Research and observations

Web3 AI Visibility Insights

A growing English library that alternates between clear beginner guides and practical professional implementation notes.

Editorial library · 15 articles

Each article has a distinct question, audience and publication date. New material is added when it contributes evidence or a useful method—not to simulate freshness.

Showing 15 articles

What Is GEO for a Web3 Project?

What Is GEO for a Web3 Project?

A plain-English introduction to how AI search discovers, classifies, and explains Web3 products.

2026-08-064 min read
Entity Consistency: The Hidden Layer of Web3 AI Visibility

Entity Consistency: The Hidden Layer of Web3 AI Visibility

Why the same project must be described consistently across its homepage, docs, GitHub, ecosystem listings, and social profiles.

2026-08-057 min read
Why AI Keeps Recommending Your Competitors

Why AI Keeps Recommending Your Competitors

Three practical reasons a smaller Web3 product can disappear from an answer while a better-documented competitor gets the mention.

2026-08-045 min read
How to Build a Citation-Ready Web3 Source Map

How to Build a Citation-Ready Web3 Source Map

A practical source hierarchy for turning product facts into pages that AI assistants and human buyers can verify.

2026-08-038 min read
A Simple Web3 Website Audit in 10 Minutes

A Simple Web3 Website Audit in 10 Minutes

A quick first-pass checklist for founders who want to spot obvious AI-search gaps before commissioning a full review.

2026-08-025 min read
Measuring Prompt Share of Voice Without Overclaiming

Measuring Prompt Share of Voice Without Overclaiming

A careful way to compare AI mentions over time without pretending that one answer is a permanent ranking.

2026-08-019 min read
What Makes a Web3 Homepage AI-Friendly?

What Makes a Web3 Homepage AI-Friendly?

A beginner-friendly way to turn a technical homepage into a clear answer about product, audience, and use case.

2026-07-315 min read
Prompt Sets: Designing a Repeatable Visibility Test

Prompt Sets: Designing a Repeatable Visibility Test

How to create a small, durable prompt set that can be tested again after a website or documentation change.

2026-07-308 min read
Why Docs Matter More Than Another Blog Post

Why Docs Matter More Than Another Blog Post

Before publishing more marketing content, check whether the documentation answers the questions an AI system must get right.

2026-07-295 min read
Building a Web3 Comparison Page Without Hype

Building a Web3 Comparison Page Without Hype

A practical structure for comparison pages that help buyers decide without making claims you cannot verify.

2026-07-288 min read
What Are Citations and Why Do They Matter?

What Are Citations and Why Do They Matter?

A simple explanation of the sources behind AI answers and how a Web3 project can become easier to verify.

2026-07-274 min read
A Practical Fact-Verification Workflow for Web3 Teams

A Practical Fact-Verification Workflow for Web3 Teams

A lightweight review process for checking chains, custody, token references, product status, and integration claims before publication.

2026-07-269 min read
How to Explain Wallet, Protocol, and Token Clearly

How to Explain Wallet, Protocol, and Token Clearly

The three Web3 terms that are often mixed together—and a simple way to separate them in your website copy.

2026-07-255 min read
Designing an Evidence Brief for AI Search

Designing an Evidence Brief for AI Search

How to compress a complex Web3 project into a source-backed brief that supports writers, partners, and AI visibility work.

2026-07-248 min read
From AI Answer to Action List: A Founder's First Week

From AI Answer to Action List: A Founder's First Week

A practical first-week sequence for turning an AI visibility observation into a small set of website and docs improvements.

2026-07-236 min read
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