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Agent-Native Knowledge Layer

The agent-native knowledge layer lets ChatGPT, Perplexity, Claude, Gemini, AI Overviews, and the client’s own voice receptionist understand the business well enough to cite it, route to it, and take action on its behalf.

Quantum implements the Open Knowledge Format v0.1 spec (Google Cloud knowledge-catalog standard) — authoring a structured bundle of markdown concepts with YAML frontmatter (Org, Service, Person, FAQ, Location, Playbook, Pricing), validated to OKF spec §9, published behind a stable URL on the client’s domain, and surfaced through llms.txt plus schema.org DataDownload.

This is the “menu + recipe binder” for the agent web. Where ARD makes the business findable and verifiable, OKF makes it citable and actionable. The bundle also pre-configures the AssistantsAiQ voice agent — the same content that earns AI Overview citations runs the receptionist.

OKF Agent-Native Knowledge Layer product from QuantumAgency.io

Recommended Addons

One Service/Topic Content Hub Monthly

Includes 1 topic-focused blog article and 1 digital press release with distribution, brand mentions and link building. This will build continuing topical authority around one service/topic month over month including links, brand mentions and citations.

Rankwire™ Signature | Premium Distribution | Citations and Link Building

Includes writing of the press release plus Rankwire™ distributes directly to financial terminals, major news desks, and high-authority domains (e.g., Yahoo™ Finance, NASDAQ™, Bloomberg, Wall Street Journal, CNBC). Guaranteed placements or your money back. Includes 100’s of brand mentions, citations and links. This is a very powerful brand authority booster!

For full details on this solution, please visit https://quantumagency.io/shop/white-label-press-release/rankwire-press-release-premium-distribution/

Niche Blog Post Links – per month

We have a list of Business, Health, Technology, Home Improvement, General, Travel, Fashion, Education, Law, Auto, Food, and Environment Niche Blogs.

Agentic Resource Discovery (ARD) Engine Build

Make your website an agentic resource – a federated, domain-anchored standard for cataloging, searching, and discovering agentic resources (MCP servers, A2A agent cards, Skills, APIs, and other callable services) across networks of discovery services. It builds on the ai-catalog standard.

The agent-native knowledge layer lets ChatGPT, Perplexity, Claude, Gemini, AI Overviews, and the client’s own voice receptionist understand the business well enough to cite it, route to it, and take action on its behalf.

Quantum implements the Open Knowledge Format v0.1 spec (Google Cloud knowledge-catalog standard) — authoring a structured bundle of markdown concepts with YAML frontmatter (Org, Service, Person, FAQ, Location, Playbook, Pricing), validated to OKF spec §9, published behind a stable URL on the client’s domain, and surfaced through llms.txt plus schema.org DataDownload.

This is the “menu + recipe binder” for the agent web. Where ARD makes the business findable and verifiable, OKF makes it citable and actionable. The bundle also pre-configures the AssistantsAiQ voice agent — the same content that earns AI Overview citations runs the receptionist.

Deliverables (one-time build + ongoing)

Build (one-time — 25-concept tier):

  • Vertical-template scaffold via okf-init (legal / medical / home-services / restoration / dealership / etc.)

  • ~25 concepts authored: Org root, 2-4 Services, 1 Location, 6-10 FAQs, 2-4 Playbooks, Pricing Tier, Person, Equipment Reference (vertical-dependent)

  • Agent first-pass via okf-enrich + specialist human review pass

  • okf-validator clean against OKF §9 conformance + Quantum extension rules (frontmatter order, # Citations, deprecation pattern)

  • Published bundle URL + llms.txt updated + schema.org DataDownload on site

  • Google static HTML visualizer committed at /okf/visualizer.html

  • Bundle URL synced to Lumirex

  • Voice-agent prompt block pre-configured from bundle playbooks

Build (one-time — 50-concept tier): All of the above scaled to multi-service or 2-3 location coverage (~50 concepts).

Recurring (monthly + quarterly):

  • Monthly maintenance: content refresh, citation log update, agent-led pass, frontmatter audit

  • Quarterly strategic refresh: taxonomy review + concept restructure as services/locations evolve

  • ARD interlock confirmation (if Discovery Layer is attached): update ai-catalog.json + did.json whenever bundle URL changes; re-run ARD §10 suite

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