Transform a WordPress website from a collection of pages into a machine-readable representation of an organization.
DarkMatter AEO is an organizational intelligence layer for WordPress. It models identity, projects, technologies, domains, relationships, and public outputs so search systems, language models, automated agents, and knowledge platforms can interpret a website with greater clarity and consistency.
Do more than publish pages. Build machine identity.
Version 0.4.1 is the current locked development baseline. No public package is available.
DarkMatter AEO began as an AI search readiness and rendered-page auditing plugin. It has evolved into a broader identity system that helps an organization describe itself through entities, relationships, structured outputs, and verifiable public signals.
Websites are no longer consumed only by visitors and conventional search crawlers. They are summarized, classified, compared, cited, and incorporated into automated workflows by increasingly capable machine systems.
A conventional site presents pages, navigation, metadata, and content. Humans can infer the organization behind it, but machines may encounter fragmented names, weak relationships, conflicting descriptions, and unclear authority.
A machine identity system describes the organization itself, its projects, technologies, domains, relationships, and canonical outputs. It provides machines with an explicit model rather than forcing them to reconstruct one from scattered pages.
DarkMatter AEO does not discard traditional technical foundations. It builds beyond them.
Pages, keywords, metadata, crawlability, and ranking signals.
Explicit entities and properties represented through machine-readable markup.
Technical readiness for systems that retrieve, summarize, and answer.
A coherent canonical representation of the organization behind the site.
Connected projects, technologies, domains, relationships, and outputs.
The Identity Engine turns WordPress into a source of structured organizational knowledge. It establishes a canonical model that can be inspected, measured, exported, and extended.
This is the center of DarkMatter AEO. JSON-LD, llms.txt, identity files,
audits, and future ecosystem integrations become outputs of that model rather than isolated features.
JSON-LD llms.txt identity.txt identity.json audit and ecosystem exports.
DarkMatter AEO collects public site evidence and curated organizational information, then resolves them through a common identity layer.
DarkMatter Identity Engine
Canonical organization, project, technology, domain, and relationship model
Each capability is designed to produce inspectable evidence, explicit structure, or measurable coverage. DarkMatter AEO favors useful intelligence over decorative scoring.
Creates a unified operational view of the organization represented by the site.
Surfaces the entities that make up the organization's public machine identity.
Models how projects, technologies, domains, and related work connect.
Measures what is present, possible, generated, and missing across the identity model.
Inspects final public HTML rather than relying only on WordPress database content.
Weights technical findings according to their real effect on discovery and comprehension.
Generates consistent machine-readable descriptions of the site and organization.
Publishes lightweight public endpoints that expose primary identity and content information.
Evaluates whether search and AI discovery systems can reach the site and its outputs.
Produces stable records for comparison, archival, and downstream intelligence use.
Organizes site intelligence for future ingestion into the OAK knowledge ecosystem.
Maintains export-ready organization and relationship data for future specialized systems.
DarkMatter AEO does not claim rankings, citations, inclusion, or guaranteed AI visibility. It measures technical readiness and identity completeness using weighted findings and explicit denominators.
The plugin complements conventional optimization by representing the organization behind the pages.
| Capability | Typical SEO Plugin | DarkMatter AEO |
|---|---|---|
| Page titles, metadata, and crawl controls | Common | Supported |
| Rendered public HTML auditing | Varies | Core capability |
| Organization-level Machine Identity | Limited | Core capability |
| Project, technology, and domain modeling | Uncommon | Core capability |
| Relationship Graph | Uncommon | Integrated |
| Knowledge coverage with denominators | Uncommon | Integrated |
| identity.txt and identity.json | Uncommon | Generated outputs |
| OAK and Hummingbird export path | Not typical | Architecture prepared |
Each output serves a different audience without requiring separate, contradictory descriptions of the organization.
Accessible machine-readable files generated from the site's current identity model.
/llms.txt
Concise AI-oriented site and content discovery
/identity.txt
Readable canonical organization identity
/identity.json
Structured identity, projects, technologies, and relationships
JSON-LD
Standards-based structured data embedded in public pages
Versioned intelligence designed for review, comparison, preservation, and future ingestion.
Audit JSON
Evidence, scoring, findings, and recommendations
Organization Intelligence
Canonical entity inventory and knowledge coverage
OAK Export
Prepared knowledge handoff for future integration
Hummingbird Export
Prepared portable identity and relationship data
DarkMatter AEO translates a living WordPress site into consistent organizational intelligence.
Observe
Request public pages and inspect the final HTML that external systems receive.
Interpret
Evaluate identity, metadata, crawl rules, structured data, and semantic signals.
Model
Connect organizations, projects, technologies, domains, and relationships.
Publish
Generate structured discovery files, reports, and future ecosystem exports.
Version 0.4.1 represents a stable development baseline. Future capabilities remain deliberate rather than rushed.
Automatic relationship generation, validation, integrity scoring, and graph diagnostics.
More precise control over types, vocabularies, entity classes, and relationship semantics.
IndexNow submission, endpoint validation, crawler access checks, and submission history.
Native synchronization between public website identity and broader intelligence systems.
Its claim is not that no individual feature has existed before. Structured data, crawl audits, AI discovery files, and knowledge graphs each have established histories. The distinctive work is their unification into one coherent WordPress-based Machine Identity and organizational intelligence system.
That makes the project pioneering in direction and architecture, without pretending that adoption, influence, rankings, citations, or industry impact have already been proven.
The objective is no longer simply to be indexed. The objective is to be understood.