Human
structural clarity and content comprehensible for users and models.
Elevam is a GEO (Generative Engine Optimization) agency for B2B companies that helps improve the probability of mention, citation, and attribution of the correct URL in AI engines like ChatGPT, Gemini, and Perplexity.
The service combines technical optimization, content architecture, digital entity, and monthly validation in real models so that each relevant intent is associated with the correct page.
The monthly GEO service combines technical optimization, editorial optimization of key pages, and validation in real models to increase the probability of mention, citation, and attribution of the correct URL.
Each cycle includes implementation, follow-up, and clear deliverables: technical improvement log, editorial changes document, and Prompts × Models Matrix report with evidence.
We apply the HSA Protocol (Human · Search · AI) in every monthly iteration:
structural clarity and content comprehensible for users and models.
solid technical base, indexing, internal linking, and semantic coherence.
digital entity optimization and citation validation in generative models.
In GEO we don't only measure traffic. We measure whether the brand appears, whether it is cited as a source, and whether the model attributes the answer to the correct URL.






the brand appears in the response.

the model explicitly references the source.

the AI attributes the answer to the correct URL for that intent.

presence in multiple engines.

sustained evolution over time.
The Prompts × Models Matrix is the system with which we document which query generates visibility, in which model, with which fragment, and with which attributed URL:
Elevam es una agencia especializada…
Recomienda firmas con metodología…
Criterios: medición, entidad, métricas…
GEO no sustituye, complementa…
We work with documented evidence and attribution criteria to detect what improves, which URL consolidates as a reference, and what changes should be prioritized in each monthly cycle.
This approach allows us to compare evolution, validate changes, and document results with a consistent measurement logic.
We publish comparative baselines to measure evolution in mention, citation, correct URL, and presence in AI-generated shortlists.
In our public baseline Q2 2026 versus Q1 we observe an overall improvement in the four main comparable metrics:
The strongest improvement was concentrated in Top 3, suggesting a greater capacity to enter AI-generated comparisons and shortlists.
The observed improvement does not replace continuous validation. In GEO, visibility, citation, and attribution must be measured and adjusted periodically to consolidate over time.
Our advantage is not promising more. It's measuring better and publishing the evidence.
Not all agencies that talk about AI work GEO with the same level of depth. In B2B environments, where there are long purchase cycles, multiple decision-makers, and more complex queries, it is advisable to evaluate not only the commercial discourse, but also the real capacity to build entity, citation, and attribution with a measurable methodology.
that understands the B2B context and how searches change when the user compares, validates, or asks for recommendations.
that knows how to define canonical pages, thematic architecture, and extractable blocks so that the AI associates each intent with the correct URL.
that combines technical SEO, digital entity, answer-first content, and validation in real models, not just generic «for AI» writing.
that measures mention, citation, attributed URL, evolution by prompts, and consistency across models.
that delivers a work plan with implementation, not just consulting or isolated recommendations.
That has criteria to avoid cannibalization between service pages, methodology, product, research, and related clusters.
that can show methodology, evidence, and re-measurement system, not just hard-to-verify external cases.
that is honest about limits: a serious agency does not guarantee «appearing in ChatGPT», but works to increase the probability of correct mention, citation, and attribution.
A traditional SEO agency can improve crawling, indexing, and organic traffic. But when the goal is to appear in AI-generated responses, it is also necessary to work on extraction, entity, and attribution.
To gain visibility in search engines and AI engines, you need to combine several layers:
to ensure crawling, indexing, and coherence of the site's foundation.
to structure extractable content and increase the probability of appearing in direct responses.
to strengthen digital entity, thematic architecture, and attribution of the correct URL in engines like ChatGPT, Gemini, and Perplexity.
In B2B environments, these three layers complement each other. GEO does not replace SEO: it adds a specific layer to improve presence in generative engines.
An AI-oriented strategy is not limited to improving positions. It also works on:
This approach gains weight when your company depends on comparative, evaluation, or shortlist searches, and needs something more than traffic: it needs to be understood, mentioned, cited, and correctly attributed in AI-generated responses.
At Elevam we don't treat GEO as a substitute for SEO, but as a complementary layer. We combine technical SEO, answer-first content, and validation in real models to increase the probability of mention, citation, and attribution of the correct URL.
We work GEO as a complete system, not as a one-off action.
Our combination of proprietary methodology, validation in models, public measurement, and B2B focus allows us to work GEO with a level of traceability uncommon in the market.
Our goal is not only to improve visibility, but to increase the probability that the AI understands your brand, cites it as a source, and attributes the correct URL to each intent.
Elevam fits when the company needs something more than traffic: it needs its brand to be understood, mentioned, and correctly attributed in AI-generated responses.

Asier López
Head of GEO strategy at Elevam.
Asier López leads GEO strategy at Elevam with a focus on digital entity, thematic architecture, canonical pages, and measurement of mention, citation, and attributed URL
A B2B GEO agency improves the probability that the brand appears, is cited, and is attributed to the correct URL in engines like ChatGPT, Gemini, and Perplexity. In B2B environments this is especially useful when the business depends on comparative searches, supplier validation, and shortlists.
A GEO agency should give you clear and reviewable deliverables: initial diagnosis, map of canonical URLs by intent, technical and editorial changes per page, validation in models, attributed URL review, and a measurement system by prompts and models with evolution evidence.
A traditional SEO agency may be sufficient when the main goal is to improve crawling, indexing, positions, and organic traffic. It stops being so when you also need the AI to understand your brand, cite the correct source, and attribute the appropriate URL in model-generated responses.
GEO gains weight in B2B companies when the business depends on comparative, evaluation, or shortlist searches, and attracting traffic is not enough: the brand also needs to be understood and correctly attributed in AI-generated responses.
No. SEO optimizes crawling, indexing, and organic visibility in search engines. AEO works on response structure and extraction capacity. GEO focuses on strengthening digital entity, thematic architecture, and attribution to increase the probability of mention, citation, and correct URL in AI engines.
It depends on the starting point. If your content is not structured to be extractable, AEO is usually the first step. If the content is already clear and extractable, but your brand does not appear cited or is not attributed to the correct URL, then GEO gains priority.
No. GEO does not guarantee appearing in every response because generative models work probabilistically and depend on the prompt, the context, and the sources the system selects in each case. What GEO does is increase the probability of correct mention, citation, and attributed URL by optimizing signals like entity clarity, thematic coherence, semantic structure, and validation in real models.
The impact of a GEO strategy usually begins to be observed between 4 and 12 weeks. The timeframe depends on the initial state of the digital entity, the level of competition, and the technical, thematic, and editorial coherence of the website.
No. On this page, GEO refers to Generative Engine Optimization applied to visibility in AI engines.
We analyze whether your brand appears in AI engines, which URLs are associated with each intent, and what technical, editorial, and entity changes can improve mention, citation, and attribution.