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published_at: 2026-10-16T20:36:07Z
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[Resources](https://optiview.ai/resources/) [The AI-readable web](https://optiview.ai/resources/topics/ai-readable-web/)

Practical guide — October 30, 2026

# A Content Quality Scorecard for AI-Readable Websites

A website can be technically accessible and still be difficult to understand. This scorecard evaluates the quality of the information a business makes available, not its position in AI answers.

By Optiview · Sources checked October 30, 2026

[Download this article (.md)](https://optiview.ai/resources/ai-readable-content-quality-scorecard.md)

A content team may have hundreds of pages to maintain. Some are complete and authoritative. Others are outdated, internally contradictory or missing details that change a customer's decision.

The challenge is deciding where editorial work matters most. Rather than rewriting everything or relying on an unsupported AI-readiness score, teams can evaluate pages against a consistent set of observable criteria.

This Optiview scorecard is an internal editorial framework. It has not been validated as a predictor of search rankings, AI citations, retrieval frequency or conversions. Its purpose is to prioritize improvements that make published information more accurate and useful.

## 1\. Choose the page and customer decision

Select one commercially important page and write down the customer question it should answer. For example: 'Is this offering appropriate for my situation, and what would I need to do next?' Define the page's purpose before assigning scores.

Evaluate only what is actually published. A reviewer may know additional facts from internal conversations, but they should not award credit for information that cannot be found in the relevant public material.

Google's [people-first content guidance](https://developers.google.com/search/docs/fundamentals/creating-helpful-content) encourages assessing whether content is useful, reliable and created to benefit readers. The scoring method below is our own operational interpretation, not Google's scoring system.

## 2\. Score five dimensions from zero to four

| Dimension | What the reviewer examines |
| --- | --- |
| Completeness | Does the page contain the facts required to answer its primary question? |
| Clarity | Are the offering, audience, terms and next steps explained without unnecessary ambiguity? |
| Consistency | Do important facts agree with authoritative information elsewhere on the site? |
| Qualification | Are restrictions, dependencies and material exceptions included? |
| Maintainability | Can an owner, evidence source and update trigger be identified? |

Use the same five-level scale from zero to four for every dimension: 0 = missing or materially unreliable; 1 = significant gaps; 2 = usable but incomplete; 3 = strong with minor corrections; 4 = complete and verified against the defined review criteria.

The maximum total is 20 points. Record the evidence behind each score and use 'Not Assessed' if review could not be completed. Unknown is not equivalent to zero. If a material claim is contradicted or unverified, flag it separately regardless of the numerical total.

## 3\. Use this assessment worksheet

| Dimension | Score | Evidence or gap | Owner |
| --- | --- | --- | --- |
| Completeness | 0–4 or NA | Required facts present or missing | Content owner |
| Clarity | 0–4 or NA | Ambiguous statements to revise | Editorial owner |
| Consistency | 0–4 or NA | Conflicts with authoritative pages | Product owner |
| Qualification | 0–4 or NA | Missing limitations or conditions | Subject expert |
| Maintainability | 0–4 or NA | Review source and update responsibility | Operational owner |

A numeric total is useful for tracking editorial progress only when every applicable dimension has been assessed. Do not compare scores across fundamentally different page types without considering their distinct purposes. A short policy page and a comprehensive product page may require different amounts of information.

## 4\. Turn the scores into editorial decisions

Treat the following thresholds as optional internal triage rules rather than externally validated benchmarks. They help teams select a next action, but an unsupported safety, eligibility or commercial claim should take priority regardless of the overall score.

| Total, if fully assessed | Recommended editorial action |
| --- | --- |
| 0–7 | Investigate the information foundation and consider substantive reconstruction. |
| 8–12 | Resolve the largest missing facts, contradictions and qualifications. |
| 13–16 | Make targeted corrections and improve supporting links. |
| 17–20 | Maintain, monitor for changes and review when facts become outdated. |

A 19-point page containing one materially false pricing statement is not ready merely because the total looks strong. The score supports judgment; it does not replace factual approval.

## 5\. Keep content quality separate from AI visibility

A higher score means the page performed better under this editorial rubric. It does not mean an AI assistant retrieved the page, used its content, cited its URL or recommended the business.

*   Editorial quality: Assess the five dimensions above.
*   Technical delivery: Inspect actual responses and information preservation.
*   Search observations: Use available search-provider measurements and distinguish indexing from ranking.
*   AI observations: Record named services, questions, settings, dates, answers and sources where observable.
*   Commercial outcomes: Measure qualified actions independently rather than inferring them from content scores.

Google's [technical search requirements](https://developers.google.com/search/docs/essentials/technical) also distinguish baseline eligibility from guaranteed indexing. Similar caution is appropriate when interpreting any internally designed content-quality measure.

## 6\. Establish a repeatable improvement cycle

1.  Score three important pages using one consistent rubric.
2.  Record specific evidence for every dimension.
3.  Select the highest-impact factual correction, not necessarily the lowest numeric score.
4.  Obtain the appropriate content-owner approval and publish the correction.
5.  Rescore the affected dimensions after verifying the live page.
6.  Record search and AI observations separately as evidence becomes available.

To inspect what a supported page actually delivers, use the [Optiview delivery audit](https://optiview.ai/resources/audit-html-markdown-delivery/). For broader technical setup and publication controls, see the [Publish documentation](https://optiview.ai/docs/setup/). Neither is a substitute for reviewing the underlying truth of the content.

## Additional source context

Use a transparent editorial score to expose content weaknesses and assign corrective work. Measure actual search and AI outcomes separately.

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.