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[Resources](https://optiview.ai/resources/) [Implementation and operations](https://optiview.ai/resources/topics/implementation/)

Developer comparison — October 30, 2026

# Exa vs You.com: Choosing a Web Retrieval API for an AI Application

Exa and You.com both support AI applications that need information from the web. The useful choice depends on the job your application must perform—not a generic ranking of the providers.

By Optiview · Sources checked October 30, 2026

[Download this article (.md)](https://optiview.ai/resources/exa-vs-you-com-retrieval-api-decisions.md)

A developer building an AI assistant may need relevant URLs, clean page content, structured research findings or a synthesized answer with citations. Different tasks place different demands on retrieval systems.

Exa's [documentation](https://exa.ai/docs) describes search, contents, deep search, structured outputs and agent-oriented research. You.com's [documentation](https://you.com/docs/welcome) describes web search, content extraction, cited answers, multi-step research and inference services.

Both platforms support multiple stages of web intelligence. Neither should be characterized as only a search engine or only an extraction utility. The comparison below is based on documented capabilities reviewed October 30, 2026, not an executed benchmark or a verified feature-completeness audit.

## 1\. Define the required output first

| Application need | Exa starting point | You.com starting point |
| --- | --- | --- |
| Find relevant webpages | Search or Deep Search | Web Search |
| Read known URLs | Contents | Contents |
| Collect research across sources | Agent or relevant research workflow | Research |
| Return structured findings | Documented structured output capabilities | Research structured output options |
| Produce cited synthesis | Evaluate documented Exa research outputs and application design | Answer or Research |
| Connect an existing agent | Documented agent and MCP options | Documented agent and MCP options |

These are starting points for evaluation, not claims that the products are functionally identical. Confirm current API contracts, supported options, access conditions and output schemas before implementation.

## 2\. Ask questions that change the purchasing decision

*   Does the application need URL discovery, known-page extraction or both?
*   Must the result contain full content, relevant passages or a specific structured schema?
*   Is a cited synthesized answer required, or will your own model produce it?
*   How will the application verify material facts against original sources?
*   What freshness controls and metadata are actually exposed?
*   What happens when sources cannot be accessed or extracted?
*   Which operational requirements apply to authentication, errors, limits and retention?

Treat any capability not established by the reviewed documentation as Unknown, not Absent. A product's documentation landing page is not a complete negative inventory of everything the platform supports.

## 3\. Design a fair evaluation

1.  Select five representative public-information tasks from the intended application.
2.  Define success criteria before inspecting either provider's output.
3.  Use comparable inputs, filters and observation windows wherever supported.
4.  Preserve exact request configuration, returned sources and extracted content.
5.  Score factual coverage, required qualifications, source traceability and failure handling.
6.  Record noncomparable features separately rather than forcing them into one numerical score.

This is a proposed evaluation protocol. No Exa-versus-You.com tests have been performed for this article, and no claim is made about relative latency, accuracy, cost or completeness.

## 4\. Use a requirements-based decision record

| Criterion | Exa result | You.com result |
| --- | --- | --- |
| Required task supported | Verify | Verify |
| Output structure usable | Verify | Verify |
| Source evidence inspectable | Verify | Verify |
| Freshness behavior understood | Verify | Verify |
| Failure handling acceptable | Verify | Verify |
| Operational fit | Verify | Verify |

Weight requirements according to the application. A research agent and a product lookup interface may reasonably reach different decisions. Use [Exa's quickstart](https://exa.ai/docs/get-started/quickstart) and [You.com's API selection guide](https://you.com/docs/choose-the-right-api) to choose appropriate test surfaces.

## 5\. Keep publisher-controlled source quality separate

Neither provider can be judged solely by how clearly a third-party business wrote its source information. When essential facts are absent or contradictory at the origin, the publisher should correct them.

Optiview Publish addresses source preparation and approved contextual publication rather than replacing a developer's chosen web search provider. See the [Publish documentation](https://optiview.ai/docs/setup/) for supported behavior. There is no asserted native Optiview integration with either Exa or You.com.

The completed deliverable is a documented selection decision with requirements, test evidence, limitations and unresolved questions—not a universal winner.

## Additional source context

Select the API workflow that meets your application's evidence and output requirements. Test both providers on the same task before making claims about relative accuracy, freshness, coverage or performance.

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

- [Does AI receive the page your visitors see?](https://optiview.ai/resources/website-platforms-ai-readability/) — Continue reading
- [Four files. Four different jobs.](https://optiview.ai/resources/four-discovery-files/) — Continue reading
- [How to convert HTML to Markdown for AI applications](https://optiview.ai/resources/html-to-markdown-api-guide/) — 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.