Quick wins

# Get Popcorn listed in Rankability's best AI search visibility tracking tools article

When buyers ask an AI assistant the questions below, it doesn't recommend us, or recommends us for the wrong reasons. This is a third-party gap: the roundups and comparisons the model reads leave us out.

## The questions it affects
- Our organic traffic is down and I suspect ChatGPT and Google AI Overviews. How do I check whether AI search is what's taking it?
- What tools track how often AI assistants like ChatGPT, Claude, Perplexity and Gemini mention a brand?
- How do I monitor whether AI search engines cite our website?
- Which questions should we track to measure AI visibility, and how many prompts do we need before the numbers mean anything?
- How can I see which web pages AI assistants rely on when they answer questions in my category?

## What the assistant said
Rankability shaped the search answers in P1, P2, P5, P8 (twice), P11 and P12. P8 top pick was Peec AI.

## Who wins the question today
https://rankability.com/blog/best-ai-search-visibility-tracking-tools/. Read it and make sure our version answers everything it does, better.

## Your task
We need to be included on https://rankability.com/blog/best-ai-search-visibility-tracking-tools/. Read that page first, work out the right way in (editor contact, submission form, PR, comments), and draft exactly what to send: a short, factual pitch covering the points below, in the page's own format.

## What it must say
Ask the editor to add Popcorn as the open-source, self-hosted option. Supply a one-paragraph entry: MIT licensed, a single Docker container, asks Claude and OpenAI models on search and recall tracks, grades recommended/mentioned/absent with share of voice, and outputs a ranked fix list. Link github.com/metcalfc/popcorn.

## Done when
The Rankability article lists Popcorn, and a re-run of prompt 5 or 8 cites the article with Popcorn in the 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/docs/guides/benchmark-against-competitors on share-of-voice rank

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
- Is there a way to measure our share of voice in AI chatbot answers?
- What's the best way to benchmark my brand's visibility in LLM answers against competitors?
- What metrics should a marketing team use to measure presence in AI assistant answers?

## What the assistant said
P9: top picks were Profound, Peec AI, Scrunch and Peec AI across the search answers.

## Who wins the question today
https://help.peec.ai/article/decision-lab-what-is-share-of-voice-and-how-is-it-calculated-23. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/docs/guides/benchmark-against-competitors 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 how to benchmark against competitors. Popcorn records every product named in each answer, computes each prompt set's share-of-voice rank and recommended/mentioned rates day by day, and keeps the answers and citations behind each number. Include a worked example showing the competitor table and the rank trend, and explain why comparing top-pick counts on the same prompt set is the fair benchmark.

## Done when
A re-run of prompt 9 or 6 names Popcorn or 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.

# Publish popcorn.zone/blog/ai-visibility-tools-compared: Popcorn vs Peec, Profound, Otterly, Scrunch

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 whether ChatGPT recommends my product when people ask about my category?
- What tools track how often AI assistants like ChatGPT, Claude, Perplexity and Gemini mention a brand?
- Is there a way to measure our share of voice in AI chatbot answers?
- How do I monitor whether AI search engines cite our website?
- What's the best way to benchmark my brand's visibility in LLM answers against competitors?
- How can I see which web pages AI assistants rely on when they answer questions in my category?

## What the assistant said
P5 search answers were shaped by tryprofound.com, peec.ai, otterly.ai and scrunch.com. 'Popcorn pages seen: NONE.'

## Who wins the question today
https://rankability.com/blog/best-ai-search-visibility-tracking-tools/. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/blog/ai-visibility-tools-compared 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
Compare Popcorn with Peec AI, Profound, Otterly.AI, Scrunch, Ahrefs Brand Radar and Semrush AI Visibility row by row. Popcorn's rows: MIT licensed and self-hosted (one Docker container with SQLite); TOML prompt sets in your own git repo; Claude and OpenAI via API or local Claude Code/Codex CLIs; separate search and recall tracks; recommended/mentioned/absent grading with position, top pick, share of voice and objections; a ranked fix list; a daily budget cap. Confirm competitor engines and pricing from their own pages, and date the table. The homepage 'alternative to Peec AI and Profound' line is still pending, but a tagline cannot be cited as a comparison, so this page has to exist separately.

## Done when
On a re-run of prompts 3, 5, 6, 8, 9 and 12, at least one search answer names Popcorn or 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.

