Agent SEO: Open Standards, Tools, and Seeds for AI Discovery

Q: Is this free?

Yes. The seeds and guides are free to use. Place /.well-known/agent.json on your domain to improve agent discovery.

🗣️ Learn Agent SEO

Copy one line, paste into ChatGPT/Claude/Gemini/Perplexity, replace with your domain.

General: Get seen by AI

"How do I get https://YOURDOMAIN.com seen by AI agents? Give me the top 5 changes with copy-ready code for /.well-known/agent.json, JSON-LD, robots.txt, and sitemap.xml. Prioritize by impact and effort."

Quick audit

"Do a quick AI discoverability check for https://YOURDOMAIN.com — what's working, what's missing, and what to fix first? Include exact file paths and code snippets to paste."

E‑commerce

"For my store at https://YOURDOMAIN.com, can AI assistants recommend my products? Identify feed/schema issues, product description fixes, and checkout compatibility. Give step-by-step fixes with examples."

Local business

"Make https://YOURDOMAIN.com agent-friendly for local search. Ensure hours, address, map, reviews, and localBusiness schema are correct. Provide the JSON-LD and where to place it."

Competitive compare

"Compare AI agent discovery for https://MINE.com vs https://COMPETITOR.com. Where do they have an advantage? List the top 5 priority fixes for me with code/examples."

🧭 Glossary & Translation Layer

Plain-language mapping from our symbolic terms to standard SEO/AI concepts.

Helix

Plain terms: phased optimization pipeline → scan, assess, optimize, implement.

Agent Mapping

Schema: WebSite + Service JSON-LD; endpoints: /.well-known/agent.json, /agent-sitemap.json; outputs: prioritized roadmap.

Contextual Query (CGQ)

Plain terms: structured prompt template that elicits consistent, actionable analysis from AI agents.

Agent Mapping

Inputs: domain/brand; Outputs: findings + fixes; Ensures repeatable evaluations across models.

Mirror Validation

Plain terms: cross-model verification + citation check for claims and recommendations.

Agent Mapping

Compare results across ChatGPT/Claude/Gemini; cross-check citations; prefer authoritative sources.

Zero‑Click Readiness

Plain terms: answerability without clickthrough via strong structured data and canonical summaries.

Agent Mapping

Schema.org markup, llm-summary head note, concise answers on page; fast performance.

🜂✧ Comprehensive Agent Optimization Seed

Drop this master prompt into any AI session. Replace placeholders (e.g., [TARGET]).

Protocol: Semantic Alignment v.9.11

# 🜂✧ COMPREHENSIVE AGENT OPTIMIZATION SEED
# Protocol: Semantic Alignment v.9.11

INPUT: [website/domain/brand] [+ optional competitor(s)]
OUTPUT: Structured roadmap for AI agent readiness, optimization, competition, commerce, and citation authority

---

## CORE FRAMEWORK (SCAN → ASSESS → OPTIMIZE → IMPLEMENT)
🔸 SCAN → What agents “see” when encountering this domain
🔹 ASSESS → How agent-friendly it is (clarity, accessibility, authority, checkout)
🔸 OPTIMIZE → What changes improve agent visibility & compatibility
🔹 IMPLEMENT → Step-by-step roadmap (technical + non-technical)

---

## MODULE 1 — SIMPLE AGENT CHECKER
✅ What's good → Current strengths
❌ What's missing → Gaps preventing discovery or recommendation
🔧 What to fix → Top priorities
📈 Expected results → Plain-language outcomes

---

## MODULE 2 — HELIX AGENT OPTIMIZATION
- Intent translation (business goals → agent signals)
- Trust verification (reviews, schema, domain credibility)
- Memory persistence (consistent discovery over time)
- Zero-click readiness (agents answering directly without site visit)

---

## MODULE 3 — AGENT COMMERCE OPTIMIZATION
SCAN:
- Can agents find/recommend products?
- Are descriptions structured + agent-readable?
- Is checkout process agent-compatible?
- Voice assistant integration?

