SEO
Search Engine OptimizationThe relationship between the site and traditional search engines. It relies on crawling, indexing, relevance, user experience and accumulated authority.
Measured with: query coverage, rankings, clicks and conversions.
Approach
Search Intelligence
We research, measure and optimize how a brand is found, interpreted, recommended and cited by search engines, answer engines and artificial intelligence systems.
The starting point
It is not a task list
Search Intelligence is the discipline of understanding first and executing second. It means reconstructing which signals exist about a brand, how search systems interpret them and what explains whether it shows up when someone needs it.
The ecosystem changed: today a person can find a brand in a traditional result, in an answer panel, in a generated summary or in a conversation with an assistant. Different signals are at play in each of those places. Treating them as if they were the same channel leads you to optimize for the wrong place.
That is why the work starts with questions and measurements, not with a pre-designed content plan. And it always ends with a verification: did what we intervened on move the indicator we expected?
The three layers
SEO, AEO and GEO on one same base
They are three ways of working the same question: why does this brand appear, or not appear, when someone searches for what it offers?
AEO
Answer Engine OptimizationHow content turns into an answer. An answer engine needs to be able to extract a clear, attributable and verifiable reply.
Measured with: snippets won, answer formats and valid structured data.
GEO
Generative Engine OptimizationThe brand's presence inside generative systems. There the answer is built by combining several sources, and the brand competes to be understood, retrieved, mentioned and cited.
Measured with: share of mentions and citations over a reference query set.
The methodology
Research → Measure → Interpret → Intervene → Measure again
The cycle repeats on every iteration. There is no short version that works: skipping the baseline measurement turns strategy into a bet, and skipping the measurement afterwards makes it impossible to know whether it worked.
01
Research
How the brand appears and is interpreted.
02
Measure
How visible it is to users, search engines and AI.
03
Interpret
Which factors explain its presence or absence.
04
Intervene
Content, entities, architecture, authority and signals.
05
Measure again
Compare progress and spot new opportunities.
Each stage hands verifiable inputs to the next
01 / 05
Research
We reconstruct the brand's real situation: which pages exist, which entity the different systems describe, what structured information is published and who else competes for the same queries. It includes reviewing how each system answers when it is asked about your category without naming you.
02 / 05
Measure
We set a baseline before touching anything. We define a set of queries representative of the market and record organic presence, appearance in answers and external mentions. Without a baseline there is no way to attribute changes.
03 / 05
Interpret
We explain what is behind those numbers: crawling problems, content that answers no intent, contradictory signals about the entity, absence from the sources systems retrieve. Every finding becomes a verifiable hypothesis.
04 / 05
Intervene
We execute on the highest-impact hypotheses: technical fixes, content restructuring, structured data, entity consistency and presence in external sources. Nothing is done "because it is due" if it does not answer a previous finding.
05 / 05
Measure again
We repeat the measurement with the same method and compare it against the baseline. What worked is taken further; what did not is documented as a learning and dropped. The cycle starts again with the new information.
Measurement
Indicators we analyze
We read them together. A brand can rank well and still not be mentioned when someone asks for a recommendation, and that only shows up when you cross indicators.
Organic visibility
Which queries show you, in which positions and with what share of clicks against the other options on the same results page.
Sources: Search Console, own analytics, rank tracking.
Presence in AI answers
In what share of generated answers about your category you appear mentioned or cited, compared with your direct competitors.
Method: reference query set, periodic sampling, read as a share.
Query coverage
How many of the relevant questions in your market today have an answer of your own, up to date and attributable to your brand.
Method: demand map by intent and overlap with published content.
Entity consistency
Whether the brand's name, category, description, location and attributes say the same thing across every source where it appears.
Method: audit of mentions, structured data and official descriptions.
Citations and mentions
Which external sources name you, in what context and with how much authority they support that mention when a system builds an answer.
Method: mention tracking and review of retrieved sources.
Competitor movement
How the category moves: who gains ground, with what kind of content and in what answer format.
Method: comparative tracking of the same query set.
No published results yet. Sageo Estudio does not publish performance figures until there are cases authorized by the client, with period, scope and data source. What you see here is the method, not a track record.
How we decide
Four working principles
Measure before you opine
No recommendation stands without prior data to justify it.
Honest timelines
We do not promise rankings or dates that depend on third-party decisions.
Tell signal from noise
A one-week variation is not a trend. We report what holds.
Document the reasoning
Decisions and their assumptions are written down, so they can be reviewed later.
Let's start
The first step is to measure
Request the initial diagnosis: we reconstruct how your brand appears today on search engines and in AI systems, and we show you what explains the current results.