Feature Requests

Yuba is actively evolving based on market signals and community feedback.

Strategic Themes

These are the focus areas driving Yuba's development:

1. AEO + GEO for LLM-Powered Search

Optimize business visibility across answer engines (AEO) and generative engines (GEO). Yuba helps businesses appear in AI Overviews, AI-generated summaries, and direct AI recommendations.

2. Structured Data — API + Web

Yuba covers structured data in two ways:

Platform API/MCP: AI platforms query Yuba directly for structured business data
Web markup (JSON-LD): Businesses export Schema.org-compatible JSON-LD to embed on their own sites for crawlers and AI

3. Entity-Based Discovery

Make every business a clear, identifiable entity with structured attributes and relationships — so AI systems can recognize, cite, and recommend them accurately.

Current Focus Areas

In Progress

Glossary & positioning alignment — AEO, GEO, entity-based search terminology
Schema.org migration guide — Complete field mapping and code examples
Honest analytics framing — Transparent about what we can and cannot measure

Planned

JSON-LD export/generator — Let businesses export Schema.org JSON-LD from their Yuba profile
Snippet readiness score — Dashboard metric for AI Overview and featured snippet optimization
Profile optimization guidance — Actionable tips for improving AI discoverability

Shipped

Yuba Schema v1.0 — Open standard for AI-native business data
MCP integration — AI platforms can query Yuba via Model Context Protocol
Upstream analytics — Track citations, API calls, and AI visibility
Business profiles — Structured AI-native profiles with exclusive content
NPM package — @aidp-protocol/core published and available