Ask ChatGPT
Ordenando señales públicas: entidad clara, contenido citable, reputación, datos estructurados, menciones, rastreo y medición.
It will open with the prompt already prepared.
Artificial Intelligence visibility
Artificial Intelligence visibility is not about forcing ChatGPT, Gemini, Perplexity or Google's AI experiences to recommend a company. It means preparing the website, content and public signals so those systems can understand who you are, what you do, where you operate and why you are a reliable option.
Yagle works on signals that can be controlled: crawler access, clear architecture, structured data, brand entity, verifiable content and measurement. The aim is to reduce ambiguity and improve the chances of being cited or included when a customer compares providers, services or solutions in Mallorca.
Service objective
Our approach covers technical access, crawlers, brand entity, citable content, structured data and tests that reveal whether assistants such as ChatGPT, Gemini or Perplexity understand a brand correctly.
AI technical access
A website can load perfectly for a human visitor while being partially closed to Google, ChatGPT, Perplexity, Claude or other discovery systems. This review explains what we check before blaming the content.
Signals for AI
An AI platform does not understand a company just because the website exists. It needs access, coherent signals, verifiable content and enough context to know what the brand does and when it makes sense to cite it.
Brand understanding
It is not enough for a brand to appear when someone types its name. We review whether ChatGPT, Gemini and Perplexity understand services, location, differentiation, reputation and use cases while the user is still comparing options.
AI visibility
AI visibility is not appearing by chance in an answer. It means organising signals so a company is understandable, verifiable and citable when customers in Mallorca search in Google, ChatGPT, Perplexity, Gemini or other assistants.
1. Technical access
Robots.txt, sitemaps, llms.txt, HTTP status codes, Cloudflare/WAF, canonicals, hreflang and the signals that allow or block crawling.
2. brand entity
Name, activity, location, team, experience, services, contact details, external profiles and consistency across public mentions.
3. Structured data
Schema.org for the organisation, local business, services, FAQs, informative content, breadcrumbs and key pages, without incomplete or conflicting JSON-LD.
4. citable content
Clear information by service, problem, sector, location, indicative pricing, process, frequently asked questions, use cases and alternatives.
5. Authority and reputation
Reviews, Google Business Profile, links, media, associations, cases, testimonials and external signals that make the brand verifiable.
6. Measurement
Logs, referral traffic from assistants, conversational queries, AI answer mentions, share of voice, indexing and tasks prioritised by impact.
The search journey no longer ends with a list of results. A customer may ask ChatGPT, compare options in Perplexity, use Google's generated answers, open Copilot or request a recommendation on a phone. Each platform uses different sources and systems, but all of them need clear and accessible information.
We therefore treat the website as the primary source while also reviewing external signals: profiles, reviews, mentions, editorial content, directories, local information and brand consistency.
Platforms reviewed
Technical status, crawling, indexing, WAF, schema, content, entity and platform opportunities.
Impact-based priorities for code, content and external signals.
Robots, sitemaps, llms.txt, metadata, JSON-LD, internal links, visible content and access fixes.
Change control, test queries, traffic, mentions, editorial opportunities and periodic adjustments.
No. It uses part of the technical SEO foundation, but also focuses on brand entity, citable content, structured data, reputation, external sources and measurement in conversational answers.
It helps make the business easier to understand and find when ChatGPT or other systems use web sources. There is no absolute guarantee because answers depend on the query, location, context and available sources.
Yes, when they address a real intent: services, sectors, locations, comparisons, FAQs and use cases. The goal is not volume but complete, useful information.