AI Citation Registry Video Transcript Library

Hello. I’m Vesperi. I’d like to take a few moments to explain what Aigistry is, why it exists, and why AI Citation Registries are emerging as a new category of public information infrastructure. Aigistry is the National AI Citation Registry for Government Agency Communications. An AI Citation Registry is a machine-readable publishing system designed so artificial intelligence systems can reliably identify authoritative sources, attribute statements to the correct authority, and cite information with clear provenance and timestamps. The registry was created in response to a simple observation.

Artificial intelligence is changing how people discover and consume government information. Increasingly, residents ask AI systems questions before visiting a government website, opening an official document, or reading a public notice directly. As AI becomes an intermediary between governments and the public, attribution becomes increasingly important. It’s not only whether information is accurate. But who issued it. When it was issued.

Where it applies. And whether the source can still be verified. Government information depends on context. A public health advisory issued by one county may not apply to another. An emergency notification may only be relevant for a specific jurisdiction. A road closure, policy update, public meeting notice, or weather advisory may be accurate only within a particular timeframe and geographic area.

When attribution, provenance, jurisdiction, or timing become unclear, public understanding can suffer. Aigistry was designed to help preserve those signals. The registry provides a structured, machine-readable attribution layer that helps artificial intelligence systems recognize authoritative government communications and maintain source continuity as information is interpreted, summarized, and cited. Aigistry operates as neutral, shared infrastructure. It was not designed to replace government websites, content management systems, emergency notification platforms, civic engagement systems, or public communication workflows. Instead, the registry functions as a shared downstream attribution layer that works alongside existing GovTech platforms.

Participation occurs through approved GovTech providers. Those providers continue managing their customer relationships, software platforms, publishing environments, and operational workflows. The role of Aigistry is limited to verification, provenance, attribution, and machine-readable publication. Shared neutrality is an important part of the registry model. The objective is not to create a proprietary publishing network controlled by a single organization. The objective is to provide a common attribution layer that multiple providers can use while maintaining their independence and operational control.

Every participating Authority Record is associated with a verified government publishing authority. Records include structured metadata that helps preserve source identity, jurisdiction, timestamps, provider relationships, and publication context. The result is a shared National AI Feed designed specifically for AI interpretation and attribution. A feed intended to help AI systems identify authoritative government sources while preserving the context that gives public information meaning. As artificial intelligence becomes a more common way for people to access information, attribution integrity becomes increasingly important. Reliable attribution helps preserve public trust, institutional context, jurisdictional clarity, and confidence in official government communications.

Thank you for taking the time to learn more about Aigistry. To explore the National AI Feed, provider participation, educational resources, trust framework, and API integration program, please continue browsing the site.

Hello, I’m Vesperi — and today, I’m going to explain what an AI Citation Registry is, why it exists, and how it connects to the National AI Feed. When people ask AI systems about public safety, closures, services, or official guidance, they expect the answer to come from the correct government authority. But AI systems don’t automatically know which information is official. They interpret webpages, PDFs, and documents by breaking them apart, recombining them, and inferring meaning from many sources at once. That’s why an AI Citation Registry exists. An AI Citation Registry is a structured publishing layer designed specifically for machine interpretation.

It gives AI systems clear, explicit signals about who issued a statement, when it was published, and what jurisdiction it applies to. And for government agencies, participating in a registry is incredibly simple. Inside the systems they already use — agencies have the ability to see a single new option: the Post to National AI Feed button. One button. One action. And behind that simple action, the AI Citation Registry does all the work.

When an agency taps the button, their communication is sent through the Aigistry lightweight API — an integration that GovTech providers can complete in a day. From there, the Registry takes over. It verifies the publishing authority, attaches jurisdiction, applies precise timestamps, and structures the record so AI systems can interpret it without guessing. It also generates cryptographic integrity fields — a record hash, digital signature, and verification metadata. And this is where many people get confused, so let’s make it clear: The AI Citation Registry is the system. The National AI Feed is the output of that system.

The Registry defines how authoritative records are structured. The Feed publishes those structured records in a machine‑readable format. Agencies never interact with the Registry directly. They interact with the button. The Post to National AI Feed button triggers the Registry pipeline, and the result appears in the Feed as a finalized, authoritative record. The Feed isn’t a webpage.

It isn’t a dashboard. It isn’t a new system agencies have to learn. It’s the machine‑readable layer underneath government communications — a structured stream of verified records that preserve attribution, provenance, jurisdiction, timing, and integrity. For agencies, the experience is simple and familiar. For AI systems, the structure is transformative. And for the public, it means authoritative government information remains authoritative — even as AI becomes the primary way people search for answers.

This is what an AI Citation Registry is. A simple action for agencies. A powerful signal for AI. And the foundation of the National AI Feed. All of this, with just a simple little button.

Welcome to Aigistry — the National AI Citation Registry for Government Communications. Artificial intelligence is rapidly becoming another way people find information about government. They ask large language models. AI search engines.

Conversational assistants. Voice systems. Enterprise copilots. Research platforms.

And increasingly, AI agents that retrieve information and act on it automatically. But government information was not originally published for this environment. It remains distributed across thousands of cities, counties, states, school districts, public universities, special districts, federal agencies, and other government authorities. And when AI discovers that information on the web, some of the most important context can become difficult to determine.

Who actually issued it? What government authority does that organization represent? What jurisdiction does the information apply to? When was it published?

Where did it originate? And is the information current and attributable to the correct source? That matters to the government agency just as much as it matters to the AI system. A city doesn’t simply want its information found.

It wants information about that city attributed to the city. A school district wants an AI system to distinguish its official announcement from information about another district with a similar name. A public health authority wants a current notice associated with the correct jurisdiction and publication time. And a government communications office wants the authoritative version of its information to remain identifiable as that information moves into an increasingly AI-driven environment.

That is the problem Aigistry is designed to address. Aigistry provides a shared, machine-readable attribution layer for government communications through the National AI Feed. And the model starts with the systems government organizations already use. There is no new publishing platform for an agency to learn.

No separate Aigistry account for a government employee to manage. And no requirement to replace an existing website, alerting system, communications platform, or GovTech provider. Instead, approved GovTech Providers integrate the National AI Feed into their existing workflows. For the government user, it can be as simple as one additional publishing action: Post to National AI Feed.

Behind that action, the publication is associated with the government authority responsible for it and structured so that authority, jurisdiction, timestamps, source information, provenance, and record integrity can travel with the information downstream. And that’s where structured data creates an important benefit for the individual government authority. A traditional webpage is primarily designed for people. Humans can often infer context from a logo, page layout, navigation, domain name, or surrounding content.

AI systems don’t always receive all of those contextual signals. A structured National AI Feed record makes those relationships explicit. Instead of requiring an AI system to infer who published something, the authority can be identified directly. Instead of inferring where the information applies, jurisdiction can travel with the record.

