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Ikerfel GEO Audit: What does artificial intelligence say about your brand?

We introduce Ikerfel GEO Audit, a new research solution designed to understand how leading AI models represent, position, and recommend a brand—and what actions can strengthen its visibility and relevance.

More and more people are using artificial intelligence assistants like ChatGPT, Gemini, or Claude to gather information, compare alternatives, and request recommendations about companies, products, and services.

These new search environments go beyond delivering a simple list of links. The models generate a direct response, deciding which brands to mention, how to describe them, which attributes to associate with them, and against which competitors to evaluate them. As a result, artificial intelligence is gaining growing influence over brand perception and the information and decision-making processes.

In light of this new scenario, we present Ikerfel GEO Audit, a research service specifically developed to analyze a brand’s visibility and positioning across the main artificial intelligence models.

What is a GEO audit?

GEO—Generative Engine Optimization—refers to strategies aimed at improving an organization’s presence and relevance within responses generated by AI models.

Ikerfel GEO Audit makes it possible to discover whether a brand appears when users make queries related to its market, where it stands relative to its competitors, what attributes are assigned to it, and in which scenarios it is recommended.

The analysis answers questions such as:

  • Does the brand appear in queries relevant to its category?
  • How frequently and in what position is it mentioned?
  • Which competitors have a stronger presence?
  • What image, capabilities, and key differentiators do the models attribute to it?
  • In what situations is it recommended, and with what arguments?
  • Which digital sources influence the generation of these responses?
  • What information gaps might be limiting its visibility?

A systematic and comparable methodology

The audit begins by defining the scope of analysis together with the client: the brand, its business lines, key competitors, and the most relevant search needs.

Based on this framework, Ikerfel designs a representative bank of prompts and executes them across various artificial intelligence models. The tests are repeated to control for response variability and identify consistent patterns.

Afterward, the responses are coded and transformed into metrics that measure brand presence, share of visibility, competitive position, recommendation power, associated image, differentiation, and overall brand consistency.pacidad de recomendación, la imagen asociada, la diferenciación y la consistencia de la marca.

From diagnosis to action

The goal of Ikerfel GEO Audit is not merely to describe how a brand appears in artificial intelligence, but to explain why it receives that representation and what it can do to improve it.

The diagnosis yields concrete recommendations covering brand positioning and messaging, proprietary content, presence in external sources, information structure and accessibility, and ongoing performance monitoring.

In this way, organizations gain a clear benchmark of their current standing and a structured roadmap to strengthen their presence in increasingly vital search and decision-making environments.

Ikerfel’s expertise applied to a new landscape

A GEO audit requires more than running queries across different tools. It demands proper analysis design, contextualizing responses within the competitive landscape, and translating results into actionable decisions for the brand.

Ikerfel brings its extensive expertise in market research, positioning, reputation, competitive analysis, social listening, and unstructured data processing to this new field.

Artificial intelligence is already talking about brands. Ikerfel GEO Audit reveals what it is saying, how it represents them, and what can be done to boost their visibility and relevance.

Want to discover how your brand appears across the top AI models? Let’s talk.

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