Schema Markup AI: Structured Data for LLMs and GEOs

Curious – Digital – Engaged

Speak the language that AIs understand.

Advanced structured data: We implement specific JSON-LD schemas so that AI models can correctly interpret who you are, what you do, and why you are relevant.
Priority indexing: Correct semantic markup makes it easier for generative engines to process and prioritize your content over that of the competition.
Visibility in rich results: A well-implemented Schema improves your presence in Google SGE and in the responses generated by LLMs such as ChatGPT or Perplexity.
Consistency between web and AI: We ensure that what your website says and what the AI understands about your company are exactly the same.
Technical basis for the entire GEO strategy: Without a solid Schema Markup, all other GEO actions lose effectiveness. It is the mandatory starting point.

We implement advanced structured data marking so that AI engines and language models interpret your company as a source of reference in your sector.

Language models don’t read your website the way a person would. They process signals, relationships between concepts, and data structures to decide which sources are reliable and deserve to be cited. If your website doesn’t speak the technical language that AI understands—Schema Markup, JSON-LD, consistent structured data—you’re leaving it to chance whether or not you appear in the results your potential customers get from ChatGPT, Gemini, or Perplexity.

Step – 1

Audit of current market conditions and detection of gaps

We analyze the current state of your website’s Schema Markup: which schemas are implemented, which are missing, which have errors, and what opportunities are being missed in relation to generative search engines.

Step – 2

Design and implementation of JSON-LD schemes

We develop and implement the most relevant structured data schemas for your business and sector, focusing on the types that have the greatest impact on interpretation by LLMs and on the enriched results of Google SGE.

Step – 3

Validation, monitoring, and continuous updating

We verify that the schemes are implemented correctly, monitor their performance in validation tools and search engines, and update the markup when there are changes in the business or in the standards of generative engines.

Audit of existing structured data

We reviewed all of the website’s current Schema markup, identifying implementation errors, outdated schemas, and untapped opportunities that are limiting visibility in generative search engines and rich results.

Implementation of organizational and entity schemes

We configure the schemas that define who your company is —Organization, LocalBusiness, Corporation— with all the necessary attributes so that Google and LLMs can identify you as a clear and verifiable entity in your sector.

Services and Products Scheme

We structure each service or product with the corresponding schemas so that the generative engines understand exactly what you offer, to whom and in what context, making it easier for your offer to appear in relevant responses.

Content markup and authorship

We implement Article, BlogPosting, and Person schemes to reinforce authorship authority (E-E-A-T) and help LLMs identify your content as produced by verifiable experts on the subject.

FAQ Schema oriented to generative search

We structured the FAQs with Schema FAQs specifically designed to answer the questions that B2B decision-makers ask AI assistants, increasing the likelihood that your content will be the source of the answer.

Technical validation and continuous monitoring

We verify the correct implementation with Google Rich Results Test and Schema Validator, monitor the performance of the schemas in Search Console, and update the markup in response to changes in standards or business structure.

What is Schema Markup and why does it matter for AI?Sofía Castillo2026-06-29T14:53:38+00:00

What is Schema Markup and why does it matter for AI?

Schema Markup is a set of code tags added to a website to describe its content in a structured and understandable way for search engines and AI models. Without this markup, AIs have to interpret content based on context, increasing the risk of errors, confusion, or simply ignoring your website as a reference source.

Does Schema Markup only affect Google or also LLMs like ChatGPT?Sofía Castillo2026-06-29T14:54:06+00:00

Does Schema Markup only affect Google or also LLMs like ChatGPT?

It affects both. Google uses Schema Markup for rich results and Search Generative Experience (SGE), while LLMs like ChatGPT, Perplexity, and Gemini use structured data to identify trusted sources and verified entities. Effective Schema Markup improves visibility across all these channels simultaneously.

Is it necessary to modify the website code to implement Schema Markup?Sofía Castillo2026-06-29T14:54:27+00:00

Is it necessary to modify the website code to implement Schema Markup?

Yes. Schema Markup is implemented using JSON-LD code, which is added to the head or body of the corresponding pages. Most CMS platforms, such as WordPress, offer plugins that simplify part of the implementation, but advanced and GEO-specific schemas require manual technical configuration to ensure proper execution.

How long does it take to see the impact of a well-implemented Schema Markup?Sofía Castillo2026-06-29T14:54:42+00:00

How long does it take to see the impact of a well-implemented Schema Markup?

The impact on Google’s rich results can be seen within a few weeks after proper implementation and validation. The effect on citations in LLMs is more difficult to measure precisely, as it depends on the crawling and indexing cycles of each model, but a solid implementation generates cumulative results in the medium term.

Which types of Schema are most relevant for a B2B company?Sofía Castillo2026-06-29T14:54:56+00:00

Which types of Schema are most relevant for a B2B company?

The most important B2B tags are Organization, Service, FAQPage, Article, Person, and BreadcrumbList. These are complemented by more industry-specific tags—such as ProfessionalService or EducationalOrganization—and technical tags like SiteLinksSearchBox or speakable, which have a direct impact on visibility in generative search engines.

Does Schema Markup replace traditional SEO?Sofía Castillo2026-06-29T14:55:10+00:00

Does Schema Markup replace traditional SEO?

No, it enhances it. Schema Markup is a technical layer that complements on-page SEO, content, and domain authority. Without a solid SEO foundation, Schema alone isn’t enough to rank. But without Schema, even a well-ranked site can lose visibility to competitors who have their structured data properly implemented.

What do you gain from a well-implemented Schema Markup?

You go from being just another website in the digital ecosystem to being a structured source that AI engines identify, interpret, and cite as a reference in your sector.

Increase the likelihood of appearing in ChatGPT, Gemini, and Perplexity responses to queries in your industry.
Improve visibility in Google’s rich results and Generative Search Experience.
Strengthen your brand’s authority as a verifiable and trusted entity for LLMs.
Reduce the risk of hallucinations or incorrect information about your company in AI responses.
To lay the technical foundations on which to build the rest of the GEO strategy.

Are AIs correctly interpreting who your company is and what it offers?

We’ll audit your current Schema Markup with everything you need to know to improve your visibility in generative search engines.

Evaluation of existing structured data markup
Detecting errors, gaps, and untapped opportunities
Priority schemes identified for your sector and business
Clear and prioritized recommendations