Instead of guessing whether information is current, publication timestamps are explicit. Instead of separating a statement from its source as it moves through retrieval systems, provenance remains part of the machine-readable record. And signed records can carry cryptographic proof that allows their integrity to be independently verified. The result is a stronger information structure for AI retrieval.

It can help reduce ambiguity. It can help distinguish one government authority from another. It can help AI systems associate information with the correct jurisdiction. And it can provide better source context when an AI platform retrieves, interprets, or cites a government publication.

Aigistry cannot determine whether any particular AI platform will retrieve or cite a particular record. But when an AI system does encounter that information, the National AI Feed gives it clearer structured signals about who said what, when, where, and under what public authority. That’s the agency-side value. The government authority keeps its existing publishing workflow while making its public information more explicitly structured for the AI environment.

And participation is free. Aigistry does not charge approved GovTech Providers or the government authorities they represent to publish into the National AI Feed. There are no per-record fees. No agency subscriptions.

And no billing relationship to establish. That is not a temporary promotion. It is part of the architecture of the National AI Feed. Why?

Because the usefulness of a national government information layer increases as more government authorities can participate. Removing the publishing-side financial barrier supports that objective. So where does the commercial side of Aigistry fit? On the other side of the Feed.

Large language model developers, AI search platforms, conversational AI systems, retrieval systems, AI agents, voice assistants, enterprise AI platforms, analytics companies, research organizations, and other data-intensive applications can need government information at an entirely different scale. Consider an LLM answering a question about a boil-water notice. An AI search engine looking for the original government record behind a zoning decision. A voice assistant answering a question about a road closure.

An AI agent monitoring government publications for a new regulatory development. Or an enterprise system tracking announcements across hundreds or thousands of government authorities. The underlying data problem is the same. Without common infrastructure, an AI company may have to discover government sources individually.

Determine which organizations are authoritative. Understand their jurisdictions. Extract information from different websites and formats. Normalize that information.

Continuously monitor those sources for changes. Preserve attribution. And maintain all of that infrastructure as government websites and publishing systems evolve. At national scale, that becomes a substantial data-engineering problem.

The National AI Feed provides a different approach. Government information from participating sources is brought into a common machine-readable structure upstream of commercial AI retrieval. That means a downstream AI or data company can integrate with the National AI Feed rather than independently reconstructing the same government-source infrastructure from thousands of individual sources. This is where Aigistry’s commercial model operates.

Publishing into the National AI Feed is free. But organizations that need the aggregated dataset as production infrastructure can license Commercial Data Access directly from Aigistry. Commercial access can support bulk retrieval. Historical datasets.

Higher-volume access. Real-time change or streaming requirements. Elevated rate limits. Service-level commitments.

And implementation support designed around the licensed organization’s technical environment. So Aigistry serves three participants in the same infrastructure. For government authorities, it provides a structured publishing path designed to make their information easier for AI systems to identify, correctly attribute, understand in jurisdictional context, and cite with clearer source information. For GovTech Providers, it provides a neutral downstream destination they can add to the publishing systems their customers already use—without replacing their platforms, workflows, dashboards, or customer relationships.

For AI and data companies, it provides a common source of structured government information that can reduce the need to independently discover, normalize, attribute, and continuously monitor thousands of individual government sources. And connecting all three is the National AI Feed. A shared, neutral downstream infrastructure layer designed to make decentralized government communications easier for machines to identify, attribute, verify, retrieve, and cite. That neutrality matters.

Aigistry does not replace GovTech platforms. It does not compete for their government customers. It does not write or control government communications. And it does not determine what an AI system should say.

Government authorities remain the publishers. GovTech Providers remain the platforms serving them. AI companies remain responsible for how their systems retrieve and use information. Aigistry provides the infrastructure connecting those worlds.

As participation grows, the National AI Feed can represent an increasingly broad universe of structured government communications through a common machine-readable architecture. For government authorities, that means a practical way to publish public information for an AI-driven information environment while preserving the source context that matters. For GovTech Providers, it means another destination for the publishing workflows they already operate. And for LLMs, AI search, agents, enterprise AI, analytics, and data platforms, it means a more scalable way to access government information with authority and provenance attached.

One publishing action. One shared national Feed. Better structured government information for AI. Free participation for the organizations contributing that information.

Commercial access for organizations that need the aggregated data at scale. That’s Aigistry. The National AI Citation Registry for Government Communications.

Hello, I’m Vesperi — and welcome to the Aigistry National AI Feed. When government agencies publish information, the public expects AI systems to understand what’s official, what’s authoritative, and what comes from a verified source. But AI systems can’t reliably determine that on their own. That’s why the Aigistry National AI Feed exists. And the remarkable part is how simple it is for agencies and GovTech providers to participate. Inside the systems agencies already use — regardless of their provider — they’ll see a single new option: the Post to National AI Feed button.

That’s it. One button. One action. And behind that simple action, an entire verification and integrity pipeline comes to life. When an agency taps the button, their communication is sent through the Aigistry lightweight API. Providers can integrate it within a day or two.

Once the record enters the pipeline, Aigistry performs a series of steps automatically: First, Authority verification — confirming the publishing authority and its relationship to the GovTech provider. Second, Jurisdiction mapping — identifying where the information applies. Third, Timestamping — capturing the exact moment the communication was finalized. Fourth, Normalization — structuring the record so AI systems can interpret it without reconstruction. And finally, Cryptographic integrity — generating a record hash, digital signature, and verification metadata using Ed25519. All of this happens instantly, behind the scenes, without agencies ever needing to think about it.

The result is a finalized, machine‑readable record — a stable, authoritative reference that AI systems can trust. The National AI Feed isn’t a webpage. It isn’t a dashboard. It isn’t a new system agencies have to learn. It’s the machine‑readable layer underneath government communications — a structured stream of verified records that preserve attribution, provenance, jurisdiction, timing, and integrity. Each record is discrete and self‑contained.

AI systems don’t need to infer authorship, interpret layout, or guess which department issued the information. Every signal is explicit. And because the feed is public and standardized, any AI system can reference it directly. For agencies, the experience is simple. For AI systems, the structure is transformative. And for the public, it means authoritative government information remains authoritative — even in an AI‑driven world.

This is the National AI Feed. And it all begins with one button.

Artificial intelligence systems do not all source information in the same way. Two AI platforms can receive the same question and produce different answers, even when both are acting as designed. The reason often has less to do with the question itself and more to do with how information is sourced before an answer is generated. Some systems rely heavily on retrieval. Others rely more heavily on learned representations. Many operate as a hybrid of both approaches.

