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published_at: 2026-10-16T20:36:07Z
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[Resources](https://optiview.ai/resources/) [Research and evaluation](https://optiview.ai/resources/topics/research-methods/)

Evaluation guide — October 30, 2026

# How to Document AI Citations Without Overclaiming the Results

A URL appearing in an AI answer is an observation. Whether that URL supplied the relevant fact—or caused the answer to change—is a different question.

By Optiview · Sources checked October 30, 2026

[Download this article (.md)](https://optiview.ai/resources/ai-citation-observation-methodology.md)

AI citations are useful evidence, but they are easy to overinterpret. A cited page may support an answer, partially support it or appear alongside claims that the page never made.

A reliable research record preserves the answer and its references before interpreting them. It distinguishes what the interface visibly reported from what can actually be established about retrieval, source usage or causality.

Optiview's [research methodology](https://optiview.ai/proof/methodology/) explicitly separates delivery, retrieval and interpretation. The procedure below turns that distinction into a reusable observation log. It does not describe a new citation experiment or claim that named AI providers expose their complete internal retrieval paths.

## 1\. Use precise citation evidence categories

| Category | Definition | What it does not prove |
| --- | --- | --- |
| Visible citation | A URL or source reference appears in the recorded answer | That the source caused the answer |
| Supporting citation | Inspected source supports a specific answer claim | Exclusive reliance on that source |
| Unsupported citation | Cited source does not support the associated claim | Intentional fabrication by the system |
| Verified retrieval | A relevant system or authorized trace demonstrates content acquisition | That all retrieved content was used |
| Source-use evidence | A controlled trace or study supports use of particular content | Universal behavior across systems |
| Causal attribution | An appropriately controlled design supports an intervention effect | Unbounded generalization |

These categories are proposed research labels. They should not be presented as universal provider terminology or a formal certification framework.

## 2\. Preserve the original observation

*   Observation ID and UTC timestamp.
*   Question or prompt exactly as submitted.
*   Named service, model when known and relevant settings.
*   Complete answer text and visible citation labels.
*   Cited URLs and the claims they appear to support.
*   Available response identifiers or authorized export references.
*   Any missing metadata or inaccessible evidence.

Do not rewrite the observed answer when producing an editorial summary. Preserve the original artifact and separately annotate factual concerns.

## 3\. Inspect whether citations support their claims

1.  Identify each material statement in the answer.
2.  Map each visible citation to the statement it appears to support.
3.  Open the cited source through an authorized retrieval method.
4.  Check the relevant passage, context, qualifications and publication date.
5.  Classify the relationship as supported, partially supported, unsupported or unverifiable.
6.  Record source-version uncertainty when the page may have changed.

A page may be accurate today but have contained different information when the answer was generated. The [W3C provenance overview](https://www.w3.org/TR/prov-overview/) provides concepts for preserving the origins and production history of information. An observation log inspired by those concepts does not claim formal PROV compliance.

## 4\. Classify a hypothetical citation

Imagine a fictional AI answer stating that Cedarfield Software supports unlimited users on every plan, with a citation to its fictional pricing page. The current page states that unlimited users are available only on Enterprise.

The observer can record a visible citation and determine that the cited current page contradicts the unrestricted claim. Without an archived version or retrieval trace, the observer cannot establish exactly what the system previously retrieved.

This is an invented teaching example, not an observed AI response, customer finding or study result.

## 5\. Retain the evidence package

| Artifact | Retention purpose |
| --- | --- |
| Original prompt and answer | Preserve the observed result |
| Citation list | Retain exact referenced destinations |
| Source captures | Document material available during inspection |
| Claim-support classifications | Explain evaluator judgments |
| Retrieval traces, if authorized | Support acquisition-specific conclusions |
| Evaluator notes | Record uncertainty and disagreements |

Store only material that can lawfully and appropriately be retained under the applicable terms and permissions. Do not collect private customer content or attempt unauthorized access to provider internals.

## 6\. Publish the narrowest defensible conclusion

A responsible report might state: 'The recorded answer displayed this citation, and the inspected current source does not support the associated claim.' It should not leap to: 'The model ignored our updated Markdown.'

Use the [answer quality rubric](https://optiview.ai/resources/ai-answer-accuracy-evaluation-rubric/) to evaluate the full answer separately. Citation observations help explain evidence quality; they do not independently establish a visibility ranking or causal effect.

## Additional source context

Treat citation appearance, citation support, verified retrieval and causal source use as different evidence categories. Record what is observed and preserve what remains unknown.

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

- [Publishing information doesn’t mean AI receives it.](https://optiview.ai/resources/what-openai-browser-code-taught-us/) — Continue reading
- [How to Design a Reproducible AI Website Retrieval Experiment](https://optiview.ai/resources/ai-retrieval-experiment-design-template/) — Continue reading
- [An Evaluation Rubric for AI Answers About a Business](https://optiview.ai/resources/ai-answer-accuracy-evaluation-rubric/) — 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.