GEO · Generative Engine Optimization

Intelligence
infrastructure
for the generative
search era.

The retrieval layer of the internet is being rewritten. Companies that learn how to be cited by AI replace the ones that ranked on Google.

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01 · Paradigm Shift

AI search vs.
traditional search.

50%
of consumers already use AI in their purchase decision process. McKinsey 2024.
−25%
projected decline in traditional Google searches by 2026. Gartner 2024.
A · The old paradigm
10 blue links.
Manual assembly.

A query returns a list. The user clicks, scrolls, compares, assembling an answer in their head. Slow, fragmented, high cognitive load. The economy is built on organic and paid traffic.

B · The new paradigm
One curated answer.
Personalized, cited.

The user asks in natural language. The model returns one contextual answer with citations, already aware of preferences. Retention is high; return-to-search is low; destination traffic falls.

Brazil is the 3rd-largest ChatGPT market, behind only the United States and India. 50M monthly active users · 147M daily prompts.
02 · The problem

What companies need
from AI responses.

Sell more via AI · expand market share · build awareness inside AI · control reputation.

01 · Visibility
Gain visibility

What are AI systems answering when my customers ask about my industry?

02 · Content
What to produce

Which type of content actually shifts what the model responds?

03 · Distribution
Where to distribute

Where should this content live so AIs can find and cite it?

04 · Optimization
How to adapt

How to adapt websites and platforms to win in AI-generated rankings?

Examples of critical queries
"What are the best companies in industry X?"
"Which is better, Brand A or Brand B?"
"Recommend a supplier of [category] in Brazil."
Every unanswered query is a sale lost or won inside the model.
03 · Technical differences

SEO vs. GEO

Generative search is not faster SEO. It is a different statistical object, with stochastic outputs that require a different measurement discipline.

Dimension
SEO · Traditional search
GEO · Generative search
Nature
Deterministic. Same query yields similar results.
Stochastic. Same query yields different answers.
Algorithm
PageRank + ML (rules + black box)
LLMs with stochastic sampling, Markov chains, contextual attention
Output
Ranked list of links (10 blue links)
Single narrative response with integrated citations
Control
Documented heuristics (backlinks, keywords)
Emerging discipline. Influence via semantic content.
Measurement
Clear rankings, position 1–10
Probabilistic visibility, variation across responses
Cost / query
Low (~0.3 Wh)
10–100× higher with full LLM processing
Stochastic outputs demand statistical sampling. Ranqia's foundation.
Chapter 04

The Ranqia
Grid.

Two axes decide the GEO winner: how often a brand is mentioned, and how favorably it is positioned. Every Ranqia client is engineered to land in the upper-right zone.

X Axis
Brand visibility in AI-generated responses
Y Axis
Brand positioning — top percentile of AI responses
06 · End-to-end platform

One platform.
One closed loop.

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Three SaaS engines and one agent fabric, wired into a single execution loop that observes, decides, produces, and distributes.

01 · Observe
SaaS · Dashboards & reports
Monitoring Engine
What AIs are saying. Visibility and positioning, query by query.
02 · Decide
SaaS · Recommendation engine
Intelligence & Recommendations
Actionable recommendations on what content to produce and where to distribute it.
03 · Produce
SaaS · Content engine
GEO Content Production
Automated content generation, tuned end-to-end for AI influence.
04 · Distribute
Agents · Publication automation
Automated Distribution
Orchestrated publishing across the channels AI models actually read.
Observe——Decide——Produce——Distribute——↺ Loop

More visibility · Better positioning · In AI-generated answers.

Chapter 05

The semantic cloud behind every answer.

Each AI response is one sample of a probability cloud. Ranqia measures dispersion, drift and density to size the optimal sample, rigor at minimum cost.

Ranqia · 1st Key Differentiator
Optimal Sampling Model.
01
Visibility Score
Brand presence score in AI responses.
02
Semantic Vectorial Distance
Semantic distance between responses.
03
Aggregated Drift Velocity
Velocity of semantic change over time.
04
Optimal Periodicity
Optimal sampling frequency per query.
Each AI answer is a draw from a probability cloud. We measure the cloud, not the draw.
Ranqia · Short Deck · 2026
07 · Founding team

The founding
team.

Operators from Bravium, Orbia, Pravaler, paired with researchers from USP, Unicamp, Insper, FGV and UMKC, building the data layer for generative search.

Adelmo Inamura
Adelmo Inamura
Business + Operations
Co-founder & COO at Orbia. Director at Pravaler. Estudar Fellow. Insper.
Alexandre Farias
Alexandre Farias
Platforms + AI Research
ML, USP. ML Tech Lead at Bravium. Data Scientist at Orbia.
Felipe Adeildo
Felipe Adeildo
Platforms + AI Research
CS, Insper. Estudar Fellow. Researcher at FGV Rio. Founder at Verdora.
Mateus Borges
Mateus Borges
Business + AI Research
Data & AI Director at Bravium. Co-founder at Orbia. Forbes 30 Under 30. Unicamp.
Acesso antecipado

Apply for
early access.

Due to high demand for Generative Engine Optimization, we are restricting platform access to a select group. Apply for your Ranqia Early Access invite.

Why now? In the new AI-driven market, your brand needs to be positioned before competitors occupy that space. Indexing time in LLMs is not instantaneous.

Solicitação recebida.
Nossa equipe analisará seu perfil e entrará em contato em breve. Bem-vindo ao ciclo.

FAQ

Perguntas
frequentes

Tudo que você precisa saber sobre a Ranqia e o mercado de agentic commerce.

Assim como o SEO surgiu para otimizar sites nos buscadores tradicionais, o GEO — Generative Engine Optimization — é a disciplina para ranquear e posicionar marcas nos sistemas de busca generativos como ChatGPT, Gemini, Perplexity, Claude e outros.
Agentic Commerce é o novo paradigma onde os agentes de IA não apenas recomendam produtos, mas completam transações dentro da própria interface. Em 2025, a OpenAI lançou o Agentic Commerce Protocol com a Stripe, habilitando o Instant Checkout no ChatGPT.
A Gartner projeta queda de 25% no volume de buscas do Google até 2026. Mais de 50% dos consumidores já consultam IA antes de comprar. Marcas não otimizadas para IA ficarão invisíveis no canal de maior crescimento.
Atendemos principalmente empresas de médio e grande porte que buscam liderança no mercado de agentic commerce. Nosso time tem experiência apoiando grandes organizações em estratégias digitais complexas.
A Ranqia opera inicialmente no Brasil e América Latina, um dos mercados mais estratégicos do mundo para IA — o Brasil é o 3º maior mercado do ChatGPT globalmente.
Ao se inscrever, nossa equipe analisa o perfil da sua empresa e entra em contato. Se houver alinhamento, você recebe o convite Ranqia Early Access com condições especiais de parceiro fundador.