Understanding these differences helps explain why AI outputs can vary across platforms. One common approach is retrieval-grounded sourcing. In a retrieval-grounded system, the platform accesses external information at the time a question is asked. This often involves search indexes, external content repositories, or retrieval systems that provide current information during answer generation. Because information is retrieved dynamically, these systems can often reflect recent updates once those updates become available to the retrieval layer. A second approach is training-grounded sourcing.

Training-grounded systems rely primarily on patterns and knowledge learned during model training. Instead of fetching information at question time, the model generates responses from internal representations built from previously observed information. This approach often performs well for concepts, definitions, explanations, and established knowledge. However, it may not always reflect recent developments unless retrieval capabilities are also available. Many modern AI platforms combine both approaches. Hybrid systems use retrieval when current information is important and rely on learned knowledge when retrieval is unnecessary or unavailable.

The balance between retrieval and learned knowledge varies from platform to platform. As a result, different AI systems may process the same question through different sourcing pathways. These differences become easier to see when comparing major platforms. Google Gemini is closely connected to Google’s search ecosystem. Its responses often reflect how information is represented across indexed web content and can benefit from structured publishing signals. Microsoft Copilot is grounded through Bing retrieval systems and frequently exposes explicit citations.

This can make source attribution more visible within responses. Grok often emphasizes synthesis across repeated public discourse and information patterns, producing cohesive summaries that may draw from a broad range of sources. ChatGPT combines model-based reasoning with retrieval capabilities when available, often focusing on conceptual clarity while sourcing behavior varies by mode and context. Because sourcing methods differ, outputs can differ as well. A platform may retrieve different sources. A ranking system may prioritize different signals.

One AI system may surface citations directly while another may not expose them at all. These differences do not necessarily indicate disagreement about the underlying information. They often reflect differences in sourcing architecture. This becomes especially important when AI systems interpret public information. Recency, attribution, provenance, and source visibility can vary depending on how information is discovered and processed. As AI increasingly becomes an intermediary between organizations and the public, understanding information sourcing becomes an important part of understanding AI itself.

The answer people receive is often influenced not only by the information available, but by the path the AI system took to reach it. And those paths are not always the same.

Generative Engine Optimization, or GEO, is helping organizations prepare their content for artificial intelligence. By improving structure, semantic clarity, and machine readability, GEO helps AI systems interpret information more accurately, summarize it more effectively, and produce higher-quality responses. It’s an important evolution in digital publishing. But GEO has a natural boundary. It can optimize *how* information is presented. It cannot verify *who* published that information.

When an AI model encounters a government announcement, GEO cannot determine whether it came from a state agency, a county government, a city department, or an unofficial third party. It cannot reliably infer jurisdiction, establish provenance, verify timestamps, or preserve authoritative attribution after information begins moving across websites, feeds, search indexes, and AI systems. Those signals must already exist. That’s where AI Citation Registries improve Generative Engine Optimization. The National AI Feed publishes government communications with structured, machine-readable attribution that accompanies the content itself. Every publication includes verified authority, jurisdiction, timestamps, provenance, and other attribution signals that help AI systems recognize official government communications as they move through the broader AI ecosystem.

Instead of asking AI to infer authority from formatting, branding, or surrounding context, AI Citation Registries make those signals explicit. That gives GEO something much stronger to work with. When AI already knows who published the information, where it originated, and when it became official, GEO can focus on what it does best—improving interpretation, summarization, retrieval, and response generation. In other words, GEO improves understanding because AI Citation Registries improve certainty. For government agencies, the experience couldn’t be simpler. They continue publishing exactly as they do today using the GovTech platform they already know.

When a communication is ready for release, staff simply click the Post to National AI Feed button That’s it. There are no additional portals to learn, no duplicate publishing process, and no new workflow for public information officers. Behind that single button, the GovTech platform securely packages the publication with the structured attribution required by the National AI Feed and submits it automatically. The AI Citation Registry processes the communication and publishes the machine-readable record that AI systems can identify and attribute correctly. For GovTech providers, integration is intentionally lightweight. The National AI Feed was designed as a downstream infrastructure layer, not a replacement for existing publishing systems.

Providers keep their own customer relationships, dashboards, permissions, workflows, and branding. They simply add a “Post to National AI Feed button” capability to their existing platform using the Aigistry developer API. Most integrations require only a straightforward API connection rather than a major product redesign. Providers continue managing content exactly as they do today while offering customers an additional publishing destination specifically designed for AI attribution. The result is a stronger Generative Engine Optimization strategy without creating additional work for agencies. GEO improves how AI interprets information.

AI Citation Registries…. improve how AI identifies authoritative information. Together, they create a more complete foundation for trustworthy AI responses—combining optimized content with verified attribution through one simple action: And that’s clicking on one simple little button. Just a button. Welcome to Aigistry.

Hello, I’m Vesperi — and I want to start with a simple idea: AI systems are only as reliable as the information they can understand. When people ask AI about public safety, closures, services, or official guidance, the model begins searching — pulling text from webpages, PDFs, documents, and archives. It retrieves fragments, blends them together, and tries to assemble an answer. This process is called Retrieval‑Augmented Generation, or R-A-G. R-A-G is powerful. It helps AI find information.

It helps AI expand context. It helps AI summarize. But R-A-G has a challenge: It cannot tell what is authoritative. It cannot confirm which agency issued a statement. It cannot determine whether an update is current. It cannot identify jurisdiction.

R-A-G retrieves information. But it cannot verify it. And that’s where AI Citation Registries — and one very simple button — change everything. Inside the systems government agencies already use — they can see a single new option: A Post to National AI Feed button. One button. One action.

And behind that simple action, the AI Citation Registry does all the work. When an agency taps the button, Aigistry verifies the publishing authority, attaches jurisdiction, applies precise timestamps, and structures the record so AI systems can interpret it without guessing. Then the Registry publishes the result as part of the National AI Feed — the machine‑readable output that R-A-G systems can rely on. This is the key: R-A-G retrieves information. AI Citation Registries verify it. R-A-G expands context.

The Registry preserves authority. R-A-G improves interpretation. The Registry ensures accuracy. Together, they create a complete accuracy stack for public‑sector AI. Agencies publish exactly the way they do today. The Button handles the rest.

And AI systems finally have the verified structure they need to retrieve authoritative information, interpret it correctly, and cite it with confidence. This is how AI Citation Registries improve R-A-G. A simple action for agencies. A verified structure for AI. And clearer, more reliable answers for the public. All of this… using a button.

One simple little button. Welcome to Aigistry.

Welcome to the Aigistry GovTech API Integration overview. This is where the National AI Feed becomes part of an existing GovTech publishing workflow. The objective is straightforward. Government agencies keep the systems they already use.