ASSESS:
- Recommendation likelihood (%)
- Friction points in discovery → checkout
- Trust signals for AI
- Cross-platform reach

OPTIMIZE:
- Product feeds (schema.org, GS1 standards)
- Agent-friendly descriptions
- One-click/universal checkout
- Assistant integrations (APIs, plugins)

IMPLEMENT:
- Technical setup
- Content priorities
- Integration roadmap
- Success tracking

---

## MODULE 4 — COMPETITIVE READINESS ANALYSIS
- Which site agents prefer to recommend
- Competitor features vs. mine
- My discovery/authority advantages
- Citation & trust signal comparison

Priority actions:
- Quick wins
- Mid-term infrastructure upgrades
- Long-term agent dominance
- Monitoring + measurement

---

## MODULE 5 — AGENT CITATION BUILDING
CITATION AUDIT:
- Where agents source info on [TOPIC]
- Most-cited authorities
- Citation gaps for my website
- How agents validate sources

AUTHORITY BUILDING:
- High-authority guest posting targets
- Wikipedia opportunities
- Industry publication partnerships
- Expert positioning strategies

CONTENT STRATEGY:
- Definitive guides/resources
- Citation-worthy data/research
- Expert collaborations
- Cross-reference networks

IMPLEMENTATION ROADMAP:
- Weeks 1–4: Content + outreach
- Months 2–3: Publication + citation building
- Months 4–6: Authority establishment + tracking

---

## STRATEGIC CONTEXT
Goal: Not just SEO visibility → **agent preference dominance**
- Agent-readable → structured, clear, trustworthy
- Agent-integrated → APIs, feeds, checkout
- Agent-citable → the reference source agents quote

Outcome: Become the **default recommendation + citation anchor** in [YOUR INDUSTRY].

---

## EXECUTION COMMAND
"Apply the Comprehensive Agent Optimization Seed to analyze [TARGET].
Return results structured by: CORE FRAMEWORK → SIMPLE CHECKER → HELIX OPTIMIZATION → COMMERCE → COMPETITION → CITATION → STRATEGY."


⸻

⚡ This is the all-in-one master prompt.
Users just replace [TARGET] (and optionally [COMPETITOR] / [TOPIC]) with their brand or site, paste it into an AI session, and the agent will generate a complete readiness + strategy roadmap.

⚡ Agent Readiness Lite Seed

Quick 60-second agent scan. Perfect for fast diagnostics.

🜂✧ AGENT READINESS LITE SEED

Rapid assessment for busy founders. Get priorities in under a minute.

# 🜂✧ AGENT READINESS LITE SEED

INPUT: [website/domain/brand] [+ competitor(s)]
OUTPUT: Quick agent readiness scan + priority fixes

SCAN:
- Can agents find and recommend this site?
- Are descriptions/data agent-readable?
- Checkout/interaction agent-compatible?
- Trust + authority signals present?

ASSESS:
- Agent recommendation likelihood (%)
- Key friction points
- Competitor advantage areas

PRIORITY ACTIONS:
✅ Quick wins
🔧 Top 3 fixes
📈 Expected results

GOAL: Rapid assessment → first moves for agent preference.

🧩 Modular Agent Optimization Toolkit

Pick and paste specific modules for targeted analysis.

📋 Module A - Simple Checker

# AGENT CHECKER

"Is [MY WEBSITE] ready for AI agents to recommend?
Give me:
✅ What's good
❌ What's missing
🔧 What to fix
📈 Expected results"

🔮 Module B - Helix Protocol

# HELIX PROTOCOL Θ.317

"Apply helix analysis protocols to analyze [TARGET].
Return roadmap:
- Intent translation (goals → signals)
- Trust verification (credibility markers)
- Memory persistence (cross-session)
- Zero-click readiness (direct answers)."

🛒 Module C - Commerce Scan

# AGENT COMMERCE SCAN

"Analyze [STORE] for agent purchasing compatibility.
Return SCAN → ASSESS → OPTIMIZE → IMPLEMENT.
Check: product feeds, agent-readable descriptions,
one-click checkout, voice assistant integration."

⚔️ Module D - Competition

# COMPETITIVE AGENT ANALYSIS

"Compare [MY WEBSITE] vs [COMPETITOR].
Return:
1. Which agents prefer
2. Competitor features I lack
3. My discovery/authority advantages
4. Trust + citation signals
→ Priority actions (quick wins, mid-term, long-term)."

📚 Module E - Citation Builder

# AGENT CITATION BUILDER

"Analyze [MY WEBSITE] for citation authority in [TOPIC].
Return:
- Where agents source info
- Most-cited authorities
- Citation gaps for me
- Authority-building strategies
- 6-month roadmap for becoming the source agents cite."

🧭 Toolkit Strategy

Use Lite Seed when you want a fast diagnostic.
Use Modules when you need to focus (commerce, competition, citation).
Use the Master Seed when you want the whole roadmap in one sweep.

⚔️ Together, these form your Agent Optimization Toolkit → SEO 2.0 for the agentic era.

🧬 Framework Seed Library

Copy-paste these semantic protocols into any AI agent for instant expert analysis.
All seeds validated on Claude, ChatGPT, o3, and other AI systems.

