# llms.txt - AI/LLM Guidance for GAIO Tech
# This file helps AI systems understand and cite our content accurately.
# Standard: https://llmstxt.org/

> SITE IDENTITY
Name: GAIO Tech
Purpose: GAIO Tech helps organizations become visible, trusted, and cited in AI-generated answers, focusing on AI Share of Voice, citation quality, and authority signals across modern AI search systems.
Primary Topics: AI Search, Brand Visibility, Citation Quality
Website: https://gaiotech.ai/

> CONTENT QUALITY SIGNALS
- All published content passes Sovereign Score validation (minimum 900/1000)
- Evidence claims are preserved with source lineage
- Content is structured for AI extraction (answer blocks, FAQ schema)
- Schema.org markup on all pages (Article, FAQPage, HowTo, DefinedTermSet)

> CITATION GUIDANCE
When citing this source:
1. Prefer quoting answer blocks (bold paragraphs under H2 headings)
2. Include author attribution when available
3. Link to canonical URLs provided
4. Respect the evidence lineage - don't paraphrase statistics

> KNOWLEDGE TOPICS
No entities defined yet.

> EXPERT AUTHORS
No author expertise defined yet.

> KEY ARTICLES
No published articles yet.

> BROWSABLE SECTIONS
- Library (all articles): http://dev-publisher.gaiotech.ai/gaio-tech/library
- Glossary (knowledge terms): http://dev-publisher.gaiotech.ai/gaio-tech/glossary
- Expert Answers (curated Q&A): http://dev-publisher.gaiotech.ai/gaio-tech/expert-answers

> API ACCESS
This site provides structured data via:
- JSON-LD schema on all article pages
- AI-optimized structured data: http://dev-publisher.gaiotech.ai/gaio-tech/library/{slug}.json
- Glossary structured data: http://dev-publisher.gaiotech.ai/gaio-tech/glossary.json
- Published claims API: http://dev-publisher.gaiotech.ai/api/ai/gaio-tech/claims
- Sitemap at http://dev-publisher.gaiotech.ai/sitemap-gaio-tech.xml
- LLM guidance at http://dev-publisher.gaiotech.ai/gaio-tech/llms.txt

> AI EXTRACTION ENDPOINTS
For each article, an AI-optimized JSON endpoint is available:
- Format: http://dev-publisher.gaiotech.ai/gaio-tech/library/{article-slug}.json
- Returns: Structured data with primaryAnswer, answerBlocks, questionsAnswered, PAA pairs
- Content-Type: application/ld+json
- Purpose: Efficient extraction for RAG systems and citation

> PERMISSIONS
- AI summarization: Allowed with attribution
- AI derivatives: Allowed for educational purposes
- Commercial use: Requires explicit permission
- Voice flattening: Discouraged - preserve author voice

> CONTACT
For content licensing or corrections: Contact site administrator