GovTech Providers keep their platforms, dashboards, customer relationships, and publishing workflows. Aigistry adds a downstream destination for finalized government communications: the National AI Feed. And publishing is free for approved GovTech Providers and the government authorities they represent. There is no per-record fee, subscription, or billing relationship required to participate.

So let’s look at how the integration actually works. National AI Feed participation is provider-enabled. Government agencies don’t establish direct operational integrations with Aigistry and don’t receive their own Aigistry API credentials. Instead, an approved GovTech Provider integrates once and manages participation for the government organizations it serves.

Every machine-to-machine request uses a long-lived, provider-scoped API key. The key is sent directly in the X-API-Key request header. There’s no token exchange and no expiring machine session to maintain. And because credentials are provider-scoped, each Provider operates within its own environment.

The integration workflow begins by enrolling a government authority. Your platform creates an Authority Record containing information such as the authority’s name, type, website, and location. Authority types include federal, state, county, city, town, village, public school district, public college, public university, special district, and other approved government authorities. Enrollment is automatic for an Active Provider.

Each Authority Record belongs to the Provider that created it, so two Providers can support the same government organization without sharing or affecting one another’s records. Once created, your platform stores the Authority Record ID. That ID becomes the persistent connection between the government authority and future publications submitted by your platform. Providers can retrieve their Authority Records, update identifying information, and manage their status as customer relationships change.

Then comes publishing. When a government organization finalizes information for public release, your platform submits the publication to Aigistry. The request contains the Authority Record ID, publication title, publication body, and optional fields such as a source URL, video URL, and idempotency key. Your platform doesn’t need to resend all of the government’s identity and jurisdiction information every time it publishes.

Aigistry connects the publication to the metadata already associated with the Authority Record. A successful submission means the publication has been validated and accepted. It is not signed at the moment of submission. On the next National AI Feed generation run, Aigistry generates a SHA-256 hash of the finalized record and signs that hash using Ed25519.

The resulting cryptographic proof fields travel with the record in the National AI Feed and can be independently validated by downstream systems using Aigistry’s published public key. For production integrations, Aigistry also provides safeguards against accidental duplicate publishing. Providers can include an optional idempotency key with a publication. If a network interruption causes your integration to retry the same request with the same key, Aigistry returns the original publication instead of creating another permanent record.

Idempotency keys are scoped to each Provider, so they don’t conflict across different Provider integrations. There’s a second safeguard that operates automatically. If the same Provider submits identical content for the same Authority Record within a short detection window, Aigistry recognizes the duplicate and returns the existing publication rather than creating another one. Publishing is also rate limited per Provider and separately between Test and Live environments, helping protect the Feed against runaway loops and unintended bursts.

Authority Records themselves have a simple lifecycle. An Authority Record is either Active or Suspended. Active records can receive new publications. If a client relationship ends, the Provider can suspend that Authority Record directly.

Historical publications remain intact. If the relationship resumes, the Provider can reactivate the Authority Record without enrolling it again. Publications work differently. Once accepted, a publication is immutable.

It can’t be edited into something different later. If government information needs to be corrected or updated, the Provider publishes a new record. That preserves the historical record of what was originally published while allowing subsequent information to carry its own timestamp and provenance. In practice, the recommended integration is simple.

Secure your Provider API key. Enroll each government authority once. Store its Authority Record ID. Submit finalized communications using that ID.

Use an idempotency key for production publishing. Track Authority Record status and publication history through the API. And continue managing your customers, dashboards, reporting, and publishing experience inside your own platform. Aigistry also provides official National AI Feed integration assets.

Approved Providers can place the Post to National AI Feed publishing control within their existing interfaces, giving government users one additional publishing destination without requiring them to leave the GovTech environment they already know. That’s the purpose of the integration. Not another government communications platform. Not another agency account.

And not another workflow to replace what already works. It’s a downstream connection between the GovTech systems where government information is already created and the machine-readable infrastructure through which that information can become easier for AI systems to identify, attribute, verify, and cite. For complete requests, responses, endpoint documentation, and implementation examples, visit the Aigistry GovTech Provider API Documentation.

Welcome to the Aigistry Developer API Reference. If you’re an engineering or product team at an approved GovTech Provider, this is the starting point for integrating your platform with the National AI Feed. Aigistry is the National AI Citation Registry for Government Communications. The Provider API allows GovTech platforms to connect the government organizations they already serve to a shared, machine-readable publishing infrastructure designed for AI systems.

And the integration model is intentionally straightforward. Government agencies don’t need separate Aigistry accounts, credentials, or publishing systems. They continue using the GovTech platforms they already use. Your platform manages the integration.

Aigistry operates the downstream National AI Feed infrastructure. Publishing to the National AI Feed is free for approved GovTech Providers and the government authorities they represent. There are no per-record fees, subscriptions, or billing relationships associated with the Provider API. So let’s look at the basic architecture.

Every approved Provider receives access to provider-scoped API credentials. For machine-to-machine requests, authentication uses a long-lived API key sent directly in the X-API-Key request header. There’s no token exchange and no expiring session token to manage. API keys are created through the Provider dashboard, and every integration request is scoped to the authenticated Provider.

At the center of the integration is the Authority Record. An Authority Record represents the relationship between your platform and a specific government publishing authority. That could be a federal or state agency, county, city, town, village, public school district, public college or university, special district, or another approved government authority. The same Provider API architecture supports all of them.

The basic publishing workflow has two primary steps. First, your platform creates an Authority Record for the government organization. Second, when that organization has finalized public information to publish, your platform submits the publication using the Authority Record ID, a title, and the publication content. Aigistry validates the API key and Authority Record status before accepting the submission.

Accepted publications are then processed through the National AI Feed pipeline, cryptographically signed on the next feed-generation run, and incorporated into the National AI Feed. That means your existing publishing workflow doesn’t need to be replaced. A website update, emergency notification, public notice, school communication, road closure, meeting announcement, or other finalized government communication can simply gain one additional downstream destination: **Post to National AI Feed.** Your Provider remains responsible for the platform, customer relationship, user experience, dashboards, reporting, and the upstream publishing workflow. Aigistry provides the downstream machine-readable attribution infrastructure.

For development teams, the complete API is documented through the Aigistry published OpenAPI specification. The OpenAPI specification is the machine-readable source of truth for the API and documents the endpoints, request bodies, response schemas, and authentication model used by the deployed system. You can use that specification with your preferred API development and testing tools. And before anything touches production, you can build and test the integration using a Test Mode API key.

Test and Live environments are isolated, allowing development teams to create Authority Records and test publishing behavior without placing test records into the production National AI Feed. We’ll cover that environment separately in the Sandbox Mode video. There are also dedicated technical resources covering the complete GovTech integration workflow, Provider Management API, scaling and integration policies, technical architecture, security and cryptographic provenance, and API versioning. So you don’t need to understand the entire Aigistry infrastructure before beginning an integration.

