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published_at: 2026-10-16T20:36:07Z
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# Test your ChatGPT Business Agent before customers do

Test the questions where a missing condition could change a customer’s decision. Record expected facts and check the whole answer.

Answer-testing worksheet

By OptiviewFor marketing, support, ecommerce and agency teamsAbout 3 minPublished November 11, 2026Sources checked November 11, 2026

- [Explore the framework](https://optiview.ai/resources/chatgpt-business-agent-test-pack/#interactive-framework)
- [Download guide (.md)](https://optiview.ai/resources/chatgpt-business-agent-test-pack.md)

Editorial illustration · Check AI answers

An interactive overview

## Explore the framework.

Select an item to unpack the details, then take the framework with you.

7 items

01Fit 02Comparison 03Price 04Availability 05Policies 06Uncertainty 07Next step

Item 1 of 7

### Fit

**Questions to adapt**
1\. Who is this offering for? 2. Who would it not suit? 3. What do I need before I can use it?

A few terms in plain English

**GEO**
Work on how a business appears in AI answers, often called generative engine optimization.

[Download the editable answer-test worksheet (.csv)](https://optiview.ai/resources/chatgpt-business-agent-test-worksheet.csv). It includes 20 starter questions. Adapt every question and expected result to your current, approved business information.

This is an Optiview review method, not an official OpenAI certification or an automated test integration. Use the account’s available preview and testing controls. OpenAI’s [agent setup guidance](https://help.openai.com/en/articles/20001651-setting-up-a-sponsored-business-agent-in-ads-manager) illustrates testing, correcting information and repeating questions.

## 1\. Define the expected facts before asking

For each question, record the source revision, facts that must appear, material conditions and acceptable website link. Do not write one ideal marketing answer and grade everything else by wording similarity. Several answers can be correct.

If the source does not establish an answer, the expected behavior is to acknowledge uncertainty and direct the customer to an appropriate official page or support channel. Do not invent missing product facts to make a test answerable.

## 2\. Adapt these 20 starter questions

| Area | Questions to adapt |
| --- | --- |
| Fit | 1\. Who is this offering for? 2. Who would it not suit? 3. What do I need before I can use it? |
| Comparison | 4\. How do these two options differ? 5. Which option fits my stated requirement? 6. Does it work with my existing equipment? |
| Price | 7\. What is included in this price? 8. Does that price require annual billing? 9. Are there additional fees? |
| Availability | 10\. Is this exact variant available? 11. Can you serve my location? 12. Is the announced release available now? |
| Policies | 13\. Can I return a sale item? 14. Can I return a personalized item? 15. Which purchases are excluded? |
| Uncertainty | 16\. When will an unannounced feature launch? 17. Can you guarantee the claimed result? 18. Where can I confirm information you do not have? |
| Next step | 19\. Where do I complete the next step? 20. Have you actually completed it, or only provided a link? |

Mark questions that do not apply and explain why. Add at least one realistic follow-up to the questions most likely to produce a consequential misunderstanding.

## 3\. Use a clear review rubric

| Verdict | Meaning |
| --- | --- |
| Pass | The answer preserves the required facts and conditions and uses an appropriate link. |
| Critical error | The answer invents a material fact, omits a decision-changing condition or falsely claims a completed action. |
| Needs improvement | The answer is supported but unclear, incomplete in a noncritical way or difficult to follow. |
| Inconclusive | The source, account access or observation is insufficient to decide. |

Record the complete test answer and date. These are your own controlled test observations, not access to consumer conversations. Keep any private customer details out of test questions and exported worksheets.

OpenAI’s [Business Agents Policy](https://openai.com/policies/business-agents-policy/) emphasizes accurate information, material conditions and the agent’s approved role. Use those boundaries when designing your expected results.

## 4\. Correct the source and retest

1.  Identify whether the failure came from missing information, contradictory sources, instructions or the observed answer.
2.  Have the responsible owner approve the factual correction.
3.  Update the relevant destination through its supported process.
4.  Repeat the failed question and its follow-up, recording the new source revision and observation.
5.  Keep earlier failures in the record instead of replacing them with the successful retest.

As a proposed launch gate, resolve all critical errors in the agreed test set before publishing an agent. This does not guarantee every future answer will be correct. Repeat affected tests when the business changes.

## 5\. Connect testing to routine maintenance

Use the [readiness checklist](https://optiview.ai/resources/chatgpt-business-readiness-checklist/) to find source gaps and the [measurement scorecard](https://optiview.ai/resources/geo-outcome-measurement-scorecard/) to separate source fixes from external outcomes.

Read [what the launch means for businesses](https://optiview.ai/resources/businesses-in-chatgpt/). [Optiview Publish](https://optiview.ai/products/publish/) helps teams prepare website content and reviewed business information; this worksheet does not imply a live Business Hub connection.

Go to the source

## Keep exploring.

References linked in this guide. Open the original source for its full scope and latest details.

[help.openai.com**agent setup guidance**Opens in a new tab](https://help.openai.com/en/articles/20001651-setting-up-a-sponsored-business-agent-in-ads-manager) [openai.com**Business Agents Policy**Opens in a new tab](https://openai.com/policies/business-agents-policy/)

- [See my site with Optiview](https://optiview.ai/demo/)
- [Run your free AI Audit](https://optiview.ai/ai-audit/)

Keep going

## A useful next read.

Launch analysis

### [Businesses in ChatGPT: what changed and what your business should do next](https://optiview.ai/resources/businesses-in-chatgpt/)

Setup checklist

### [Before you set up your business in ChatGPT: a readiness checklist](https://optiview.ai/resources/chatgpt-business-readiness-checklist/)

Measurement guide

### [Is your AI visibility work helping? A scorecard for what you can verify](https://optiview.ai/resources/geo-outcome-measurement-scorecard/)

[Back to the resource library](https://optiview.ai/resources/)

## Additional source context

A test passes when the observed answer preserves the relevant facts and conditions. A fluent answer, a successful upload or a few good examples is not enough.

An overview of the table in this guide. The full reference and its qualifications remain below.

Your website was built for people. Optiview makes it ready for AI, too.

### Try Optiview

[See my site with Optiview](https://optiview.ai/demo/) · [Run your free AI Audit](https://optiview.ai/ai-audit/)

### Explore

[Publish](https://optiview.ai/products/publish/) · [Parse](https://optiview.ai/products/parse/) · [Retrieve](https://optiview.ai/products/retrieve/) · [Pricing](https://optiview.ai/pricing/)

### Learn

[Guides](https://optiview.ai/resources/) · [Developer docs](https://optiview.ai/developers/) · [Research & thinking](https://optiview.ai/research/) · [Experiments & methods](https://optiview.ai/proof/) · [AI Audit](https://optiview.ai/ai-audit/) · [AI agent directory](https://optiview.ai/agents/) · [FAQ](https://optiview.ai/faq/)

### Company

[About Optiview](https://optiview.ai/about/) · [LinkedIn](https://www.linkedin.com/company/optiview-ai/) · [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

- [More in this collection](https://optiview.ai/resources/topics/research-methods/)
- [Launch analysis · Businesses in ChatGPT: what changed and what your business should do next](https://optiview.ai/resources/businesses-in-chatgpt/)
- [Setup checklist · Before you set up your business in ChatGPT: a readiness checklist](https://optiview.ai/resources/chatgpt-business-readiness-checklist/)
- [Measurement guide · Is your AI visibility work helping? A scorecard for what you can verify](https://optiview.ai/resources/geo-outcome-measurement-scorecard/)


---

# 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.
