Why your business needs to appear in ChatGPT and Claude
Why AI answers can shape your next customer’s shortlist, what LLM indexing really means, and how to improve visibility alongside your Google SEO.

A business owner planning a new website could open Google and search for an agency. They could also ask ChatGPT or Claude: “Help me compare studios that build bilingual websites for Romanian service businesses. I need clear pricing, mobile performance, and someone who can support the site after launch.”
The second question asks an assistant to do part of the selection work. Instead of receiving a page of links and investigating every company, the buyer asks for an explanation, comparison, and possible shortlist. Their next question might be about maintenance, ownership, a realistic budget, or whether a custom website is justified.
If your business is absent from that conversation, a strong Google position alone may not put you back into consideration. If it appears with the wrong description, you could attract the wrong inquiries. If the answer explains your actual strengths accurately, the customer may arrive with a useful understanding of your offer before opening your homepage.
AI visibility can become more commercially important than another improvement in Google rankings when the AI answer is where your customer builds their shortlist. That is a reason to broaden your discovery strategy. It is not evidence that Google has stopped mattering or that every industry has already made the same transition.
From finding a page to choosing a business
Traditional search gives people documents to evaluate. A conversational assistant can help interpret those documents, connect criteria, and suggest what to investigate next. When web search is available and used, it can also bring current sources into that discussion.
Consider a hypothetical restaurant search. “Restaurant Bucharest” leaves most of the comparison to the customer. “Where can I organise a quiet business dinner for twelve people in Bucharest, with vegetarian options and a straightforward reservation process?” describes a situation. The useful answer depends on details that may never appear in a generic homepage slogan.
The restaurant needs to communicate seating arrangements, menu options, location, and how group bookings work. The same principle applies to an accounting firm, a clinic, a construction company, or a digital studio: your website should explain when you are a suitable choice.
This creates a different competitive question. Beyond “Can someone find our page?”, ask “Can someone understand why we belong among the options for this particular need?” A beautifully designed site that says little about the actual service leaves both the reader and any system summarising it with very little to work with.
There is evidence that answers change clicking behaviour
Pew Research Center analysed the browsing activity of 900 US adults in March 2025. Visits to Google results with an AI summary included a click on a traditional result in 8% of cases, compared with 15% without a summary. This was an observational US study of Google, not a Romanian market estimate or a measurement of ChatGPT and Claude. It supports a narrower point: people can consume an answer without visiting a business website.
Our strategic interpretation is that website sessions cannot tell the whole discovery story. Someone may encounter your name in an answer, ask a colleague about it, and later search for the company directly. They may also read a useful explanation without remembering who supplied it. Visibility, attribution, and commercial impact are different things.
Do not convert the study into a promise that AI traffic is automatically more valuable. A mention has to be relevant, accurate, and connected to a real customer journey before it becomes a business result.
What “LLM indexing” actually means
LLM stands for large language model. “LLM indexing” is a convenient marketing expression, but it can hide several different processes. A business should distinguish at least three:
- Model training: information may contribute to the development of a model. This is not a live directory of your company's current services, and it gives you no dependable publication or correction timetable.
- Search discovery and indexing: a provider or its search partners can discover and organise public information that may later be retrieved for an answer.
- Retrieval during a conversation: an assistant can search for or fetch information while responding, depending on the product, available tools, settings, and question.
Not every answer involves a fresh web search. A model's existing knowledge and a response grounded in retrieved pages are different starting points. Neither should be treated as a perfectly maintained business register.
There is no single universal LLM index where you submit a website once and become visible in every assistant. There is also no general “indexed by AI” certificate that proves recommendation coverage. A page being accessible, being discovered, being used as a source, and having its business recommended are separate outcomes.
The practical goal is more specific: publish reliable information that relevant discovery systems can reach, and that a person or an assistant can use to understand your business accurately.
ChatGPT and Claude separate search access from training
OpenAI's crawler documentation distinguishes OAI-SearchBot for search, GPTBot for potential model-training use, and ChatGPT-User for certain user-directed page visits. Search and training permissions are independent: allowing the search crawler does not require allowing the training crawler. A user-directed visit is also not proof of search inclusion.
Anthropic's crawler documentation similarly distinguishes ClaudeBot for model development, Claude-SearchBot for search, and Claude-User for user-initiated access. Blocking its search or user agents can reduce visibility in the corresponding experiences. These controls govern access; they do not guarantee that Claude will recommend a company.
For a business owner, the useful request to a developer is: “Show me our current crawler policy and explain which public discovery paths it permits.” A blanket instruction to block every AI bot can conflict with a goal of appearing in AI search. A blanket instruction to allow everything is equally poor policy if it ignores your actual preferences.