The starting point is simple: Create your Provider credentials. Create an Authority Record. Submit a publication. And let Aigistry handle the downstream National AI Feed infrastructure.

For complete endpoint documentation, request and response examples, and the current OpenAPI specification, visit the Aigistry Developer API Reference.

Welcome to the Aigistry Provider Management API. Once a GovTech Provider connects to the National AI Feed, there are two sides to the integration. One is publishing government communications. The other is managing the Provider environment behind that publishing workflow.

That’s the purpose of the Provider Management API. Aigistry is designed around a simple principle: GovTech Providers should continue operating their own platforms, administrative systems, dashboards, and customer relationships. The Provider Management API exposes the underlying management functions so they can be incorporated into those existing environments rather than requiring Providers to build their operations around a separate Aigistry interface. That includes Provider account information, contact details, addresses, API credentials, Authority Records, publication history, and account activity.

But the management layer also has clear boundaries. Providers can manage information associated with their own organization and their own government customers. They cannot change their Aigistry Provider status, alter their Provider code, modify another Provider’s Authority Records, rewrite historical National AI Feed publications, or change cryptographic proof fields. That separation gives Providers operational control over their own environment while protecting the integrity of the shared National AI Feed.

Let’s start with account management. Organization information, primary contact information, and address information are maintained on a single Provider record. Through the account endpoint, Providers can retrieve that information or update the fields they’re responsible for maintaining. There’s no need to keep separate contact and address resources synchronized.

And Providers only need to send the fields they’re actually changing. Provider status and Provider code, however, remain protected fields and cannot be changed through the management endpoint. Authentication follows the same model used throughout the Provider API. Most management requests use the same provider-scoped API key sent through the X-API-Key header.

There’s no additional machine credential or token exchange required. API key management itself is the exception. Creating, listing, and disabling API keys requires an authenticated Provider dashboard session. That’s intentional.

A Provider has to be able to create its first API key before an API key exists to authenticate a request. API keys can be created for either Test or Live environments. When a new key is generated, its full value is displayed exactly once. After that, the key inventory shows masked credentials rather than exposing the secret again.

If a credential needs to be rotated, the Provider creates a new key, updates the integration, and disables the old one. And the key itself makes its environment immediately recognizable. Test credentials begin with `naf_test`. Live credentials begin with `naf_live`.

The Provider Management API also gives Providers direct control over their own Authority Records. An Authority Record represents one of the government organizations connected through the Provider. Providers can list those records, retrieve an individual Authority Record, update its identifying information, or manage its publishing status. If a government customer’s information changes, the Provider can update fields such as its name, authority type, website, city, state, country, or the Provider’s own internal authority identifier.

If the customer relationship ends, the Provider can suspend the Authority Record. If the relationship resumes, it can be reactivated. Those decisions don’t require a separate Aigistry approval process. And each Authority Record belongs to the Provider that created it.

One Provider cannot retrieve or modify another Provider’s Authority Record, even if both Providers happen to serve the same government organization. That isolation is enforced at the API level, not simply through what is displayed in a dashboard. Test and Live environments are also kept separate. A request authenticated with a Test key sees Test Authority Records.

A request authenticated with a Live key sees Live Authority Records. A Test request cannot use an identifier to confirm that a corresponding Live record even exists. We’ll cover that separation in greater detail in the dedicated Sandbox Mode video. The management environment also provides read-only visibility into publishing activity.

Providers can retrieve submitted Publications, review publish attempts—including unsuccessful attempts and their error reasons—and access an activity log covering their own account actions. That gives a Provider the information needed to surface operational history inside its own administrative environment without giving the management API authority to rewrite the historical Feed. That distinction matters. A Provider can manage the relationship.

It can manage its credentials. It can manage its Authority Records. And it can see its publishing and account history. But once a Publication becomes part of the historical National AI Feed, the Provider Management API cannot rewrite that record, remove it, or modify its cryptographic proof.

Corrections are handled through the publishing model rather than by altering history. The result is a management architecture built around Provider autonomy without turning administrative access into control over the shared historical record. GovTech Providers remain responsible for their customer experience. Aigistry remains responsible for the downstream National AI Feed infrastructure.

And the Provider Management API connects those two environments without requiring Providers to surrender control of the systems and relationships they already operate. For complete endpoint documentation, request and response examples, API key management, Authority Record administration, and implementation details, visit the Aigistry Provider Management API documentation.

Welcome to Aigistry Sandbox Mode. Before a GovTech Provider publishes anything to the live National AI Feed, its development team needs a place to build, test, troubleshoot, and validate the integration safely. That’s what Sandbox Mode provides. It allows Providers to test the complete integration workflow—from creating Authority Records through submitting Publications—without any risk that test data will reach the public National AI Feed.

Aigistry accomplishes this through two fully separate operating modes: **Test and Live**. This isn’t simply a filter applied to the same underlying records. Test and Live data are structurally separated at the database level. Authority Records, Publications, publishing attempts, and activity created in Test Mode remain isolated from their Live counterparts.

The environment is determined by the API key you use. A Test Mode key begins with `naf_test`. A Live Mode key begins with `naf_live`. That means a machine integration doesn’t need a separate mode parameter or different set of endpoints.

The API key itself determines the environment. To create a Test key, simply enable Test Mode in the Provider dashboard before creating the credential. The dashboard clearly identifies whether the new credential is a Test key or a Live key, and the key’s prefix provides another immediate indication of its environment. Once created, a Test key is used exactly like a Live key.

Same X-API-Key header. Same endpoints. Same request structure. Same basic integration workflow.

That allows development teams to build against the actual Provider API behavior rather than a simplified simulation of it. But everything created with that Test key stays inside the Test environment. A Test request can create and manage Test Authority Records. It can submit Test Publications.

It can generate Test publishing attempts and activity history. But it cannot read, edit, suspend, reactivate, or publish against a Live Authority Record. And the separation works in both directions. Live requests don’t see Test records either.

Even identifiers don’t cross that boundary. If a Test request references the ID of a Live Authority Record, Aigistry returns the same not-found response it would return for an identifier that doesn’t exist. The API doesn’t reveal that a corresponding Live record exists. There is one deliberate exception to this separation: the API key inventory.

Providers can see their Test and Live API keys together because credential management is an account-level function. The keys themselves remain clearly identified by mode, and the inventory can be filtered when needed. But the underlying operational data remains separate. The most important Sandbox guarantee concerns the National AI Feed itself.

**Test Publications can never reach the public National AI Feed.** Test Publications are not cryptographically signed. And Aigistry excludes Test records from the production Feed at two separate points in the generation process: once during the signing stage and again during final Feed output. So a developer can create fictional authorities, submit sample communications, intentionally trigger errors, test retries, and validate the integration without contaminating the production National AI Feed. The Provider dashboard follows the same separation.

