Language models don't index pages. They index meaning.

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If your information architecture isn't semantically structured, you don't exist for ChatGPT, Perplexity or Claude - even if you have the best content in your sector.

You need AEO (Answer Engine Optimization): the linguistic engineering to become the answer AI chooses — in search, and as the source agentic AI relies on when it acts.

The problem

By 2026, over half of all searches will be answered without a click (SparkToro, 2024). Language models don't return links - they return answers. If your brand isn't in that answer, you don't exist for that query.

The problem isn't your content; it's your semantics. Language models process entities, relationships and context. If your information architecture isn't structured for a model to interpret correctly, you either don't appear - or you appear wrong.

AI search doesn't crawl. It reasons. And it reasons from language - from entities, Knowledge Graph relationships, and Schema Markup, not from page rank.

Services

AEO/GEO Audit

Language models don't see your website the way Google does. If no one has audited how they interpret you, you don't know whether you exist for them - or how.

I review your complete semantic presence and deliver a diagnosis with a prioritized checklist of what to do. My approach goes beyond content: I analyze the infrastructure of meaning that lets LLMs trust your brand.

What does the audit cover?
  • Brand Interpretation: How models see you today - whether they understand you or confuse you with the noise.
  • Semantic Information Architecture: Whether your structure lets an answer engine process it correctly.
  • Knowledge Graph & Entities: Technical definition of your entities and their relationships to eliminate ambiguity.
  • Advanced Schema Markup: Designing the markup that tells the model exactly what it needs to know.
  • LLMS.txt Configuration: Building and optimizing this standard to guide AI search agents.

AEO/GEO Automation

Semantic monitoring and optimization for LLMs is repetitive technical work - and it automates precisely when there's an agentic design behind it.

I design specialized agents that automate your generative visibility:

  • Brand Perception Audit Agents
  • Semantic Schema Generation Agents
  • LLMS.txt Optimization Agents
  • Generative Gap Analysis Agents

Frequently asked questions

How is AEO different from traditional SEO?
Traditional SEO optimizes for a ranking algorithm looking for relevance in a list of links. AEO optimizes for a model looking for understanding. It's not about ranking a URL - it's about having the model internalize your entities and authority so it includes you in its generated response.
Why does the LLMS.txt file matter?
It's an emerging standard for AI discoverability. Just as robots.txt guides search crawlers, /llms.txt gives AI agents a clean, structured, prioritized version of your knowledge - making your website easier to process accurately. Adoption by major LLM providers is still limited, but it's the right signal to send: a site that speaks AI is a site that gets processed correctly.
If I already have Schema Markup, am I doing AEO?
You have a foundation, but AEO requires a much deeper Knowledge Graph design. Saying "this is a product" is not enough - you need to establish the semantic relationships that let an LLM reason about your catalog or services with the same precision an expert on your team would.

About

Elena Benito Ruiz

Fifteen years in technical digital marketing: SEO, schema markup, semantic architecture, AEO. The same question applied at different scales - how do algorithms interpret meaning, and what happens when they don't.

Degree in Linguistics. Fulbright Scholarship, Wheaton College (Massachusetts) - research in how language impacts meaning when mediated by machines. Schema markup was always structured semantics for crawlers. AEO is the same work for a generation of search that reasons instead of ranks.

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