> ## Documentation Index
> Fetch the complete documentation index at: https://docs.rippit.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Claude

> Use agent search to ask Anthropic's Claude models a set of questions with web search on, and collect every answer, citation, and search in a Rippit table.

With Claude selected in agent search, Rippit sends each of your questions to an Anthropic Claude model with its web search turned on, and saves the answer, the sources it cited, and the searches it ran. For how research tables work overall, see [How research tables work](https://docs.rippit.com/research/overview.md).

## Setup

None. Claude models are built into Rippit. When you turn on agent search, pick one or more Claude models from the **Search models** list.

## How it works

1. **Write the brief.** It sets the topic, intent, and audience for the questions.
2. **Rippit writes the questions.** 30 per input by default, grouped by theme. You can read and edit them before running.
3. **Each question goes to Claude as-is**, with web search on and no extra instructions from Rippit.
4. **Every answer is saved as a row**, and each question is repeated (twice by default) to show how consistent the answers are.

Select up to three models in one table to compare Claude with [ChatGPT](https://docs.rippit.com/research/chatgpt.md) or [Gemini](https://docs.rippit.com/research/gemini.md) on the same questions.

## What each row holds

One row per question, model, and repeat: the question and its theme, Claude's answer, the links it cited, the searches it ran and the sources they returned, a full trace, and the status of the call. Failed calls are kept as rows too.

## Good to know

* These are API calls with search on, not a recording of the Claude app. Answers can differ from what someone sees in the app.
* A sample runs up to three questions on all selected models, once each.
* Each new run is saved as its own study. The results show the latest, and older studies stay available in **Agent search**.

## Good fits

* Seeing how Claude describes your product and your competitors.
* Comparing which sources Claude cites against ChatGPT and Gemini for the same question.


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