--- optiview_delivery: edge_optimized content_type: semantic_markdown source_url: https://optiview.ai/resources/ai-readable-publishing-team-roles/ brand_content: included publication_version: "9.0" published_at: 2026-10-16T20:36:07Z composition_version: composition-v2.1.0 presentation_version: presentation-v1.2.3 brand_content_source: narrative_graph delivery_publication: graph:33 narrative_versions: - 33 narrative_version: 33 --- [Resources](https://optiview.ai/resources/) [Brand context and governance](https://optiview.ai/resources/topics/brand-context/) Operating model — October 30, 2026 # Who Owns AI-Readable Publishing? A Responsibility Matrix AI-readable publishing crosses marketing, product, engineering and measurement. Without clear ownership, important facts become everyone's concern and nobody's responsibility. By Optiview · Sources checked October 30, 2026 [Download this article (.md)](https://optiview.ai/resources/ai-readable-publishing-team-roles.md) A content team can write a clear explanation but may not have authority to confirm a product limitation. Engineering can deploy a machine-readable response but may not know whether its claims are accurate. Analytics can observe AI answers without knowing who should correct a misleading source. The solution is an explicit responsibility model. A RACI matrix identifies who is Responsible for performing work, Accountable for its outcome, Consulted for expertise and Informed about decisions. This is a recommended team operating model, not a description of built-in Optiview permissions, a legal responsibility framework or a requirement to create a large governance committee. ## 1\. Define five functional roles | Role | Core responsibility | | --- | --- | | Business owner | Confirms product, service and policy facts | | Editorial lead | Maintains clarity, scope, consistency and reader value | | Technical lead | Owns supported connection, build and delivery behavior | | Publication owner | Authorizes public release through approved procedures | | Measurement lead | Maintains observation definitions, evidence and reporting | Legal, security, privacy and compliance specialists should be consulted when the claim or system requires their expertise. Smaller organizations may combine operational roles, but every decision still needs an identifiable accountable person. ## 2\. Use the RACI matrix The matrix below is a starting allocation. R means Responsible, A Accountable, C Consulted and I Informed. Assign one A per row; replace role labels with real team ownership before using the matrix operationally. | Activity | Business | Editorial | Technical | Publication | Measurement | | --- | --- | --- | --- | --- | --- | | Confirm product claims | A/R | C | I | I | I | | Prepare contextual content | C | A/R | I | C | I | | Approve factual changes | A/R | C | I | I | I | | Validate delivery implementation | I | C | A/R | C | I | | Authorize public release | C | C | R | A | I | | Investigate answer discrepancy | C | C | C | I | A/R | | Correct verified source issue | A | R | C | I | I | | Report external outcomes | I | C | C | I | A/R | A release can require several approvals without having several people ambiguously accountable for the final production action. ## 3\. Define the minimum handoff record * Work item ID and specific customer question. * Affected page or contextual content scope. * Current statement and proposed correction. * Authoritative source and factual owner. * Editorial decision and material qualifications. * Technical dependency and intended publication route. * Approval owner, deadline and unresolved blockers. * Required live verification and follow-up. A handoff is ready when the receiving team can identify the task, evidence and approval state without reconstructing the discussion from messages. ## 4\. Establish an escalation ladder 1. For a disputed product fact, escalate to the authoritative business owner. 2. For unclear or contradictory messaging, escalate to the editorial lead with source evidence. 3. For delivery or security problems, involve the responsible technical and specialist owners. 4. For missing publication authority, hold until the designated publication owner decides. 5. For an uncertain AI answer outcome, retain the observation and assign the measurement lead. 6. For cross-functional disputes, escalate to a named executive sponsor rather than allowing silent publication. The escalation process should distinguish an urgent public correction from a normal improvement. Neither urgency nor management seniority replaces verification of material facts. ## 5\. Keep the team model distinct from platform controls Optiview's [setup guide](https://optiview.ai/docs/setup/) documents source review and explicit publication within supported product workflows. Those product controls do not automatically establish this organizational RACI, escalation ladder or staffing model. The [NIST AI Risk Management