> ## 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 title comparison

> Test book title options with readers in your genre and choose the title that resonates, signals the category, and earns more clicks on retailer pages.

Pick the best book title by testing what resonates with genre fans.

<Frame caption="A real book title comparison poll — the question and options respondents saw.">
  <img src="https://mintcdn.com/pickfu/nrohUWUaawyBgKuI/images/use-cases/book-title-comparison.png?fit=max&auto=format&n=nrohUWUaawyBgKuI&q=85&s=60ffc3d73b4a5767a17fc8309ec4252c" alt="Book title comparison example poll" width="1800" height="561" data-path="images/use-cases/book-title-comparison.png" />
</Frame>

[See the full interactive result →](https://www.pickfu.com/results/IL5C21Y7RD-book-title-test)

## 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 | Ranked                                                                                                                                                                     |
| Question  | "Which book title do you prefer, and why?"                                                                                                                                 |
| Options   | 2-4 titles                                                                                                                                                                 |
| 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-title-comparison?regular=true)
  </Tab>

  <Tab title="AI · MCP">
    ```text theme={null}
    Create a PickFu ranked poll titled "Book title comparison".
    Question: "Which book title do you prefer, and why?"
    Setup: Ranked poll.  Respondents will see all titles in a random order, rank them in order of preference, 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 ranked --question "Which book title 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":"ranked","prompt":"Which book title do you prefer, and why?"}],"sampleSize":30}'
    ```
  </Tab>

  <Tab title="URL parameters">
    ```
    https://app.pickfu.com/ask/survey?q1-type=ranked&q1-prompt=Which+book+title+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.