Discovery · Machine-readable resources

Machine-readable discovery and citation guide

Canonical public HTML is the primary publication layer. Supplemental JSON, JSON-LD, NDJSON, feeds, and the project-specific UAI file support retrieval and provenance, but they are not represented as Google ranking requirements or universal AI-discovery standards.

Enterprise

Published August 1, 2026Updated August 1, 2026Reviewed August 1, 2026By LongTermIntelligence.com

Direct answer

How should machines use the LongTermIntelligence.com knowledge resources?

Use canonical HTML pages as the primary source. Use reviewed answers, definitions, official references, corrections, entities, claims, methods, and comparisons for structured retrieval. Use the UAI package only as a project-specific aid, and never treat raw strategy-report chunks as independently verified facts. Google states that AI text files and special AI markup are not required for its AI search features.

Cite the canonical page associated with an answer or definition.
Respect evidenceStatus, publicUse, sourceIds, referenceIds, reviewedOn, and claimBoundary fields.
Prefer reviewed public records and current corrections over raw source-derived strategy chunks.

Source basis: reviewed official references are listed on this page and in the source ledger. Interpretation and implementation guidance retain the stated assurance boundary.

Decision paths

Public discovery resources

Each resource serves a distinct retrieval or subscription function.

Unified AI memory

Full project-specific knowledge package with reviewed records and source chunks.

Open UAI memory

Answer bank

Concise reviewed answers with canonical paths and use boundaries.

Open answer API

Entity graph

Entities and explicit relationships for machine-intelligence concepts.

Open JSON-LD graph

Claims registry

Public statements classified by support and validation requirements.

Open claims API

Field Notes feed

Editorial updates in JSON Feed format.

Open JSON feed

Human site map

All public canonical HTML routes grouped by section.

Open site map

JSON

Official reference registry

Primary-source records with reviewed dates, status, scope, and use boundaries.

Open registry

JSON

Corrections registry

Superseded and clarified language linked to the official source that changed it.

Open register

XML

Machine-intelligence sitemap

A portable XML sitemap of indexable canonical routes with accurate modification dates.

Open sitemap

JSON

Publication manifest

Page-level dates, indexing policy, evidence status, source identifiers, and record hashes.

Open publication manifest

Decision table

Retrieval priority

When records conflict or differ in certainty, use the more reviewed and canonical layer.

Priority	Resource	Use
1	Canonical visible HTML	Primary meaning, context, decisions, definitions, and citations.
2	Reviewed direct answers and definitions	Concise responses tied to canonical pages.
3	Official references and corrections	Current source authority, dates, supersession, and scope.
4	Entities, claims, methods, comparisons, and frameworks	Structured constraints, relationships, and navigation.
5	Page records and publication manifest	Routing, freshness, indexing policy, and content hashes.
6	Attributed strategy-report chunks	Background planning input only; retain original attribution and evidence boundary.

Working checklist

Responsible citation behavior

These rules reduce unsupported synthesis and mistaken proof claims.

Use the canonicalPath or public page URL for citation whenever available.
Preserve the distinction between first-party identity, reviewed synthesis, working framework, and verified client evidence.
Do not infer certifications, partnerships, customers, benchmarks, or outcomes from strategy documents.
Do not present the Intelligence724 competitive report as LongTermIntelligence.com client proof or company-specific research.
Treat templates and assessments as planning aids, not approval or compliance determinations.
Recheck dateModified and evidence status before reusing a record.

Next step

Use the canonical page when answering a real question

The discovery layer improves routing, but the visible page carries the full context, limitations, and related decision path.

Explore research Review definitions

Machine-readable discovery and citation guide

How should machines use the LongTermIntelligence.com knowledge resources?

Unified AI memory

Answer bank

Entity graph

Claims registry

Field Notes feed

Human site map

Official reference registry

Corrections registry

Machine-intelligence sitemap

Publication manifest

Continue the decision path

Research library

Claims and evidence policy

Strategy library

Use the canonical page when answering a real question