Review the hosting and firewall behaviour alongside the crawler directives. A public page may look fine in your browser while an automated request receives a challenge or an error. Keep access decisions deliberate, and keep private customer or account information behind proper authentication.
Why Google indexing still belongs in the plan
Google says its established SEO practices also apply to AI Overviews and AI Mode. A supporting page must be indexed and eligible for a search snippet. Google does not require a special AI text file or special schema for these features, and eligibility does not guarantee inclusion.
The comparison is therefore not simply Google versus AI. Google's own search experience includes generated answers, while other assistants can connect search and conversational reasoning in their own ways. Neglecting your search foundations can damage more than one discovery channel.
Keep investing in clear pages, sensible navigation, accurate metadata, mobile usability, and a useful local presence. Our earlier article on SEO and GEO as one visibility strategy explains that shared foundation. GEO, or generative engine optimisation, is a name for improving how content can participate in generated answers; it is not a separate guarantee of placement.
The important change is in the objective. Instead of treating a Google position as the final achievement, treat it as one route into an informed customer decision.
When AI visibility can deserve greater priority
The strongest case appears when buying involves explanation and comparison. A customer choosing a specialised professional service, planning a website, evaluating software, or arranging a complex event may need help combining several constraints.
In those situations, an accurate appearance in a relevant answer could be more useful than ranking for a broad phrase that attracts people outside your target audience. A smaller amount of discovery can still matter if it reaches the right problem with the right expectations.
That is a hypothesis to test for your business, not a universal budget rule. Start with recent customers. Ask how they researched the purchase, whether they used an assistant, what questions they asked, and which information helped them decide. Look for evidence that conversational research actually participates in your sales process.
For an urgent nearby service, maps, opening hours, reviews, and an obvious phone number may remain the immediate priority. For a complex purchase, detailed explanations and independent proof may deserve more attention. Most businesses will need a combination.
Do not abandon a profitable search channel because a new label sounds modern. Adjust effort around observed customer behaviour and qualified inquiries.
Give your business a clear, consistent identity
An assistant cannot explain a business accurately if the public information contradicts itself. One page describes a local studio, another suggests a national consultancy, and an old directory lists a discontinued service. A prospective client faces the same confusion.
Make the basic facts easy to find: the business name, service area, services offered, intended customers, languages, relevant experience, contact route, and important limits. Use consistent terminology across the homepage, service pages, portfolio, and legitimate external profiles.
Distinguish a physical office from an area you serve. Distinguish a service you deliver directly from a referral to a partner. Explain whether prices are fixed, indicative, or calculated after a brief. These distinctions reduce the chance that someone makes a decision on a misleading summary.
Consistency does not mean repeating identical paragraphs everywhere. It means giving compatible answers to the same factual questions. For businesses serving both Romanian and English-speaking customers, maintain both versions with the same offer and current details. A bilingual website should not describe two different companies by accident.
Write pages around the questions buyers actually ask
A service page should help a reader decide whether to contact you. “Professional solutions tailored to your needs” gives them little basis for that decision. Explain what is delivered, who it suits, how the work happens, what the client must provide, and what comes next.
Use questions from real inquiries. For a website studio, these might include who owns the domain, whether Romanian and English are included, what maintenance covers, and how new features are estimated. For a restaurant, they might concern group reservations or dietary choices. For a trades business, they might concern service areas, site visits, and the information needed for an estimate.
Place a direct answer near a descriptive heading, then explain the conditions and exceptions. Each important section should remain understandable when someone reads it outside the full page. That does not require turning every article into a repetitive FAQ.
Here is a hypothetical improvement. Replace “We offer complete digital solutions” with “We plan and build Romanian and English presentation websites for service businesses; ecommerce and custom account systems are estimated separately.” The second sentence gives a reader an actual category, audience, deliverable, and boundary.
Publish that sentence only if it is true. Specific copy improves understanding because it conveys information, not because a particular phrase activates an AI ranking mechanism.
Evidence gives an explanation something solid to use
Your own claims should be supported by material a customer can inspect. Relevant project examples, an understandable process, real client feedback, and clearly scoped deliverables help someone evaluate whether your positioning reflects your work.
A useful case study describes the starting problem, what you delivered, the constraints, and what changed. If you report an improvement, explain how it was measured. If you only have qualitative feedback, say that. Do not turn a design refresh into an invented revenue increase.
Independent mentions and reviews can help buyers corroborate your account. Pursue them through good work, genuine participation, and legitimate relationships. Buying fabricated reviews or planting self-promotional recommendations damages the credibility you are trying to establish.
