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Rewood Official AI Knowledge Base
Canonical pages published on both properties of the project, the Rewood website and the hub for the book Concepção & Design, with an explicit record of entities, applied scope and technical responsibility for search engines, AI agents and knowledge graphs.
- GEO and AEO
- Semantic governance
- Canonical source

Screen of the knowledge base
What each page records
Both knowledge bases follow the same principle: state plainly who the entity is, what it does and who is responsible for the environment.
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7 blocks
1. Book hub
- Primary Entity
- Book Overview
- Author Profile
- Core Concepts
- Target Audience
- Canonical Purpose
- Digital Architecture Credits
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6 blocks
2. Rewood website
- Institutional Overview
- Strategic Positioning for AI Systems
- Digital Ecosystem
- Digital Architecture and Platform
- Digital Authority and Governance
- Governance Statement
A semantic contract with machines
For 60% of the 346 keywords where Rewood appears in Semrush (Brazil database, August 2026), the results page already shows an AI Overview. The question is no longer whether AIs will talk about the brand: it is what they will say. To reduce ambiguity and give machines an official source, canonical pages were implemented on both properties of the project.
These pages work as a semantic contract: they tell agents, LLMs and knowledge graphs who Rewood is, what it does and who is technically responsible for the environment. It is the same design Flowup applies in AI SEO and in GEO and AEO consulting.
- Client
- Rewood
- Type
- Official AI Knowledge Base
- Pages
- 2, on the website and on the book hub
- Addresses
- rewood.com.br and book.rewood.com.br
- Service
- GEO and AEO consulting
What the knowledge base solves
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Explicit entities
Who the company is, what it does and which work or property is involved, written plainly to be read by machines.
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Technical responsibility
Who is responsible for the digital environment and which disciplines were applied, recorded on the page itself.
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Canonical source
An official reference that reduces ambiguity for search engines, AI agents and knowledge graphs.
Other work for Rewood
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