We would begin with the answers the business can substantiate. Copying a competitor’s FAQ or publishing many thin variants of the same page adds little useful context.
2. Google: check the search foundations.
Google states that AI Overviews and AI Mode use existing SEO foundations. A page needs to be indexed and eligible for a search snippet; no additional technical requirement or special AI schema is required. Meeting the requirements does not guarantee inclusion.
Our first pass would inspect the pages people should discover: can they be reached through navigation, do they explain the service in visible text, and do their titles and links describe the content? We would fix a blocked or unclear core service page before commissioning a large article calendar.
3. ChatGPT: distinguish search from training.
OpenAI documents OAI-SearchBot for search and GPTBot for content that may be used in training. Their controls are independent. Allowing search access is a different decision from allowing training access. ChatGPT-User serves certain user-initiated requests and is another distinct user agent.
For implementation, we would inspect the website’s intended access rules and hosting restrictions with its owner. We would document the choice and check the relevant platform’s current instructions. We would not infer visibility across every AI service from one crawler setting or one successful answer.
4. Publish what makes the answer useful and credible.
Google’s content guidance encourages useful original information and clear evidence of who created it. For a service business, we would make the team, process, scope and practical conditions easy to find. Examples should say whether they describe real work or an illustrative scenario.
A strong page could explain three situations the service fits, what the work includes, a sample output, the likely dependencies and how to begin. A dated comparison should explain what was compared and what could change. We would write Romanian and English versions for their readers, while keeping the underlying facts consistent.
5. Track discovery and the quality of the next step.
We would keep a small, dated set of representative questions and record the platform, wording and sources returned. This can reveal gaps in how the business is described. It is a repeatable observation exercise, not a universal “AI ranking.” Answers can vary between sessions and over time.
We would also inspect visits, inquiries, their relevance and the pages that helped people decide. Where referral information is missing, an optional “How did you find us?” answer can add context. We would compare similar periods and record other changes, including campaigns and seasonality, before attributing business growth to an article or AI mention.
A clearer service page before more articles.
Illustrative plan for a studio whose current page says little beyond “premium services.”
| Question | What we would publish | What we would check |
|---|---|---|
| Is this relevant to me? | Specific situations and who the service fits | Whether a new reader can explain the offer |
| What would I receive? | Scope, sample output and responsibilities | Whether expectations match the actual work |
| Why should I trust it? | Named expertise and clearly labeled evidence | Whether every claim can be supported |
| How do I begin? | Practical details and a short inquiry route | Whether a visitor can send a relevant request |
The proposed outcome is a useful, discoverable page. Search placement and AI citation are not guaranteed deliverables.
A useful first review
List the customer questions that genuinely affect a decision.
Match each important question to a useful page and a clear next step.
Check intended crawl access, indexing and the accuracy of visible information.
Support claims with identifiable expertise, sources or clearly labeled examples.
Record the starting position and review relevant inquiries alongside visibility.
We would start with a few important pages and a clear measurement plan. The work becomes valuable when it helps the right person understand the business and make a better decision.