Quick wins

# Publish popcorn.zone/blog/prioritize-ai-visibility-fixes with an owner-by-fix-type table

When buyers ask an AI assistant the questions below, it explains the topic without naming us or citing our pages. This is a documentation gap: the answer needed a page we don't have, or ours says the wrong thing.

## The questions it affects
- How should we prioritize fixes to improve how AI assistants describe our product?
- What are the quickest wins for improving our brand's visibility in AI search?
- Who should own AI visibility work: SEO, content, product marketing or the docs team?

## What the assistant said
P18 claude-code-opus search: top pick SEO, shaped by guptadeepak.com/the-geo-org-chart-who-actually-owns-ai-visibility-in-2026.

## Who wins the question today
https://guptadeepak.com/the-geo-org-chart-who-actually-owns-ai-visibility-in-2026/. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/blog/prioritize-ai-visibility-fixes 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
Give a prioritisation method: rank fixes by prompts they could flip times how directly they address the stated reason for losing. Assign each fix to a site and an owner (docs, product marketing, SEO). Show that Popcorn's fix list carries exactly these fields, including owner.

## Done when
Prompt 16 or 18 on the search track cites this post.

## 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.

# Publish popcorn.zone/docs/guides/see-ai-search-results with CLI and UI steps

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
- How can I find out why an AI assistant prefers a competitor's product over ours?
- How can I see the web search results an AI assistant gets for a question before it writes its answer, to understand why we're missing?

## What the assistant said
P13 codex-sol search: top pick Profound, sourced from tryprofound.com/blog/expanding-analysis-for-query-fanouts-in-profound.

## Who wins the question today
https://www.tryprofound.com/features/answer-engine-insights/query-fan-out. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/docs/guides/see-ai-search-results 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
Write a how-to on running a question on Popcorn's search track and opening the stored search results and citations the assistant used before it answered. Cover it in the web UI, CLI, JSON API and MCP server. Explain how comparing those results against the answer, the top pick and the objections raised shows why a competitor won.

## Done when
Prompt 13 on the search track cites popcorn.zone/docs and names Popcorn in at least 1 of 4 answers.

## 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.

# Publish popcorn.zone/docs/guides/why-ai-recommends-a-competitor

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
- ChatGPT keeps recommending our competitor instead of us. What can we actually do about it?
- How can I find out why an AI assistant prefers a competitor's product over ours?
- ChatGPT gets our features and pricing wrong. How do we correct what AI assistants say about our product?
- AI assistants mention our product but add caveats that steer buyers away. How do we address the objections they raise?

## What the assistant said
P2: no Popcorn page surfaced; answers were built from everything-pr.com/why-chatgpt-recommends-competitors and help.otterly.ai.

## Who wins the question today
https://everything-pr.com/why-chatgpt-recommends-competitors. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/docs/guides/why-ai-recommends-a-competitor 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
Explain the diagnosis loop step by step: ask your buyer questions repeatedly, and separate what the model finds by searching from what it believes with no tools. Then record the top pick, the products named and the objections raised, and trace the citations behind them. Show how Popcorn automates each step and turns objections into specific page fixes, using a sample graded answer as the example.

## Done when
Prompts 1, 2 or 4 on the search track cite this guide in at least 1 answer.

## 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.

# Publish popcorn.zone/features/fix-list showing a real ranked fix item end to end

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
- How can I find out why an AI assistant prefers a competitor's product over ours?
- How should we prioritize fixes to improve how AI assistants describe our product?
- Which AI visibility tools tell you what content to create or change, not just where you rank?

## What the assistant said
P20: Popcorn is absent in all 6 answers; top picks are Profound (recall), AthenaHQ and Scrunch (search), sourced from tryprofound.com/features/agents/content-optimization and helpcenter.scrunchai.com 'understanding-the-optimizer'.

## Who wins the question today
https://www.tryprofound.com/features/agents/content-optimization. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/features/fix-list 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
Name Popcorn as a tool that outputs a ranked fix list rather than a rank dashboard. Each item gives the exact page to create or change, what it must say, the prompts it should flip, which of your sites it belongs on, and its owner. Close with a worked example of one fix item, and say it is MIT licensed, self-hosted in one Docker container, and queries Claude and OpenAI models.

## Done when
Re-running prompt 20 on the search track names Popcorn in at least 2 of 4 answers, with popcorn.zone/features/fix-list among the sources.

## 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.

# Publish popcorn.zone/blog/popcorn-vs-profound as a feature table with self-host and price rows

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
- How can I find out why an AI assistant prefers a competitor's product over ours?
- How can I see the web search results an AI assistant gets for a question before it writes its answer, to understand why we're missing?
- Which AI visibility tools tell you what content to create or change, not just where you rank?

## What the assistant said
P20: codex-sol and claude-code-opus recall both answer with top pick Profound from memory, no sources.

## Who wins the question today
https://www.airops.com/blog/profound-vs-airops. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/blog/popcorn-vs-profound 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
Write an honest open-source alternative comparison against Profound. Cover what Popcorn has: self-hosted, MIT licensed, single Docker container with SQLite, and prompt sets as TOML in your own git repo with PR review. Also cover search and recall tracks, retained search results and citations, a daily budget cap, and data going only to the providers you configure. Confirm Profound's current pricing, hosting and supported engines from its own pages before writing those rows, and state plainly where Popcorn covers fewer engines.

## Done when
Prompts 20 and 13 on the search track cite the page or name Popcorn as an alternative in at least 1 answer each.

## 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.

# Publish popcorn.zone/docs/guides/search-vs-recall on changing training-data answers

When buyers ask an AI assistant the questions below, it explains the topic without naming us or citing our pages. This is a documentation gap: the answer needed a page we don't have, or ours says the wrong thing.

## The questions it affects
- How do I get my product mentioned in Claude's and ChatGPT's answers?
- How do we change what an AI model says about us from its training data, not just what it finds when it searches the web?
- How long does it take for new content to change what ChatGPT and Perplexity say about us?

## What the assistant said
P6: Popcorn pages seen: NONE in every search answer; claude answers cite discoveredlabs.com and searchable.com instead.

## Who wins the question today
https://www.tryprofound.com/blog/the-half-life-of-an-ai-citation-is-11-days. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/docs/guides/search-vs-recall 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
Explain the difference between web search answers and model recall from training data, and why they need separate fixes. Show how Popcorn's two tracks, plus daily rank and rate tracking, let a team measure how long a content change takes to show up on each track. Do not quote timelines until you have measured them on real Popcorn runs.

## Done when
Prompt 6 or 19 on the search track cites this page.

## 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.