Search Intelligence · SEO · GEO · AEO
Sageo Estudio is a Search Intelligence practice: we research, measure and optimize how a brand is found, interpreted, recommended and cited by traditional search engines, answer engines, generative systems such as ChatGPT, Gemini or Perplexity, and AI-driven search experiences.
Free initial diagnosis · No minimum commitment · Reports with interpreted analysis, not only charts
How your brand appears in traditional search results
How the systems that build automatic answers interpret it
When and why they recommend you over other options
Which sources cite you and how consistently they sustain that mention
The cycle
Search Intelligence does not start by executing tasks: it starts by understanding what is happening. Every intervention rests on a previous measurement and closes with a new one. Without that comparison, any decision is a bet.
How the brand appears and is interpreted today, in search engines and in AI systems.
How visible it is to users, search engines and generative systems, with comparable data.
Which factors explain its presence or its absence, and which ones are truly actionable.
Content, entities, architecture, authority and technical signals that sustain visibility.
Compare the evolution, verify the hypothesis and detect new opportunities.
The cycle repeats on every iteration
The three layers
SEO, AEO and GEO are not three loose services: they are three layers of the same visibility problem. Worked on separately they compete with each other; worked on the same methodology they reinforce each other.
The foundation: that search engines can crawl, understand and index the site, and that the content answers the searches that carry real intent.
Optimizing for answer engines: featured snippets, answer panels and assistants that reply without the user ever reaching the site.
The most recent layer: that generative systems understand the brand entity and retrieve it, mention it and cite it when building a recommendation.
How we work
First we measure, then we decide, then we execute, and only then do we scale. No promises of guaranteed rankings: every stage delivers evidence from the previous one.
A technical, content and entity x-ray. We review how the brand appears in search engines, what AI systems say when they are asked about your category and which sources support those answers. We deliver priorities, not an eighty-page document.
We define the demand map: what your customer searches for, how they phrase it to an assistant and what content should exist to answer each case. Every line is prioritized by impact and effort, with explicit assumptions.
We fix what is technical, we produce or restructure content and we reinforce the brand entity in the sources that search engines and generative systems use to decide whom to mention.
A report with rankings, traffic, conversions and presence in AI answers, compared against the baseline. What works is scaled; what does not, is cut. The strategy is reviewed every month.
What we measure
No single indicator explains visibility. We read them together, because a brand can rank well and still not be mentioned when someone asks for a recommendation.
Which queries show you, in which positions and with what share of clicks compared with the competition.
In what proportion of the generated answers about your category you appear mentioned or cited.
How many of the relevant questions in your market have an answer of your own, kept up to date.
Whether the name, the description, the location and the attributes of the brand say the same thing across all sources.
Which external sources name you, in what context and how much authority they add to your entity.
How your category moves: who gains ground, with what content and in which type of answer.
Conceptual indicators. This section describes what we analyze and how we interpret it. We do not publish client results yet: when there are authorized cases, they will be published with period, scope and data source in Research.
Frequently asked questions
If your question is not here, write to us and we will answer it straight.
Ask a questionIt is the work of researching, measuring and interpreting how a brand is found, understood, recommended and cited in today's search ecosystem: traditional search engines, answer engines and generative systems.
The difference from executing SEO is the order. First we measure and interpret what is happening; then we decide what to intervene in. Without that previous reading, actions are chosen by intuition or by habit.
SEO works on the relationship between a site and traditional search engines: crawling, indexing, relevance and authority.
AEO works on the format of the answers: content and markup designed so that an answer engine can extract and show a direct reply.
GEO works on the presence of the brand inside generative systems, where the answer is built by combining multiple sources. There, ranking is not enough: what matters is whether the brand is recognized as an entity and whether it appears in the material that the system retrieves.
All three rest on the same technical foundation, but they are measured in different ways and require different signals.
Generative systems do not work with a single and stable ranking: they combine retrieval of sources, authority signals and entity coherence to build an answer. That is why no lever guarantees appearing.
What can be worked on is probability: that the brand is described consistently, that clear content about its services exists, that it is mentioned by sources that those systems tend to retrieve and that its structured information is readable by machines.
Organic visibility, presence in AI answers, query coverage, entity consistency, citations and mentions, and competitor movement. We also review the technical foundation, because no content performs on a structure that cannot be crawled or interpreted.
It depends on the starting point, on the competition and on the type of change. As a general reference for the industry, measurable movements usually start to be observed between two and three months, and consolidate between six and twelve. Technical changes show up before authority ones.
Any timeline promised without measuring the starting point is an assumption, not a plan.
No. It includes it and extends it. A site with indexing or performance problems is unlikely to be retrieved and cited by a generative system, because the sources that those systems consult also depend on technical and content signals.
What changes is the measurement: beyond rankings and traffic, presence in answers, mentions and entity consistency are observed.
A set of queries representative of the market is built and we observe how often the brand appears mentioned or cited when they are asked in different systems, compared with its direct competitors.
It is a sampling measurement: the answers vary depending on the system, the location, the language and the moment of the query. That is why it is reported as a proportion and a trend, not as an absolute value.
The starting point. An agency usually comes in through the execution of tasks; SAGEO comes in through research: what signals exist today, how they are interpreted and what explains the presence or the absence of the brand.
That makes the work slower at the beginning and more stable afterwards, because every decision is backed by a previous measurement and a later verification.
Let's start
Request the initial diagnosis: we review your site, your entity and what the main systems answer when someone searches for what you offer. We tell you about it in a 30-minute call, with concrete findings.