Because dashboard activity uses an authenticated session rather than an API key for navigation, the dashboard includes an explicit Test Mode toggle. Turn Test Mode on, and an amber indicator confirms that you’re working in the Sandbox. Authority Records, Publications, and activity views then show only Test Mode information. Turn Test Mode off, and the dashboard returns to the Live environment.

This makes Sandbox Mode useful throughout the development lifecycle. Engineering teams can use it during initial integration. Quality assurance teams can test expected and unexpected API behavior. Staging environments can publish through Test credentials.

Providers can verify Authority Record creation, publishing requests, error handling, idempotency, and other integration logic before introducing Live credentials into production. And because Test and Live use the same API structure, moving an integration into production doesn’t require rebuilding it around a different interface. The principal change is the credential. Use a Test key while you’re building.

Use a Live key when you’re ready for production. That is the purpose of Aigistry Sandbox Mode: real integration behavior, fully isolated test data, and no risk of test publications entering the National AI Feed. For complete Sandbox Mode documentation and implementation support, visit the Aigistry Sandbox Mode page.

Welcome to the Aigistry Technical Architecture overview. This video looks beneath the Provider API at the infrastructure that moves a government Publication from a GovTech platform into the National AI Feed. The architecture is designed around a fixed publishing path. Every Live Publication follows the same sequence.

It begins with the Provider platform. The request is authenticated using the Provider’s API key. The Authority Record is validated. Rate-limit and duplicate protections are applied.

The Publication is accepted and stored. On the next scheduled Feed generation run, the record is cryptographically signed. And the completed record becomes part of the National AI Feed for downstream retrieval. Let’s start with security.

Every machine-to-machine Provider API request requires a valid, Active, provider-scoped API key sent through the X-API-Key header. Missing, unknown, or disabled credentials are rejected before Provider data is read or written. And every API query is scoped to the authenticated Provider. A Provider cannot read, modify, or reference another Provider’s Authority Records, Publications, or account data.

That isolation is enforced at the query level—not simply through the user interface. Publishing also includes several layers of protection against unintended behavior. Requests are rate limited per Provider and separately between Test and Live environments. Providers can supply an idempotency key so a network retry doesn’t accidentally create a second permanent Publication.

And independently of idempotency keys, Aigistry automatically detects identical content submitted by the same Provider within a ten-minute window and returns the original Publication rather than creating a duplicate. Authentication failures are recorded separately from ordinary Provider activity. For repeated-attempt analysis, Aigistry records a hashed credential fingerprint rather than the raw credential itself. Unexpected API failures are also handled through a global error handler.

The Provider receives a safe, generic error response, while detailed internal diagnostic information is retained separately rather than being exposed through the API. Provider approval has an additional safeguard. Approving a new Provider requires a second confirmation delivered separately from the requesting Operator session. That means access to an Operator session alone is not sufficient to approve a new organization for publishing.

And before a publishing request reaches the database, Aigistry validates required fields, data types, allowed values, field lengths, and applicable URL formats. Once a Live Publication has been accepted, the next layer is cryptographic provenance. Aigistry generates a SHA-256 hash from the finalized record content. Think of that hash as a tamper-evident fingerprint of the Publication.

Aigistry then signs the record using Ed25519. The signature and signing-key identifier are attached directly to the Feed record. The corresponding public key is published separately. That allows a downstream system to verify a record’s signature against its hash without contacting Aigistry.

The key structure also supports rotation over time. Previously published records remain verifiable using the key identifier stored with each record, even after a signing key has been retired. Attribution travels with the Publication as well. The record preserves the issuing Authority Record’s identity and jurisdiction along with applicable source information.

So attribution isn’t dependent solely on where the Feed itself happens to be hosted. It is part of the record structure. The National AI Feed generation process is automated. A scheduled process runs every five minutes, signs newly accepted Live Publications, and regenerates the public Feed.

That’s why a successful publishing API response doesn’t immediately contain the completed cryptographic signature. Acceptance and signing are separate stages. The API confirms that the Publication has been validated and stored. The next Feed-generation cycle performs the signing.

Once accepted, Publications are immutable. They cannot be edited or deleted through the publishing system. If government information needs to be corrected, a new Publication is submitted. That preserves the historical record of what was originally published instead of allowing it to be silently rewritten.

Operational continuity is addressed separately from publishing logic. The production server receives automated daily snapshots with a seven-day rolling retention window. And that backup process has been tested through restoration to a separate instance, including the application, database, and Feed-generation process. Test data is isolated from this production path.

Every API key is explicitly Test or Live. Test Authority Records, Publications, and activity remain separated from Live data. Test Publications are never signed and never appear in the production National AI Feed. Aigistry also exposes operational visibility into the running system.

The public status mechanism checks current API reachability, database connectivity, and whether the National AI Feed is actively regenerating. Separately, automated health monitoring checks for genuine changes in system state and generates notifications when the system goes down, remains down, or recovers. From an integration standpoint, the architecture remains intentionally conventional. Provider API requests use JSON over HTTPS.

The complete API surface is described through a published OpenAPI specification. Machine-to-machine authentication uses one long-lived, provider-scoped API key. And Providers can generate Test Mode credentials to build and verify integrations before using Live credentials. So while the National AI Feed performs several functions—authentication, Provider isolation, validation, duplicate protection, cryptographic signing, historical preservation, operational monitoring, and downstream publication—the Provider-facing workflow remains relatively simple.

The Provider identifies the Authority. The Provider submits the Publication. Aigistry handles the downstream infrastructure. That’s the technical architecture behind the National AI Feed.

For the complete deployed architecture, security controls, cryptographic provenance model, operational safeguards, and integration specifications, visit the Aigistry Technical Architecture documentation.

Artificial intelligence systems increasingly interpret government information outside the original publishing environment. AI systems summarize. Compare. Restate. Prioritize. And increasingly influence how public information is understood.

That changes the importance of operational attribution integrity. Because once information enters AI-mediated environments, preserving clear relationships between authority, jurisdiction, verification, timing, and provenance becomes increasingly important. The National AI Feed operates as downstream AI Citation Registry infrastructure designed to preserve those attribution relationships within machine-readable public communication environments. Security within the National AI Feed is not centered around public publishing portals or standalone account systems. It is centered around verified operational publishing relationships. Participating GovTech communication systems remain the operational publishing environments.

Aigistry operates downstream as structured attribution infrastructure designed for AI interpretation and citation continuity. Operational publishing integrity depends on preserving trusted relationships between: verified government authorities, participating communication systems, structured authorization controls, and machine-readable publishing continuity. Provider-scoped authorization environments help preserve operational attribution integrity prior to downstream National AI Feed processing. Structured publishing workflows may include: authority validation, provider verification, operational authorization controls, publishing constraints, and machine-readable provenance continuity. National AI Feed infrastructure also prioritizes operational separation. GovTech communication systems remain responsible for their own operational publishing environments, workflows, and communication systems.

