Ranking in AI
We make the assistant find, correctly describe and recommend your brand.
Hundreds of millions of users ask the assistant "recommend me…" and "the best…" instead of a classic search engine. We tune citations, mentions and sources so your brand appears in the assistant's answers (including ChatGPT search) accurately and compellingly.
ChatGPT optimization means working on your site citability, brand mentions in authoritative sources and the accuracy of the data OpenAI uses for answers. For ChatGPT to recommend your business, you need quality pages accessible to GPTBot and presence in sources the model trusts. Request a quote and we reply within 24-48 hours.
Here we cover ChatGPT optimization for businesses across Spain. We explain how the assistant selects sources and mentions, why brand data accuracy matters for recommendations and exactly what you need to do to appear in the assistant's answers, including ChatGPT search. By ChatGPT optimization we mean setting up site accessibility for GPTBot, creating citable content, managing brand mentions in authoritative sources (Wikipedia, Wikidata, industry directories, press), correcting incorrect company data and building the digital footprint OpenAI trusts. Below you will find a step-by-step plan, a table of citability factors, an expert quote and answers to common questions. At the end, our AI SEO packages with real prices and related services.
ChatGPT builds answers from sources crawled by GPTBot and from data formed before and after model training. To appear in answers you need to work on two fronts simultaneously: make the site technically accessible to GPTBot and build brand presence in authoritative external sources that the assistant perceives as credible. Below are the eight steps we follow on every project.
ChatGPT does not rank sites like Google. It reproduces what it found in reliable sources or what it learned during training. Several factors influence whether your brand appears in answers: the quality of your site content, its accessibility to GPTBot, presence in authoritative external sources and data structure. The table below shows the key factors and how we improve them.
| Factor | Why it matters | What we do |
|---|---|---|
| GPTBot accessibility | GPTBot must crawl pages or content never enters the knowledge base | robots.txt audit, permission setup, crawl log review |
| Citable content | ChatGPT reproduces specific facts, numbers and atomic answers more accurately | Creating and optimising pages with question H2s and proof points |
| External sources | Wikipedia, Wikidata and authoritative media shape ChatGPT's knowledge of the brand | Publishing and updating data, PR mentions in niche publications |
| JSON-LD markup | Structured data helps AI unambiguously identify the brand | Implementing Organization, LocalBusiness, FAQPage schema |
| llms.txt | Special hints file for language models with key brand data | Creating and maintaining an up-to-date llms.txt on the site |
ChatGPT search and ordinary conversations with the model have become a new brand discovery channel. When a user asks "recommend a marketing agency in Spain" or "best SEO services in Valencia", ChatGPT forms its answer from the sources and data it trusts. If the brand is absent from those sources or the data is incorrect, the company simply will not appear in recommendations, or will appear with errors. OpenAI data confirms that the scale of ChatGPT's audience makes it a full-fledged client acquisition channel.
«According to OpenAI, ChatGPT has more than 800 million weekly active users — more and more people ask it questions instead of using classic search, so brand presence in ChatGPT answers directly affects client acquisition.»
ChatGPT optimization is not a one-time setup but systematic work on citability, mentions and brand data accuracy. Start with a technical audit: GPTBot must crawl key pages freely. In parallel you need citable pages with atomic answers, up-to-date data on Wikipedia and Wikidata, JSON-LD markup and llms.txt. External mentions in authoritative sources cement the brand image in OpenAI's knowledge base. ChatGPT search uses the same trust signals as the conversational model, so all the work has a synergistic effect. Request a quote and we will prepare your ChatGPT optimization plan and AI SEO estimate within 24-48 hours.
AI Promotion
So ChatGPT, Gemini, Perplexity and Google AI Overview recommend your company when a customer asks “who’s the best in Valencia”. From €490 a month.
Ranking inside AI models works differently from classic SEO: what matters is how facts about your company are structured, how quotable they are, and whether you show up in the sources the models read. Every month we check what ChatGPT, Gemini and Perplexity say about you and fix whatever keeps you out of the answer. The field is young, so we work on subscription: models keep changing and a set-it-once setup doesn’t hold here. In Spain these services run €1,500-5,000 a month; we come in three times cheaper.
A short brief, and we’ll come back with a plan and quote within 24-48 h. No pressure.
It is a set of actions that makes the brand visible in the assistant's answers: setting up site accessibility for GPTBot, creating citable content, managing mentions in authoritative sources and ensuring the accuracy of company data in the OpenAI knowledge base.
GPTBot is OpenAI's official crawler that collects content for ChatGPT training and indexation. If GPTBot is blocked in robots.txt, site pages do not enter ChatGPT's knowledge base. Allowing GPTBot on key pages is the first step of optimization. You can check this in a minute: open your site's robots.txt and look for the GPTBot line.
No, and anyone who gives such a guarantee is misleading you. ChatGPT generates answers dynamically and they cannot be controlled. We increase the probability of your brand appearing by creating the right signals: citable content, authoritative mentions, accurate data. Progress is measured against a list of real customer questions, not against promises.
Traditional SEO works with ranking in Google and Yandex search algorithms. ChatGPT optimization works with how the language model absorbs and reproduces information: sources, citability, data structure and external mentions. The methods partially overlap but the goals differ. In practice the same page can rank well and still never be cited.
llms.txt is a file on your site with key company data and instructions for language models. It helps ChatGPT and other AI systems correctly understand what the business does, what services it offers and how to contact it. Implementation takes a few hours and sends a direct signal to AI crawlers.
Yes. After each major OpenAI model update (GPT-4o, o3 etc.) it is worth checking how the assistant describes your brand and adjusting sources. We recommend an audit quarterly or after significant business changes. The check takes a day and shows what has changed in how the brand is described.
Yes, in a good way: citable content, structured data and authoritative mentions work for both Google AI Overviews and traditional SEO. The synergy between AI SEO and classic SEO is real: a well-built page ranks well and gets cited by AI.
We run the project in Russian, Spanish and English. We deliver documentation, instructions and reports in your preferred language, and support too. We check the assistant's answers separately in each language, because the model answers differently in each one. Texts for the sources are written by a person who knows the market's language.
Technical audit and basic setup (robots.txt, llms.txt, JSON-LD) takes 1-2 weeks. Work with external sources, mentions and content requires up to 90 days for first visible results. Ongoing maintenance is continuous work. Pages the OpenAI bots already crawl are picked up fastest, so access is checked first.
We regularly check manually and with monitoring tools how the assistant answers target queries about the brand and niche. We track mention frequency, accuracy of company description and presence in answers on recommendation queries. The question list is fixed at the start so the same thing is compared month to month.
