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How to optimize for generative engines: the strategic evolution that every brand must assume

The transition from traditional SEO to generative engine optimization redefines how brands gain visibility in an environment dominated by AI. The emergence of generative artificial intelligence forever changed the way users search for information. Today, tools like ChatGPT, Gemini, Perplexity and Copilot not only complement the…

Francisco Nuñez / Nov 2025
How to optimize for generative engines: the strategic evolution that every brand must assume

The transition from traditional SEO to generative engine optimization redefines how brands gain visibility in an environment dominated by AI.

The emergence of generative artificial intelligence forever changed the way users search for information. Today, tools like ChatGPT, Gemini, Perplexity and Copilot not only complement traditional search engines: they replace them in millions of queries. In this scenario, maintaining corporate visibility requires going beyond classic SEO and integrating a Generative Engine Optimization (GEO) approach, a strategy aimed at ensuring that the brand is detected, understood and cited by AI-based systems.

The evidence confirms it. A Gartner study projects that by 2026, 30% of web browsing sessions will be executed without screens, powered by assistants and AI models. And McKinsey anticipates that natural language-based search will reduce organic traffic from traditional engines by up to 40%. This requires immediate adaptation: brands that do not integrate GEO run the risk of disappearing from the responses generated by AI, even if they currently occupy the top positions in search engines such as Google.

The rise of generative engines and the new visibility model

Unlike traditional SEO, which focuses on keywords, links, and domain authority, generative models prioritize entities, semantic relationships, context patterns, and narrative consistency. LLMs (Large Language Models) do not index: they interpret. They do not classify: they recover. And they don't respond by showing a list of links: they respond by synthesizing information from multiple sources.

This means that visibility depends on three critical factors:

Brands that do not optimize for these criteria will see their presence decline in AI-generated responses over the next five years.


Three pillars to optimize your brand in generative engines

1. Entity-based optimization

AI needs to understand your brand as a concept, not as a collection of keywords. To achieve this:

2. Increases recovery capacity (Retrievability)

Generative engines need to access, read and understand your information.

3. Prioritize mentions over backlinks

Unlike classic SEO, in GEO the most valuable thing is not the link, but the contextual mention.


Specific strategies according to each generative engine

Each AI ecosystem requires a particular approach.

ChatGPT

Google AI Overviews and Gemini

Perplexity

Microsoft Copilot


Integrating SEO + GEO: the hybrid approach that will dominate the market

GEO within the site (On-page)

GEO off-site (Off-page)

technical GEO


In a scenario where AI defines what information is displayed, how it is responded to, and which brands remain visible, the integration between SEO and GEO is not a trend: it is a competitive imperative. Adapting your brand to the way generative models learn, cite, and retrieve information will determine who will be relevant in the future.

At Altavoz Comunicaciones we accompany organizations in the transition towards visibility strategies aligned with the new logic of generative engines, integrating corporate communication, SEO and digital positioning to maximize impact.

FR
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