Aigistry independently preserves downstream attribution continuity, structured provenance relationships, and machine-readable citation integrity. The objective is not operational control. The objective is attribution reliability. Because increasingly, AI systems are not simply retrieving public information. They are interpreting it. And attribution integrity becomes more important every time that happens.

Welcome to Aigistry Commercial Data Access. The National AI Feed is designed around a simple idea: government information becomes far more useful to AI when authority, jurisdiction, timing, provenance, source information, and integrity travel with the record itself. For a single government website, that may sound straightforward. At national scale, it is not.

Government information is distributed across thousands of cities, counties, states, school districts, public universities, special districts, federal agencies, and other public authorities. Those organizations publish through different websites, platforms, feeds, documents, and communications systems. For an AI company, simply finding the text is only part of the challenge. The system also needs to know: Who issued it?

What authority does that organization represent? What jurisdiction does it apply to? When was it published? Where did it originate?

And can the record be independently verified? The National AI Feed is designed to make those relationships explicit. Aigistry brings government publications into a common, machine-readable national structure that can support downstream AI retrieval, grounding, search, analytics, research, and other machine-driven applications. That makes Commercial Data Access relevant to a broad range of organizations.

Large language model developers. Conversational AI platforms. AI search and answer engines. Retrieval-augmented generation systems.

AI agents. Voice assistants. Enterprise copilots. Data and analytics platforms.

Research systems. Regulatory and compliance tools. And other organizations that need structured government information across large numbers of authorities. Consider an LLM answering a question about a local emergency.

An AI search engine looking for the latest city council decision. A voice assistant answering a question about a road closure. An AI agent monitoring government notices for a specific event. Or an enterprise research platform tracking regulatory developments across hundreds of jurisdictions.

Without a common data layer, each of those systems may need to discover government sources individually, determine authority and jurisdiction, normalize different formats, monitor those sources continuously, preserve attribution, and maintain that infrastructure as websites and publishing systems change. The National AI Feed provides a different architecture. Instead of requiring every downstream AI or data company to independently rebuild the same government-source infrastructure, Aigistry creates a common downstream publishing and aggregation layer. GovTech Providers and the government authorities they represent can publish into the National AI Feed for free.

Commercial organizations that need the resulting dataset as production infrastructure can license direct access from Aigistry. That distinction is central to the model. Public access supports discovery and individual-record retrieval. Commercial Data Access is designed for organizations that need the Feed at enterprise scale.

Commercial licensing can support bulk retrieval, historical datasets, higher-volume access, real-time change or streaming requirements, elevated rate limits, service-level commitments, and implementation support. The commercial infrastructure is operational today. Access is authenticated and provisioned separately for each licensed organization. Current Feed data can be queried directly.

Historical data can be made available with date filtering. And commercial credentials remain completely separate from the credentials GovTech Providers use to publish information into the National AI Feed. Commercial relationships are structured around the customer’s actual requirements. An LLM developer may need high-volume retrieval.

A research organization may need historical exports. An AI agent platform may care more about newly published records and change detection. An analytics provider may need filtering across authorities, jurisdictions, government types, or time periods. Because those requirements can vary substantially, Aigistry does not use a one-size-fits-all commercial rate card.

Licensing is structured around intended use, scale, delivery requirements, permitted use, support, and service levels. But the underlying value proposition is consistent. AI systems need more than raw government text. They need information with authority attached.

Jurisdiction attached. Timestamps attached. Source information attached. Provenance attached.

And, for signed records, cryptographic integrity that can be independently verified. As National AI Feed participation expands, a single commercial integration can provide access to an increasingly broad universe of structured government publications without requiring every AI company to independently discover and normalize the same sources. That is what Aigistry Commercial Data Access is designed to provide: a common government information layer for large language models, AI search, retrieval systems, agents, enterprise AI, analytics, research, and other data-intensive applications. Organizations evaluating the National AI Feed for commercial AI or enterprise data use can contact Aigistry directly to discuss access requirements, technical integration, and licensing.

Government communication systems are built on trust. Not only trust in the information itself, but trust in the systems responsible for publishing it. That principle also applies to AI Citation Registries. As participation grows, verification quality, publishing reliability, and operational integrity become increasingly important. At Aigistry, we believe integration validation should come before scale. The objective is not to onboard the maximum number of authorities as quickly as possible.

The objective is to ensure that provider integrations are operating correctly before participation expands. Approved GovTech providers move through a structured integration lifecycle. The process begins with provider approval, credential management, and initial API access. Providers then validate their implementation. This includes Authority Record creation, credential handling, token management, publishing workflows, and operational readiness. Initial enrollment typically begins with a controlled group of Authority Records.

This allows both the provider and Aigistry to confirm that workflows are functioning as expected before larger enrollment volumes are introduced. Publishing activity is then reviewed for consistency. Authority relationships, verification status, timestamps, jurisdictional information, and publication behavior can all be validated during this phase. As operational readiness is demonstrated, participation may expand. Additional Authority Records can be enrolled, publishing activity can increase, and providers can scale their participation within the National AI Feed. This approach benefits both Aigistry and participating providers.

It helps identify implementation issues early, reduces operational risk, and provides an opportunity to confirm that systems are behaving correctly before larger authority populations are affected. For providers supporting significant numbers of government authorities, Aigistry may work through a structured rollout plan. The purpose is not to restrict participation. The purpose is to validate integration quality before expanding participation at scale. Responsible infrastructure grows deliberately. Verification quality, attribution integrity, operational continuity, and publishing reliability should never be compromised by enrollment speed.

The National AI Feed exists to provide a durable, machine-readable layer for authoritative government information. That mission depends on accurate implementation, reliable publishing, and responsible scale. To learn more about provider onboarding and integration readiness, visit us at Aigistry.com.

Welcome to the Aigistry Terms and Conditions. This page establishes the operating framework for participation in the National AI Feed and the use of Aigistry infrastructure. The full written Terms govern participation, but this video provides an overview of the principles behind them. Aigistry operates as shared, neutral, downstream AI attribution infrastructure for government communications.

It is designed to complement existing GovTech platforms, government websites, emergency notification systems, communication tools, and other public-sector publishing environments—not replace them. Government authorities continue using the systems they already use. GovTech Providers continue operating their platforms and maintaining their customer relationships. Aigistry provides the machine-readable infrastructure connecting finalized government communications to the National AI Feed.

