GEO
Artificial intelligence models are now an integral part of how people search.
We analyse how language models interpret a company’s online presence. We then define an operational strategy to make your brand more recognisable, more quotable and more authoritative in AI-generated answers.
Being present in search engines is no longer enough. A brand also needs to be cited by artificial intelligence models in order to stay relevant in its market. If the information available online is incomplete, inconsistent or lacking in authority, generative models may return a partial or distorted picture: descriptions that are out of date, or references that in fact belong to other brands.
GEO (Generative Engine Optimization) consultancy is first and foremost a strategic assessment. We check how present the brand is in language models using a bespoke dataset, identifying opportunities for growth, problem areas and benchmarks against competitors.
GEO consultancy turns the analysis of a brand’s presence in AI models into concrete guidance, operational priorities and opportunities for growth.
We check how the brand is represented in AI-generated answers, identifying any gaps and any opportunities to increase its visibility.
We compare the brand with its competitors to establish who covers the strategic queries best in AI answers, and where there is room for growth and differentiation.
We identify the areas in which content, information structure and authority signals could be improved, so that the brand becomes more quotable and more trustworthy.
We translate the analysis into operational priorities, objectives and concrete measures, building a roadmap of optimisations consistent with the context of the brand and of the market.
We connect SEO, content strategy and visibility in generative engines within an integrated approach, in order to improve the brand’s presence.
GEO consultancy follows a structured process. We start from an analysis of the initial situation: we establish how AI systems describe the brand, which sources they use and which gaps are limiting its visibility.
We analyse current positioning, the structure of the site and its semantic coverage. We compare these elements with the main competitors in order to define measures calibrated to the specific characteristics of the brand, the sector and the target audience.
We analyse the brand within language models: how quotable it is, the conversational queries for which it appears, the information returned, the sources taken into account and the competitive framing. The aim is to understand what LLMs say about the brand. In the GEO audit we identify the discrepancies between the company’s actual positioning and the representation generated, the reliable sources, and any cases of ambiguity or hallucination.
Once the analysis is complete, we define the GEO strategy with its priorities, objectives and areas of intervention. We identify the subjects and queries to cover, the authority signals to strengthen, the content to update or create and the sources that can improve how the brand is represented in generative engines.
We translate the strategy into targeted technical and semantic work. We act on the crawlability of the site, on the consistency of the information, on the structure of the pages, on performance and on Core Web Vitals.
GEO optimisation calls for continuous monitoring. This is why we have developed proprietary software able to detect the presence of a brand in the main AI models. A data-driven approach makes it possible to adapt the strategy in line with results, with the evolution of the models, with the appearance of new competitors and with the volatility of sources.
We work with national and international companies, B2B and B2C brands, e-commerce businesses and public sector organisations. What they have in common is the objective: to improve how they are represented in language models, making that representation clearer, more consistent and more verifiable.
Generative Engine Optimization is the discipline of optimising a brand’s online presence so that it can be found more easily by large language models (LLMs) such as ChatGPT, Perplexity, Gemini and Claude.
The main benefits concern visibility, reputation and competitive positioning: a stronger brand presence in AI-generated results, a wider audience reached, protection of online reputation and reinforced authority. A more solid presence in LLM answers also allows a brand to stand out from its competitors and build a competitive advantage in its sector.
Yes. Good SEO rankings are a starting point, but they are no guarantee that the brand will be cited by LLMs. Generative engines may draw on third-party sources — comparison content, directories, editorial articles — or cite competitors if they judge them to be clearer and more authoritative.
No: no reputable professional can guarantee a stable presence in every answer an AI model gives. What can be done is to increase the likelihood of being understood, cited and represented correctly. We work on content, sources, entities, authority and informational consistency so that the brand becomes a recognisable reference point for language models.
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We analyse the starting context and identify the strategy geared to your objectives.