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published_at: 2026-10-16T20:36:07Z
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[Resources](https://optiview.ai/resources/) [GEO and measurement](https://optiview.ai/resources/topics/geo-and-measurement/)

GEO workflows — October 30, 2026

# From Profound AI Visibility Findings to Source-Level Content Improvements

Profound can help identify how a brand appears in AI answers. The next question is whether the underlying business information needs to change—and exactly what should change.

By Optiview · Sources checked October 30, 2026

[Download this article (.md)](https://optiview.ai/resources/profound-ai-visibility-to-source-action.md)

An AI visibility observation is a starting point for investigation, not automatically a content problem. A missing mention may reflect the question, the competitive landscape, the sources available to an answer engine or the way a brand is represented.

Profound's [Answer Engine Insights documentation](https://docs.tryprofound.com/answer-engine-insights/about) describes prompt-driven analysis of brand presence, citations and related dimensions. Its [Pages documentation](https://docs.tryprofound.com/pages/about) also describes page-level content analysis, recommendations, readiness scoring and indexing-related actions. Profound is therefore not simply a passive monitoring product.

The workflow below focuses on a particular editorial handoff: connecting an observed answer to the accuracy and completeness of information a business controls. It is a proposed manual process, not a documented native integration between Profound and Optiview.

## 1\. Select one meaningful observation

Begin with a commercially relevant customer question. Preserve the actual prompt, answer, cited sources, date, platform and applicable filters. Profound's [AEI interpretation guide](https://docs.tryprofound.com/answer-engine-insights/interpret) documents filtering across topics, platforms, competitors and other dimensions.

*   Identify the exact customer question and associated business decision.
*   Record whether the issue is an absent brand, inaccurate description, missing qualification or unexpected citation.
*   Preserve the analyzed platform, date range, region and prompt grouping.
*   Distinguish an observed response from a general claim about all AI answers.
*   Assign an owner to investigate the observation.

## 2\. Investigate the source before prescribing a fix

| Observation | Source investigation | Possible decision |
| --- | --- | --- |
| Incorrect product description | Compare answer with current approved product facts | Correct source if deficient |
| Missing qualification | Check whether restriction is published clearly | Add verified qualification |
| Unexpected external citation | Examine what the cited source actually states | Investigate accuracy and authority |
| Brand absent | Review intent, relevance and available source material | Investigate; no automatic rewrite |
| Outdated answer | Compare publication and observation dates | Check freshness separately |

Do not assume every missing mention requires a new article. The existing source may be complete, the prompt may not call for the business, or the evidence may be insufficient to diagnose a correctable issue.

## 3\. Create a source-improvement handoff

1.  Copy the observed answer and its relevant source references into an internal review brief.
2.  Identify the authoritative website page for the disputed fact.
3.  Record exact source wording and material omissions or contradictions.
4.  Request factual confirmation from the responsible business owner.
5.  Choose update, expansion, consolidation or no change.
6.  Submit the proposed revision for editorial and factual approval.

Where approved business context is managed through Optiview, follow its [Publish setup documentation](https://optiview.ai/docs/setup/) for the supported review and publication process. This is a conceptual handoff between products, not an asserted API integration.

## 4\. Close the loop without claiming causality

After publication, confirm the changed source is live. Continue monitoring the relevant question using consistent measurement settings. Record improvements, regressions and unchanged observations.

A later mention does not prove the content revision caused it. Other sources, system changes and answer variability may contribute. The useful record is a traceable sequence from observation to investigation, approved change and subsequent measurement.

## 5\. The completed work product

Each handoff should produce an observation ID, prompt, platform, date, answer excerpt, source URL, diagnosis, decision, content revision, approval record and follow-up date.

Use the [AI-readable website audit](https://optiview.ai/resources/ai-readable-website-audit-checklist/) when the investigation reveals broader source-quality problems. The goal is better published information, not automatically more pages.

## Additional source context

Turn each important visibility observation into a testable source question. Correct published information only when a real deficiency is identified, and measure downstream 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

- [Measuring AI visibility doesn’t change the source.](https://optiview.ai/resources/ai-visibility-publishing/) — Continue reading
- [Turn an AI visibility finding into an action.](https://optiview.ai/resources/why-visibility-reporting-isnt-enough/) — Continue reading
- [From Semrush AI Visibility Reports to a Website Publishing Backlog](https://optiview.ai/resources/semrush-ai-visibility-to-publishing-workflow/) — 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.