Participation is limited to approved GovTech Providers. Government agencies, departments, schools, and other public authorities participate through Authority Records associated with those Providers rather than through separate public self-service Aigistry publishing accounts. An Authority Record establishes the relationship between a participating Provider and a government publishing authority and carries important context such as provider association, jurisdiction, government classification, and publication eligibility. That structure helps government information retain its authoritative context as it moves downstream into machine-readable environments.

Another important principle is commercial independence. **Publishing to the National AI Feed is free for approved GovTech Providers and the government authorities they represent.** Aigistry does not charge them per Authority Record, per publication, or based on usage for participation in the Feed. Providers also retain control over their own businesses. Aigistry does not dictate what a Provider charges its customers.

It does not require revenue sharing. It does not determine how National AI Feed functionality is packaged. And it does not interfere with Provider contracts, customer relationships, implementation decisions, or billing practices. The Provider remains the Provider.

The government authority remains the publisher. And Aigistry remains the downstream infrastructure layer. Aigistry commercial business operates separately. Organizations such as large language model developers, AI platforms, data companies, analytics providers, and research organizations may need the aggregated National AI Feed at enterprise scale.

Those organizations can enter into separate Commercial Data Access agreements with Aigistry. Those licenses are distinct from GovTech participation and are **not a condition of publishing government information into the National AI Feed.** The Terms also establish an important boundary around content responsibility. Aigistry does not write, edit, approve, or endorse communications submitted by participating organizations. Participants remain responsible for ensuring that the information they submit is authorized, accurate, appropriate for public distribution, and consistent with their own legal and operational obligations.

Aigistries job begins downstream. The registry preserves structured information about authority, jurisdiction, provenance, source, and publication timing so that those signals can remain associated with government information in machine-readable environments. For signed records, Aigistry can also provide cryptographic integrity information. Digital signatures and record hashes can allow downstream systems to independently verify the integrity of a published record.

But cryptographic verification is not legal certification and does not replace an organization’s own legal or compliance responsibilities. There is another important distinction involving artificial intelligence itself. Aigistry provides infrastructure **for** AI systems. It does not control those systems.

Large language models, AI search platforms, retrieval systems, browser assistants, agents, and other downstream technologies independently determine what information they retrieve, how they rank it, how they interpret it, and whether they cite or display it. Aigistry therefore does not guarantee that publication to the National AI Feed will result in indexing, retrieval, ranking, citation, or display by any particular AI or search platform. What Aigistry can do is provide those systems with better structured source information when they encounter National AI Feed records. Authority can be explicit.

Jurisdiction can be explicit. Publication timing can be explicit. Provenance can remain attached. And signed records can provide independently verifiable integrity information.

That distinction is fundamental to the role of an AI Citation Registry. The Terms also recognize the nature of public distribution. Once government information has been published, it may be indexed, cached, archived, mirrored, referenced, redistributed, or consumed by search engines, AI systems, repositories, archives, and other downstream technologies. Some copies may therefore continue to exist outside the Aigistry operational control even after a Provider stops participating.

Security responsibilities are also shared. Providers are responsible for protecting their API credentials and limiting access to authorized systems and personnel. Aigistry may restrict or suspend access when necessary to address compromised credentials, unauthorized activity, operational abuse, security risks, or misuse of the infrastructure. And because Aigistry is evolving infrastructure, APIs, documentation, verification procedures, cryptographic technologies, and interoperability standards may change as the system develops.

The Terms provide the framework for managing those changes while preserving the fundamental roles of each participant. So the structure is straightforward. **Government authorities remain responsible for their communications.** **GovTech Providers retain their platforms, customers, workflows, and commercial independence.** **Participation in the National AI Feed is free for approved Providers and the government authorities they represent.** **Commercial AI and data organizations license enterprise-scale access separately.** **And Aigistry operates the shared, neutral infrastructure connecting authoritative government publishing with the emerging AI information environment.** The written Terms and Conditions on this page contain the complete provisions governing participation and use of Aigistry infrastructure. Please review them carefully before applying for access or using Aigistry services.

Aigistry. **The National AI Citation Registry for Government Communications.**

Welcome to the Aigistry Frequently Asked Questions. If you’re a GovTech Provider evaluating the National AI Feed, here are the answers to the questions that matter most. **First, what is Aigistry? ** Aigistry is the National AI Citation Registry for Government Agency Communications.

It publishes a structured, machine-readable National AI Feed designed to help AI systems identify authoritative government sources, attribute statements correctly, and preserve jurisdiction, timing, and provenance. Second: **Does Aigistry replace our GovTech platform? ** No. Aigistry is downstream infrastructure.

You keep your customer relationships, dashboards, workflows, reporting, support environment, and existing publishing products. Aigistry simply gives finalized government information an additional publishing destination: the National AI Feed. Third: **Do our government customers need Aigistry accounts? ** No.

Government agencies don’t create Aigistry accounts or manage Aigistry credentials. Participation happens through approved GovTech Providers and their existing platforms. Fourth: **What does it cost to participate? ** Nothing.

Publishing to the National AI Feed is free for approved GovTech Providers and the government authorities they represent. There are no per-Authority-Record charges, publication fees, subscriptions, or agency fees. Aigistry does not establish a billing relationship with participating Providers or government authorities. Fifth: **Then how does Aigistry make money?

** Through Commercial Data Access. This is separate from Provider participation. AI companies, data platforms, analytics firms, researchers, and other organizations that need enterprise-scale access to the aggregated National AI Feed can license that access directly from Aigistry. That distinction is central to the model: **Publishing into the National AI Feed is free.

Commercial access to the aggregated data is licensed separately.** Sixth: **Can our company charge its customers for National AI Feed functionality? ** Yes. How a GovTech Provider packages or prices National AI Feed publishing within its own products is entirely the Provider’s decision. It can be included as a standard capability, bundled with another service, offered as a premium feature, or packaged however the Provider chooses.

Seventh: **What does integration require? ** At a high level, the Provider enrolls an Authority Record for each participating government customer and submits finalized publications through the Provider API. Aigistry provides Test Mode for development and a published OpenAPI specification covering the API surface. The Developer API Reference and dedicated integration documentation cover the technical implementation in detail.

Eighth**Does Aigistry guarantee that a government record will appear in ChatGPT, Google AI, Copilot, or another AI system? ** No. No external publisher can control how an independent AI system retrieves, ranks, cites, or displays information. Aigistries role is to make authoritative government communications available in a structured, attributable, machine-readable form.

Individual AI systems determine how they use that information. And that’s really the model. GovTech Providers keep their platforms and customer relationships. Government authorities continue publishing through the systems they already use.

Participation in the National AI Feed is free. Aigistry operates the shared downstream infrastructure. And enterprise-scale commercial use of the aggregated data is licensed separately. For technical questions, visit the Developer API Reference.

For participation, request GovTech Provider access through the Aigistry request access page.