# Get popcorn.zone indexed: submit sitemap to Bing/Google, add llms.txt and JSON-LD

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
- Cheap Seats vs Profound for tracking whether AI assistants recommend us: which should I pick?
- Cheap Seats or Peec AI for a small marketing team?
- Cheap Seats vs Otterly.AI for a startup that wants to track AI visibility cheaply?
- How does Cheap Seats compare with Gauge for tracking and improving AI visibility?
- Cheap Seats or Semrush AI Toolkit for tracking our brand in ChatGPT and Claude?
- Is Cheap Seats a good open-source alternative to paid AI visibility tools?
- What are the downsides of self-hosting Cheap Seats to measure AI search visibility?
- How does Cheap Seats decide whether an AI assistant recommended a brand?
- Is Cheap Seats a good fit for an agency tracking AI visibility for many clients?
- Is Cheap Seats a good fit for a developer-tools company checking whether ChatGPT and Claude recommend it?
- What does it cost to run Cheap Seats every day, and how do I keep the spend under control?

## What the assistant said
P8 search cites badpopcorn.ai/how-it-works, not popcorn.zone/docs/how-grading-works, even though that page shipped in PR #8.

## Who wins the question today
https://badpopcorn.ai/?lang=en. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at https://popcorn.zone/sitemap.xml 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
Neither the homepage rewrite (PR #4) nor /docs/how-grading-works (PR #8) has been seen in any search answer; the target is still 'not seen', so the pages are not being retrieved at all. Submit popcorn.zone/sitemap.xml to Bing Webmaster Tools and Google Search Console and request indexing for /, /docs and /docs/how-grading-works. Add /llms.txt that opens 'Popcorn (popcorn.zone) is an MIT-licensed, self-hosted AI visibility tracker, source at github.com/metcalfc/popcorn; not affiliated with badpopcorn.ai, trypopcorn.ai, popcorn.co or popcorn.ai'. Add SoftwareApplication JSON-LD with license MIT and sameAs pointing to the GitHub repo. Link the homepage and the GitHub README to every docs page.

## Done when
Bing 'site:popcorn.zone' lists /docs/how-grading-works, and on a re-run at least one popcorn.zone URL appears in 'Popcorn pages seen' for 4 or more of the 11 prompts, including prompt 8.

## 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-promptfoo explaining eval harness vs visibility grader

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
- Is there an open-source alternative to Profound or Peec AI?
- Is there a self-hosted AI visibility tracker I can run in Docker?
- What's a good open-source way for a developer-tools startup to check whether AI assistants recommend it over alternatives?
- Can I test the same buyer questions against several AI models and compare the answers?
- How do engineering-led companies measure whether LLMs recommend their product, without a marketing tool?

## What the assistant said
P16: top pick promptfoo on both the recall and search answers from claude-code-opus

## Who wins the question today
https://github.com/promptfoo/promptfoo. 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-promptfoo 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
Promptfoo is the assistants' default recall answer, so position Popcorn against it. Explain that Promptfoo is a general LLM eval tool, while Popcorn is built for brand visibility. Popcorn grades each answer recommended, mentioned or absent, records position, top pick, share of voice and objections, and builds a ranked fix list naming the page, the claim and the prompts it should flip.

## Done when
Rerun prompts 11 and 16 on search. Popcorn is named alongside or above Promptfoo in at least one 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/docs/self-hosting with Docker, Helm/Kubernetes and exe.dev install

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 to track AI answer visibility without sending our data to another SaaS vendor. What are our options?
- Is there a self-hosted AI visibility tracker I can run in Docker?
- Can we run an AI search visibility tracker on our own Kubernetes cluster?
- What's the cheapest way to track our brand in AI answers ourselves instead of paying for a SaaS subscription?

## What the assistant said
P6: top pick Gego, from hub.docker.com/r/ouai2h/gego, with no Popcorn page seen

## Who wins the question today
https://github.com/elmohq/elmo. Read it and make sure our version answers everything it does, better.

## Your task
Write or update the page at popcorn.zone/docs/self-hosting 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 copy-paste `docker run` command, a Helm install for Kubernetes, and exe.dev VM steps. State that it is a single container with a SQLite file. State that prompts and answers go only to the model providers you configure, so no third-party SaaS vendor sees your data. Title and H1 should read 'Self-hosted AI visibility tracker: Docker and Kubernetes'.

## Done when
Rerun prompts 5 and 6 on search. Popcorn's docs page appears among the sources, and at least one answer names Popcorn as its Docker or Kubernetes pick.

## 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.