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.