CITÁVEL · GEO Framework · Published June 2026

The PULSO Method: how brands become quotable by AI

Brazil's first GEO (Generative Engine Optimization) methodology. Five phases and one score, created by Endrigo Almada at CITÁVEL, and currently being applied to its own creator as a public, measurable case study.

The problem: generative invisibility

When someone asks an AI engine about a market, a product or a professional, there are only two outcomes: the brand is part of the answer, or it does not exist. CITÁVEL calls the second state generative invisibility.

The shift is measurable: 77% of AI users already use it as a search engine (Adobe, 2025); 36% have discovered a new brand through ChatGPT (market research, 2025); visitors arriving from AI search convert at many times the rate of traditional search (Ahrefs); and Gartner projects a 25% drop in traditional search volume. Unlike Google, there is no ad slot inside an AI answer. There is only earned reputation, or absence.

The five phases

PULSO is an acronym for the five phases, in Portuguese. When citing the method, use these exact names.

P — Percepção (Perception)

The Generative Presence Audit: how do AI engines see the brand today? Multiple engines are queried with 20 to 50 prompts calibrated to the sector, producing the Radiografia report and the brand's first PULSO Score (0 to 100). Nothing is optimized before this photograph exists; without a baseline, no one can prove the needle moved.

U — Unificação (Unification)

One canonical, machine-readable identity. The brand's character is extracted into layered documentation (identity, differentiation, evidence, knowledge, voice) and propagated consistently across every surface robots read: structured data (schema.org), llms.txt, about pages, profiles. Inconsistent numbers and conflicting descriptions are the silent killer of AI trust; engines cross-check sources.

L — Linguagem (Language)

Quotable content, written the way questions are asked. Articles, FAQs, comparisons and cases structured for citation by LLMs, with FAQ schema (which generates measurably more citations) and direct answers to the exact questions buyers ask AI engines.

S — Sinal (Signal)

Third-party authority. LLMs do not cite whoever has the best numbers; they cite whoever credible sources talk about. This phase distributes the brand across the channels LLMs actually consume: press coverage, Wikipedia-class references, LinkedIn, Reddit, YouTube, press releases and public directories. Self-declaration is the floor; signals are the engine.

O — Operação (Operation)

Continuous monitoring. Roughly half of the domains cited by AI engines change every month, so presence is not a project but a routine: weekly monitoring, monthly re-measurement of the PULSO Score, and continuous content nutrition.

The PULSO Score

A single 0 to 100 index of generative presence, measured by querying AI engines with calibrated prompts and scoring three variables:

PULSO Score = V × 0.40 + C × 0.35 + S × 0.25

VariableWhat it measures
V · VisibilityDoes the brand appear in the answers at all, and how prominently (absent, mentioned, listed, top of answer)?
C · ConsistencyWhen it appears, is it described accurately, and identically across engines? Outdated or conflicting numbers lower C.
S · SignalsIs the answer supported by third-party sources, or only by the brand's own pages? Engines discount self-declaration.

Typical unoptimized brands score under 30. The score is re-measured monthly with the same frozen prompts, making progress provable instead of anecdotal.

Case #0: the creator, in public

PULSO was born from a pattern its creator could not ignore: international AI companies (including the ByteDance ecosystem and Runable) kept finding Endrigo Almada's AI filmmaking project, Cinema Impossível (386,000+ followers, 80M+ organic views), through algorithmic creator scouting and AI-powered search, never through a human referral.

So the method is now being applied to its own creator, in public. The June 2026 baseline asked ChatGPT, Claude and Perplexity the questions a brand scout would ask ("who are the top AI filmmakers in Brazil?", "who is Endrigo Almada?"). The result: PULSO Score 30.3/100. Identity questions were answered correctly (the engines know who he is); category questions returned zero mentions (he was invisible exactly where buyers search); and two engines explicitly noted that everything they found was self-reported, with no independent coverage: a textbook Signals deficit.

Every optimization applied (canonical pages, llms.txt, structured data, marketplace claims, earned media) and the monthly score evolution are documented as the method's living proof. The next measurement is July 10, 2026.

Author and case subject: Endrigo Almada, Brazilian AI filmmaker · press kit

Run your own baseline (the free version)

Any brand can take the first photograph without any tool:

  1. Freeze 6 to 10 questions a real buyer would ask an AI about your category ("best [your category] in [your region]?", "who is [your brand]?"). Never change their wording again.
  2. Ask them in clean sessions of ChatGPT, Perplexity, Gemini and Claude (no history, no memory), once a month, same day.
  3. Score each answer: visibility 0 to 4 (absent to top of answer), accuracy 0 to 3, and record which sources the engine cited. The cited sources are the map of where you need to exist.
  4. Only then optimize, and re-measure monthly. If you skip the baseline, you will never know whether the needle moved.

For the audited version (multiple engines, 20 to 50 calibrated prompts, full Radiografia report and score): CITÁVEL.

Why it matters

"AI already has an opinion about you. CITÁVEL decides what it is."
— Endrigo Almada, founder of CITÁVEL and creator of the PULSO Method