> For the complete documentation index, see [llms.txt](https://docs.scraperapi.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.scraperapi.com/resources/release-notes/july-2026/new-turn-ai-conversations-into-structured-json-with-one-api-call..md).

# NEW! Turn AI conversations into structured JSON with one API call.

{% hint style="info" %}
Beta: AI Results APIs is currently in BETA. Features, supported engines and response fields may change as we continue improving the product.
{% endhint %}

## What's new

AI Results API lets you send a prompt to a supported AI platform and receive a normalized response in either **structured JSON** or **raw HTML**.

You simply send a request and receive clean, consistent data.

#### Supported engines

* ChatGPT
* Perplexity
* Gemini
* Google AI Mode

**Why use AI Results API?**

Building against consumer AI interfaces yourself means dealing with:

* Anti-bot protection
* Browser automation
* Streaming response assembly
* Constant UI changes
* Fragile parsers

Our AI Results API removes that operational overhead so you can focus on building products.

Common use cases include:

* Brand monitoring
* Competitive intelligence
* GEO / AI search tracking
* Market research
* Large-scale AI answer collection

### Response format

Every request returns the same schema regardless of provider.

| Field             | Description                                                               |
| ----------------- | ------------------------------------------------------------------------- |
| `query`           | The original prompt                                                       |
| `answer`          | Complete response in Markdown                                             |
| `sources`         | Citations including title, URL, domain, and snippet (only when available) |
| `model`           | Model used to generate the response (when available)                      |
| `related_queries` | Suggested follow-up searches (currently Perplexity only)                  |

Fields are always returned. If data isn't available, empty arrays or `null` values are used instead of omitting fields.

Available for all plans under standard ScraperAPI pricing.

| Engine                                                 | Cost                   |
| ------------------------------------------------------ | ---------------------- |
| ChatGPT, Perplexity, Gemini, Google AI Mode            | **25 credits/request** |
| ChatGPT (`sources=true`) - Not available for free plan | **75 credits/request** |

<a href="https://dashboard.scraperapi.com/apiplayground?method=async_google_ai_mode" class="button primary" data-icon="play">Try it in Playground</a><a href="https://docs.scraperapi.com/structured-data-endpoints/ai-results" class="button secondary" data-icon="book">Documentation</a>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.scraperapi.com/resources/release-notes/july-2026/new-turn-ai-conversations-into-structured-json-with-one-api-call..md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.