Framework](https://www.nist.gov/itl/ai-risk-management-framework) offers voluntary governance and risk-management principles. This matrix is an independent operational recommendation, not a claim of framework certification. ## 6\. Review accountability periodically Review the matrix when teams, products or technical connections change. Check whether open decisions have named owners and whether important corrections are being delayed by ambiguous responsibility. The finished deliverable is an approved RACI with named role holders, backup contacts, handoff requirements and escalation paths. Pair it with the [content change-management protocol](https://optiview.ai/resources/brand-context-change-management/) for recurring operational work. ## Additional source context Give every important source fact, publication decision, technical release and measurement finding one accountable owner. Make escalation predictable rather than relying on informal coordination. Make your brand easier for AI to understand. ### Explore [Website publishing](https://optiview.ai/products/publish/) · [Developer tools](https://optiview.ai/products/#developers) · [Pricing](https://optiview.ai/pricing/) ### Learn [Guides](https://optiview.ai/resources/) · [Developer docs](https://optiview.ai/developers/) · [Research](https://optiview.ai/proof/) · [FAQ](https://optiview.ai/faq/) ### Company [About Optiview](https://optiview.ai/about/) · [Agencies](https://optiview.ai/partners/) · [Contact](https://optiview.ai/#contact) · [Privacy](https://optiview.ai/privacy/) · [Billing terms](https://optiview.ai/billing-policy/) ## Additional page links - [Why Markdown Conversion Is Different From Publishing Approved Brand Context](https://optiview.ai/resources/markdown-conversion-vs-approved-brand-content/) — Continue reading - [Designing a Narrative Graph: A Practical Relationship Worksheet](https://optiview.ai/resources/narrative-graph-content-model/) — Continue reading - [Building a Provenance Ledger for Brand Claims Published to AI](https://optiview.ai/resources/brand-claims-provenance-ledger/) — Continue reading - [Preview a page](https://optiview.ai/demo/) — Continue reading - [Read the setup guide](https://optiview.ai/docs/setup/) — Continue reading --- # Published brand narrative # Site-wide brand information ## Who we are ### Optiview — Parse, Retrieve and Publish for AI Optiview helps businesses and developers make website information easier for AI to use. Parse converts supplied HTML into clean Markdown and source metadata. Retrieve fetches an eligible public HTTPS webpage and prepares its content. Publish helps a verified business prepare its own website content and make approved Narrative Graph context available through a supported connection. Parse and Retrieve use application keys and a prepaid developer wallet. Publish has separate website setup, ownership checks and a subscription. Optiview does not control whether an outside AI service discovers, uses or cites the resulting content. Applies to: Optiview ## Why we matter ### A clearer source, from website content to business context Webpages mix useful information with navigation, layout and application code. Businesses may also have important qualifications, answers and context that are not clearly published. Optiview gives developers a way to prepare source content for their applications, and gives businesses a way to publish the context their teams approve. Your application chooses how to use Parse and Retrieve results. Your business controls what it publishes through Publish. Clearer publishing makes information available; it does not determine an AI system’s answer. Each outside service chooses its own retrieval, recommendations and citations. ## What we offer ### Three products, with separate jobs and clear pricing - **Optiview Parse:** Supply complete HTML and a source URL. Receive clean Markdown, source and output hashes, parser details and processing warnings. Parse does not fetch the URL or execute JavaScript. A successful page uses 1 credit. - **Optiview Retrieve:** Supply one eligible public HTTPS URL. Optiview checks supported access and publisher policies, fetches anonymous static HTML and parses it. It does not search the web, execute JavaScript, bypass a login or access private networks. A successful page uses 5 credits total, including parsing. - **Developer credits:** USD $20 buys 20,000 credits shared by Parse and Retrieve. There is no developer subscription, automatic recharge or scheduled credit expiration. Failed jobs consume no credits. Applicable taxes and the total appear at checkout. Source size, quotas and retention limits apply. - **Optiview Publish:** USD $99 per website per month plus applicable tax. Connect a verified website, review the prepared source and optionally maintain approved Narrative Graph context in Identity, Story, Offerings, Trust, Knowledge and Actions. Choose site-wide or exact-page scope. Saving drafts does not publish them. Eligible AI