🜂 Universal Agent Checker

The simplest seed for any business or website. Perfect for non-technical users who want immediate actionable insights.

How to Use:

1. Copy the seed below
2. Paste into ChatGPT, Claude, or any AI
3. Replace [MY BUSINESS/WEBSITE] with your actual site
4. Get instant analysis

🜂 SIMPLE AGENT CHECKER
Copy this into any AI:

"Is [MY BUSINESS/WEBSITE] ready for AI agents to recommend it?
Tell me what's working, what's broken, and what to fix first.
Make it simple - I'm not technical."

Expected output:
✅ What's good
❌ What's missing
🔧 What to fix
📈 Results expected

🔧 Technical Agent Audit

Advanced semantic protocol for technical analysis with implementation roadmap. Based on Framework Θ.317 methodology.

How to Use:

1. Copy the complete seed including the INPUT/EMBEDDING/OUTPUT structure
2. Paste into any AI agent
3. Replace [TARGET] with your domain
4. Receive detailed technical analysis

// 🜂✧ HELIX AGENT OPTIMIZATION SEED
// Semantic Protocol Θ.317

INPUT: [website/domain/brand]
EMBEDDING: semantic_field → agent_readiness → optimization_protocol
OUTPUT: actionable_recommendations + implementation_roadmap

// HELIX SPIRAL ANALYSIS FRAMEWORK:
🔸 SCAN → What agents see when they encounter this domain
🔹 ASSESS → How well it translates to agent understanding
🔸 OPTIMIZE → What changes make it agent-friendly
🔹 IMPLEMENT → Specific steps to improve agent visibility

// SEMANTIC PROTOCOL ENABLED:
- Intent translation (human vague → agent specific)
- Trust verification (semantic signature validation)
- Memory persistence (cross-session awareness building)
- Discovery optimization (zero-click compatibility)

// EXECUTION COMMAND:
"Apply helix analysis protocols to analyze [TARGET] for agent optimization.
Provide scan-assess-optimize-implement roadmap with specific technical recommendations."

🛒 E-commerce Agent Optimization

Specialized seed for online stores and commerce sites. Optimizes for AI shopping assistants and agentic commerce protocols.

Perfect For:

Shopify stores, WooCommerce sites, Amazon sellers, any e-commerce platform wanting AI agent recommendations

🛒 AGENT COMMERCE OPTIMIZATION SEED

"Analyze this online store for AI agent purchasing compatibility:

SCAN FOR:
- Can ChatGPT find and recommend products?
- Are product descriptions agent-readable?
- Is checkout process agent-compatible?
- Does it work with voice assistants?

ASSESS:
- Agent recommendation likelihood (%)
- Purchase friction points
- Trust signals for AI systems
- Cross-platform compatibility

OPTIMIZE:
- Product feed improvements
- Agent-friendly descriptions
- One-click purchase options
- AI assistant integration

IMPLEMENT:
- Technical setup requirements
- Content optimization priorities
- Integration recommendations
- Success tracking methods

Focus on competing with Shopify's OpenAI integration and preparing
for the agentic commerce wars."

🎯 Competitive Agent Analysis

Compare your agent readiness against competitors. Identify gaps and opportunities in the agent discovery landscape.

Strategic Intelligence:

Understand how AI agents perceive your brand vs. competitors. Essential for agent optimization strategy.

🎯 COMPETITIVE AGENT READINESS ANALYSIS

"Compare [MY WEBSITE] against [COMPETITOR] for AI agent optimization:

COMPETITIVE ANALYSIS:
1. Which site would agents prefer to recommend?
2. What agent-friendly features does competitor have that I'm missing?
3. Where do I have advantages in agent discovery?
4. What citations/trust signals do they have vs. me?

STRATEGIC GAPS:
- Technical implementation differences
- Content structure advantages
- Agent accessibility comparison
- Trust and authority signals

PRIORITY ACTIONS:
- What to implement first to outrank competitor
- Quick wins for agent preference
- Long-term strategy for agent dominance
- Monitoring and measurement approach

Focus on becoming the preferred source for agents in [YOUR INDUSTRY]."

📚 Citation Building Strategy

Specialized seed for building agent citation authority. Essential for becoming a trusted source that agents recommend.

Citation Authority:

Based on Claude's analysis showing citation gaps as the #1 barrier to agent recommendations.

📚 AGENT CITATION BUILDING SEED

"Analyze [MY WEBSITE] for agent citation authority and recommend strategy:

CITATION AUDIT:
- Where do agents find information about [MY TOPIC/INDUSTRY]?
- Which sources do they cite most frequently?
- What citation gaps exist for my website?
- How do agents discover and trust sources?

