Cheap Seats

A read-only copy of Cheap Seats measuring itself, updated hourly. Run your own.

Quick wins

The fix lists from the latest run of every prompt set, core sets first, then fastest expected ranking gain: prompts a fix could flip per working day, each weighted by what it has left to win (one minus its recommended rate over the last two weeks; named, for an info prompt). Mark a fix with the commit or pull request you submitted for it; open leaves out the ones you have. A later fix for the same page stays open, with what was tried before.

Statusall 1open 1

Priorityall 8urgent 2high 5medium 1

Siteall 1elsewhere 1

Gapall 1documentation 1

Setall 12Finding out whether AI assistants recommend us 2Getting recommended instead of a competitor 4Choosing an AI visibility tool 4Cheap Seats head to heads 1Open-source and self-hosted AI visibility 1

Publish popcorn.zone/docs/raw-data-and-api documenting stored answers, citations, JSON API medium documentation effort S flips 1 Open-source and self-hosted AI visibility

Where: popcorn.zone/docs/raw-data-and-api
Must say: State that every answer, search result and citation behind each score is kept in your own SQLite database. Show how to pull them through the JSON API and the MCP server. Include one example JSON response.
Done when: Rerun prompt 10 on search. Popcorn appears among the tools named for raw answer and citation access.
Displaces: https://developers.scrunch.com/api-reference/introduction
Why: P10: top pick Scrunch on search for both models, sourced from Scrunch API docs

Prompt for Claude Code
# Publish popcorn.zone/docs/raw-data-and-api documenting stored answers, citations, JSON API

When buyers ask an AI assistant the questions below, it doesn't recommend us, or recommends us for the wrong reasons. This is a documentation gap: the answer needed a page we don't have, or ours says the wrong thing.

## The questions it affects
- We want every raw AI answer and citation behind an AI visibility score, not just a dashboard. Which tools give us that?

## What the assistant said
P10: top pick Scrunch on search for both models, sourced from Scrunch API docs

## Who wins the question today
https://developers.scrunch.com/api-reference/introduction. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/docs/raw-data-and-api so it closes this gap. Find where pages like this live in the repo, match their structure, front matter and tone, and make the change there. If the page exists, edit it rather than starting over.

## What it must say
State that every answer, search result and citation behind each score is kept in your own SQLite database. Show how to pull them through the JSON API and the MCP server. Include one example JSON response.

## Done when
Rerun prompt 10 on search. Popcorn appears among the tools named for raw answer and citation access.

## Rules
- Don't invent numbers, benchmarks, prices, capabilities or customer names. Where a fact is needed and you can't find it in the repo or on our site, leave a clearly marked TODO saying exactly what to measure or who to ask.
- Answer the questions above directly and early on the page, in the words buyers use. AI assistants quote pages that state the answer plainly.
- Keep it scoped to this one fix. When you're done, summarise what you changed and list any TODOs.

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