tools can receive prepared Markdown or HTML through supported delivery, while ordinary visitors keep the normal website. Developer credits do not purchase Publish subscriptions. Parse and Retrieve do not add a customer’s private Narrative Graph to arbitrary third-party pages. See https://optiview.ai/pricing/ and https://optiview.ai/developers/ for the current offer and limits. ## Why trust us ### Inspect the output and understand what the evidence establishes Developers can inspect the prepared Markdown, job status, source metadata, processing warnings and credit ledger. Retrieve records the public source response it observed; Parse identifies supplied HTML rather than claiming to verify the current origin. Publish administrators can review parser output, the combined published-output preview, source checks and publication history. A preview is separate from a recorded live delivery. Saved edits remain separate from the active publication until explicitly published. Our experiment pages contain selected first-party AI conversations and source comparisons. Delivery records establish what was served, not downstream ingestion, recommendations, citations or revenue. Observed language matches do not establish causation or a consistent visibility improvement. Explore the evidence and limitations at https://optiview.ai/proof/. ## Helpful knowledge ### Common questions about the three products **Which product should I use?** Use Parse when you already have HTML. Use Retrieve when you need Optiview to fetch one eligible public page first. Use Publish when your business wants to prepare its verified website and publish approved context. **Do Parse and Retrieve require website ownership or DNS changes?** No website connection is needed for these developer products. You remain responsible for source rights and permitted downstream use. Public availability does not grant a reuse license. **How do developer accounts and keys work?** Create a developer workspace and save the personal sign-in key and offline recovery code. Create scoped service keys for server-side applications. Email is an unverified contact identifier, not account-ownership proof or an email-only recovery method. Keep all credentials private. **Can my agent use Optiview?** The authenticated developer API returns prepared content for your application or model. A downloadable JavaScript client and local MCP adapter are available. Your host must authorize sources and any credit expenditure. Compatibility does not establish adoption or a partnership with an AI provider. **Does the API include my private Narrative Graph?** Parse and Retrieve are source-only. Verified website publishing and approved publisher context belong to the separate Publish workflow. **Does Publish replace our website or CMS?** No. Your website stays in its existing system. Your web team establishes and tests a supported connection. Your team reviews and explicitly publishes any Narrative Graph additions. Ordinary visitors retain the normal website experience. **Does every AI tool get the prepared version?** No. Delivery depends on the website connection, source eligibility and the request. Some tools explicitly request Markdown; supported AI requests may also receive prepared Markdown or HTML through eligible delivery paths. Traditional search crawlers retain the original website response. A claimed tool name does not prove the requester’s identity. **Does the demo publish or save to our workspace?** No. The public demo is a separate preview. Its AI-generated examples require review and do not transfer automatically into an approved publication. **Will Optiview guarantee citations or recommendations?** No. Optiview prepares and publishes sources. Outside AI services choose what to retrieve, use and cite. ## What to do next ### Choose your starting point - [Compare Parse, Retrieve and Publish](https://optiview.ai/products/) to choose the right workflow. - [Create a developer workspace](https://app.optiview.ai/developers) for self-service Parse and Retrieve, then add credits and create an application key. - [Read the API quickstart and agent-tool setup](https://optiview.ai/developers/) for request examples, supported sources, errors, quotas and downloads. - [Review pricing and terms](https://optiview.ai/pricing/) for prepaid credits and the separate Publish plan. - [Preview your website](https://optiview.ai/demo/) to inspect prepared content and explore unapproved narrative examples without connecting or publishing. - [Plan Publish setup](https://optiview.ai/onboarding/) with your web team. Publishing requires ownership checks, review and a supported connection; contact [hello@optiview.ai](mailto:hello@optiview.ai) for assisted setup. Already using Publish? Review your Narrative Graph, publish approved changes explicitly, inspect the combined source in Markdown and check recorded delivery in Activity. Keep your existing visibility tools to study downstream AI answers.