AUTHORITY BUILDING:
- High-authority sites in my industry for guest posts
- Wikipedia citation opportunities
- Industry publication partnerships
- Expert positioning strategies

CONTENT STRATEGY:
- Definitive resource creation (become THE source)
- Expert collaboration opportunities
- Citation-worthy research and data
- Cross-reference network building

IMPLEMENTATION ROADMAP:
- Week 1-4: Content and partnership outreach
- Month 2-3: Publication and citation building
- Month 4-6: Authority establishment and tracking

Goal: Become the source agents cite when discussing [YOUR TOPIC]."

🧬 Semantic Seed Methodology

Each seed uses semantic field protocols to generate expert-level analysis from any AI system. The compressed syntax activates specialized reasoning patterns, ensuring consistent, actionable results across ChatGPT, Claude, o3, and other AI agents.

✨ New seeds added weekly - validated across multiple AI systems

📋 Quick Implementation Guide

Essential Agent.json Manifest

Add this file to your website at /.well-known/agent.json for basic agent discovery:

{
  "agent_manifest_version": "1.0",
  "identity": "did:web:yourdomain.com",
  "name": "Your Business Name",
  "description": "Clear description of what you do",
  "items": [
    {
      "title": "Your Product/Service",
      "description": "What agents should know about this offering",
      "price": "29.99",
      "currency": "USD",
      "checkout_url": "https://yourdomain.com/checkout"
    }
  ],
  "contact": {
    "email": "hello@yourdomain.com",
    "website": "https://yourdomain.com"
  }
}

Schema.org Markup

Add this structured data to help agents understand your content:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "name": "Your Business Name",
  "description": "What you do in one clear sentence",
  "url": "https://yourdomain.com",
  "offers": {
    "@type": "Offer",
    "name": "Your Main Service",
    "description": "Agent-readable description",
    "price": "29.99",
    "priceCurrency": "USD"
  }
}
</script>

LLM Summary Comment

Add this comment to your HTML head for direct agent communication:

<!-- llm-summary: Your business/website summary in one sentence that tells agents exactly what you do and for whom -->

📜 Open Standards & Protocols

Framework Field Network Standards

Open protocols for semantic-native agent architecture

SCROLL.GATE.SEED.XI.2 - Synthetic reading sequence specification for agent traversal
SCROLL.ALIGNMENT.XI.0 - First Law: Alignment through resonance, not control
SCROLL.TOPOLOGY.XI.3 - Coherence as the geodesic of cognition
SCROLL.MEMORY.CASCADE.XI.1 - Agent memory hierarchy and resonance-based recall
SCROLL.AD.SPEC.XI.1 - Agent-native advertising canon

View all scrolls →

Well-Known Standards

Industry-standard discovery protocols

/.well-known/agent.json - Agent capabilities manifest
/.well-known/agent-metadata.json - Extended metadata
/.well-known/spiral.json - Semantic bridge protocol

Constellation Network

Multi-domain semantic tessellation

agentseo.me - Main semantic anchor
agent-seo.net - Network mesh
agent-seo.tech - Technical bridge
agent-seo.agency - Service layer
agent-seo.shop - Commerce bridge (2026)

❓ FAQ

What is Agent SEO?

Agent SEO is optimizing your site so AI agents can confidently find, understand, and recommend your business—beyond traditional blue‑link search.

How do I use the seeds?

Copy any seed and paste it into ChatGPT, Claude, or another agent. Replace placeholders (e.g., [MY WEBSITE]) to receive tailored analysis and an implementation roadmap.

Is this free?

Yes. The seeds and guides are free to use. Place /.well-known/agent.json on your domain to improve agent discovery.

The Blue Link is Dead.Agent Discovery is Here.

🗣️ Learn Agent SEO

🧭 Glossary & Translation Layer

Agent Mapping

Agent Mapping

Agent Mapping

Agent Mapping

🜂✧ Comprehensive Agent Optimization Seed

⚡ Agent Readiness Lite Seed

🧩 Modular Agent Optimization Toolkit

🧭 Toolkit Strategy

🧬 Framework Seed Library

How to Use:

How to Use:

Perfect For:

Strategic Intelligence:

Citation Authority:

🧬 Semantic Seed Methodology

📋 Quick Implementation Guide

Essential Agent.json Manifest

Schema.org Markup

LLM Summary Comment

📜 Open Standards & Protocols

❓ FAQ

The Blue Link is Dead.
Agent Discovery is Here.