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LLM SEO & Generative Engine Optimization

LLM SEOGenerative Engine OptimizationAI Citation Strategy

LLM SEO & Optimización de Motor Generativo

Consigue Citas en Respuestas de IA, No Enterrado

73%

AI Citation Rate

Avg. client improvement

LLM Platforms

ChatGPT, Perplexity, Gemini, Claude, Copilot, SearchGPT

40+

Entity Signals

Per optimization cycle

30 days

First Results

Typical citation visibility

What Is Generative Engine Optimization (GEO)?

Generative Engine Optimization (GEO) is about structuring your website's content, technical markup, and entity authority so large language models — ChatGPT, Perplexity, Gemini, Claude — cite your brand when they generate answers. Traditional SEO chases blue links. GEO targets the AI synthesis layer, where LLMs decide which sources to select, attribute, and quote.

Dónde fallan los proyectos

Your competitors are getting cited by ChatGPT Your brand isn't showing up at all. That's an entire traffic channel you're losing as users move away from Google and toward AI-generated answers.

Traditional SEO rankings don't carry over to LLM citations A page-one ranking doesn't mean much when users never click through to search results in the first place.

Your content doesn't have the structured entity signals LLMs need to work with Without clear signals, AI models can't attribute expertise to your brand — so they cite whoever made it easier.

There's no way to measure AI citation performance right now You're guessing while competitors quietly build visibility in generative results.

Your schema markup is outdated or nonexistent LLMs can't parse your authority, your authorship, or what your site is actually about.

Your content was written for humans and Google — not for LLM retrieval AI models skip your pages because they don't find the concise, quotable, fact-dense passages they're looking for.

Cumplimiento

Entity Authority Building

We build and reinforce your brand's knowledge graph presence across Wikidata, Google Knowledge Panels, and structured entity references. LLMs trust brands with strong, consistent entity signals — so that's what we give them.

Structured Data Architecture

We handle deep JSON-LD implementation: Organization, Person, FAQPage, HowTo, and custom schemas where needed. Every piece of content becomes machine-readable and attribution-ready.

AI Citation Monitoring

We track citations across ChatGPT, Perplexity, Gemini, Claude, and Copilot using our own proprietary process. Monthly reports cover citation frequency, context, and how you stack up against competitors.

Quotable Content Engineering

We restructure existing content and build new pages around concise, fact-dense passages — the kind LLMs prefer to quote. Every paragraph gets optimized for extractive summarization.

Topical Authority Mapping

We audit your content graph and close the gaps so LLMs recognize your site as an authority on your core topics. The cluster architecture is built with retrieval-augmented generation in mind.

Source Credibility Signals

Author pages, credential markup, citation networks, trust signals — these are the things LLMs actually look at when deciding which sources to reference. We make your expertise machine-verifiable.

Qué construimos

LLM Citation Audit

We query six major AI platforms using your target topics and map exactly where your brand appears, how often, and how that compares to competitors.

Answer Engine Content Strategy

Content briefs and page structures built specifically for LLM retrieval: quotable blocks, definitive statements, entity-rich context throughout.

Knowledge Graph Optimization

Wikidata entries, Google Knowledge Panel claims, cross-platform entity consistency — all of it works together to strengthen your brand's machine-readable identity.

Schema Markup Overhaul

JSON-LD across your entire site, covering 15+ schema types relevant to AI content extraction.

Competitor Citation Analysis

Monthly benchmarking of which competitors get cited, for which queries, and what content patterns are driving their visibility.

RAG-Optimized Technical SEO

Crawlability, content chunking, semantic HTML, internal linking — all optimized for retrieval-augmented generation pipelines.

Nuestro proceso

AI Citation Audit

We run your brand through 200+ queries across ChatGPT, Perplexity, Gemini, Claude, and Copilot. You get a baseline citation report showing exactly where you stand and where competitors are pulling ahead.

Week 1

Entity & Schema Architecture

We map your brand's entity graph, fix inconsistencies, claim knowledge panels, and build a structured data layer from the ground up. This is the foundation LLMs need to recognize your authority.

Weeks 2-3

Content Engineering

We restructure existing pages and create new content with quotable passages, definitive answers, and fact-dense formats. Every page gets an AI-extraction optimization pass before we're done with it.

Weeks 3-5

Technical Implementation

JSON-LD deployment, semantic HTML cleanup, internal link architecture, crawl optimization. We ship the technical changes that make your content machine-parseable at scale.

Weeks 5-7

Monitor & Iterate

Ongoing citation tracking across all major AI platforms. Monthly reports show citation frequency, new query coverage, and the content adjustments we're making based on what's actually working.

Ongoing

Next.jsSchema.orgJSON-LDVercelGoogle Search ConsoleAhrefsCustom Entity Graphs

Preguntas frecuentes

¿Qué es optimización de motor generativo (GEO)?

GEO es la práctica de optimizar tu sitio web para que sistemas de IA como ChatGPT, Perplexity y Gemini citen tu marca en sus respuestas generadas. Reúne datos estructurados, autoridad de entidad e ingeniería de contenido para hacer que tus páginas sean la fuente preferida cuando los LLMs sintetizan respuestas. Es una disciplina separada del SEO tradicional — relacionada, pero no lo mismo.

¿Cómo es el LLM SEO diferente del SEO tradicional?

El SEO tradicional se trata de posicionarse en los enlaces azules de Google. LLM SEO se trata de conseguir citas en respuestas generadas por IA en múltiples plataformas. Las señales son diferentes — los LLMs se importan más por autoridad de entidad, contenido citable, marcado estructurado y credibilidad de fuente que por volumen de backlinks o densidad de palabras clave. Ambos importan, pero necesitan estrategias diferentes detrás.

¿Pueden garantizar que mi marca será citada por ChatGPT?

Ninguna agencia puede garantizar citas específicas de IA. Los resultados de LLM son probabilísticos por naturaleza. Lo que podemos garantizar es implementar cada señal conocida que aumenta la probabilidad de cita: datos estructurados, gráficos de entidades, contenido citable, autoridad de fuente. La mayoría de nuestros clientes ven mejoras de cita medibles en 30 a 60 días.

¿Cómo rastrean las citas de IA?

Ejecutamos consultas sistemáticas en ChatGPT, Perplexity, Gemini, Claude, Copilot y SearchGPT usando tus temas objetivo y comparaciones competitivas. Registramos frecuencia de cita, contexto y fraseología exacta cada mes. Obtienes un panel mostrando tendencias, nuevas citas, citas perdidas y dónde se están moviendo los competidores.

¿Todavía necesito SEO tradicional si hago GEO?

Sí — y esto vale la pena entender. Muchos sistemas de IA extraen de resultados de búsqueda web como parte de su pipeline de recuperación, así que el SEO tradicional sólido alimenta directamente la visibilidad de LLM. GEO no reemplaza SEO; se superpone. Nuestras implementaciones técnicas están diseñadas para beneficiar ambos canales al mismo tiempo.

¿Cuánto tiempo antes de ver resultados de optimización de motor generativo?

La mayoría de clientes ven mejoras de cita inicial en 30 días, particularmente en Perplexity y Gemini, que actualizan sus índices de recuperación con más frecuencia. Las citas de ChatGPT pueden tomar más tiempo dependiendo de ciclos de datos de entrenamiento. Los resultados se componen durante 3 a 6 meses de monitoreo e iteración continua.

LLM SEO & GEO from $8,000

Fixed-fee engagement. Monthly retainer available for ongoing citation monitoring.

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Next.js Development Core Web Vitals Optimization Core Web Vitals Complete Guide 2026

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