---
optiview_delivery: edge_optimized
content_type: semantic_markdown
source_url: https://optiview.ai/resources/search-extraction-publishing-architecture/
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/) [The AI-readable web](https://optiview.ai/resources/topics/ai-readable-web/)

AI web architecture — October 30, 2026

# Search, Extraction and Publishing: The Three Systems Behind AI Web Retrieval

When an AI system gets a business fact wrong, the temptation is to blame the AI model. But the problem may have started much earlier—in discovery, content extraction or the source itself.

By Optiview · Sources checked October 30, 2026

[Download this article (.md)](https://optiview.ai/resources/search-extraction-publishing-architecture.md)

The modern web contains several distinct responsibilities that are easy to collapse into one vague idea of AI readability. A publisher creates and maintains information. A search system identifies potentially relevant sources. An extraction system obtains and prepares content. An application may then interpret that content and generate an answer.

These functions can exist within a single platform or across several services. Exa and You.com document multiple search, extraction and research capabilities. Optiview documents source preparation and publisher-controlled contextual publication.

The architecture below is a diagnostic model, not a claim that every AI assistant uses the same pipeline. Its purpose is to help technical and marketing teams identify which system owns a particular failure before investing in a solution.

## 1\. Build the responsibility map

| Layer | Core responsibility | Evidence to inspect |
| --- | --- | --- |
| Publishing | Maintain accurate, approved source information | Live pages, revisions, policies and approvals |
| Search | Identify relevant sources for a question | Returned URLs, rankings and query context |
| Extraction | Obtain and prepare content from selected sources | Returned text, structure, links and metadata |
| Interpretation | Use retrieved information to produce an answer | Answer, citations, claims and settings |

The first three layers form the core architecture. Interpretation is shown separately because an accurate extracted source can still be summarized incorrectly. Do not assign responsibility based solely on the company name providing the API.

## 2\. Ask whether the source is accurate before evaluating retrieval

The publisher controls what it authorizes and makes publicly available through its own systems. If a product limitation is absent from the website, better extraction cannot independently establish that missing business fact.

*   Does the authoritative page contain the necessary fact?
*   Are important qualifications attached to the claim?
*   Does the information agree with current policies and product specifications?
*   Are the relevant links and customer actions correct?
*   Is the approved information available through the intended delivery path?

Optiview's [Publish documentation](https://optiview.ai/products/publish/) describes preparation, review and publication of source content and Narrative Graph context. This addresses the publisher's side of the responsibility map, without guaranteeing what external systems retrieve.

## 3\. Determine whether the information was discovered

A search system may choose different sources depending on the question, configuration and retrieval environment. Exa's [documentation](https://exa.ai/docs) describes web discovery and additional content and research capabilities. You.com's [documentation](https://you.com/docs/welcome) similarly covers search, extraction and synthesized results.

When a source is absent from observed results, check relevance, access, query formulation and available evidence. Do not automatically interpret absence as a technical crawl failure or a defect in the publisher's Markdown.

Search discovery is an observation about a particular system under particular conditions. It is not evidence that every AI assistant will discover the same source.

## 4\. Check what survived content acquisition

An extraction system may remove navigation, transform markup, select passages or return another representation. These operations can improve usability while also creating a need to validate that material qualifications survive.

1.  Identify the source URL and the version available at the observation time.
2.  Retain the actual retrieved content where accessible.
3.  Compare required facts, restrictions and supporting links.
4.  Classify differences as equivalent, omitted, contradictory, stale or unknown.
5.  Investigate whether differences originate in the published source or the acquisition process.

The [HTML, Markdown and JSON-LD parity guide](https://optiview.ai/resources/html-markdown-jsonld-content-parity/) provides a related method for inspecting multiple publisher-controlled representations.

## 5\. Use a decision tree to locate the first verified problem

| Diagnostic question | If no | If yes |
| --- | --- | --- |
| Is the public fact accurate? | Correct the publisher source | Continue |
| Is the required source discoverable in the observed workflow? | Investigate search and access | Continue |
| Does retrieved content preserve the necessary fact? | Investigate extraction or freshness | Continue |
| Does the answer accurately reflect the retrieved evidence? | Investigate interpretation | Record supported completion |

This is a troubleshooting sequence, not a promise that each layer is fully observable. Some systems expose only final answers. In those cases, preserve the uncertainty instead of manufacturing a precise diagnosis.

## 6\. Assign owners and produce one actionable finding

The finished architecture worksheet should identify the reader question, authoritative source, observed failure, relevant system layer, available evidence, responsible owner and next verification step.

Use the [AI-readable website audit](https://optiview.ai/resources/ai-readable-website-audit-checklist/) when the source itself is deficient. For connected Optiview publishing, consult the [technical setup guide](https://optiview.ai/docs/setup/). Keep retrieval-provider evaluation separate from claims about what the publisher can control.

## Additional source context

Assign every problem to the appropriate responsibility: discovery, extraction, publication or downstream interpretation. Fix the earliest verified defect rather than changing every layer at once.

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

- [AI doesn’t have one view of your website.](https://optiview.ai/resources/what-ai-services-see/) — Continue reading
- [Keep the meaning. Simplify the format.](https://optiview.ai/resources/html-versus-markdown-for-ai/) — Continue reading
- [The AI-Readable Website Audit: 25 Checks Before You Optimize](https://optiview.ai/resources/ai-readable-website-audit-checklist/) — 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.