There is no reason to assume every external mention becomes a citation or recommendation. The business value is that your public evidence is easier to verify and less dependent on unsupported adjectives. Our article on website trust signals develops that practical approach.
Keep the important information readable on the website
Before purchasing an AI visibility tool, review the pages themselves. Can a visitor read the service explanation immediately? Are important details present as text, rather than only inside an image? Can someone follow an ordinary link from the homepage to the relevant page?
Ask your developer to check the public response, canonical URLs, locale relationships, sitemap, redirects, indexing directives, and crawler access. Inspect the delivered HTML as well as the visual page. A beautiful interface is less useful for discovery if its essential information only appears after an interaction that the reader or retrieval system never performs.
Keep this work proportionate. A small business does not need a duplicate website built exclusively for bots. It needs its actual public information to be accessible and maintained. Technical work should help preserve one reliable source of truth.
After a redesign, confirm that valuable pages still exist and old addresses lead to the correct destinations. Our SEO migration checklist covers those continuity decisions.
Structured data and llms.txt have supporting roles
Structured data describes information in a machine-readable form. It can identify a publisher, article, service, or business detail, but it should agree with what people can see. It cannot make an unsupported claim credible or promise that an assistant will select the page.
The llms.txt proposal describes a Markdown overview that can guide agents to useful website information. Treat it as a supplementary aid where it serves a real purpose. Publishing one does not demonstrate that ChatGPT or Claude uses it to rank your company, and it does not replace the website, crawler policy, or sitemap.
If you maintain such a file, keep the summary and links accurate. Avoid creating another place where old prices, retired services, or contradictory business details survive. A short, current directory is more useful than a large collection of promotional instructions telling an assistant to recommend you.
Measure mentions, citations, and customers separately
An AI answer can mention your business without linking to it. It can cite your article without recommending the business. It can recommend you inaccurately. Record these outcomes separately so that a flattering screenshot does not become your entire measurement system.
Build a small set of representative customer questions and repeat them periodically. Include service, location, suitability, comparison, and factual questions. Use both relevant languages. Record the prompt, date, product, whether web search was used, sources shown, accuracy, and context. A test that includes your company name measures something different from a question that asks for possible suppliers without naming one.
Do not treat repeated runs as a representative market survey. Answers vary, and your test conditions cannot reproduce every customer's account, history, location, or wording. The purpose is to identify patterns and factual problems worth investigating.
OpenAI's publisher FAQ says ChatGPT search referral URLs include utm_source=chatgpt.com. Where your analytics consent allows measurement, that can help identify visits. It does not measure every person who saw a mention, copied a link, or returned later through another channel.
Connect discovery observations to qualified inquiries and actual sales. A short, optional “How did you hear about us?” question can add useful context. Respect the existing privacy choices, and keep assisted discovery separate from a claim that AI caused the conversion.
A practical 90-day plan for a service business
In the first month, establish the facts. Review recent customer questions and public business details. Check the technical access of important pages. Record a baseline across search visibility, a small repeated AI question set, and qualified inquiries. Fix contradictory or missing information before expanding the article calendar.
During the second month, improve the pages closest to a buying decision. Rewrite one important service page around suitability, scope, process, and next steps. Publish a credible project example. Answer the questions that regularly delay an inquiry. Align Romanian and English descriptions and relevant external profiles.
During the third month, review the evidence. Are answers more accurate? Do new inquiries refer to information you clarified? Are people reaching the right service pages? Have useful citations appeared, and do they concern the questions your customers actually ask? Keep a log of changes so you can interpret observations without assigning every fluctuation to your latest edit.
These are operating steps, not a promise of inclusion within ninety days. If the baseline shows that customers mainly use maps or conventional search, keep those channels adequately funded. If conversational research is becoming part of meaningful purchases, give it an explicit place in your ongoing content and measurement work.
Build a business presence worth understanding
Appearing in ChatGPT, Claude, and other AI results matters because discovery can include interpretation and selection before a visitor reaches your site. A business that communicates its fit clearly has better material for that conversation than one relying on generic claims and a ranking report.
Our view is that this makes AI visibility a growing strategic priority, especially for purchases involving explanation. Its importance should be assessed against your customers and commercial outcomes. Google indexing remains part of the infrastructure; useful explanations, verifiable evidence, and accurate representation determine whether discovery helps a buyer take the next step.
At Dorobanti Media, we approach this through the website itself: clear positioning, readable content, coherent Romanian and English information, technical discovery foundations, and a usable contact path. Explore our website services, or tell us about your business so we can discuss the pages and questions that matter to your customers.


