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

# Book cover comparison

> Show two or more book cover designs to readers in your genre and pick the cover that grabs attention and signals the right tone for your audience.

Pick the best book cover by testing each option with genre fans.

<Frame caption="A real book cover comparison poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/book-cover-comparison.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=a90735fd00272757dd08530170cfb589" alt="Book cover comparison example poll" width="1800" height="835" data-path="images/use-cases/book-cover-comparison.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/jIdEfDSwrz-cover-comparison)

## When to use

Built for publishers and authors. Reach for it when your options are ready and you want a fast, real-audience read before you commit.

## The test at a glance

| Setting   | Value                                                                                                                                                                      |
| --------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Poll type | Head-to-head                                                                                                                                                               |
| Question  | "Which book cover do you prefer, and why?"                                                                                                                                 |
| Options   | 2-4 cover images                                                                                                                                                           |
| Audience  | 30 readers                                                                                                                                                                 |
| Reporting | Gender identity, Age range, Favorite book genres, Pet owner, Literary preference, Preferred book format, Audiobook listener, Reading frequency, Average monthly book spend |

## Run it

<Tabs>
  <Tab title="One-click">
    [Use this template →](https://app.pickfu.com/ask/template/book-cover-comparison?regular=true)
  </Tab>

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu head-to-head poll titled "Book cover comparison".
    Question: "Which book cover do you prefer, and why?"
    Setup: Head-To-Head poll. Respondents will see both covers in a random order, choose which they prefer, and tell you why they made that choice.
    Audience: 30 respondents, targeting Reading frequency - 1-3, Reading frequency - 4+; report by Gender identity, Age range, Favorite book genres.
    Publish it, then summarize the result when responses arrive.
    Tools: save_survey, publish_survey, get_survey_responses.
    ```
  </Tab>

  <Tab title="CLI">
    ```bash theme={null}
    # Create + publish with the PickFu CLI — see /integrations/cli
    pickfu survey create --type head_to_head --question "Which book cover do you prefer, and why?" --sample-size 30
    ```
  </Tab>

  <Tab title="API">
    ```bash theme={null}
    # POST /v1/surveys — see /api-reference/surveys
    curl -X POST https://api.pickfu.com/v1/surveys \
      -H "Authorization: Bearer $PICKFU_API_KEY" -H "Content-Type: application/json" \
      -d '{"questions":[{"type":"head_to_head","prompt":"Which book cover do you prefer, and why?"}],"sampleSize":30}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=head_to_head&q1-prompt=Which+book+cover+do+you+prefer%2C+and+why%3F&sample_size=30
    ```
  </Tab>
</Tabs>

## Customize

* **Audience** — swap or add [targeting traits](/docs/guides/url-parameters#targeting-and-settings) (e.g. `amznpr` for Amazon Prime shoppers).
* **Sample size** — `15` for a fast read, `30` (default), `100`+ for higher confidence.
* **Country** — add `country=US` (or CA, GB, DE, …) to target a locale.